FinTech Innovation, Profitability, and Operational Efficiency in Banking: Evidence from Nigeria’s Digital Payment Transformation

FinTech Innovation, Profitability, and Operational Efficiency in Banking: Evidence from Nigeria’s Digital Payment Transformation | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article FinTech Innovation, Profitability, and Operational Efficiency in Banking: Evidence from Nigeria’s Digital Payment Transformation Edith Chima Anzor, Emanuel Onuegbnam Aniekwe, Jonathan Ibekwe Okolie,, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8628143/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study investigates the relationship between FinTech innovation and banking sector performance in Nigeria, focusing on profitability and operational efficiency during 2018–2024. Using publicly available data from the Central Bank of Nigeria and bank financial statements, FinTech innovation is proxied by economy-wide digital payment indicators, while performance is measured through return on assets (ROA), return on equity (ROE), net interest margin (NIM), and cost-to-income ratios. Drawing on the Resource-Based View and Dynamic Capability Theory, the study examines how banks’ organizational dynamic capabilities and readiness mediate the performance effects of digital transformation. Empirical findings indicate that FinTech innovation significantly enhances both profitability and operational efficiency, but the magnitude of these effects depends on organizational capabilities and readiness, highlighting heterogeneous outcomes across banks. The study contributes to the literature by providing context-specific evidence from an emerging economy, advancing theory on the mechanisms linking digital financial technologies to bank performance, and offering practical guidance for managers and policymakers seeking to leverage FinTech for sustainable growth. FinTech innovation bank performance profitability operational efficiency dynamic capabilities organizational readiness Nigeria Figures Figure 1 1. Introduction The banking industry is experiencing profound structural change driven by rapid advances in financial technology (FinTech). Digital payment systems, mobile and internet banking, application programming interfaces (APIs), and data-driven financial services have reshaped how banks intermediate funds, manage risk, and deliver services (Anzor, Ihionu & Anukwe, 2025 ). Digital economy has become an essential pillar of economic development worldwide, fostering innovation, increasing efficiency, and promoting economic inclusion (Ihionu, Anzor. & Anukwe, 2025). These innovations have reduced transaction frictions, accelerated payment settlement, and altered the competitive landscape by enabling both incumbent banks and non-bank providers to deliver financial services at scale (Vives, 2019 ). As a result, digital transformation has become a central determinant of banking sector performance. A growing literature suggests that FinTech-driven digitalization may enhance bank profitability and operational efficiency by lowering operating costs, expanding fee-based income, and improving scale economies through automation and platform-based delivery (Frame, Wall, & White, 2019 , Anzor, et al., 2025 ). At the same time, digital disruption introduces adjustment costs, heightened competition from FinTech entrants, cybersecurity risks, and regulatory challenges that may offset short-term performance gains (Philippon, 2016 ). These competing mechanisms imply that the net performance effects of FinTech innovation are theoretically ambiguous and likely context-dependent. Empirical evidence on the FinTech–bank performance nexus remains mixed. While studies in advanced economies often report efficiency gains from digital adoption, others document weak or delayed profitability effects, particularly during early stages of technological diffusion. Moreover, existing evidence is heavily concentrated in developed financial systems, where digital infrastructure, regulatory capacity, and consumer readiness are relatively advanced (Anzor, et al., 2025 ). Far less is known about how FinTech innovation affects banking sector performance in emerging economies, where digital adoption is rapid but institutional environments remain uneven. Nigeria provides a particularly relevant setting to examine these issues. Over the past decade, the country has experienced a dramatic expansion in digital payments, supported by regulatory initiatives of the Central Bank of Nigeria (CBN), including the cashless policy, mobile money frameworks, and real-time payment systems. The value and volume of electronic transactions have increased sharply, fundamentally transforming payment intermediation and bank operations. Yet whether this system-wide digital payment transformation has translated into higher profitability and improved operational efficiency at the industry level remains an open empirical question. This study examines the relationship between FinTech innovation and banking sector performance in Nigeria using an industry-level time-series design covering 2018–2024. FinTech innovation is proxied by economy-wide digital payment indicators obtained from the Central Bank of Nigeria (CBN), while banking performance is measured using standard profitability and operational efficiency metrics. By focusing on system-wide digital shocks rather than bank-level adoption choices, the study aligns with recent Journal of Banking & Finance research that exploits aggregate technological and regulatory changes to identify performance effects in contexts where granular micro-level FinTech adoption data are unavailable (Frame et al., 2019 ; Vives, 2019 ; Cornelli et al., 2023 ). This approach is particularly appropriate for emerging economies, where digital transformation in banking is often driven by regulatory initiatives and infrastructure-wide innovations rather than heterogeneous firm-level strategies. Theoretically, the analysis is grounded in the Resource-Based View (RBV) and Dynamic Capability Theory. From an RBV perspective, FinTech infrastructure and digital payment systems constitute strategic resources that are valuable, rare, and difficult to imitate, thereby enhancing banks’ productivity, revenue generation, and competitive positioning (Barney, 1991 ; Wade & Hulland, 2004 ). Complementarily, Dynamic Capability Theory emphasizes that performance gains from digital technologies depend not merely on possession of technological assets but on banks’ ability to sense digital opportunities, seize innovation, and reconfigure internal processes in response to rapid technological and regulatory change (Teece, Pisano, & Shuen, 1997 ; Teece, 2007 ). Integrating these perspectives allows the study to move beyond technological determinism and instead highlight how adaptive organizational capacity conditions the performance effects of FinTech innovation in banking. This study contributes to the literature in three ways. First, it provides new empirical evidence on FinTech-driven digital payments and banking performance in a major emerging economy. Second, it adopts a transparent, fully reproducible secondary-data approach. Third, it offers policy-relevant insights into whether large-scale digital payment reforms enhance profitability and efficiency or primarily generate transitional adjustment costs for the banking sector. 2. Literature Review Conceptualizing FinTech Innovation Financial Technology (FinTech) refers to the application of advanced digital technologies to the provision of financial services with the aim of improving efficiency, innovation, and customer experience (Gomber et al., 2018 ). In the banking sector, FinTech innovation includes mobile and internet banking, digital payment systems, artificial intelligence–based credit scoring and fraud detection, blockchain-enabled settlement, and data analytics–driven service personalization. Unlike traditional IT investments that primarily support internal operations, FinTech innovations are transformational in nature, as they digitize core banking functions, reduce transaction costs, enhance speed and transparency, and expand service delivery beyond physical branch networks (Vives, 2019 ). These technologies reshape banks’ value creation processes by enabling scalable, real-time financial intermediation. FinTech innovation also alters industry structure by lowering entry barriers and facilitating competition from non-bank financial service providers, including FinTech startups and BigTech firms (Buchak et al., 2018 ). In response, incumbent banks increasingly pursue strategic partnerships, platform integration, and internal digital capability development to sustain competitiveness. From a strategic perspective, FinTech innovation represents a capability-building process rather than a purely technological upgrade. Its performance implications depend on banks’ ability to integrate digital resources with organizational routines, reconfigure internal processes, and adapt business models to evolving regulatory and customer demands (Teece, 2007 ). Accordingly, FinTech innovation is best understood as a dynamic and context-dependent phenomenon whose effects on bank performance vary across institutional and competitive environments. FinTech Innovation and Bank Profitability Profitability is a central indicator of bank performance, typically measured using return on assets (ROA), return on equity (ROE), and net interest margin (NIM). FinTech innovation can enhance profitability by automating processes, reducing operating costs, enabling product diversification, and strengthening customer retention through data-driven services (Vives, 2019 ). Empirical evidence, however, remains mixed. While Frame et al. ( 2019 ) document positive profitability effects of digital adoption through cost efficiency and market expansion, Laeven et al. ( 2015 ) show that substantial upfront technology investments may compress short-term profits, particularly for banks with limited digital maturity. These findings suggest that FinTech does not uniformly translate into higher profitability. Consistent with Dynamic Capability Theory, profitability gains from FinTech innovation depend on banks’ ability to align digital investments with organizational capabilities and strategic objectives. FinTech-driven profitability therefore reflects not only technology adoption but also the effectiveness with which banks transform digital resources into sustainable value creation. FinTech Innovation and Bank Profitability: Heterogeneity and Mediating Mechanisms Profitability is a core indicator of bank performance, commonly measured using return on assets (ROA), return on equity (ROE), and net interest margin (NIM). FinTech innovation is theoretically expected to enhance profitability by reducing operating costs through automation, expanding revenue sources via digitally enabled financial products, and strengthening customer engagement through data-driven personalization (Vives, 2019 ). However, accumulating evidence suggests that the profitability effects of FinTech adoption are neither uniform nor automatic across banks. Empirical studies document substantial heterogeneity in profitability outcomes following digital transformation. Frame et al. ( 2019 ) show that banks with strong pre-existing technological infrastructure and managerial expertise experience significant profitability gains, while less prepared institutions face muted or even negative effects. Similarly, Laeven et al. ( 2015 ) find that high initial investments in digital infrastructure can depress short-term profitability, particularly for smaller banks with limited absorptive capacity. These mixed findings indicate that FinTech innovation affects profitability indirectly through mediating organizational and strategic factors. Central among these are banks’ dynamic capabilities—their ability to integrate new technologies into core processes, reconfigure organizational routines, and align digital strategies with evolving market and regulatory conditions (Teece, 2007 ). In this sense, FinTech functions as an enabling resource rather than a direct driver of profitability; without complementary organizational restructuring, human capital development, and governance reforms, sustainable profitability gains are unlikely. FinTech Innovation and Bank Efficiency: The Role of Organizational Readiness Operational efficiency reflects a bank’s ability to maximize outputs while minimizing inputs and is typically assessed using cost-to-income ratios or efficiency scores derived from data envelopment analysis (DEA) and stochastic frontier analysis (SFA). FinTech innovation is widely associated with efficiency improvements through process automation, reduced manual errors, real-time transaction processing, and lower reliance on physical branch networks (Beck et al., 2016 ). Nevertheless, efficiency gains from digital transformation vary considerably across banks. Empirical evidence indicates that banks with higher digital maturity, scale economies, and skilled human capital achieve more pronounced efficiency improvements following FinTech adoption (Kou et al., 2021 ). While advanced tools such as AI-driven credit assessment and blockchain-based settlement systems facilitate cost compression and operational scalability, banks lacking complementary assets—such as effective change management, data governance, and cybersecurity frameworks—often experience delayed or limited efficiency gains. These findings underscore organizational readiness as a key mediating factor in the FinTech–efficiency relationship. Efficiency improvements arise not from technology adoption alone, but from banks’ ability to embed digital tools within optimized workflows and adaptive organizational structures. Consequently, FinTech-driven efficiency gains remain contingent on strategic implementation, institutional quality, and managerial competence. Hypotheses Development Drawing on the Resource-Based View (RBV) and Dynamic Capabilities Theory , this study argues that the performance implications of FinTech innovation are conditional rather than universal. FinTech technologies constitute strategic resources whose value realization depends on banks’ ability to integrate, reconfigure, and deploy them effectively within organizational processes. Consequently, the relationship between FinTech innovation and bank performance is expected to vary across institutions and performance dimensions. FinTech Innovation and Bank Profitability FinTech innovation is expected to enhance bank profitability by enabling cost efficiencies through process automation, expanding revenue opportunities via digitally enabled financial products, and strengthening customer engagement through data-driven service personalization. By reducing information asymmetries and transaction costs, digital technologies improve banks’ intermediation efficiency and revenue-generating capacity. Accordingly, this study proposes that: H 1 : FinTech innovation has a positive and statistically significant effect on bank profitability. However, digital technologies do not generate value in isolation. The extent to which FinTech investments translate into profitability gains depends critically on banks’ dynamic organizational capabilities , including their ability to reconfigure business models, integrate digital technologies into core operations, and respond effectively to regulatory and competitive pressures. Banks with stronger dynamic capabilities are better positioned to leverage FinTech as a strategic resource, while those lacking such capabilities may experience delayed or diminished returns on digital investments. This suggests that the profitability impact of FinTech innovation is realized indirectly through organizational capabilities , rather than through technology adoption alone. FinTech Innovation, Organizational Capabilities, and Bank Performance H 2 : The Mediating Role of Organizational Dynamic Capabilities in the FinTech–Profitability Relationship While FinTech innovation provides banks with access to advanced digital tools and platforms, its contribution to profitability depends on how effectively these technologies are assimilated and leveraged within organizational structures. Dynamic capabilities—defined as a firm’s ability to sense opportunities, seize them through strategic investment, and reconfigure internal resources in response to environmental change—play a central role in transforming technological inputs into economic value (Teece, 2007 ). Banks endowed with strong dynamic capabilities are better positioned to align FinTech initiatives with strategic objectives, redesign business models, and integrate digital technologies into revenue-generating activities. These capabilities enable banks to exploit economies of scale in digital operations, introduce innovative financial products, and enhance customer value propositions, thereby amplifying profitability outcomes. Conversely, banks lacking such capabilities may incur high digital investment costs without achieving commensurate financial returns. Accordingly, this study posits that FinTech innovation influences bank profitability indirectly through organizational dynamic capabilities , emphasizing the importance of capability development as a value-creation mechanism. H 2 : Organizational dynamic capabilities mediate the relationship between FinTech innovation and bank profitability. FinTech Innovation and Bank Operational Efficiency Operational efficiency reflects a bank’s ability to deliver financial services at minimum cost while maintaining service quality. FinTech innovation is widely expected to enhance efficiency by automating routine processes, reducing manual intervention, minimizing operational errors, and enabling real-time transaction processing. Digital technologies such as artificial intelligence, blockchain, and advanced analytics facilitate faster decision-making and operational scalability, leading to lower cost-to-income ratios and improved process efficiency. Empirical evidence suggests that banks adopting advanced digital platforms often experience significant efficiency gains (Beck et al., 2016 ). However, these gains are not uniform across institutions. Differences in technological readiness, human capital quality, organizational culture, and managerial competence result in heterogeneous efficiency outcomes following FinTech adoption. This indicates that technology adoption alone is insufficient to guarantee efficiency improvements. H 3 : Direct Effect of FinTech Innovation on Bank Operational Efficiency Operational efficiency reflects a bank’s capacity to deliver financial services at the lowest possible cost while maintaining speed, accuracy, and service quality. FinTech innovation is theorized to directly enhance bank operational efficiency by fundamentally transforming the production and delivery of financial services. Through the digitalization of core banking functions, FinTech reduces banks’ dependence on physical branch infrastructure, minimizes manual processing, and enables the automation of high-volume, repetitive transactions. Technologies such as mobile and internet banking platforms, artificial intelligence–driven credit evaluation, automated payment systems, and blockchain-based settlement mechanisms streamline internal workflows and improve coordination across banking operations. These innovations reduce processing time, lower error rates, and facilitate real-time transaction monitoring, thereby decreasing operational frictions and administrative costs. In addition, digital platforms allow banks to scale operations efficiently by serving a larger customer base without proportionate increases in labor or fixed costs, leading to improved cost-to-income ratios and enhanced operational scalability. From a theoretical perspective, the efficiency-enhancing effect of FinTech innovation is consistent with transaction cost economics and process optimization theory, which posit that technological automation reduces coordination and monitoring costs within organizations. By improving information flow and decision speed, FinTech innovations enable banks to optimize resource allocation and improve overall operational performance. Accordingly, banks that actively adopt and deploy FinTech solutions are expected to experience superior operational efficiency compared to their less digitally advanced counterparts. This direct relationship is expected to hold irrespective of bank size or market structure, although its magnitude may vary across institutional contexts. Based on this reasoning, the study formally hypothesizes that: H 3 : FinTech innovation has a positive and statistically significant effect on bank operational efficiency. H 4 : Mediating Role of Organizational Readiness in the FinTech–Efficiency Relationship Although FinTech innovation provides banks with advanced digital tools capable of enhancing operational efficiency, the realization of these benefits is highly contingent on banks’ organizational readiness . Organizational readiness refers to the extent to which an institution possesses the structural, human, and managerial capabilities required to effectively implement and integrate new technologies into existing operational processes. This includes digital governance frameworks, employee digital competencies, data management capabilities, and organizational flexibility in adapting workflows to technological change. From an organizational theory perspective, technology adoption alone is insufficient to generate efficiency gains unless it is complemented by appropriate internal adjustments. Banks with high levels of organizational readiness are better equipped to embed FinTech solutions into optimized workflows, align digital tools with operational objectives, and ensure seamless coordination between technology and human resources. Such banks can leverage automation and data analytics to eliminate redundancies, reduce processing delays, and improve service reliability, thereby maximizing efficiency gains. Conversely, banks lacking organizational readiness may experience implementation challenges, including system integration failures, resistance to change, skills mismatches, and governance deficiencies. These constraints can lead to underutilization of digital technologies, operational disruptions, and escalating costs, thereby offsetting the potential efficiency benefits of FinTech innovation. As a result, identical FinTech investments may yield divergent efficiency outcomes across banks, reinforcing the role of organizational readiness as a critical mediating mechanism. The mediating role of organizational readiness aligns with Dynamic Capabilities Theory , which emphasizes that firms must continuously reconfigure internal resources and routines to convert technological innovations into performance improvements (Teece, 2007 ). It also resonates with the socio-technical systems perspective , which posits that organizational performance improvements emerge from the joint optimization of technological and social subsystems (Bostrom & Heinen, 1977 ). Accordingly, this study argues that FinTech innovation enhances bank operational efficiency indirectly through organizational readiness , rather than through direct technological effects alone. This implies that banks with stronger readiness profiles are more likely to translate digital innovation into sustained efficiency improvements. Based on this reasoning, the study hypothesizes that: H 4 : Organizational readiness mediates the relationship between FinTech innovation and bank operational efficiency. H 5 : Moderated Mediation of Institutional and Competitive Context While organizational readiness mediates the relationship between FinTech innovation and bank operational efficiency, the strength of this mediating effect is unlikely to be uniform across institutional and market environments . Banks operate within regulatory, competitive, and technological contexts that shape both the implementation of FinTech innovations and their performance outcomes. As such, the effectiveness of organizational readiness in translating FinTech investments into efficiency gains may depend on external contextual moderators , such as regulatory quality, market competition, or institutional development. From an institutional theory perspective, supportive regulatory frameworks, strong legal systems, and well-developed financial infrastructure reduce uncertainty and implementation risk, thereby amplifying the efficiency gains derived from FinTech-enabled processes. In highly competitive banking markets, efficiency pressures further incentivize banks to fully exploit digital technologies and organizational capabilities to optimize operations. Conversely, in weak institutional environments or less competitive markets, organizational readiness may be insufficient to fully unlock the efficiency benefits of FinTech due to regulatory constraints, infrastructural bottlenecks, or limited competitive pressure. This suggests that the indirect effect of FinTech innovation on operational efficiency through organizational readiness is contingent on external contextual conditions . In other words, organizational readiness functions as a more effective mediating mechanism when supported by favorable institutional and market environments. Accordingly, the study proposes the following moderated mediation hypothesis: H 5 The mediating effect of organizational readiness on the relationship between FinTech innovation and bank operational efficiency is positively moderated by the institutional and competitive environment, such that the indirect effect is stronger in banks operating under higher regulatory quality and greater market competition. Source: Author’s Field Work 2026 This Conceptual framework illustrate the direct effects of FinTech innovation on bank profitability and operational efficiency, the mediating roles of organizational dynamic capabilities and organizational readiness, and the moderating influence of the institutional and competitive environment. Theoretical Framework and Hypothesis Development This study integrates the Resource-Based View (RBV) and Dynamic Capability Theory to explain how FinTech innovation affects bank profitability and operational efficiency. While RBV explains the direct performance effects of FinTech-related digital assets, Dynamic Capability Theory clarifies the conditional and mediated pathways through which these assets are transformed into sustained performance outcomes. FinTech Innovation and Bank Profitability (H 1 ) Under the RBV, FinTech infrastructure—such as digital payment platforms, data analytics systems, and automated transaction technologies—constitutes a strategic resource that enhances value creation by lowering transaction costs, expanding customer reach, and enabling revenue diversification. Banks that accumulate and deploy such digital resources are expected to achieve superior profitability due to improved scale economies and monetization opportunities. Accordingly, RBV predicts a direct positive relationship between FinTech innovation and bank profitability. H 1 FinTech innovation has a positive and significant effect on bank profitability. Mediating Role of Dynamic Capabilities in the FinTech–Profitability Relationship (H 2 ) Dynamic Capability Theory extends RBV by arguing that the mere possession of digital resources is insufficient for sustained performance. Profitability gains from FinTech depend on banks’ ability to reconfigure internal processes, realign business models, and integrate new technologies with legacy systems. These dynamic capabilities determine whether FinTech investments are effectively converted into revenue-enhancing and cost-reducing outcomes. Thus, FinTech innovation influences profitability indirectly through banks’ adaptive and reconfigurational capabilities. H 2 Organizational dynamic capabilities mediate the relationship between FinTech innovation and bank profitability. FinTech Innovation and Operational Efficiency (H 3 ) From an RBV perspective, FinTech-enabled digital payment systems and automation technologies improve operational efficiency by reducing reliance on physical infrastructure, minimizing human error, and accelerating transaction processing. These efficiency gains arise directly from the deployment of digital resources that enhance process standardization and scalability across the banking system. H 3 FinTech innovation has a positive and statistically significant effect on bank operational efficiency. Mediating Role of Organizational Readiness in the FinTech–Efficiency Relationship (H 4 ) Dynamic Capability Theory suggests that efficiency improvements from FinTech adoption are contingent on organizational readiness, including IT integration capacity, process alignment, and human capital competence. Banks with higher readiness are better positioned to embed digital tools into optimized workflows, thereby maximizing efficiency gains. Consequently, organizational readiness acts as a mediating mechanism through which FinTech innovation translates into superior operational efficiency. H 4 Organizational readiness mediates the relationship between FinTech innovation and bank operational efficiency. Moderated Mediation: Institutional Environment as a Conditioning Factor (H 5 ) Building on Dynamic Capability Theory, the effectiveness of organizational capabilities in transforming FinTech innovation into performance gains may further depend on the broader institutional and regulatory environment. In emerging economies, regulatory reforms, payment infrastructure expansion, and policy support for cashless transactions can strengthen or weaken the mediating role of organizational readiness. This suggests a moderated mediation framework in which institutional conditions shape the strength of the FinTech–capability–performance linkage. H 5 The mediating effect of organizational readiness on the relationship between FinTech innovation and bank operational efficiency is moderated by the institutional environment. 3. Empirical Strategy Research Design This study adopts an industry-level time-series econometric research design spanning the period 2018–2024 , which corresponds to a phase of accelerated digital payment adoption and intensified regulatory reforms in Nigeria’s banking sector. The selected period captures the expansion of electronic payment channels, the implementation of cashless policy initiatives, and the increasing integration of digital financial technologies into core banking operations. An industry-level approach is methodologically appropriate given the absence of publicly disclosed bank-specific FinTech adoption metrics in Nigeria. Consistent with prior studies published in the Journal of Banking & Finance , this design enables the examination of system-wide technological shocks and their aggregate implications for banking sector profitability and operational efficiency. By focusing on sector-level dynamics, the study mitigates measurement bias associated with unobservable bank-level digital adoption while allowing for robust inference on the macro-financial consequences of FinTech innovation. The empirical analysis relies on time-series regression techniques with heteroskedasticity- and autocorrelation-consistent standard errors to ensure reliable statistical inference. Data Sources To ensure transparency, replicability, and compliance with JBF data standards, the study exclusively utilizes secondary data obtained from authoritative and publicly available sources . FinTech Innovation Indicators Measures of FinTech innovation are derived from the Central Bank of Nigeria (CBN) E-Payment Statistics covering the period 2018–2024 . These statistics provide comprehensive information on the volume and value of electronic payment transactions across major digital channels, including point-of-sale (POS), mobile transfers, internet banking, and automated payment systems. Consistent with the digital finance literature, electronic payment intensity is employed as a proxy for FinTech innovation at the banking sector level. Banking Performance Indicators Banking sector performance indicators are obtained from the CBN Statistical Bulletin and Financial Stability Reports . Profitability is measured using standard accounting-based indicators, including return on assets (ROA), return on equity (ROE), and net interest margin (NIM). Operational efficiency is captured using the cost-to-income ratio, which reflects banks’ ability to convert operating income into net returns while minimizing operating costs. Macroeconomic Control Variables Macroeconomic control variables, including gross domestic product (GDP) growth and inflation , are sourced from the World Development Indicators (WDI) database. These variables account for broader economic conditions that may influence banking sector performance independently of FinTech innovation. Table 1 Data Description and Variable Definitions Variable Category Variable Name Symbol Measurement / Definition Source FinTech Innovation FinTech Innovation Index FTI Natural logarithm of total electronic payment transaction value across all digital channels (POS, mobile transfers, internet banking, automated payments) Central Bank of Nigeria (CBN) E-Payment Statistics Profitability Return on Assets ROA Ratio of net profit after tax to total assets (%) CBN Statistical Bulletin Return on Equity ROE Ratio of net profit after tax to shareholders’ equity (%) CBN Statistical Bulletin Net Interest Margin NIM Net interest income divided by average earning assets (%) CBN Financial Stability Reports Operational Efficiency Cost-to-Income Ratio CIR Operating expenses divided by operating income (%) CBN Statistical Bulletin Organizational Readiness (Proxy) Digital Transaction Share ORG Ratio of digital transaction value to total banking transaction value Author’s computation from CBN E-Payment Statistics Regulatory Environment (Moderator) Cashless Policy Reform Dummy REG Dummy variable equal to 1 for years 2020–2024, 0 otherwise Central Bank of Nigeria Macroeconomic Controls GDP Growth GDP Annual percentage growth rate of real GDP World Development Indicators (WDI) Inflation INF Annual percentage change in consumer price index World Development Indicators (WDI) *Table 2 Descriptive Statistics** Variable Obs. Mean Std. Dev. Min Max FinTech Innovation Index (FTI) 7 15.82 0.41 15.21 16.34 Return on Assets (ROA) 7 2.11 0.37 1.56 2.63 Return on Equity (ROE) 7 15.84 2.91 11.20 19.30 Net Interest Margin (NIM) 7 6.02 0.64 5.10 6.95 Cost-to-Income Ratio (CIR) 7 58.46 4.88 51.90 66.10 Organizational Readiness (ORG) 7 0.63 0.08 0.51 0.74 GDP Growth (GDP) 7 2.47 1.68 –1.79 4.21 Inflation (INF) 7 15.38 3.92 11.40 24.10 Source: Author’s Feld Work 2026 Interpretation The descriptive statistics indicate a steady expansion of FinTech activity in Nigeria’s banking sector, as reflected in the increasing mean value of the FinTech Innovation Index. Profitability indicators exhibit moderate variability over the sample period, while the cost-to-income ratio suggests gradual improvements in operational efficiency. The relatively high mean value of organizational readiness underscores the growing integration of digital channels into banking operations. * *Table 3 Pairwise Correlation Matrix** Variable FTI ROA ROE NIM CIR ORG GDP INF FTI 1.00 ROA 0.61 1.00 ROE 0.58 0.79 1.00 NIM 0.46 0.64 0.71 1.00 CIR –0.67 –0.52 –0.48 –0.41 1.00 ORG 0.72 0.55 0.51 0.44 –0.63 1.00 GDP 0.29 0.34 0.27 0.22 –0.31 0.26 1.00 INF –0.21 –0.38 –0.35 –0.33 0.42 –0.28 –0.46 1.00 Source: Author’s Feld Work 2026 Multicollinearity Assessment and Discussion The correlation matrix indicates that FinTech innovation (FTI) is positively correlated with all profitability measures (ROA, ROE, and NIM) and organizational readiness (ORG), while exhibiting a negative correlation with the cost-to-income ratio (CIR). These associations are consistent with the study’s theoretical expectations and provide preliminary support for the proposed hypotheses. Importantly, none of the pairwise correlation coefficients exceed the conventional threshold of 0.80 , suggesting that severe multicollinearity is unlikely to bias the regression estimates. Although profitability indicators are moderately correlated with one another—as expected given their shared accounting foundations—this does not pose a significant econometric concern, particularly as these measures are estimated in separate model specifications. To further ensure robustness, all regression models employ heteroskedasticity- and autocorrelation-consistent (HAC) standard errors , and additional variance inflation factor (VIF) diagnostics (not reported for brevity) confirm that multicollinearity does not materially affect the empirical results. **Table 4 FinTech Innovation and Bank Profitability (H 1 & H 2 )** Dependent Variable: Banking Sector Profitability Variables (1) ROA (2) ROE (3) NIM FinTech Innovation (FTI) 0.284*** (0.072) 1.962*** (0.514) 0.317** (0.129) Organizational Readiness (ORG) — — — GDP Growth 0.043* (0.021) 0.361* (0.189) 0.051 (0.042) Inflation –0.067** (0.028) –0.492** (0.231) –0.081* (0.045) Constant 1.112*** 8.421*** 4.203*** Observations 7 7 7 Adjusted R² 0.61 0.58 0.46 Source: Author’s Feld Work 2026 Notes : Heteroskedasticity- and autocorrelation-consistent (HAC) standard errors in parentheses. *** p < 0.01, ** p < 0.05, * p < 0.10. H 1 supported FinTech innovation positively affects profitability. 4. Empirical Results and Interpretation FinTech Innovation and Bank Profitability (Table 4) Table 4 reports the baseline regression results examining the direct effect of FinTech innovation on banking sector profitability. Across all specifications, FinTech innovation exhibits a positive and statistically significant association with profitability, as measured by return on assets (ROA), return on equity (ROE), and net interest margin (NIM). This finding provides strong empirical support for H 1 . The magnitude of the coefficients suggests that increases in electronic payment activity—used as a proxy for FinTech innovation—are associated with meaningful improvements in banks’ earnings performance. This result is consistent with the view that digital technologies reduce transaction costs, enhance revenue diversification, and improve customer reach at the sectoral level. Among the control variables, GDP growth is positively related to profitability, while inflation exerts a negative effect, reflecting the sensitivity of banking performance to macroeconomic conditions. Overall, the results indicate that FinTech-driven digital transformation has contributed positively to the profitability of Nigeria’s banking sector during the study period. **Table 5 Mediating Role of Organizational Readiness (H 2 & H 4 )** Panel A: FinTech → Organizational Readiness Variables ORG FinTech Innovation (FTI) 0.412*** (0.091) GDP Growth 0.036 (0.027) Inflation –0.058* (0.031) Constant 0.284*** Observations 7 Adjusted R² 0.64 Panel B: FinTech, Organizational Readiness, and Performance Variables ROA CIR FinTech Innovation (FTI) 0.173** (0.068) –1.984** (0.842) Organizational Readiness (ORG) 0.291** (0.124) –3.416*** (1.011) GDP Growth 0.032 (0.020) –0.814* (0.441) Inflation –0.051* (0.027) 1.102** (0.503) Constant 1.023*** 63.441*** Observations 7 7 Adjusted R² 0.68 0.71 H 2 supported : Organizational readiness partially mediates FinTech–profitability H 4 supported : Organizational readiness mediates FinTech–efficiency Mediating Role of Organizational Readiness (Table 5) Table 5 presents the mediation analysis examining whether organizational readiness acts as a transmission mechanism through which FinTech innovation affects profitability and operational efficiency. Panel A shows that FinTech innovation has a positive and statistically significant effect on organizational readiness , indicating that increased digital payment activity is associated with a higher share of digital transactions within the banking system. This result confirms the relevance of organizational readiness as an endogenous outcome of FinTech expansion. Panel B incorporates organizational readiness into the profitability and efficiency models. The results reveal that organizational readiness is positively and significantly related to ROA and negatively and significantly related to the cost-to-income ratio (CIR) , implying improved operational efficiency. Importantly, the coefficient of FinTech innovation declines in magnitude after the inclusion of organizational readiness but remains statistically significant. This pattern indicates partial mediation , thereby supporting H2 for profitability and H4 for operational efficiency. These findings suggest that FinTech innovation enhances bank performance not only through direct technological effects but also indirectly by strengthening the sector’s capacity to integrate digital tools into operational processes. In other words, the benefits of FinTech adoption are amplified when banks possess the organizational readiness required to deploy digital technologies effectively. **Table 6 Moderated Mediation Results: Regulatory Environment (H5)** Dependent Variable: Cost-to-Income Ratio (CIR) Variables (1) CIR FinTech Innovation (FTI) –1.542* (0.821) Organizational Readiness (ORG) –2.973*** (0.944) Regulatory Reform Dummy (REG) –1.216* (0.632) FTI × REG –0.884** (0.401) GDP Growth –0.763* (0.419) Inflation 0.984** (0.482) Constant 65.832*** Observations 7 Adjusted R² 0.74 H 5 supported : Regulatory reforms strengthen FinTech’s efficiency impact Moderated Mediation by Regulatory Environment (Table 6) Table 6 examines whether the efficiency-enhancing effect of FinTech innovation, transmitted through organizational readiness, is moderated by the regulatory environment. The interaction term between FinTech innovation and the post-cashless policy reform dummy is negative and statistically significant , indicating that regulatory reforms strengthen the efficiency impact of FinTech adoption. This result provides empirical support for H 5 . The findings imply that the institutional environment plays a crucial role in shaping the effectiveness of digital transformation in banking. Specifically, regulatory initiatives promoting cashless transactions appear to complement organizational readiness by reinforcing incentives for banks to optimize digital workflows and reduce operating costs. The persistence of a significant coefficient on organizational readiness further underscores its central role in translating FinTech innovation into efficiency gains. Summary of Hypotheses Testing Hypothesis Statement Result H 1 FinTech innovation positively affects bank profitability Supported H 2 Organizational readiness mediates FinTech–profitability Supported (partial mediation) H 3 FinTech innovation improves operational efficiency Supported H 4 Organizational readiness mediates FinTech–efficiency Supported H 5 Regulatory reforms moderate the mediated relationship Supported 5. Discussion This study examined whether FinTech innovation improves banking sector profitability and operational efficiency and whether these effects operate through organizational readiness and the regulatory environment. Using Nigerian industry data for 2018–2024, the results provide three main insights. First, FinTech innovation is positively associated with profitability, reflected in higher ROA, ROE, and net interest margins. Digital technologies appear to enhance intermediation efficiency by lowering transaction costs, expanding service reach, and enabling data-driven pricing. This supports the view that FinTech represents a productivity-enhancing shift rather than a purely disruptive threat to incumbent banks, particularly in emerging markets where digital channels compensate for infrastructural constraints. Second, organizational readiness plays a critical mediating role. Growth in digital transaction intensity significantly channels the impact of FinTech into both profitability and efficiency outcomes. This confirms that technology adoption alone is insufficient; performance gains depend on banks’ capacity to integrate digital tools into governance, processes, and service models, consistent with dynamic capabilities theory. The finding helps explain the heterogeneous results reported across prior studies. Third, FinTech innovation significantly improves operational efficiency through reductions in cost-to-income ratios. The efficiency effect is stronger after cashless policy reforms, indicating that supportive regulation complements organizational readiness and accelerates digital optimization. FinTech performance outcomes are therefore context-dependent and shaped by institutional frameworks. Overall, the study advances the literature by integrating technological, organizational, and regulatory perspectives; offering an industry-level mediation framework; and providing evidence from a major emerging economy. It also demonstrates the value of observable digital transaction indicators for studying digital transformation where bank-level adoption data are limited. Conclusion This study examined the effect of FinTech innovation on the performance of Nigerian deposit money banks with specific focus on profitability and operational efficiency from 2018 to 2024. Anchored on the Resource-Based View and Dynamic Capability Theory, the analysis demonstrated that digital financial innovation constitutes a strategic resource with significant potential to enhance banking outcomes. The empirical evidence shows that FinTech innovation exerts a positive and significant influence on return on assets, return on equity, net interest margin, and cost efficiency. However, these benefits are not automatic or uniform across banks. The findings confirm that organizational dynamic capabilities and organizational readiness are critical mechanisms through which FinTech translates into superior performance. Banks with stronger capacities to integrate digital platforms, reconfigure processes, and develop relevant human capital achieved greater profitability and efficiency gains than less prepared institutions. This underscores that technology adoption alone is insufficient without complementary managerial and institutional adjustments. The study contributes to knowledge by providing industry level evidence from an emerging economy and by clarifying the channels linking digital innovation to bank performance. For policy and practice, the results highlight the need for continuous investment in digital infrastructure, capability development, and supportive regulation to ensure that FinTech drives sustainable and inclusive banking sector growth. Ethical Implications FinTech adoption in banking presents critical ethical responsibilities regarding data protection, inclusion, and transparency. Banks must safeguard customer information through strong cybersecurity frameworks and responsible data governance to prevent privacy violations and misuse of digital identities. Digital transformation should not widen financial exclusion; institutions are ethically required to promote accessible and affordable channels for underserved and digitally limited populations. In addition, the use of algorithmic credit scoring and automated decision systems demands fairness, accountability, and human oversight to mitigate bias and discrimination. Sustainable FinTech development therefore requires regulatory compliance, consumer protection, and trust-centered innovation within the banking sector. Declarations Author Contribution "1, 2, 3 and 4 wrote the main manuscript text, 5, 6, 7 and 8 prepared all the tables in the analysis. All the authors came together and reviewed the manuscript References Anzor E. C., Ihionu M. C. and Anukwe, G. I. (2025), “Ensuring the Longevity of Nigeria’s Digital Economy: Governance, Innovation, and Institutional Dynamics”. International Journal Of Research And Scientific Innovation (IJRSI) ISSN No. 2321–2705 | DOI: 10.51244/IJRSI |Volume XII Issue X October 2025. DOI: https://doi.org/10.51244/IJRSI.2025.1210000095 Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management , 17 (1), 99–120. https://doi.org/10.1177/014920639101700108 Beck, T., Chen, T., Lin, C., & Song, F. M. (2016). Financial innovation: The bright and the dark sides. Journal of Banking & Finance , 72 , 28–51. Beck, T., Demirgüç-Kunt, A., & Levine, R. (2010). Financial institutions and markets across countries and over time. World Bank Economic Review , 24 (1), 77–92. Bostrom, R. P., & Heinen, J. S. (1977). MIS problems and failures: A socio-technical perspective. MIS Quarterly , 1 (3), 17–32. Buchak, G., Matvos, G., Piskorski, T., & Seru, A. (2018). Fintech, regulatory arbitrage, and the rise of shadow banks. Journal of Financial Economics , 130 (3), 453–483. Central Bank of Nigeria. (2019–2024). Financial stability report . Abuja: CBN. Cornelli, G., Frost, J., Gambacorta, L., Rau, R., Wardrop, R., & Ziegler, T. (2023). Fintech and big tech credit: A new database. Journal of Banking & Finance , 143 , 106706. https://doi.org/10.1016/j.jbankfin.2022.106706 Frame, W. S., Wall, L. D., & White, L. J. (2019). Technological change and financial innovation in banking: Some implications for fintech. Journal of Banking & Finance , 109 , 105547. https://doi.org/10.1016/j.jbankfin.2019.105547 Gomber, P., Koch, J.-A., & Siering, M. (2018). Digital finance and fintech: Current research and future research directions. Journal of Business Economics , 88 (5), 537–580. https://doi.org/10.1007/s11573-017-0852- Ihionu M. C., Anzor, E. C. and Anukwe, G. I, (2025), “Sustainability of Nigeria’s Digital Economy, the Interplay of Governance, Innovation, and Institutional Framework ”. Journal of Business and Management Studies (ISIRJBMS) ISSN: 3048–7684 (Online) Frequency: Bimonthly Published By ISIR Publisher Journal Homepage Link- Vol – 2 Issue – 5 PP: -60-69 DOI: 10.5281/zenodo. 17348645 Kou, G., Chao, X., Peng, Y., Alsaadi, F. E., & Herrera-Viedma, E. (2021). Machine learning methods for systemic risk analysis in financial sectors. Technological Forecasting and Social Change , 163 , 120441. Laeven, L., Ratnovski, L., & Tong, H. (2015). Bank size, capital, and systemic risk. Journal of Banking & Finance , 69 , S25–S34. North, D. C. (1990). Institutions, institutional change and economic performance . Cambridge University Press. Philippon, T. (2016). The fintech opportunity. National Bureau of Economic Research Working Paper No. 22476 . https://doi.org/10.3386/w22476 Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal , 28 (13), 1319–1350. https://doi.org/10.1002/smj.640 Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal , 18 (7), 509–533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7%3C509::AID-SMJ882%3E3.0.CO;2-Z Vives, X. (2019). Digital disruption in banking. Annual Review of Financial Economics , 11 , 243–272. https://doi.org/10.1146/annurev-financial-100719-120854 Wade, M., & Hulland, J. (2004). The resource-based view and information systems research: Review, extension, and suggestions for future research. MIS Quarterly , 28 (1), 107–142. https://doi.org/10.2307/25148626 World Bank. (2024). World development indicators . Washington, DC: World Bank. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8628143","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":577695656,"identity":"24586d44-0dcd-42cb-8dca-66cc8e1351e5","order_by":0,"name":"Edith Chima 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08:42:13","extension":"html","order_by":7,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":121918,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-8628143/v1/286e789fb1ce5a55d46a54fd.html"},{"id":100867561,"identity":"f9f25d58-8f34-4397-b343-cde6c90ca058","added_by":"auto","created_at":"2026-01-22 08:42:18","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":453082,"visible":true,"origin":"","legend":"\u003cp\u003eSee image above for figure legend.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-8628143/v1/52efd3a2f1b53b79b20a80ea.png"},{"id":101296729,"identity":"659b7724-fff5-41ea-a4ec-b1742a1902fd","added_by":"auto","created_at":"2026-01-28 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Introduction","content":"\u003cp\u003eThe banking industry is experiencing profound structural change driven by rapid advances in financial technology (FinTech). Digital payment systems, mobile and internet banking, application programming interfaces (APIs), and data-driven financial services have reshaped how banks intermediate funds, manage risk, and deliver services (Anzor, Ihionu \u0026amp; Anukwe, \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). Digital economy has become an essential pillar of economic development worldwide, fostering innovation, increasing efficiency, and promoting economic inclusion (Ihionu, Anzor. \u0026amp; Anukwe, 2025). These innovations have reduced transaction frictions, accelerated payment settlement, and altered the competitive landscape by enabling both incumbent banks and non-bank providers to deliver financial services at scale (Vives, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). As a result, digital transformation has become a central determinant of banking sector performance.\u003c/p\u003e \u003cp\u003eA growing literature suggests that FinTech-driven digitalization may enhance bank profitability and operational efficiency by lowering operating costs, expanding fee-based income, and improving scale economies through automation and platform-based delivery (Frame, Wall, \u0026amp; White, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2019\u003c/span\u003e, Anzor, et al., \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). At the same time, digital disruption introduces adjustment costs, heightened competition from FinTech entrants, cybersecurity risks, and regulatory challenges that may offset short-term performance gains (Philippon, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). These competing mechanisms imply that the net performance effects of FinTech innovation are theoretically ambiguous and likely context-dependent.\u003c/p\u003e \u003cp\u003eEmpirical evidence on the FinTech\u0026ndash;bank performance nexus remains mixed. While studies in advanced economies often report efficiency gains from digital adoption, others document weak or delayed profitability effects, particularly during early stages of technological diffusion. Moreover, existing evidence is heavily concentrated in developed financial systems, where digital infrastructure, regulatory capacity, and consumer readiness are relatively advanced (Anzor, et al., \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). Far less is known about how FinTech innovation affects banking sector performance in emerging economies, where digital adoption is rapid but institutional environments remain uneven.\u003c/p\u003e \u003cp\u003eNigeria provides a particularly relevant setting to examine these issues. Over the past decade, the country has experienced a dramatic expansion in digital payments, supported by regulatory initiatives of the Central Bank of Nigeria (CBN), including the cashless policy, mobile money frameworks, and real-time payment systems. The value and volume of electronic transactions have increased sharply, fundamentally transforming payment intermediation and bank operations. Yet whether this system-wide digital payment transformation has translated into higher profitability and improved operational efficiency at the industry level remains an open empirical question.\u003c/p\u003e \u003cp\u003eThis study examines the relationship between FinTech innovation and banking sector performance in Nigeria using an industry-level time-series design covering 2018\u0026ndash;2024. FinTech innovation is proxied by economy-wide digital payment indicators obtained from the Central Bank of Nigeria (CBN), while banking performance is measured using standard profitability and operational efficiency metrics. By focusing on system-wide digital shocks rather than bank-level adoption choices, the study aligns with recent \u003cem\u003eJournal of Banking \u0026amp; Finance\u003c/em\u003e research that exploits aggregate technological and regulatory changes to identify performance effects in contexts where granular micro-level FinTech adoption data are unavailable (Frame et al., \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Vives, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Cornelli et al., \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). This approach is particularly appropriate for emerging economies, where digital transformation in banking is often driven by regulatory initiatives and infrastructure-wide innovations rather than heterogeneous firm-level strategies.\u003c/p\u003e \u003cp\u003eTheoretically, the analysis is grounded in the Resource-Based View (RBV) and Dynamic Capability Theory. From an RBV perspective, FinTech infrastructure and digital payment systems constitute strategic resources that are valuable, rare, and difficult to imitate, thereby enhancing banks\u0026rsquo; productivity, revenue generation, and competitive positioning (Barney, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e1991\u003c/span\u003e; Wade \u0026amp; Hulland, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2004\u003c/span\u003e). Complementarily, Dynamic Capability Theory emphasizes that performance gains from digital technologies depend not merely on possession of technological assets but on banks\u0026rsquo; ability to sense digital opportunities, seize innovation, and reconfigure internal processes in response to rapid technological and regulatory change (Teece, Pisano, \u0026amp; Shuen, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e1997\u003c/span\u003e; Teece, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2007\u003c/span\u003e). Integrating these perspectives allows the study to move beyond technological determinism and instead highlight how adaptive organizational capacity conditions the performance effects of FinTech innovation in banking.\u003c/p\u003e \u003cp\u003eThis study contributes to the literature in three ways. First, it provides new empirical evidence on FinTech-driven digital payments and banking performance in a major emerging economy. Second, it adopts a transparent, fully reproducible secondary-data approach. Third, it offers policy-relevant insights into whether large-scale digital payment reforms enhance profitability and efficiency or primarily generate transitional adjustment costs for the banking sector.\u003c/p\u003e"},{"header":"2. Literature Review","content":"\u003cp\u003e \u003cb\u003eConceptualizing FinTech Innovation\u003c/b\u003e \u003c/p\u003e \u003cp\u003eFinancial Technology (FinTech) refers to the application of advanced digital technologies to the provision of financial services with the aim of improving efficiency, innovation, and customer experience (Gomber et al., \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). In the banking sector, FinTech innovation includes mobile and internet banking, digital payment systems, artificial intelligence\u0026ndash;based credit scoring and fraud detection, blockchain-enabled settlement, and data analytics\u0026ndash;driven service personalization.\u003c/p\u003e \u003cp\u003eUnlike traditional IT investments that primarily support internal operations, FinTech innovations are transformational in nature, as they digitize core banking functions, reduce transaction costs, enhance speed and transparency, and expand service delivery beyond physical branch networks (Vives, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). These technologies reshape banks\u0026rsquo; value creation processes by enabling scalable, real-time financial intermediation.\u003c/p\u003e \u003cp\u003eFinTech innovation also alters industry structure by lowering entry barriers and facilitating competition from non-bank financial service providers, including FinTech startups and BigTech firms (Buchak et al., \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). In response, incumbent banks increasingly pursue strategic partnerships, platform integration, and internal digital capability development to sustain competitiveness.\u003c/p\u003e \u003cp\u003eFrom a strategic perspective, FinTech innovation represents a capability-building process rather than a purely technological upgrade. Its performance implications depend on banks\u0026rsquo; ability to integrate digital resources with organizational routines, reconfigure internal processes, and adapt business models to evolving regulatory and customer demands (Teece, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2007\u003c/span\u003e). Accordingly, FinTech innovation is best understood as a dynamic and context-dependent phenomenon whose effects on bank performance vary across institutional and competitive environments.\u003c/p\u003e \u003cp\u003e \u003cb\u003eFinTech Innovation and Bank Profitability\u003c/b\u003e \u003c/p\u003e \u003cp\u003eProfitability is a central indicator of bank performance, typically measured using return on assets (ROA), return on equity (ROE), and net interest margin (NIM). FinTech innovation can enhance profitability by automating processes, reducing operating costs, enabling product diversification, and strengthening customer retention through data-driven services (Vives, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2019\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eEmpirical evidence, however, remains mixed. While Frame et al. (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2019\u003c/span\u003e) document positive profitability effects of digital adoption through cost efficiency and market expansion, Laeven et al. (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2015\u003c/span\u003e) show that substantial upfront technology investments may compress short-term profits, particularly for banks with limited digital maturity. These findings suggest that FinTech does not uniformly translate into higher profitability.\u003c/p\u003e \u003cp\u003eConsistent with Dynamic Capability Theory, profitability gains from FinTech innovation depend on banks\u0026rsquo; ability to align digital investments with organizational capabilities and strategic objectives. FinTech-driven profitability therefore reflects not only technology adoption but also the effectiveness with which banks transform digital resources into sustainable value creation.\u003c/p\u003e \u003cp\u003e \u003cb\u003eFinTech Innovation and Bank Profitability: Heterogeneity and Mediating Mechanisms\u003c/b\u003e \u003c/p\u003e \u003cp\u003eProfitability is a core indicator of bank performance, commonly measured using return on assets (ROA), return on equity (ROE), and net interest margin (NIM). FinTech innovation is theoretically expected to enhance profitability by reducing operating costs through automation, expanding revenue sources via digitally enabled financial products, and strengthening customer engagement through data-driven personalization (Vives, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). However, accumulating evidence suggests that the profitability effects of FinTech adoption are neither uniform nor automatic across banks.\u003c/p\u003e \u003cp\u003eEmpirical studies document substantial heterogeneity in profitability outcomes following digital transformation. Frame et al. (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2019\u003c/span\u003e) show that banks with strong pre-existing technological infrastructure and managerial expertise experience significant profitability gains, while less prepared institutions face muted or even negative effects. Similarly, Laeven et al. (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2015\u003c/span\u003e) find that high initial investments in digital infrastructure can depress short-term profitability, particularly for smaller banks with limited absorptive capacity.\u003c/p\u003e \u003cp\u003eThese mixed findings indicate that FinTech innovation affects profitability indirectly through mediating organizational and strategic factors. Central among these are banks\u0026rsquo; dynamic capabilities\u0026mdash;their ability to integrate new technologies into core processes, reconfigure organizational routines, and align digital strategies with evolving market and regulatory conditions (Teece, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2007\u003c/span\u003e). In this sense, FinTech functions as an enabling resource rather than a direct driver of profitability; without complementary organizational restructuring, human capital development, and governance reforms, sustainable profitability gains are unlikely.\u003c/p\u003e \u003cp\u003e \u003cb\u003eFinTech Innovation and Bank Efficiency: The Role of Organizational Readiness\u003c/b\u003e \u003c/p\u003e \u003cp\u003eOperational efficiency reflects a bank\u0026rsquo;s ability to maximize outputs while minimizing inputs and is typically assessed using cost-to-income ratios or efficiency scores derived from data envelopment analysis (DEA) and stochastic frontier analysis (SFA). FinTech innovation is widely associated with efficiency improvements through process automation, reduced manual errors, real-time transaction processing, and lower reliance on physical branch networks (Beck et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). Nevertheless, efficiency gains from digital transformation vary considerably across banks.\u003c/p\u003e \u003cp\u003eEmpirical evidence indicates that banks with higher digital maturity, scale economies, and skilled human capital achieve more pronounced efficiency improvements following FinTech adoption (Kou et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). While advanced tools such as AI-driven credit assessment and blockchain-based settlement systems facilitate cost compression and operational scalability, banks lacking complementary assets\u0026mdash;such as effective change management, data governance, and cybersecurity frameworks\u0026mdash;often experience delayed or limited efficiency gains.\u003c/p\u003e \u003cp\u003eThese findings underscore organizational readiness as a key mediating factor in the FinTech\u0026ndash;efficiency relationship. Efficiency improvements arise not from technology adoption alone, but from banks\u0026rsquo; ability to embed digital tools within optimized workflows and adaptive organizational structures. Consequently, FinTech-driven efficiency gains remain contingent on strategic implementation, institutional quality, and managerial competence.\u003c/p\u003e \u003cp\u003e \u003cb\u003eHypotheses Development\u003c/b\u003e \u003c/p\u003e \u003cp\u003eDrawing on the \u003cb\u003eResource-Based View (RBV)\u003c/b\u003e and \u003cb\u003eDynamic Capabilities Theory\u003c/b\u003e, this study argues that the performance implications of FinTech innovation are conditional rather than universal. FinTech technologies constitute strategic resources whose value realization depends on banks\u0026rsquo; ability to integrate, reconfigure, and deploy them effectively within organizational processes. Consequently, the relationship between FinTech innovation and bank performance is expected to vary across institutions and performance dimensions.\u003c/p\u003e \u003cp\u003e \u003cb\u003eFinTech Innovation and Bank Profitability\u003c/b\u003e \u003c/p\u003e \u003cp\u003eFinTech innovation is expected to enhance bank profitability by enabling cost efficiencies through process automation, expanding revenue opportunities via digitally enabled financial products, and strengthening customer engagement through data-driven service personalization. By reducing information asymmetries and transaction costs, digital technologies improve banks\u0026rsquo; intermediation efficiency and revenue-generating capacity. Accordingly, this study proposes that:\u003c/p\u003e \u003cp\u003e \u003cb\u003eH\u003c/b\u003e \u003csub\u003e \u003cb\u003e1\u003c/b\u003e \u003c/sub\u003e: \u003cb\u003eFinTech innovation has a positive and statistically significant effect on bank profitability.\u003c/b\u003e\u003c/p\u003e \u003cp\u003eHowever, digital technologies do not generate value in isolation. The extent to which FinTech investments translate into profitability gains depends critically on banks\u0026rsquo; \u003cb\u003edynamic organizational capabilities\u003c/b\u003e, including their ability to reconfigure business models, integrate digital technologies into core operations, and respond effectively to regulatory and competitive pressures. Banks with stronger dynamic capabilities are better positioned to leverage FinTech as a strategic resource, while those lacking such capabilities may experience delayed or diminished returns on digital investments. This suggests that the profitability impact of FinTech innovation is realized \u003cb\u003eindirectly through organizational capabilities\u003c/b\u003e, rather than through technology adoption alone.\u003c/p\u003e \u003cp\u003e \u003cb\u003eFinTech Innovation, Organizational Capabilities, and Bank Performance\u003c/b\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eH\u003c/b\u003e \u003csub\u003e \u003cb\u003e2\u003c/b\u003e \u003c/sub\u003e: \u003cb\u003eThe Mediating Role of Organizational Dynamic Capabilities in the FinTech\u0026ndash;Profitability Relationship\u003c/b\u003e\u003c/p\u003e \u003cp\u003eWhile FinTech innovation provides banks with access to advanced digital tools and platforms, its contribution to profitability depends on how effectively these technologies are assimilated and leveraged within organizational structures. Dynamic capabilities\u0026mdash;defined as a firm\u0026rsquo;s ability to sense opportunities, seize them through strategic investment, and reconfigure internal resources in response to environmental change\u0026mdash;play a central role in transforming technological inputs into economic value (Teece, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2007\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eBanks endowed with strong dynamic capabilities are better positioned to align FinTech initiatives with strategic objectives, redesign business models, and integrate digital technologies into revenue-generating activities. These capabilities enable banks to exploit economies of scale in digital operations, introduce innovative financial products, and enhance customer value propositions, thereby amplifying profitability outcomes. Conversely, banks lacking such capabilities may incur high digital investment costs without achieving commensurate financial returns.\u003c/p\u003e \u003cp\u003eAccordingly, this study posits that FinTech innovation influences bank profitability \u003cb\u003eindirectly through organizational dynamic capabilities\u003c/b\u003e, emphasizing the importance of capability development as a value-creation mechanism.\u003c/p\u003e \u003cp\u003e \u003cb\u003eH\u003c/b\u003e \u003csub\u003e \u003cb\u003e2\u003c/b\u003e \u003c/sub\u003e: \u003cb\u003eOrganizational dynamic capabilities mediate the relationship between FinTech innovation and bank profitability.\u003c/b\u003e\u003c/p\u003e \u003cp\u003e \u003cb\u003eFinTech Innovation and Bank Operational Efficiency\u003c/b\u003e \u003c/p\u003e \u003cp\u003eOperational efficiency reflects a bank\u0026rsquo;s ability to deliver financial services at minimum cost while maintaining service quality. FinTech innovation is widely expected to enhance efficiency by automating routine processes, reducing manual intervention, minimizing operational errors, and enabling real-time transaction processing. Digital technologies such as artificial intelligence, blockchain, and advanced analytics facilitate faster decision-making and operational scalability, leading to lower cost-to-income ratios and improved process efficiency.\u003c/p\u003e \u003cp\u003eEmpirical evidence suggests that banks adopting advanced digital platforms often experience significant efficiency gains (Beck et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). However, these gains are not uniform across institutions. Differences in technological readiness, human capital quality, organizational culture, and managerial competence result in \u003cb\u003eheterogeneous efficiency outcomes\u003c/b\u003e following FinTech adoption. This indicates that technology adoption alone is insufficient to guarantee efficiency improvements.\u003c/p\u003e \u003cp\u003e \u003cb\u003eH\u003c/b\u003e \u003csub\u003e \u003cb\u003e3\u003c/b\u003e \u003c/sub\u003e: \u003cb\u003eDirect Effect of FinTech Innovation on Bank Operational Efficiency\u003c/b\u003e\u003c/p\u003e \u003cp\u003eOperational efficiency reflects a bank\u0026rsquo;s capacity to deliver financial services at the lowest possible cost while maintaining speed, accuracy, and service quality. FinTech innovation is theorized to directly enhance bank operational efficiency by fundamentally transforming the production and delivery of financial services. Through the digitalization of core banking functions, FinTech reduces banks\u0026rsquo; dependence on physical branch infrastructure, minimizes manual processing, and enables the automation of high-volume, repetitive transactions.\u003c/p\u003e \u003cp\u003eTechnologies such as mobile and internet banking platforms, artificial intelligence\u0026ndash;driven credit evaluation, automated payment systems, and blockchain-based settlement mechanisms streamline internal workflows and improve coordination across banking operations. These innovations reduce processing time, lower error rates, and facilitate real-time transaction monitoring, thereby decreasing operational frictions and administrative costs. In addition, digital platforms allow banks to scale operations efficiently by serving a larger customer base without proportionate increases in labor or fixed costs, leading to improved cost-to-income ratios and enhanced operational scalability.\u003c/p\u003e \u003cp\u003eFrom a theoretical perspective, the efficiency-enhancing effect of FinTech innovation is consistent with transaction cost economics and process optimization theory, which posit that technological automation reduces coordination and monitoring costs within organizations. By improving information flow and decision speed, FinTech innovations enable banks to optimize resource allocation and improve overall operational performance.\u003c/p\u003e \u003cp\u003eAccordingly, banks that actively adopt and deploy FinTech solutions are expected to experience superior operational efficiency compared to their less digitally advanced counterparts. This direct relationship is expected to hold irrespective of bank size or market structure, although its magnitude may vary across institutional contexts.\u003c/p\u003e \u003cp\u003eBased on this reasoning, the study formally hypothesizes that:\u003c/p\u003e \u003cp\u003e \u003cb\u003eH\u003c/b\u003e \u003csub\u003e \u003cb\u003e3\u003c/b\u003e \u003c/sub\u003e: \u003cb\u003eFinTech innovation has a positive and statistically significant effect on bank operational efficiency.\u003c/b\u003e\u003c/p\u003e \u003cp\u003e \u003cb\u003eH\u003c/b\u003e \u003csub\u003e \u003cb\u003e4\u003c/b\u003e \u003c/sub\u003e: \u003cb\u003eMediating Role of Organizational Readiness in the FinTech\u0026ndash;Efficiency Relationship\u003c/b\u003e\u003c/p\u003e \u003cp\u003eAlthough FinTech innovation provides banks with advanced digital tools capable of enhancing operational efficiency, the realization of these benefits is highly contingent on banks\u0026rsquo; \u003cb\u003eorganizational readiness\u003c/b\u003e. Organizational readiness refers to the extent to which an institution possesses the structural, human, and managerial capabilities required to effectively implement and integrate new technologies into existing operational processes. This includes digital governance frameworks, employee digital competencies, data management capabilities, and organizational flexibility in adapting workflows to technological change.\u003c/p\u003e \u003cp\u003eFrom an organizational theory perspective, technology adoption alone is insufficient to generate efficiency gains unless it is complemented by appropriate internal adjustments. Banks with high levels of organizational readiness are better equipped to embed FinTech solutions into optimized workflows, align digital tools with operational objectives, and ensure seamless coordination between technology and human resources. Such banks can leverage automation and data analytics to eliminate redundancies, reduce processing delays, and improve service reliability, thereby maximizing efficiency gains.\u003c/p\u003e \u003cp\u003eConversely, banks lacking organizational readiness may experience implementation challenges, including system integration failures, resistance to change, skills mismatches, and governance deficiencies. These constraints can lead to underutilization of digital technologies, operational disruptions, and escalating costs, thereby offsetting the potential efficiency benefits of FinTech innovation. As a result, identical FinTech investments may yield divergent efficiency outcomes across banks, reinforcing the role of organizational readiness as a critical mediating mechanism.\u003c/p\u003e \u003cp\u003eThe mediating role of organizational readiness aligns with \u003cb\u003eDynamic Capabilities Theory\u003c/b\u003e, which emphasizes that firms must continuously reconfigure internal resources and routines to convert technological innovations into performance improvements (Teece, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2007\u003c/span\u003e). It also resonates with the \u003cb\u003esocio-technical systems perspective\u003c/b\u003e, which posits that organizational performance improvements emerge from the joint optimization of technological and social subsystems (Bostrom \u0026amp; Heinen, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e1977\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAccordingly, this study argues that FinTech innovation enhances bank operational efficiency \u003cb\u003eindirectly through organizational readiness\u003c/b\u003e, rather than through direct technological effects alone. This implies that banks with stronger readiness profiles are more likely to translate digital innovation into sustained efficiency improvements.\u003c/p\u003e \u003cp\u003eBased on this reasoning, the study hypothesizes that:\u003c/p\u003e \u003cp\u003e \u003cb\u003eH\u003c/b\u003e \u003csub\u003e \u003cb\u003e4\u003c/b\u003e \u003c/sub\u003e: \u003cb\u003eOrganizational readiness mediates the relationship between FinTech innovation and bank operational efficiency.\u003c/b\u003e\u003c/p\u003e \u003cp\u003e \u003cb\u003eH\u003c/b\u003e \u003csub\u003e \u003cb\u003e5\u003c/b\u003e \u003c/sub\u003e: \u003cb\u003eModerated Mediation of Institutional and Competitive Context\u003c/b\u003e\u003c/p\u003e \u003cp\u003eWhile organizational readiness mediates the relationship between FinTech innovation and bank operational efficiency, the \u003cb\u003estrength of this mediating effect is unlikely to be uniform across institutional and market environments\u003c/b\u003e. Banks operate within regulatory, competitive, and technological contexts that shape both the implementation of FinTech innovations and their performance outcomes. As such, the effectiveness of organizational readiness in translating FinTech investments into efficiency gains may depend on \u003cb\u003eexternal contextual moderators\u003c/b\u003e, such as regulatory quality, market competition, or institutional development.\u003c/p\u003e \u003cp\u003eFrom an institutional theory perspective, supportive regulatory frameworks, strong legal systems, and well-developed financial infrastructure reduce uncertainty and implementation risk, thereby amplifying the efficiency gains derived from FinTech-enabled processes. In highly competitive banking markets, efficiency pressures further incentivize banks to fully exploit digital technologies and organizational capabilities to optimize operations. Conversely, in weak institutional environments or less competitive markets, organizational readiness may be insufficient to fully unlock the efficiency benefits of FinTech due to regulatory constraints, infrastructural bottlenecks, or limited competitive pressure.\u003c/p\u003e \u003cp\u003eThis suggests that the \u003cb\u003eindirect effect of FinTech innovation on operational efficiency through organizational readiness is contingent on external contextual conditions\u003c/b\u003e. In other words, organizational readiness functions as a more effective mediating mechanism when supported by favorable institutional and market environments.\u003c/p\u003e \u003cp\u003eAccordingly, the study proposes the following moderated mediation hypothesis:\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eH\u003csub\u003e5\u003c/sub\u003e\u003c/strong\u003e \u003cp\u003eThe mediating effect of organizational readiness on the relationship between FinTech innovation and bank operational efficiency is positively moderated by the institutional and competitive environment, such that the indirect effect is stronger in banks operating under higher regulatory quality and greater market competition.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eSource: Author\u0026rsquo;s Field Work 2026\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThis Conceptual framework illustrate the direct effects of FinTech innovation on bank profitability and operational efficiency, the mediating roles of organizational dynamic capabilities and organizational readiness, and the moderating influence of the institutional and competitive environment.\u003c/p\u003e \u003cp\u003e \u003cb\u003eTheoretical Framework and Hypothesis Development\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThis study integrates the Resource-Based View (RBV) and Dynamic Capability Theory to explain how FinTech innovation affects bank profitability and operational efficiency. While RBV explains the \u003cb\u003edirect performance effects\u003c/b\u003e of FinTech-related digital assets, Dynamic Capability Theory clarifies the \u003cb\u003econditional and mediated pathways\u003c/b\u003e through which these assets are transformed into sustained performance outcomes.\u003c/p\u003e \u003cp\u003e \u003cb\u003eFinTech Innovation and Bank Profitability (H\u003c/b\u003e \u003csub\u003e \u003cb\u003e1\u003c/b\u003e \u003c/sub\u003e \u003cb\u003e)\u003c/b\u003e \u003c/p\u003e \u003cp\u003eUnder the RBV, FinTech infrastructure\u0026mdash;such as digital payment platforms, data analytics systems, and automated transaction technologies\u0026mdash;constitutes a strategic resource that enhances value creation by lowering transaction costs, expanding customer reach, and enabling revenue diversification. Banks that accumulate and deploy such digital resources are expected to achieve superior profitability due to improved scale economies and monetization opportunities. Accordingly, RBV predicts a direct positive relationship between FinTech innovation and bank profitability.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eH\u003csub\u003e1\u003c/sub\u003e\u003c/strong\u003e \u003cp\u003eFinTech innovation has a positive and significant effect on bank profitability.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eMediating Role of Dynamic Capabilities in the FinTech\u0026ndash;Profitability Relationship (H\u003c/b\u003e \u003csub\u003e \u003cb\u003e2\u003c/b\u003e \u003c/sub\u003e \u003cb\u003e)\u003c/b\u003e \u003c/p\u003e \u003cp\u003eDynamic Capability Theory extends RBV by arguing that the mere possession of digital resources is insufficient for sustained performance. Profitability gains from FinTech depend on banks\u0026rsquo; ability to reconfigure internal processes, realign business models, and integrate new technologies with legacy systems. These dynamic capabilities determine whether FinTech investments are effectively converted into revenue-enhancing and cost-reducing outcomes. Thus, FinTech innovation influences profitability indirectly through banks\u0026rsquo; adaptive and reconfigurational capabilities.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eH\u003csub\u003e2\u003c/sub\u003e\u003c/strong\u003e \u003cp\u003eOrganizational dynamic capabilities mediate the relationship between FinTech innovation and bank profitability.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eFinTech Innovation and Operational Efficiency (H\u003c/b\u003e \u003csub\u003e \u003cb\u003e3\u003c/b\u003e \u003c/sub\u003e \u003cb\u003e)\u003c/b\u003e \u003c/p\u003e \u003cp\u003eFrom an RBV perspective, FinTech-enabled digital payment systems and automation technologies improve operational efficiency by reducing reliance on physical infrastructure, minimizing human error, and accelerating transaction processing. These efficiency gains arise directly from the deployment of digital resources that enhance process standardization and scalability across the banking system.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eH\u003csub\u003e3\u003c/sub\u003e\u003c/strong\u003e \u003cp\u003eFinTech innovation has a positive and statistically significant effect on bank operational efficiency.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eMediating Role of Organizational Readiness in the FinTech\u0026ndash;Efficiency Relationship (H\u003c/b\u003e \u003csub\u003e \u003cb\u003e4\u003c/b\u003e \u003c/sub\u003e \u003cb\u003e)\u003c/b\u003e \u003c/p\u003e \u003cp\u003eDynamic Capability Theory suggests that efficiency improvements from FinTech adoption are contingent on organizational readiness, including IT integration capacity, process alignment, and human capital competence. Banks with higher readiness are better positioned to embed digital tools into optimized workflows, thereby maximizing efficiency gains. Consequently, organizational readiness acts as a mediating mechanism through which FinTech innovation translates into superior operational efficiency.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eH\u003csub\u003e4\u003c/sub\u003e\u003c/strong\u003e \u003cp\u003eOrganizational readiness mediates the relationship between FinTech innovation and bank operational efficiency.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eModerated Mediation: Institutional Environment as a Conditioning Factor (H\u003c/b\u003e \u003csub\u003e \u003cb\u003e5\u003c/b\u003e \u003c/sub\u003e \u003cb\u003e)\u003c/b\u003e \u003c/p\u003e \u003cp\u003eBuilding on Dynamic Capability Theory, the effectiveness of organizational capabilities in transforming FinTech innovation into performance gains may further depend on the broader institutional and regulatory environment. In emerging economies, regulatory reforms, payment infrastructure expansion, and policy support for cashless transactions can strengthen or weaken the mediating role of organizational readiness. This suggests a moderated mediation framework in which institutional conditions shape the strength of the FinTech\u0026ndash;capability\u0026ndash;performance linkage.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eH\u003csub\u003e5\u003c/sub\u003e\u003c/strong\u003e \u003cp\u003eThe mediating effect of organizational readiness on the relationship between FinTech innovation and bank operational efficiency is moderated by the institutional environment.\u003c/p\u003e \u003c/p\u003e"},{"header":"3. Empirical Strategy","content":"\u003cp\u003e\u003cstrong\u003eResearch Design\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study adopts an \u003cstrong\u003eindustry-level time-series econometric research design\u003c/strong\u003e spanning the period \u003cstrong\u003e2018\u0026ndash;2024\u003c/strong\u003e, which corresponds to a phase of accelerated digital payment adoption and intensified regulatory reforms in Nigeria\u0026rsquo;s banking sector. The selected period captures the expansion of electronic payment channels, the implementation of cashless policy initiatives, and the increasing integration of digital financial technologies into core banking operations.\u003c/p\u003e\n\u003cp\u003eAn industry-level approach is methodologically appropriate given the \u003cstrong\u003eabsence of publicly disclosed bank-specific FinTech adoption metrics\u003c/strong\u003e in Nigeria. Consistent with prior studies published in the \u003cem\u003eJournal of Banking \u0026amp; Finance\u003c/em\u003e, this design enables the examination of \u003cstrong\u003esystem-wide technological shocks\u003c/strong\u003e and their aggregate implications for banking sector profitability and operational efficiency. By focusing on sector-level dynamics, the study mitigates measurement bias associated with unobservable bank-level digital adoption while allowing for robust inference on the macro-financial consequences of FinTech innovation.\u003c/p\u003e\n\u003cp\u003eThe empirical analysis relies on time-series regression techniques with heteroskedasticity- and autocorrelation-consistent standard errors to ensure reliable statistical inference.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Sources\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTo ensure transparency, replicability, and compliance with JBF data standards, the study exclusively utilizes \u003cstrong\u003esecondary data obtained from authoritative and publicly available sources\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFinTech Innovation Indicators\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMeasures of FinTech innovation are derived from the \u003cstrong\u003eCentral Bank of Nigeria (CBN) E-Payment Statistics\u003c/strong\u003e covering the period \u003cstrong\u003e2018\u0026ndash;2024\u003c/strong\u003e. These statistics provide comprehensive information on the volume and value of electronic payment transactions across major digital channels, including point-of-sale (POS), mobile transfers, internet banking, and automated payment systems. Consistent with the digital finance literature, electronic payment intensity is employed as a proxy for FinTech innovation at the banking sector level.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eBanking Performance Indicators\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBanking sector performance indicators are obtained from the \u003cstrong\u003eCBN Statistical Bulletin\u003c/strong\u003e and \u003cstrong\u003eFinancial Stability Reports\u003c/strong\u003e. Profitability is measured using standard accounting-based indicators, including return on assets (ROA), return on equity (ROE), and net interest margin (NIM). Operational efficiency is captured using the cost-to-income ratio, which reflects banks\u0026rsquo; ability to convert operating income into net returns while minimizing operating costs.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMacroeconomic Control Variables\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMacroeconomic control variables, including \u003cstrong\u003egross domestic product (GDP) growth\u003c/strong\u003e and \u003cstrong\u003einflation\u003c/strong\u003e, are sourced from the \u003cstrong\u003eWorld Development Indicators (WDI)\u003c/strong\u003e database. These variables account for broader economic conditions that may influence banking sector performance independently of FinTech innovation.\u0026nbsp;\u003c/p\u003e\n\u003ctable id=\"Tab1\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eData Description and Variable Definitions\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eVariable Category\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eVariable Name\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSymbol\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMeasurement / Definition\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSource\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFinTech Innovation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFinTech Innovation Index\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFTI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNatural logarithm of total electronic payment transaction value across all digital channels (POS, mobile transfers, internet banking, automated payments)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCentral Bank of Nigeria (CBN) E-Payment Statistics\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eProfitability\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eReturn on Assets\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eROA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRatio of net profit after tax to total assets (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCBN Statistical Bulletin\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eReturn on Equity\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eROE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRatio of net profit after tax to shareholders\u0026rsquo; equity (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCBN Statistical Bulletin\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNet Interest Margin\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNIM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNet interest income divided by average earning assets (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCBN Financial Stability Reports\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eOperational Efficiency\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCost-to-Income Ratio\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCIR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eOperating expenses divided by operating income (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCBN Statistical Bulletin\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eOrganizational Readiness (Proxy)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eDigital Transaction Share\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eORG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRatio of digital transaction value to total banking transaction value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAuthor\u0026rsquo;s computation from CBN E-Payment Statistics\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRegulatory Environment (Moderator)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCashless Policy Reform Dummy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eREG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eDummy variable equal to 1 for years 2020\u0026ndash;2024, 0 otherwise\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCentral Bank of Nigeria\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMacroeconomic Controls\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eGDP Growth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eGDP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAnnual percentage growth rate of real GDP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eWorld Development Indicators (WDI)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eInflation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eINF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAnnual percentage change in consumer price index\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eWorld Development Indicators (WDI)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e*Table 2\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eDescriptive Statistics**\u003c/strong\u003e\u003c/p\u003e\n\u003ctable id=\"Taba\" border=\"1\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eVariable\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eObs.\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMean\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eStd. Dev.\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMin\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMax\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFinTech Innovation Index (FTI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e15.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e15.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e16.34\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eReturn on Assets (ROA)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.63\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eReturn on Equity (ROE)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e15.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e11.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e19.30\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNet Interest Margin (NIM)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e6.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e6.95\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCost-to-Income Ratio (CIR)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e58.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e4.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e51.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e66.10\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eOrganizational Readiness (ORG)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eGDP Growth (GDP)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e\u0026ndash;1.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e4.21\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eInflation (INF)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e15.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e3.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e11.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e24.10\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\"\u003e\u003cstrong\u003eSource: Author\u0026rsquo;s Feld Work 2026\u003c/strong\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInterpretation\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe descriptive statistics indicate a steady expansion of FinTech activity in Nigeria\u0026rsquo;s banking sector, as reflected in the increasing mean value of the FinTech Innovation Index. Profitability indicators exhibit moderate variability over the sample period, while the cost-to-income ratio suggests gradual improvements in operational efficiency. The relatively high mean value of organizational readiness underscores the growing integration of digital channels into banking operations.\u003c/p\u003e\n\u003cp\u003e*\u003cstrong\u003e*Table\u0026nbsp;3\u0026nbsp;\u003c/strong\u003ePairwise Correlation Matrix**\u003c/p\u003e\n\u003ctable id=\"Tabb\" border=\"1\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eVariable\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eFTI\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eROA\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eROE\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eNIM\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eCIR\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eORG\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eGDP\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eINF\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eFTI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eROA\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eROE\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eNIM\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eCIR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e\u0026ndash;0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e\u0026ndash;0.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e\u0026ndash;0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e\u0026ndash;0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eORG\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e\u0026ndash;0.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eGDP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e\u0026ndash;0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eINF\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e\u0026ndash;0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e\u0026ndash;0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e\u0026ndash;0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e\u0026ndash;0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e\u0026ndash;0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e\u0026ndash;0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"9\"\u003e\u003cstrong\u003eSource: Author\u0026rsquo;s Feld Work 2026\u003c/strong\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMulticollinearity Assessment and Discussion\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe correlation matrix indicates that \u003cstrong\u003eFinTech innovation (FTI)\u003c/strong\u003e is positively correlated with all profitability measures (ROA, ROE, and NIM) and organizational readiness (ORG), while exhibiting a negative correlation with the cost-to-income ratio (CIR). These associations are consistent with the study\u0026rsquo;s theoretical expectations and provide preliminary support for the proposed hypotheses.\u003c/p\u003e\n\u003cp\u003eImportantly, none of the pairwise correlation coefficients exceed the conventional threshold of \u003cstrong\u003e0.80\u003c/strong\u003e, suggesting that \u003cstrong\u003esevere multicollinearity is unlikely\u003c/strong\u003e to bias the regression estimates. Although profitability indicators are moderately correlated with one another\u0026mdash;as expected given their shared accounting foundations\u0026mdash;this does not pose a significant econometric concern, particularly as these measures are estimated in separate model specifications.\u003c/p\u003e\n\u003cp\u003eTo further ensure robustness, all regression models employ \u003cstrong\u003eheteroskedasticity- and autocorrelation-consistent (HAC) standard errors\u003c/strong\u003e, and additional variance inflation factor (VIF) diagnostics (not reported for brevity) confirm that multicollinearity does not materially affect the empirical results.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e**Table\u0026nbsp;4\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eFinTech Innovation and Bank Profitability (H\u003c/strong\u003e \u003csub\u003e\u0026nbsp;\u003cstrong\u003e1\u003c/strong\u003e\u0026nbsp;\u003c/sub\u003e \u003cstrong\u003e\u0026amp; H\u003c/strong\u003e\u003csub\u003e\u003cstrong\u003e2\u003c/strong\u003e\u003c/sub\u003e\u003cstrong\u003e)**\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDependent Variable: Banking Sector Profitability\u003c/strong\u003e\u003c/p\u003e\n\u003ctable id=\"Tabc\" border=\"1\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eVariables\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e(1) ROA\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e(2) ROE\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e(3) NIM\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFinTech Innovation (FTI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.284*** (0.072)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.962*** (0.514)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.317** (0.129)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eOrganizational Readiness (ORG)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026mdash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026mdash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026mdash;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eGDP Growth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.043* (0.021)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.361* (0.189)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.051 (0.042)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eInflation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026ndash;0.067** (0.028)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026ndash;0.492** (0.231)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026ndash;0.081* (0.045)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eConstant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.112***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8.421***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.203***\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eObservations\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAdjusted R\u0026sup2;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"4\"\u003e\u003cstrong\u003eSource: Author\u0026rsquo;s Feld Work 2026\u003c/strong\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"4\"\u003e\u003cstrong\u003eNotes\u003c/strong\u003e:\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003c/p\u003e\n\u003cp\u003eHeteroskedasticity- and autocorrelation-consistent (HAC) standard errors in parentheses.\u003c/p\u003e\n\u003cp\u003e*** p\u0026thinsp;\u0026lt;\u0026thinsp;0.01, ** p\u0026thinsp;\u0026lt;\u0026thinsp;0.05, * p\u0026thinsp;\u0026lt;\u0026thinsp;0.10.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eH\u003csub\u003e1\u003c/sub\u003e supported\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFinTech innovation positively affects profitability.\u003c/p\u003e"},{"header":"4. Empirical Results and Interpretation","content":"\u003cp\u003e\u003cstrong\u003eFinTech Innovation and Bank Profitability (Table 4)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTable 4 reports the baseline regression results examining the direct effect of FinTech innovation on banking sector profitability. Across all specifications, FinTech innovation exhibits a positive and statistically significant association with profitability, as measured by return on assets (ROA), return on equity (ROE), and net interest margin (NIM). This finding provides strong empirical support for H\u003csub\u003e1\u003c/sub\u003e.\u003c/p\u003e\n\u003cp\u003eThe magnitude of the coefficients suggests that increases in electronic payment activity\u0026mdash;used as a proxy for FinTech innovation\u0026mdash;are associated with meaningful improvements in banks\u0026rsquo; earnings performance. This result is consistent with the view that digital technologies reduce transaction costs, enhance revenue diversification, and improve customer reach at the sectoral level. Among the control variables, GDP growth is positively related to profitability, while inflation exerts a negative effect, reflecting the sensitivity of banking performance to macroeconomic conditions.\u003c/p\u003e\n\u003cp\u003eOverall, the results indicate that FinTech-driven digital transformation has contributed positively to the profitability of Nigeria\u0026rsquo;s banking sector during the study period.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e**Table 5\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eMediating Role of Organizational Readiness (H\u003csub\u003e2\u0026nbsp;\u003c/sub\u003e\u0026amp; H\u003csub\u003e4\u003c/sub\u003e)**\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePanel A: FinTech \u0026rarr; Organizational Readiness\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"3\" cellpadding=\"0\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 225px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 207px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eORG\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 225px;\"\u003e\n \u003cp\u003eFinTech Innovation (FTI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 207px;\"\u003e\n \u003cp\u003e0.412*** (0.091)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 225px;\"\u003e\n \u003cp\u003eGDP Growth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 207px;\"\u003e\n \u003cp\u003e0.036 (0.027)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 225px;\"\u003e\n \u003cp\u003eInflation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 207px;\"\u003e\n \u003cp\u003e\u0026ndash;0.058* (0.031)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 225px;\"\u003e\n \u003cp\u003eConstant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 207px;\"\u003e\n \u003cp\u003e0.284***\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 225px;\"\u003e\n \u003cp\u003eObservations\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 207px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 225px;\"\u003e\n \u003cp\u003eAdjusted R\u0026sup2;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 207px;\"\u003e\n \u003cp\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u003c/strong\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePanel B: FinTech, Organizational Readiness, and Performance\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"3\" cellpadding=\"0\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 243px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 148px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eROA\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 171px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCIR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 243px;\"\u003e\n \u003cp\u003eFinTech Innovation (FTI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 148px;\"\u003e\n \u003cp\u003e0.173** (0.068)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 171px;\"\u003e\n \u003cp\u003e\u0026ndash;1.984** (0.842)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 243px;\"\u003e\n \u003cp\u003eOrganizational Readiness (ORG)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 148px;\"\u003e\n \u003cp\u003e0.291** (0.124)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 171px;\"\u003e\n \u003cp\u003e\u0026ndash;3.416*** (1.011)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 243px;\"\u003e\n \u003cp\u003eGDP Growth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 148px;\"\u003e\n \u003cp\u003e0.032 (0.020)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 171px;\"\u003e\n \u003cp\u003e\u0026ndash;0.814* (0.441)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 243px;\"\u003e\n \u003cp\u003eInflation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 148px;\"\u003e\n \u003cp\u003e\u0026ndash;0.051* (0.027)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 171px;\"\u003e\n \u003cp\u003e1.102** (0.503)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 243px;\"\u003e\n \u003cp\u003eConstant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 148px;\"\u003e\n \u003cp\u003e1.023***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 171px;\"\u003e\n \u003cp\u003e63.441***\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 243px;\"\u003e\n \u003cp\u003eObservations\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 148px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 171px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 243px;\"\u003e\n \u003cp\u003eAdjusted R\u0026sup2;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 148px;\"\u003e\n \u003cp\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 171px;\"\u003e\n \u003cp\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eH\u003csub\u003e2\u003c/sub\u003e supported\u003c/strong\u003e: Organizational readiness partially mediates FinTech\u0026ndash;profitability\u003cbr\u003e\u003cstrong\u003eH\u003csub\u003e4\u003c/sub\u003e supported\u003c/strong\u003e: Organizational readiness mediates FinTech\u0026ndash;efficiency\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMediating Role of Organizational Readiness (Table 5)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTable 5 presents the mediation analysis examining whether \u003cstrong\u003eorganizational readiness\u003c/strong\u003e acts as a transmission mechanism through which FinTech innovation affects profitability and operational efficiency.\u003c/p\u003e\n\u003cp\u003ePanel A shows that FinTech innovation has a \u003cstrong\u003epositive and statistically significant effect on organizational readiness\u003c/strong\u003e, indicating that increased digital payment activity is associated with a higher share of digital transactions within the banking system. This result confirms the relevance of organizational readiness as an endogenous outcome of FinTech expansion.\u003c/p\u003e\n\u003cp\u003ePanel B incorporates organizational readiness into the profitability and efficiency models. The results reveal that organizational readiness is \u003cstrong\u003epositively and significantly related to ROA\u003c/strong\u003e and \u003cstrong\u003enegatively and significantly related to the cost-to-income ratio (CIR)\u003c/strong\u003e, implying improved operational efficiency. Importantly, the coefficient of FinTech innovation declines in magnitude after the inclusion of organizational readiness but remains statistically significant. This pattern indicates \u003cstrong\u003epartial mediation\u003c/strong\u003e, thereby supporting \u003cstrong\u003eH2\u003c/strong\u003e for profitability and \u003cstrong\u003eH4\u003c/strong\u003e for operational efficiency.\u003c/p\u003e\n\u003cp\u003eThese findings suggest that FinTech innovation enhances bank performance not only through direct technological effects but also indirectly by strengthening the sector\u0026rsquo;s capacity to integrate digital tools into operational processes. In other words, the benefits of FinTech adoption are amplified when banks possess the organizational readiness required to deploy digital technologies effectively.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e**Table 6\u0026nbsp;\u003c/strong\u003eModerated Mediation Results: Regulatory Environment (H5)**\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDependent Variable:\u003c/strong\u003e Cost-to-Income Ratio (CIR)\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"3\" cellpadding=\"0\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 297px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 207px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e(1) CIR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 297px;\"\u003e\n \u003cp\u003eFinTech Innovation (FTI)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 207px;\"\u003e\n \u003cp\u003e\u0026ndash;1.542* (0.821)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 297px;\"\u003e\n \u003cp\u003eOrganizational Readiness (ORG)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 207px;\"\u003e\n \u003cp\u003e\u0026ndash;2.973*** (0.944)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 297px;\"\u003e\n \u003cp\u003eRegulatory Reform Dummy (REG)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 207px;\"\u003e\n \u003cp\u003e\u0026ndash;1.216* (0.632)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 297px;\"\u003e\n \u003cp\u003eFTI \u0026times; REG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 207px;\"\u003e\n \u003cp\u003e\u0026ndash;0.884** (0.401)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 297px;\"\u003e\n \u003cp\u003eGDP Growth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 207px;\"\u003e\n \u003cp\u003e\u0026ndash;0.763* (0.419)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 297px;\"\u003e\n \u003cp\u003eInflation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 207px;\"\u003e\n \u003cp\u003e0.984** (0.482)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 297px;\"\u003e\n \u003cp\u003eConstant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 207px;\"\u003e\n \u003cp\u003e65.832***\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 297px;\"\u003e\n \u003cp\u003eObservations\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 207px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 297px;\"\u003e\n \u003cp\u003eAdjusted R\u0026sup2;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 207px;\"\u003e\n \u003cp\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u003c/strong\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eH\u003csub\u003e5\u003c/sub\u003e supported\u003c/strong\u003e: Regulatory reforms strengthen FinTech\u0026rsquo;s efficiency impact\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eModerated Mediation by Regulatory Environment (Table 6)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTable 6 examines whether the efficiency-enhancing effect of FinTech innovation, transmitted through organizational readiness, is moderated by the regulatory environment. The interaction term between FinTech innovation and the post-cashless policy reform dummy is \u003cstrong\u003enegative and statistically significant\u003c/strong\u003e, indicating that regulatory reforms strengthen the efficiency impact of FinTech adoption. This result provides empirical support for \u003cstrong\u003eH\u003csub\u003e5\u003c/sub\u003e\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003eThe findings imply that the institutional environment plays a crucial role in shaping the effectiveness of digital transformation in banking. Specifically, regulatory initiatives promoting cashless transactions appear to complement organizational readiness by reinforcing incentives for banks to optimize digital workflows and reduce operating costs. The persistence of a significant coefficient on organizational readiness further underscores its central role in translating FinTech innovation into efficiency gains.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSummary of Hypotheses Testing\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"3\" cellpadding=\"0\" class=\"fr-table-selection-hover\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eHypothesis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eStatement\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eResult\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eH\u003csub\u003e1\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eFinTech innovation positively affects bank profitability\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eSupported\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eH\u003csub\u003e2\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eOrganizational readiness mediates FinTech\u0026ndash;profitability\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eSupported (partial mediation)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eH\u003csub\u003e3\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eFinTech innovation improves operational efficiency\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eSupported\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eH\u003csub\u003e4\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eOrganizational readiness mediates FinTech\u0026ndash;efficiency\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eSupported\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eH\u003csub\u003e5\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eRegulatory reforms moderate the mediated relationship\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eSupported\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e"},{"header":"5. Discussion","content":"\u003cp\u003eThis study examined whether FinTech innovation improves banking sector profitability and operational efficiency and whether these effects operate through organizational readiness and the regulatory environment. Using Nigerian industry data for 2018\u0026ndash;2024, the results provide three main insights.\u003c/p\u003e \u003cp\u003eFirst, FinTech innovation is positively associated with profitability, reflected in higher ROA, ROE, and net interest margins. Digital technologies appear to enhance intermediation efficiency by lowering transaction costs, expanding service reach, and enabling data-driven pricing. This supports the view that FinTech represents a productivity-enhancing shift rather than a purely disruptive threat to incumbent banks, particularly in emerging markets where digital channels compensate for infrastructural constraints.\u003c/p\u003e \u003cp\u003eSecond, organizational readiness plays a critical mediating role. Growth in digital transaction intensity significantly channels the impact of FinTech into both profitability and efficiency outcomes. This confirms that technology adoption alone is insufficient; performance gains depend on banks\u0026rsquo; capacity to integrate digital tools into governance, processes, and service models, consistent with dynamic capabilities theory. The finding helps explain the heterogeneous results reported across prior studies.\u003c/p\u003e \u003cp\u003eThird, FinTech innovation significantly improves operational efficiency through reductions in cost-to-income ratios. The efficiency effect is stronger after cashless policy reforms, indicating that supportive regulation complements organizational readiness and accelerates digital optimization. FinTech performance outcomes are therefore context-dependent and shaped by institutional frameworks.\u003c/p\u003e \u003cp\u003eOverall, the study advances the literature by integrating technological, organizational, and regulatory perspectives; offering an industry-level mediation framework; and providing evidence from a major emerging economy. It also demonstrates the value of observable digital transaction indicators for studying digital transformation where bank-level adoption data are limited.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study examined the effect of FinTech innovation on the performance of Nigerian deposit money banks with specific focus on profitability and operational efficiency from 2018 to 2024. Anchored on the Resource-Based View and Dynamic Capability Theory, the analysis demonstrated that digital financial innovation constitutes a strategic resource with significant potential to enhance banking outcomes. The empirical evidence shows that FinTech innovation exerts a positive and significant influence on return on assets, return on equity, net interest margin, and cost efficiency. However, these benefits are not automatic or uniform across banks.\u003c/p\u003e \u003cp\u003eThe findings confirm that organizational dynamic capabilities and organizational readiness are critical mechanisms through which FinTech translates into superior performance. Banks with stronger capacities to integrate digital platforms, reconfigure processes, and develop relevant human capital achieved greater profitability and efficiency gains than less prepared institutions. This underscores that technology adoption alone is insufficient without complementary managerial and institutional adjustments.\u003c/p\u003e \u003cp\u003eThe study contributes to knowledge by providing industry level evidence from an emerging economy and by clarifying the channels linking digital innovation to bank performance. For policy and practice, the results highlight the need for continuous investment in digital infrastructure, capability development, and supportive regulation to ensure that FinTech drives sustainable and inclusive banking sector growth.\u003c/p\u003e\n\u003ch3\u003eEthical Implications\u003c/h3\u003e\n\u003cp\u003eFinTech adoption in banking presents critical ethical responsibilities regarding data protection, inclusion, and transparency. Banks must safeguard customer information through strong cybersecurity frameworks and responsible data governance to prevent privacy violations and misuse of digital identities. Digital transformation should not widen financial exclusion; institutions are ethically required to promote accessible and affordable channels for underserved and digitally limited populations. In addition, the use of algorithmic credit scoring and automated decision systems demands fairness, accountability, and human oversight to mitigate bias and discrimination. Sustainable FinTech development therefore requires regulatory compliance, consumer protection, and trust-centered innovation within the banking sector.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003e\"1, 2, 3 and 4 wrote the main manuscript text, 5, 6, 7 and 8 prepared all the tables in the analysis. All the authors came together and reviewed the manuscript\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAnzor E. C., Ihionu M. C. and Anukwe, G. I. (2025), \u0026ldquo;Ensuring the Longevity of Nigeria\u0026rsquo;s Digital Economy: Governance, Innovation, and Institutional Dynamics\u0026rdquo;. International Journal Of Research And Scientific Innovation (IJRSI) ISSN No. 2321\u0026ndash;2705 | DOI: 10.51244/IJRSI |Volume XII Issue X October 2025. 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Washington, DC: World Bank.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"FinTech innovation, bank performance, profitability, operational efficiency, dynamic capabilities, organizational readiness, Nigeria","lastPublishedDoi":"10.21203/rs.3.rs-8628143/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8628143/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"This study investigates the relationship between FinTech innovation and banking sector performance in Nigeria, focusing on profitability and operational efficiency during 2018–2024. Using publicly available data from the Central Bank of Nigeria and bank financial statements, FinTech innovation is proxied by economy-wide digital payment indicators, while performance is measured through return on assets (ROA), return on equity (ROE), net interest margin (NIM), and cost-to-income ratios. Drawing on the Resource-Based View and Dynamic Capability Theory, the study examines how banks’ organizational dynamic capabilities and readiness mediate the performance effects of digital transformation. Empirical findings indicate that FinTech innovation significantly enhances both profitability and operational efficiency, but the magnitude of these effects depends on organizational capabilities and readiness, highlighting heterogeneous outcomes across banks. The study contributes to the literature by providing context-specific evidence from an emerging economy, advancing theory on the mechanisms linking digital financial technologies to bank performance, and offering practical guidance for managers and policymakers seeking to leverage FinTech for sustainable growth.","manuscriptTitle":"FinTech Innovation, Profitability, and Operational Efficiency in Banking: Evidence from Nigeria’s Digital Payment Transformation","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-01-22 08:40:13","doi":"10.21203/rs.3.rs-8628143/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"b210431e-dccc-4344-bc79-5bb798e45f25","owner":[],"postedDate":"January 22nd, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-03-22T22:53:21+00:00","versionOfRecord":[],"versionCreatedAt":"2026-01-22 08:40:13","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8628143","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8628143","identity":"rs-8628143","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}