AI-Enabled Accessible Tourism for All: Quality of Asian Homestays

AI-Enabled Accessible Tourism for All: Quality of Asian Homestays | 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 AI-Enabled Accessible Tourism for All: Quality of Asian Homestays Xiuli Chen, Laura Florina Stan, Nisha Li, Sirui Yao, Joohan Ryoo This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9261945/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 research investigates the impact of guest satisfaction in Seoul’s platform-mediated homestay market, using a framework tailored to accessible tourism for all to discuss the quality of Asian homestays. This research tests seven hypotheses using 290 listings from Airbnb, Tujia, and Ctrip, employing ANCOVA and Spearman's rank correlation. Basic hygiene and senior-friendly accessibility features, along with value-for-money and location quality, significantly raise ratings; Airbnb outperforms Chinese rivals; very high review counts slightly depress scores (a scrutiny effect); pet-friendly shows no impact. Platform-visible predictors explain 31.6% of the variance, indicating that verifiable universal design (UD) or accessibility and value cues now rival inventory size in competitive positioning. These results suggest that auditable accessibility fields and clear, GDPR-compliant disclosures can convert compliance into a market advantage for both travelers and regulators for service quality improvement. The study advances hospitality sustainability by integrating stakeholder, RBV, and institutional lenses into an AI-operational roadmap for inclusive, trustworthy homestays in aging megacities. Aging Society Entrepreneurship Institutional Theory Resource-Based View (RBV) Seoul Homestay Figures Figure 1 1. Introduction Accessible Tourism for All is a stakeholder-led, collaborative approach to the improvement of tourist quality. It enables people with mobility, visual, hearing, or cognitive access requirements to participate independently, with equity and dignity, through universally designed tourism products and services (Michopoulou et al., 2015 ; López-del-Pino et al., 2026 ). AI-powered digital transformation, as evidenced by app-based booking, smart-home controls, and data analytics, has become a decisive force in reshaping acessible tourism for all for homestay entrepreneurship and environmental, social, and governance (ESG) disclosure across the hospitality industry (Vlahović et al., 2024 ). Moreover, Asia’s appeal to European travelers currently combines classic sun-and-value motives with significantly improved air connectivity and culture-led demand. 1 Certain tourist hotspots in Asian cities, such as those in South Korea, lack sufficient accommodation and workforce options, underscoring the need for a targeted “hotel” entrepreneurial strategy that creates value through innovation while addressing capacity challenges (Nnubia et al., 2025 ; Kim et al., 2025 ; Brennan & Kessler, 2025 ). AI chatbots can reduce frontline workload by up to 70 percent, big data personalization can enhance guest satisfaction scores by approximately 15 percent, and cloud-based property management systems can increase operational efficiency by around 30 percent, allowing homestay entrepreneurs to grow profitably while sustaining service quality (Anwar et al., 2024 ). However, these technological achievements intensify ethical concerns about data privacy, algorithmic bias, and transparency in the digital transformation as well as accessibility concerns (Gilang Indra et al., 2024; Kunz et al., 2024 ; Scarpi & Pantano, 2024 ). In response, the emerging lens of Corporate Digital Responsibility (CDR) not only encourages firms in hospitality to design privacy-by-default architectures, document the fairness of their recommendation algorithms, and communicate their impacts openly in the era of AI (Kunz & Wirtz, 2024 ; Gursoy et al., 2025 ), but also competitive AI adoption in homestay businesses must now be grounded in verifiable CDR practices that convert digital efficiency into trusted and accountable guest experiences highlighting accessible tourism for all . Moreover, AI-Enabled ESG & Digital Responsibility for homestay entrepreneurship refers to using data, algorithms, and smart-home/OTA systems to measure, manage, and transparently disclose homestay practices across the environmental, social, and governance (ESG) pillars, while complying with Corporate Digital Responsibility (CDR), such as ethical, fair, accessible, privacy-protective, and explainable use of data and digital technologies (Işık et al., 2025 ; Hartley et al., 2024 ; Herden et al., 2021 ). While scholars have begun to probe the ESG–digital nexus, the literature remains hotel-centric, primarily centered on Western chains and overlooking the less-regulated, platform-mediated homestay (peer to peer) sector that now dominates short-term rentals as a typical entrepreneurial business in many Asian cities and beyond (Shin et al., 2025 ; Zheng et al., 2025 ; Rossmannek et al., 2025 ). Research on platform-mediated homestay entrepreneurship remains limited, with a primary focus on the intentions of actors (hosts or platforms) rather than social acessibility, market dynamics or institutional constraints. Reframing the field through platform capitalism and welfare or Universal Design (UD) governance shows how algorithmic reputation systems and the commodification of housing structure outcomes beyond individual motives, while UD-based accessibility norms in European welfare regimes operate as public-value constraints on market behavior (Kraff et al., 2025 ; Lin et al., 2022 ). This gap is particularly acute in Seoul, where studies examining Airbnb’s scale, spatial footprint, and regulatory effects are limited, yet offer few ESG digital analyses (Ki & Lee, 2019 ; Yeon et al., 2022 ). Market tracking from June 2024 to May 2025 reveals a median occupancy of approximately 79%, with an average annual short-term rental (STR) revenue of around KRW 24 million (approximately US $ 17k); as of July 4, 2025, there were about 23,591 active Airbnb listings 2 . Moreover, platform license-disclosure mandates only appeared in late 2024 3 , revealing a historically looser compliance regime for homestays compared to hotels, and highlighting the need for deeper ESG digital scrutiny. Moreover, Hallyu (K-pop/K-drama) continues to translate media engagement into destination intention, positioning Seoul as a high-yield city break for audiences seeking cultural depth beyond price (Kim et al., 2023 ). For South Korea/Seoul specifically, the K-ETA temporary waiver through December 31, 2025, for Swedish and other European passports 4 , the direct CPH–ICN service, and a strong inbound recovery create unusually favorable market conditions and near-term upside for European demand into Seoul, further supported by pro-tourism policy moves announced in 2025. Homestay listings in Seoul on Airbnb, Tujia, and Ctrip already account for more than one-fifth of tourist overnights, and the city is ageing faster than almost any OECD capital: by 2025, one in five South Koreans will be over sixty-five, with the share expected to exceed 40 percent by mid-century (Statistics Korea, 2024 ). Senior travelers value barrier-free design, on-demand medical support, and authentic cultural immersion; however, these needs are rarely integrated into digital-ESG analyses (Nikitina & Vorontsova, 2015 ). Consequently, critical gaps persist because there is limited evidence on how Asian urban homestays translate digital tools into measurable ESG performance, and an insufficient understanding of how CDR principles and age-friendly service design mediate any competitiveness–sustainability trade-off. Therefore, the main question in this research explicitly explores how homestays’ digital innovations and ESG amenities affect guest satisfaction and competitive positioning in an aging market. This study addresses those gaps by developing and testing a framework of “an AI-enabled ESG–CDR–Accessibility (AECA) approach combining Stakeholder Theory with an age-inclusive focus, the Resource-Based View, and Institutional Theory”. Senior-friendly design falls under Stakeholder Theory’s social dimension, while the needs of senior guests are acknowledged as part of the broader “Social” dimension of ESG. By integrating insights from prior literature and real-world platform data, this research makes contributions to (a) integrating three theoretical perspectives into one model, filling a gap in homestay entrepreneurship research, (b) providing new evidence from an Asian megacity, Seoul, to complement mostly Western-focused studies, and (c) offering practical insights for homestay hosts on aligning digital innovation with sustainability. 2. Literature Review and Theoretical Framework 2.1 Literature Review Digital transformation in homestays is not merely automation but also a systemic reset of scope, strategy, operations, and leadership that utilizes data to deliver real-time insights, higher efficiency, and lower carbon footprints (Csiszár & Hernádi, 2024; Elia et al., 2024 ). For entrepreneurs, this means end-to-end reinvention, expanding markets, pricing smarter, automating workflows, and cutting costs and emissions while making faster, better decisions. Within this shift, Corporate Digital Responsibility (CDR), encompassing responsible data use, trustworthy technology, and ecological stewardship, guides the development and governance of digital tools across social, economic, technical, and environmental dimensions (Wynn & Jones, 2023 ). Strong CDR, in turn, underpins robust ESG performance, which supports sustainable development and fosters innovative solutions by broadening resources and mitigating agency problems (Chen et al., 2024 ). Practically, rigorous CDR strengthens trust and compliance, boosts ESG, unlocks platform and investment advantages, lowers risk, and fuels defensible service innovation for homestay businesses. Homestays have surged worldwide as “authentic,” community-based lodgings. In Lao Cai, ethnic minority hosts turn heritage into income, demonstrating the model’s twin economic and cultural benefits (Nguyen, 2024 ). Similar resident-run schemes now anchor many destination plans (Suardana et al., 2024 ). However, most digital sustainability research in tourism focuses on large hotel chains, leaving homestays under-examined (Lunke et al., 2025; Garcia-Lopez et al., 2025; Sarfraz et al., 2023 ). Seoul offers a relevant testbed due to its advanced infrastructure and apps, such as RURALEASE, personalized matching, and enhanced local engagement (Cardoso & Ruiz, 2021 ; Anjali, 2024 ). Global platforms like Airbnb, Tujia, and Ctrip provide micro-entrepreneurs with reach, but fiercer competition now prompts operators to adopt ESG-linked upgrades and tighter cost control (Lopez Cordova, 2020 ; Minoi & Jokela, 2022; Duan, 2024 ). Meanwhile, home-sharing rules continue to evolve, and many sustainability measures remain voluntary, raising an empirical question of whether digital/ESG efforts actually move guest satisfaction. Service quality hinges on fundamental “hygiene” factors, cleanliness, responsiveness, and accessibility, whose absence causes dissatisfaction, while motivators such as cultural richness spark delight (Berybe et al., 2021 ; Diaconescu, 2024 ). However, the very decentralization that sells authenticity also produces uneven quality. Leveraging platform feedback to address hygiene gaps can raise satisfaction and city image (Li, 2023 ). Demand is also segmented. For example, Chinese visitors to Seoul appreciate shopping and cuisine, but often report a lack of cultural depth, underscoring the value of curated cultural immersion alongside convenience (Ma et al., 2022 ). Younger travelers prioritize tech convenience and self-expression over heritage immersion, whereas older tourists value accessibility, which justifies the inclusion of both digital amenities and inclusive design in the framework (Zielińska-Szczepkowska, 2021 ; Roy & Jasrotia, 2024 ). At the policy level, governments continue to oscillate between promoting and regulating home sharing (Barr & Choi, 2017 ). For cash-constrained micro-hosts, the up-front costs of facility upgrades and the ongoing burden of sustainability monitoring can squeeze margins (Silveira et al., 2021 ). Despite extensive descriptive work on these tensions, theory-driven, quantitative tests that integrate stakeholder perspectives, service-quality mechanics, and institutional constraints are scarce, leaving the key drivers of guest satisfaction and competitive performance in homestays underspecified. This study addresses that gap by linking digital transformation and CDR to ESG practices, and by testing how these, together with age-friendly and culturally immersive design, shape satisfaction and competitiveness in Seoul’s homestay market. 2.2 Theoretical Perspectives and Hypothesis Development 2.2.1 Stakeholder theory: digital hygiene and accessibility Meeting core guest needs such as hygiene, safety, and accessibility is a foundational condition for sustainable hospitality (Elkhwesky et al., 2022 ). Contemporary stakeholder theory reinforces making these basics first in line to serve all who affect or are affected by the firms, with recent work urging deeper attention to the moral and strategic consequences of stakeholder interactions and to the practical balancing of competing claims when trade-offs arise (Abdeladim & Yahyaoui, 2024 ; Boeken et al., 2024 ). It was advanced to replace the narrow input-output model with an ethics-infused view of continuous interaction among constituencies (Davila, 2024 ). Digital transformation heightens that difficulty in homestays. AI booking engines and contactless check-ins must satisfy guests, local communities, and regulators simultaneously (Arifin, 2022 ; Singh, 2024). Where digital skills or broadband access are lacking, targeted training prevents the exclusion of community stakeholders (Samad et al., 2024 ). For guests, hygiene factors , such as complimentary toiletries and spotless bathrooms, alleviate dissatisfaction, whereas motivators like cultural immersion create delight (Berybe et al., 2021 ; Diaconescu, 2024 ). Age-friendly design likewise broadens access for older and disabled travellers (Jabbar et al., 2024 ; Car, 2024 ). Hence: H1 (Basic-hygiene effect). Homestays that provide basic hygiene amenities (such as bath products) record higher guest satisfaction scores than those that do not. H2 (Accessibility effect). Homestays flagged “Senior Welcome” record higher guest-satisfaction scores than those that are not age-friendly. In stakeholder-salience terms, guests’ claims on basic expectations, such as safety, cleanliness, and access, carry high legitimacy and urgency; our framework reflects this sequencing by highlighting the effects of basic hygiene and accessibility across different platforms. 2.2.2 Resource-Based View (RBV): value, location, and AI-enabled capabilities RBV explains sustainable advantages via resources that are valuable, rare, inimitable, and non-substitutable (Lubis, 2022 ; Simarmata et al., 2024 ). “Location quality” aligns with this logic, which posits that prime proximity to transit, attractions, and safe neighborhoods is inherently immobile and often co-specialized with local institutions and networks, yielding Ricardian rents that rivals cannot replicate without acquiring the exact location, thus advantages persist (Valentin & O’Neill, 2019 ; Iruthayasamy, 2021 ). “Value for money”, as a single asset but also as an embedded capability bundle that repeatedly turns inputs into superior perceived value at a given price, encompasses cost discipline, service operations know-how, and data-driven quality routines (Zhao et al., 2023 ; Abdullah et al., 2023 ; Naufal et al., 2024 ). These routines are socially complex and causally ambiguous, making them challenging to replicate one-for-one and supporting durable performance differences. AI analytics, smart-home integrations and innovations can become such resources, generating firm-specific efficiencies (Ristyawan, 2020 ; Kemp, 2024 ). Dynamic capabilities enable operators to sense and seize new opportunities, transforming data into a continually renewed competitive advantage (Sun et al., 2024; Vafaei-Zadeh et al., 2024 ). Moreover, digital innovations such as smart-home features are part of the homestay’s resource set, enhancing guest value and convenience (Papagiannidis & Davlembayeva, 2022 ). To guests, however, resource quality is most visibly expressed through perceived value for money and locational convenience—attributes that are hard for rivals to imitate once a property is established and consistently linked to higher ratings (Cuthbertson & Furseth, 2022 ). Therefore: H3 (Value effect). A higher perceived value for money is correlated with higher guest satisfaction scores. H4 (Location effect). Better locational quality correlates with higher guest-satisfaction scores. 2.2.3 Institutional theory: platform governance, public scrutiny, and symbolic features Institutions set the “rules of the game” that channel organizational behavior (Holm, 2022). In the homestay business, coercive (platform and regulatory mandates), normative (professionally endorsed standards), and mimetic (copying successful peers) pressures nudge operators toward ESG and CDR alignment, lowering risk and building legitimacy and trust (Pureza & Lee, 2020; Lobschat et al., 2021; Earl & Hall, 2021). Conforming to external pressures, classic coercive pressures in institutional theory build organizational legitimacy and trust, as they signal that a provider meets collectively endorsed rules and expectations, such as safety, quality norms, disclosure, and accountability (KAYTU, 2025 ). Normative and mimetic pressures matter alongside coercive ones. In hospitality, institutional studies show that such normative and mimetic forces shape technology and service adoption toward isomorphism, not just formal rules compliance (Suchman, 1995 ; Soares et al., 2021 ). Pet-friendly amenities are not universal satisfiers because they can be symbolic for many guests and have segment-specific impacts. Heterogeneous priorities and warns that “pet-friendly” features alone are rarely top drivers of overall satisfaction once core hygiene or service attributes are controlled through cleanliness, host interaction, and accurate info, implying limited marginal gains from add-on pet perks for the average guest (Zhang et al., 2024 ; Ding et al., 2021 ). Platform governance (coercive/normative). Global OTAs such as Airbnb apply stricter hygiene, data-protection, and sustainability requirements than many domestic platforms, nudging hosts toward higher standards (Kilic et al., 2020; Ma et al., 2022 ). Public scrutiny (mimetic). A larger volume of reviews heightens visibility; under such scrutiny, minor service lapses have a disproportionately large impact on ratings (Galleli et al., 2022 ). Symbolic features. Some amenities, for example, pet-friendliness, are often adopted for image rather than functional value and may show no consistent effect on satisfaction (Ma et al., 2022 ; Huang & Huang, 2022). Accordingly: H5 (Platform effect). Listings on Airbnb achieve higher guest-satisfaction scores than those on Tujia or Ctrip. H6 (Scrutiny penalty). A larger volume of public comments is associated with lower guest-satisfaction scores. H7 (Pet neutrality). Pet-welcome status has no significant impact on guest satisfaction scores. The framework of “an AI-enabled ESG–CDR–Accessibility (AECA) approach combining Stakeholder Theory with an age-inclusive focus, the Resource-Based View, and Institutional Theory” explains why digitally enhanced homestays receive higher or lower guest satisfaction scores. It posits that meeting baseline hygiene needs and offering age-friendly design (Stakeholder lens, H1–H2) safeguard inclusivity; that hard-to-imitate value-for-money propositions and prime locations (RBV, H3–H4) create perceived surplus; and that external “rules of the game” such as stringent Airbnb governance, review visibility and image-oriented pet policies (Institutional lens, H5–H7) amplify or dampen these efforts. By combining the three lenses into one testable model, this research moves beyond siloed views, sorts of service quality into hygiene and motivators, reveals both benefits and reputational risks of platform digitalization, links amenities to ESG/CDR, and gives operators a practical checklist of cleanliness, accessibility, pricing, location, compliance, and symbolism to see what drives ratings. Prior studies have noted stakeholder tensions, digitalization, and ESG in homestays (Boeken et al., 2024 ; Silveira et al., 2021 ), but they rarely test these lenses together. These seven hypotheses fill that gap by tying hygiene, resource value, and institutional pressures to guest satisfaction. Table 1 Digital Transformation for Homestay Entrepreneurship Framework Focus Relevance to Homestay Entrepreneurship Stakeholder Theory Illuminates the moral and relational imperatives of serving various groups through accessible and responsible digital solutions. Highlights the importance of addressing diverse stakeholder needs, including the development of responsible digital solutions for both guests and hosts. Resource-Based View (RBV) Position AI-driven and ESG-based capabilities as strategic resources that can yield sustainable competitive advantage, especially if they are unique and hard to imitate. Emphasizes the use of unique and hard-to-imitate resources, such as AI and ESG-based strategies, to gain a competitive advantage. Institutional Theory Clarifies the external forces (laws, market norms, peer imitation) that pressure or incentivize the adoption of CDR and ESG digital practices. Explains how external pressures drive ethical digital transformation and the adoption of sustainable practices. The AECA framework (see Table 1 ) is used to explain digital transformation in homestays. Stakeholder Theory advocates accessible, responsible design; RBV views AI/ESG capabilities as strategic assets; Institutional Theory captures external pressures to adopt CDR/ESG practices. They demonstrate how combining technology with ethics can enhance competitiveness and stakeholder well-being while advancing social and environmental objectives. 3. Methodology This research examines how platforms leverage digital innovations, including user-friendly interfaces, personalized recommendations, and AI-driven features, to enhance their homestay service delivery in Seoul by analyzing mobile app data. It employs both qualitative and quantitative approaches to evaluate the strategic positioning of three major homestay platforms: Airbnb, Tujia, and Ctrip. The reliance on mobile apps emphasizes the platforms’ digital transformation strategies. Mobile apps serve as critical interfaces, enabling platforms to showcase properties, provide real-time availability, and gather feedback seamlessly (Aruna et al., 2024 ). By integrating features such as amenity filters, user reviews, and cost-performance metrics, apps demonstrate how digital tools enhance operational efficiency and user experience (Sahin & Eyupoglu, 2025 ). This method leverages rich data on prominent homestay systems, such as Tujia and Ctrip, which are primarily focused on the Chinese market, and Airbnb, the most prominent platform covering the US market. These systems were chosen because they help international tourists looking for homestays in Seoul find accommodation. Qualitative & Quantitative Approaches The qualitative analysis compares the platforms across four key marketing mix elements—Product, Place, Promotion, and Price in the Seoul homestay industry to address challenges, capitalize on opportunities, and drive sustainable growth in the market (Bui, 2021 ). Table 2 presents a comparative table that covers TuJia, Ctrip, and Airbnb, focusing on how these three brands approach their offerings (Product), distribution channels (Place), marketing efforts (Promotion), and pricing/payment models (Price). Data Collection The quantitative approach collected data from 290 homestay listings in Seoul on December 26, 2024, while searching homestay ads on the platforms of Airbnb, Tujia, and Ctrip, using a smartphone in Guangzhou, China, to capture the statistical perspective of a Chinese outbound tourist. The sample comprised the top 100 search results on Airbnb, the top 100 on Tujia, and all 90 listings on Ctrip. For each listing, we recorded the overall guest rating, amenities, and other visible details. Measures The dependent variable for statistical analysis was guest satisfaction, defined as the average overall star rating (1–5) from guest reviews for a listing. Independent variables included: Bath amenities: 1 if complimentary bath toiletries were listed; 0 otherwise. “Senior-Welcome” label: 1 if marked as senior-friendly (available only on Tujia; otherwise 0). Value for money: Airbnb’s “Value” sub-rating (1–5; available only on Airbnb). Location quality: Average location score (1–5; available on Airbnb and Tujia). Review count: Total number of reviews for the listing. Pet-friendly: 1 if pets are allowed; 0 if not. Platform: Listing source (Airbnb, Tujia, or Ctrip), included as a categorical factor. This app-based focus underscores the vital role of digital tools in enhancing user experience, meeting stakeholder expectations, and addressing market demands in a competitive, technology-driven environment. 4. Research Analysis 4.1 Qualitative Studies of Tujia , Ctrip , and Airbnb Based on the qualitative research, this table benchmarks Tujia, Trip.com/Ctrip, and Airbnb through a public-value lens, where platforms are judged not only on their marketing mix but also on their adherence to the rule of law, Universal Design, and GDPR (See Table 2 ). From a European UD/GDPR lens, Airbnb’s sheer scale (8M+ active listings) makes standardized, verifiable accessibility badges and clear digital-responsibility disclosures non-negotiable; Trip.com/Ctrip’s “Friendly Four” ESG gives it a platform to surface audited, property-level UD labels; Tujia brings strong domestic verification but needs English-visible, auditable UD attributes to meet expectations rooted in the Norway UD 2024 Declaration. On place/regulation, EU rules and Spain’s 2025 mass takedowns of unlicensed listings raise the bar for license integrity, visible registration fields, and fast removals—Airbnb is under the brightest spotlight to localize compliance, Trip.com can propagate supplier compliance fields across markets, and Tujia’s license-display tooling remains unclear. Regarding price/data ethics, GDPR Article 5 (lawfulness, fairness, transparency; purpose limitation; data minimization) implies explainable dynamic pricing and transparent data use. Airbnb and Trip.com should document fee breakdowns and algorithmic drivers in-app for EU users, while Tujia needs to provide more transparent English-language information to meet the same standards. Table 2 Qualitative Analysis of Tujia , Ctrip , and Airbnb Aspect Values emphasized Tujia Trip.com / Ctrip Airbnb Product Prioritize verifiable accessibility (UD) and sustainability info as public-value features (not optional perks). Strong domestic verification; UD is less visible in English—needs clearer, auditable accessibility attributes. Broad OTA inventory; publishes ESG (“Friendly Four”)—good base to surface audited UD labels at lodging level. Huge global inventory; must pair assortment with standardized, verifiable accessibility fields/badges to meet expectations. Place Compatibility with city rules (caps, permits) and transparent license display. China-focused; unclear tooling for displaying licenses. Source: same as above Global coverage can propagate supplier compliance fields across multiple markets . Global reach; must localize to caps (e.g., Copenhagen 70/100 nights) with visible licensing. Promotion Move from lifestyle to compliance-first messaging: license numbers, UD badges, and sustainability with proofs. Trust narrative centers on verification and localized operations; limited evidence of standardized UD/CRPD-aligned labels in outbound, English-language marketing. ESG storytelling exists—elevate verified UD/accessibility signals in listings. Strong brand/UGC; in the EU, emphasize license integrity and verified accessibility over slogans. Price GDPR/CRD lens: clear fee breakdowns; explainable dynamic pricing and data use. Competitive domestic pricing; make pricing logic and data use transparent in English. Bundles help reveal total trip cost; ensure price components and sustainability add-ons are clear. Host price and fees; document what drives price changes to satisfy fairness/transparency norms. Regulation & Responsiveness Fast takedowns of unlicensed listings; accurate license fields; proactive host education. Domestic verification is strong; EU takedown/license evidence is limited to public disclosure. OTA can enforce supplier docs on a scale; publish more transparent audit processes. Under rising EU scrutiny—performance on license accuracy & removals is a live trust signal. (Source: See data supplement) 4.2 Quantitative Analysis of Platform Listings for Seoul Homestay The information in Table 3 distils 290 Seoul listings scraped from the mobile apps of Airbnb, Tujia, and Ctrip, allowing a side-by-side audit of each platform’s digital execution and market fit. Because the data comes from the apps—not desktop sites—every metric (ratings, amenities, cost-performance tags, review counts) is itself a product of the firms’ digital-transformation choices: what they display, how they rank it, and which filters they push to users. Performance & engagement. Airbnb dominates in headline scores (mean guest rating: 4.95; location rating: 4.87) and still attracts 66 reviews per listing—evidence that its UX both signals quality and fuels a self-reinforcing feedback loop. Tujia’s average rating is lower (4.19) yet it wins the highest review volume (71), suggesting an engaged but value-sensitive Chinese user base. Ctrip trails in both rating (4.16) and engagement (51 reviews), and, crucially, omits performance and cost-performance banners altogether, a digital blind spot that weakens competitive signaling. Amenities & inclusiveness. Airbnb listings highlight “basic-hygiene” amenities—87% offer bath products—but are weak on inclusive features: zero senior-friendly tags and only 6% pet-friendly. Tujia flips that pattern—97% senior-friendly—but still neglects pets (14%). Ctrip fares worst, with almost no bath products (0%), scant senior-friendly (11%), and negligible pet access (2%). These gaps reveal where each platform’s recommender logic undervalues specific traveler segments and where hosts could differentiate themselves. Cost-performance transparency. Only Airbnb publishes an explicit cost-performance index (4.93), reinforcing its value narrative. Tujia and Ctrip forfeit that digital proof point, forcing users to infer affordability from raw prices and reviews—an unnecessary friction in a price-elastic market. Platform success in Seoul now hinges less on sheer inventory and more on how convincingly the app surfaces trust cues through ratings and reviews, value cues through cost-performance, and inclusion cues through age- or pet-friendly tags (Zhai et al., 2024 ; Kim et al., 2025 ; Köstepen Özbek & Çelik, 2025 ). Airbnb leads because its interface orchestrates all three; Tujia competes through high engagement and senior inclusivity, but must improve locational signalling and pet options; Ctrip’s minimal amenity metadata and missing value index leave it strategically exposed. For homestay operators, the takeaway is clear: maximize app-visible hygiene basics, layer in inclusive amenities, and push cost-performance data to leverage the algorithms that now govern traveler choice in Seoul’s tech-driven homestay arena. Table 3 Descriptive Analysis of Platform Listings for Seoul Homestay Platform and sample size Average Scores: Max. 5 Average Comments No. Average Location scores Max. 5 Cost-performance Ratio Max. 5 Bath Products: YES Senior Welcome: YES; Pet Welcome: YES; Airbnb (100) 4.95 66 4.87 4.93 87% 0 6% Tujia (100) 4.19 71 4.34 n/a 14% 97% 2% Ctrip (90) 4.16 51 n/a n/a 0 11% 2.2% 4.3 Seven Hypotheses (H1–H7) Test Analysis We analyzed covariance (ANCOVA) to test the effects of these factors on guest satisfaction across platforms. The platform was a fixed factor (three levels), while Bath amenities, Senior Welcome, and Pet-friendly were binary factors, and review count was a covariate. This model enabled a simultaneous evaluation of platform differences and listing feature effects on ratings. In addition, Spearman rank-order correlations were used to examine the continuous predictors. Specifically, value for money was positively correlated with overall rating (Airbnb only); location score was positively correlated with rating (across both Airbnb and Tujia); and review count was negatively correlated with rating (across all listings). Spearman’s rho (ρ) was chosen for these correlations, given the skewed distribution of ratings. ANCOVA result for Bath Products (See Table 4 ) yields F = 79.661, p < 0.001, indicating a statistically significant effect on guest scores. This confirms that listings offering bath products receive higher guest ratings, H1 Strongly supported . ANCOVA result for Senior Welcome yields F = 13.216, p < 0.001 (See Table 4 ); Spearman correlation between Senior Welcome and Guest Score is ρ = 0.437, p < 0.001 (See Table 5 ). Both tests indicate a significant, positive relationship between age-friendliness and guest satisfaction, which means H2 is strongly supported . Table 4 Covariance Analysis of Key Homestay Attributes Item Sum of Squares Degrees of Freedom Mean Square F P R² Adjusted R² Intercept 1759.392 1 1759.392 9566.896 0.000*** 0.325 0.316 Pet Welcome: 1 YES; 2 No 0.004 1 0.004 0.023 0.879 Bath Products: 1YES; 2 No 14.65 1 14.65 79.661 0.000*** Senior Welcome: 1 YES; 2 No 2.43 1 2.43 13.216 0.000*** Comments No. 0.004 1 0.004 0.021 0.885 Error 52.413 285 0.184 Spearman correlation between Cost-Performance Ratio and Guest Score is ρ = 0.507, p < 0.001 (See Table 5 ). There is a strong, positive, and significant correlation; therefore, H3 is strongly supported . Moreover, the Spearman correlation between Location and Guest Score is ρ = 0.448, p < 0.001 (See Table 5 ). A statistically significant positive relationship is present. H4 is strongly supported . Table 5 Spearman Correlation Analysis of Homestay Attributes Note ***, **, and * represent significant levels of 1%, 5%, and 10%, respectively. On one hand, Platform is negatively correlated with Guest Score : ρ = -0.488, p < 0.001 (See Table 5 ), implying Airbnb (used as reference) listings score higher than others. Airbnb delivers higher satisfaction scores than Tujia or Ctrip, validating the hypothesis. H5 is Supported . On the other hand, Comments No. is negatively correlated with Guest Score : ρ = -0.534, p < 0.001 001 (See Table 5 ). Listings with more reviews tend to have lower average scores, likely due to greater scrutiny. Therefore, H6 is Supported . However, Pet Welcome is non-significant in ANCOVA (p > 0.05) and has low, weak correlations with other variables. Pet-friendliness is not associated with satisfaction ratings. A null effect supports H7. As a summary, hypotheses (H1–H6) are directly supported, but H7 is confirmed by the absence of significance, using existing ANCOVA and Spearman analyses, which validates the model’s empirical structure with an Adjusted R² = 0.316 in the ANCOVA model. This research indicates that approximately 31.6% of the variance in guest satisfaction scores is explained by the predictors, which represents a moderately strong explanatory power for a model utilizing only platform-available metadata. 5. Discussion Digital transformation and the ESG/CDR core Digital transformation now sits at the center of the hospitality industry’s sustainability debate. ESG frameworks integrate environmental, social, and governance metrics into corporate assessment and align firm actions with SDG targets, while CDR extends that scrutiny to the ethical use of data and algorithms (Qiu, 2024 ; Chen & Zhang, 2023). In practice, hotels and homestays translate abstract ESG/CDR principles into smart-metered energy systems, waste-reduction apps, and transparent data dashboards—moves that both reduce their footprint and satisfy increasingly exacting regulators and guests (Saputra et al., 2024 ; Sun & Nasrullah, 2024 ). Trade-offs and staged digitization However, digital ESG is not a free win. Every euro channelled into eco-certification or carbon tracking is a euro not spent on dynamic pricing engines or short-term occupancy pushes, creating a constant trade-off between agility and long-term reputation (Zhizhikov et al., 2023 ; Lin, 2024 a; Singh et al., 2024 ). Advanced revenue algorithms can restore some of that agility by forecasting demand even while sustainability upgrades are underway (Zhang et al., 2019 ; Purcarea, 2016 ); however, managers still need to stage investments so that ESG targets do not impair responsiveness. When phased correctly, however, ESG digitisation can unlock new market niches—such as green finance, low-carbon supply chains, and data-driven guest differentiation—that drive future profitability (Ma, 2024; Lin, 2024 b; Jhajhra, 2024 ; Kuvika, 2024). Capital, compliance, and demand signals Investor and regulatory pressure explain why firms persevere. Capital increasingly favours ESG-strong portfolios, while unified disclosure frameworks and blockchain pilots are tackling transparency gaps in carbon accounting (Lagodiyenko, 2024; Xu et al., 2024 ; Sari & Muslim, 2024 ; Chakraborty et al., 2022 ). Ethical digital practice also resonates with socially conscious travellers, amplifying brand value through positive word-of-mouth (As et al., 2024; Srivastava, 2024 ; Sun, 2024 ; Sumariadhi, 2023 ). Ageing markets and inclusive tech Ageing demographics make these issues even more salient. AI-driven accessibility—encompassing voice assistants, real-time translation, and VR previews—reduces travel friction for older guests while generating new revenue streams for operators that design age-friendly accommodations (Bisoi et al., 2020 ; Limna, 2022; The Times, 2024 ). Meeting such needs dovetails with the “S” in ESG and demonstrates the strategic reach of CDR. The strategic implication for Seoul homestay operators is clear: integrate ESG and CDR into digital touchpoints—such as pricing engines, feedback loops, and accessibility features—so that sustainability, inclusivity, and competitive responsiveness reinforce each other rather than undermining one another. Doing so converts compliance costs into market advantage, aligns with fair-labour and community objectives (Bentley, 2024 ) and positions the brand for the next wave of data-savvy, ethically minded travellers. Empirical implications For Stakeholder needs (H1–H2), the observed uplift from basic hygiene and senior-friendly access aligns with public-value norms where Universal Design (UD) is treated as a societal commitment rather than a discretionary amenity; in this policy context, making accessibility verifiable and visible (e.g., step-free entry, grab bars, elevator, lighting/contrast) is expected and rewarded in satisfaction, consistent with Stakeholder Theory and Herzberg’s hygiene factors (Gupta et al., 2025 ). For value and location advantages (H3–H4), research findings that value-for-money and location quality drive higher ratings; however, the edge is more potent when value and location are bundled with UD and sustainability disclosures —reflecting the region’s new Nordic Tourism Plan 2025–2030 5 , shaping an industry suitable for people and the planet having sustainability and accessibility as competitiveness levers. For platform influence & institutional forces (H5–H7), platform differences and scrutiny effects should align with a European rule-of-law backdrop: visible license fields, rapid takedowns of illegal content, and compliance-first design now shape trust and ratings, indicating that institutional pressure can discipline quality signals beyond individual hosts. The slight ratings dip at very high review counts (scrutiny penalty) is consistent with tighter norm enforcement in high-trust settings. The null effect for pet-friendly underscores that salient ESG features (cleanliness, safety, and UD) might matter more than optional perks. Overall, ESG gains compound when UD is verified and CDR/GDPR transparency is explicit because lawfulness, fairness, and transparency are not just legal baselines but market expectations that affect conversion and reputation. Conclusion Seoul homestays compete not only on price/location alone but also on the quality of visible trust and inclusion cues, such as cleanliness signals, senior-ready design, clear value indices embedded in app metadata, and governance backed by verification. This positioning resonates with European city practices that couple tourism with caps/permits and license integrity. Platforms that surface audited UD fields and license status, and explain data use, should see higher satisfaction and conversion from segments on new long-haul links. Theoretical contribution AECA synthesis links Stakeholder Theory (meeting hygiene/UD needs), RBV (value/location as hard-to-imitate assets), and Institutional Theory (platform norms and scrutiny) is to treat UD as a public-value institution and CDR/GDPR as formal constraints: algorithmic reputation and license compliance become field-level mechanisms that shape market outcomes beyond host intentions—consistent with welfare-state logics that institutionalize accessibility and transparency. Limitations and future research Cross-sectional, single-city evidence limits causal claims; multi-city extensions that include destinations with explicit license-cap regimes and UD auditing would strengthen external validity and allow tests of institutional moderation (e.g., whether UD disclosure effects are larger under stricter compliance regimes). Future work should separate eco-effective upgrades from generic “green” amenities and pair ratings with occupancy/revenue/repeat to test performance pathways under GDPR-grade transparency. Practical significance For hosts, the roadmap is to operationalize UD of verifiable features, not labels, and to make cleanliness/value disclosures explicit; for platforms, shift from lifestyle to compliance-first messaging of license numbers, UD badges with proofs, and sustainability backed by audits, and ensure GDPR-conform fee/pricing explanations in the UI; for policymakers, encourage standardized UD and license metadata so market signals align with public value—raising standards without blunt over-regulation. Declarations Funding The authors declare that no funds, grants, or other support were received during the preparation of this manuscript. Author Contribution Xiuli Chen conceived and designed the study, conducted the Literature review, developed the theoretical framework (AECA model), and led the writing of the manuscript.Laura Florina Stan contributed to the literature review on Corporate Digital Responsibility and institutional theory, and contributed to discussions on policy implications and Nordic accessibility frameworks.Nisha Li conducted descriptive analysis, assisted in data interpretation, and contributed to integrating policy and consumer-behavior perspectives.Sirui Yao collected and pre-processed the platform data, performed the statistical analysis, supported the empirical validation, and contributed to the sections on methodology and results visualization.Joohan Ryoo supervised the overall research design, provided theoretical guidance and editorial oversight, refined the hypotheses, and provided critical revisions to enhance conceptual clarity. 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Deep learning based dynamic pricing model for hotel revenue management. In 2019 International Conference on Data Mining Workshops (ICDMW) (pp. 370-375). IEEE. 10.1109/ICDMW.2019.00061 Zhao, J., Liu, H.J., Love, P.E.D., Greenwood, D. and Sing, M.C.P. (2023), “Value for money assessments for public-private partnerships: Characteristics, research directions, and policy implications”, Developments in the Built Environment , doi: 10.1016/j.dibe.2023.100246. Zheng, Y., Gao, Y.L. and Thomas, N., 2025. Enhancing tourism and hospitality organizations’ ESG via transformational leadership and employee pro-environmental behavior: The effect of organizational culture. International Journal of Hospitality Management , 124 , p.103970. https://doi.org/10.1016/j.ijhm.2024.103970 Zhizhikov, A.V., Zelezinskii, A.L., Arkhipova, O.V. (2023). 5. Loyalty programs as a tool for the development of esg practices at hospitality enterprises in a market transformation situation. Экономический вектор. 10.36807/2411-7269-2023-3-34-50-55 Zielińska-Szczepkowska, J., 2021. What are the needs of senior tourists? Evidence from remote regions of Europe. Economies , 9 (4), p.148. https://doi.org/10.3390/economies9040148 Footnotes SAS’s new Copenhagen–Seoul nonstop (launched 12 Sep 2025), which together lower friction from Nordic hubs to East Asia. https://www.sasgroup.net/newsroom/press-releases/2024/sas-opens-first-ever-direct-service-from-scandinavia-to-korea/? Seoul, Airbnb Revenue Data 2025: Average Income & ROI. https://airbtics.com/annual-airbnb-revenue-in-seoul-south-korea/? Airbnb to voluntarily mandate licensing for listings in Korea. https://news.airbnb.com/compliance-en/? Notice on Extension of K-ETA Temporary Exemption. https://overseas.mofa.go.kr/se-en/brd/m_23401/view.do?seq=759758&utm The sustainable tourist destination of the future. https://www.norden.org/en/news/sustainable-tourist-destination-future? 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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-9261945","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":630427388,"identity":"880ed69d-af91-4d05-915c-23dffaa1557c","order_by":0,"name":"Xiuli Chen","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9klEQVRIiWNgGAWjYFAC5gYGBh6bBCQRNkJaGEFa0kjWwnCYBC38MxIbP/PInM/jn91j+LngF4M8fwNb2gd8WiTOHGyW5uG5XSxx54yx9Mw+BsMZB9gOz8CnxYC9sUFyBs/txIYbOQbSvD0MjBsY2JvxOsyAmbH55wyec4nzb+QY/wZqsSeshb2xTeIDz4HEDTdyzKR5fjAkbmBgO4xXC9AvbRYfeJITN95IK7PmbZBInnGYLRmvFv4ZyYdvJPbYJc67kbz5Ns8fG9v+9jZjvFrAgLEHRHIYMDC2SQCTA2ENQPADRLA/YGD4Q5TyUTAKRsEoGGEAANxBSLWp6VrtAAAAAElFTkSuQmCC","orcid":"","institution":"Hanyang University","correspondingAuthor":true,"prefix":"","firstName":"Xiuli","middleName":"","lastName":"Chen","suffix":""},{"id":630427389,"identity":"aa2dfbbf-662a-458c-9f7a-51427c2c86f4","order_by":1,"name":"Laura Florina Stan","email":"","orcid":"","institution":"Hanyang University","correspondingAuthor":false,"prefix":"","firstName":"Laura","middleName":"Florina","lastName":"Stan","suffix":""},{"id":630427390,"identity":"d565d975-b82e-44d3-813b-0476506f194f","order_by":2,"name":"Nisha Li","email":"","orcid":"","institution":"Kyung Hee University","correspondingAuthor":false,"prefix":"","firstName":"Nisha","middleName":"","lastName":"Li","suffix":""},{"id":630427391,"identity":"23a76748-7a12-45f4-a55e-a33e88b26e44","order_by":3,"name":"Sirui Yao","email":"","orcid":"","institution":"Shenzhen International Finance Research Association","correspondingAuthor":false,"prefix":"","firstName":"Sirui","middleName":"","lastName":"Yao","suffix":""},{"id":630427392,"identity":"cf666311-eb54-4163-b3fc-ec966554b41b","order_by":4,"name":"Joohan Ryoo","email":"","orcid":"","institution":"Hanyang University","correspondingAuthor":false,"prefix":"","firstName":"Joohan","middleName":"","lastName":"Ryoo","suffix":""}],"badges":[],"createdAt":"2026-03-30 03:08:43","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9261945/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9261945/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":108406420,"identity":"8d37643f-b13a-4808-8f94-4e079f9f8396","added_by":"auto","created_at":"2026-05-04 09:42:30","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":79072,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eGuest Satisfaction in AI-enabled ESG–CDR–Accessibility (AECA)\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-9261945/v1/13e461691c2c2d53000efc44.png"},{"id":109061563,"identity":"bbefe6ae-c618-40da-adec-14a3084e3892","added_by":"auto","created_at":"2026-05-12 08:30:24","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":724800,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9261945/v1/47828223-09d3-4414-8085-5903fa7f2dd5.pdf"},{"id":108406419,"identity":"1f75c214-9c63-40fb-b50e-4ed49c167e4e","added_by":"auto","created_at":"2026-05-04 09:42:30","extension":"xlsx","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":21753,"visible":true,"origin":"","legend":"","description":"","filename":"data1.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-9261945/v1/c534cf6786782dc673ce96f0.xlsx"},{"id":108406421,"identity":"1b0b2501-0a71-45b3-b935-3541f1cb5413","added_by":"auto","created_at":"2026-05-04 09:42:30","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":15602,"visible":true,"origin":"","legend":"","description":"","filename":"DataSupplement13.30.docx","url":"https://assets-eu.researchsquare.com/files/rs-9261945/v1/a996594db71d5f636ee362fa.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"AI-Enabled Accessible Tourism for All: Quality of Asian Homestays","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eAccessible Tourism for All is a stakeholder-led, collaborative approach to the improvement of tourist quality. It enables people with mobility, visual, hearing, or cognitive access requirements to participate independently, with equity and dignity, through universally designed tourism products and services (Michopoulou et al., \u003cspan citationid=\"CR73\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; L\u0026oacute;pez-del-Pino et al., \u003cspan citationid=\"CR69\" class=\"CitationRef\"\u003e2026\u003c/span\u003e). AI-powered digital transformation, as evidenced by app-based booking, smart-home controls, and data analytics, has become a decisive force in reshaping acessible tourism for all for homestay entrepreneurship and environmental, social, and governance (ESG) disclosure across the hospitality industry (Vlahović et al., \u003cspan citationid=\"CR113\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Moreover, Asia\u0026rsquo;s appeal to European travelers currently combines classic sun-and-value motives with significantly improved air connectivity and culture-led demand.\u003csup\u003e1\u003c/sup\u003e Certain tourist hotspots in Asian cities, such as those in South Korea, lack sufficient accommodation and workforce options, underscoring the need for a targeted \u0026ldquo;hotel\u0026rdquo; entrepreneurial strategy that creates value through innovation while addressing capacity challenges (Nnubia et al., \u003cspan citationid=\"CR78\" class=\"CitationRef\"\u003e2025\u003c/span\u003e; Kim et al., \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e2025\u003c/span\u003e; Brennan \u0026amp; Kessler, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2025\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAI chatbots can reduce frontline workload by up to 70 percent, big data personalization can enhance guest satisfaction scores by approximately 15 percent, and cloud-based property management systems can increase operational efficiency by around 30 percent, allowing homestay entrepreneurs to grow profitably while sustaining service quality (Anwar et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). However, these technological achievements intensify ethical concerns about data privacy, algorithmic bias, and transparency in the digital transformation as well as accessibility concerns (Gilang Indra et al., 2024; Kunz et al., \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Scarpi \u0026amp; Pantano, \u003cspan citationid=\"CR94\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). In response, the emerging lens of Corporate Digital Responsibility (CDR) not only encourages firms in hospitality to design privacy-by-default architectures, document the fairness of their recommendation algorithms, and communicate their impacts openly in the era of AI (Kunz \u0026amp; Wirtz, \u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Gursoy et al., \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2025\u003c/span\u003e), but also competitive AI adoption in homestay businesses must now be grounded in verifiable CDR practices that convert digital efficiency into trusted and accountable guest experiences highlighting accessible tourism for all .\u003c/p\u003e \u003cp\u003eMoreover, AI-Enabled ESG \u0026amp; Digital Responsibility for homestay entrepreneurship refers to using data, algorithms, and smart-home/OTA systems to measure, manage, and transparently disclose homestay practices across the environmental, social, and governance (ESG) pillars, while complying with Corporate Digital Responsibility (CDR), such as ethical, fair, accessible, privacy-protective, and explainable use of data and digital technologies (Işık et al., \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2025\u003c/span\u003e; Hartley et al., \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Herden et al., \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). While scholars have begun to probe the ESG\u0026ndash;digital nexus, the literature remains hotel-centric, primarily centered on Western chains and overlooking the less-regulated, platform-mediated homestay (peer to peer) sector that now dominates short-term rentals as a typical entrepreneurial business in many Asian cities and beyond (Shin et al., \u003cspan citationid=\"CR95\" class=\"CitationRef\"\u003e2025\u003c/span\u003e; Zheng et al., \u003cspan citationid=\"CR121\" class=\"CitationRef\"\u003e2025\u003c/span\u003e; Rossmannek et al., \u003cspan citationid=\"CR87\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). Research on platform-mediated homestay entrepreneurship remains limited, with a primary focus on the intentions of actors (hosts or platforms) rather than social acessibility, market dynamics or institutional constraints. Reframing the field through platform capitalism and welfare or Universal Design (UD) governance shows how algorithmic reputation systems and the commodification of housing structure outcomes beyond individual motives, while UD-based accessibility norms in European welfare regimes operate as public-value constraints on market behavior (Kraff et al., \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e2025\u003c/span\u003e; Lin et al., \u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThis gap is particularly acute in Seoul, where studies examining Airbnb\u0026rsquo;s scale, spatial footprint, and regulatory effects are limited, yet offer few ESG digital analyses (Ki \u0026amp; Lee, \u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Yeon et al., \u003cspan citationid=\"CR116\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Market tracking from June 2024 to May 2025 reveals a median occupancy of approximately 79%, with an average annual short-term rental (STR) revenue of around KRW 24\u0026nbsp;million (approximately US\u003cspan\u003e$\u003c/span\u003e17k); as of July 4, 2025, there were about 23,591 active Airbnb listings\u003csup\u003e2\u003c/sup\u003e. Moreover, platform license-disclosure mandates only appeared in late 2024\u003csup\u003e3\u003c/sup\u003e, revealing a historically looser compliance regime for homestays compared to hotels, and highlighting the need for deeper ESG digital scrutiny. Moreover, Hallyu (K-pop/K-drama) continues to translate media engagement into destination intention, positioning Seoul as a high-yield city break for audiences seeking cultural depth beyond price (Kim et al., \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). For South Korea/Seoul specifically, the K-ETA temporary waiver through December 31, 2025, for Swedish and other European passports\u003csup\u003e4\u003c/sup\u003e, the direct CPH\u0026ndash;ICN service, and a strong inbound recovery create unusually favorable market conditions and near-term upside for European demand into Seoul, further supported by pro-tourism policy moves announced in 2025.\u003c/p\u003e \u003cp\u003eHomestay listings in Seoul on Airbnb, Tujia, and Ctrip already account for more than one-fifth of tourist overnights, and the city is ageing faster than almost any OECD capital: by 2025, one in five South Koreans will be over sixty-five, with the share expected to exceed 40 percent by mid-century (Statistics Korea, \u003cspan citationid=\"CR109\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Senior travelers value barrier-free design, on-demand medical support, and authentic cultural immersion; however, these needs are rarely integrated into digital-ESG analyses (Nikitina \u0026amp; Vorontsova, \u003cspan citationid=\"CR77\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). Consequently, critical gaps persist because there is limited evidence on how Asian urban homestays translate digital tools into measurable ESG performance, and an insufficient understanding of how CDR principles and age-friendly service design mediate any competitiveness\u0026ndash;sustainability trade-off. Therefore, the main question in this research explicitly explores how homestays\u0026rsquo; digital innovations and ESG amenities affect guest satisfaction and competitive positioning in an aging market.\u003c/p\u003e \u003cp\u003eThis study addresses those gaps by developing and testing a framework of \u0026ldquo;an AI-enabled ESG\u0026ndash;CDR\u0026ndash;Accessibility (AECA) approach combining Stakeholder Theory with an age-inclusive focus, the Resource-Based View, and Institutional Theory\u0026rdquo;. Senior-friendly design falls under Stakeholder Theory\u0026rsquo;s social dimension, while the needs of senior guests are acknowledged as part of the broader \u0026ldquo;Social\u0026rdquo; dimension of ESG. By integrating insights from prior literature and real-world platform data, this research makes contributions to (a) integrating three theoretical perspectives into one model, filling a gap in homestay entrepreneurship research, (b) providing new evidence from an Asian megacity, Seoul, to complement mostly Western-focused studies, and (c) offering practical insights for homestay hosts on aligning digital innovation with sustainability.\u003c/p\u003e"},{"header":"2. Literature Review and Theoretical Framework","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1 Literature Review\u003c/h2\u003e \u003cp\u003eDigital transformation in homestays is not merely automation but also a systemic reset of scope, strategy, operations, and leadership that utilizes data to deliver real-time insights, higher efficiency, and lower carbon footprints (Csisz\u0026aacute;r \u0026amp; Hern\u0026aacute;di, 2024; Elia et al., \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). For entrepreneurs, this means end-to-end reinvention, expanding markets, pricing smarter, automating workflows, and cutting costs and emissions while making faster, better decisions. Within this shift, Corporate Digital Responsibility (CDR), encompassing responsible data use, trustworthy technology, and ecological stewardship, guides the development and governance of digital tools across social, economic, technical, and environmental dimensions (Wynn \u0026amp; Jones, \u003cspan citationid=\"CR114\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Strong CDR, in turn, underpins robust ESG performance, which supports sustainable development and fosters innovative solutions by broadening resources and mitigating agency problems (Chen et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Practically, rigorous CDR strengthens trust and compliance, boosts ESG, unlocks platform and investment advantages, lowers risk, and fuels defensible service innovation for homestay businesses.\u003c/p\u003e \u003cp\u003eHomestays have surged worldwide as \u0026ldquo;authentic,\u0026rdquo; community-based lodgings. In Lao Cai, ethnic minority hosts turn heritage into income, demonstrating the model\u0026rsquo;s twin economic and cultural benefits (Nguyen, \u003cspan citationid=\"CR76\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Similar resident-run schemes now anchor many destination plans (Suardana et al., \u003cspan citationid=\"CR103\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). However, most digital sustainability research in tourism focuses on large hotel chains, leaving homestays under-examined (Lunke et al., 2025; Garcia-Lopez et al., 2025; Sarfraz et al., \u003cspan citationid=\"CR92\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Seoul offers a relevant testbed due to its advanced infrastructure and apps, such as RURALEASE, personalized matching, and enhanced local engagement (Cardoso \u0026amp; Ruiz, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Anjali, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Global platforms like Airbnb, Tujia, and Ctrip provide micro-entrepreneurs with reach, but fiercer competition now prompts operators to adopt ESG-linked upgrades and tighter cost control (Lopez Cordova, \u003cspan citationid=\"CR68\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Minoi \u0026amp; Jokela, 2022; Duan, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Meanwhile, home-sharing rules continue to evolve, and many sustainability measures remain voluntary, raising an empirical question of whether digital/ESG efforts actually move guest satisfaction.\u003c/p\u003e \u003cp\u003eService quality hinges on fundamental \u0026ldquo;hygiene\u0026rdquo; factors, cleanliness, responsiveness, and accessibility, whose absence causes dissatisfaction, while motivators such as cultural richness spark delight (Berybe et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Diaconescu, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). However, the very decentralization that sells authenticity also produces uneven quality. Leveraging platform feedback to address hygiene gaps can raise satisfaction and city image (Li, \u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Demand is also segmented. For example, Chinese visitors to Seoul appreciate shopping and cuisine, but often report a lack of cultural depth, underscoring the value of curated cultural immersion alongside convenience (Ma et al., \u003cspan citationid=\"CR71\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Younger travelers prioritize tech convenience and self-expression over heritage immersion, whereas older tourists value accessibility, which justifies the inclusion of both digital amenities and inclusive design in the framework (Zielińska-Szczepkowska, \u003cspan citationid=\"CR123\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Roy \u0026amp; Jasrotia, \u003cspan citationid=\"CR88\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAt the policy level, governments continue to oscillate between promoting and regulating home sharing (Barr \u0026amp; Choi, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). For cash-constrained micro-hosts, the up-front costs of facility upgrades and the ongoing burden of sustainability monitoring can squeeze margins (Silveira et al., \u003cspan citationid=\"CR96\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Despite extensive descriptive work on these tensions, theory-driven, quantitative tests that integrate stakeholder perspectives, service-quality mechanics, and institutional constraints are scarce, leaving the key drivers of guest satisfaction and competitive performance in homestays underspecified. This study addresses that gap by linking digital transformation and CDR to ESG practices, and by testing how these, together with age-friendly and culturally immersive design, shape satisfaction and competitiveness in Seoul\u0026rsquo;s homestay market.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2 Theoretical Perspectives and Hypothesis Development\u003c/h2\u003e \u003cdiv id=\"Sec5\" class=\"Section3\"\u003e \u003ch2\u003e2.2.1 Stakeholder theory: digital hygiene and accessibility\u003c/h2\u003e \u003cp\u003eMeeting core guest needs such as hygiene, safety, and accessibility is a foundational condition for sustainable hospitality (Elkhwesky et al., \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Contemporary stakeholder theory reinforces making these basics first in line to serve all who affect or are affected by the firms, with recent work urging deeper attention to the moral and strategic consequences of stakeholder interactions and to the practical balancing of competing claims when trade-offs arise (Abdeladim \u0026amp; Yahyaoui, \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Boeken et al., \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). It was advanced to replace the narrow input-output model with an ethics-infused view of continuous interaction among constituencies (Davila, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eDigital transformation heightens that difficulty in homestays. AI booking engines and contactless check-ins must satisfy guests, local communities, and regulators simultaneously (Arifin, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Singh, 2024). Where digital skills or broadband access are lacking, targeted training prevents the exclusion of community stakeholders (Samad et al., \u003cspan citationid=\"CR90\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). For guests, \u003cem\u003ehygiene factors\u003c/em\u003e, such as complimentary toiletries and spotless bathrooms, alleviate dissatisfaction, whereas motivators like cultural immersion create delight (Berybe et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Diaconescu, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Age-friendly design likewise broadens access for older and disabled travellers (Jabbar et al., \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Car, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Hence:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003e \u003cem\u003eH1 (Basic-hygiene effect).\u003c/em\u003e Homestays that provide basic hygiene amenities (such as bath products) record higher guest satisfaction scores than those that do not.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003e \u003cem\u003eH2 (Accessibility effect).\u003c/em\u003e Homestays flagged \u0026ldquo;Senior Welcome\u0026rdquo; record higher guest-satisfaction scores than those that are not age-friendly.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003eIn stakeholder-salience terms, guests\u0026rsquo; claims on basic expectations, such as safety, cleanliness, and access, carry high legitimacy and urgency; our framework reflects this sequencing by highlighting the effects of basic hygiene and accessibility across different platforms.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section3\"\u003e \u003ch2\u003e2.2.2 Resource-Based View (RBV): value, location, and AI-enabled capabilities\u003c/h2\u003e \u003cp\u003eRBV explains sustainable advantages via resources that are valuable, rare, inimitable, and non-substitutable (Lubis, \u003cspan citationid=\"CR70\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Simarmata et al., \u003cspan citationid=\"CR97\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). \u0026ldquo;Location quality\u0026rdquo; aligns with this logic, which posits that prime proximity to transit, attractions, and safe neighborhoods is inherently immobile and often co-specialized with local institutions and networks, yielding Ricardian rents that rivals cannot replicate without acquiring the exact location, thus advantages persist (Valentin \u0026amp; O\u0026rsquo;Neill, \u003cspan citationid=\"CR112\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Iruthayasamy, \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). \u0026ldquo;Value for money\u0026rdquo;, as a single asset but also as an embedded capability bundle that repeatedly turns inputs into superior perceived value at a given price, encompasses cost discipline, service operations know-how, and data-driven quality routines (Zhao et al., \u003cspan citationid=\"CR120\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Abdullah et al., \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Naufal et al., \u003cspan citationid=\"CR75\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). These routines are socially complex and causally ambiguous, making them challenging to replicate one-for-one and supporting durable performance differences. AI analytics, smart-home integrations and innovations can become such resources, generating firm-specific efficiencies (Ristyawan, \u003cspan citationid=\"CR86\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Kemp, \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Dynamic capabilities enable operators to sense and seize new opportunities, transforming data into a continually renewed competitive advantage (Sun et al., 2024; Vafaei-Zadeh et al., \u003cspan citationid=\"CR111\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Moreover, digital innovations such as smart-home features are part of the homestay\u0026rsquo;s resource set, enhancing guest value and convenience (Papagiannidis \u0026amp; Davlembayeva, \u003cspan citationid=\"CR81\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). To guests, however, resource quality is most visibly expressed through perceived value for money and locational convenience\u0026mdash;attributes that are hard for rivals to imitate once a property is established and consistently linked to higher ratings (Cuthbertson \u0026amp; Furseth, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Therefore:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003e \u003cem\u003eH3 (Value effect).\u003c/em\u003e A higher perceived value for money is correlated with higher guest satisfaction scores.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003e \u003cem\u003eH4 (Location effect).\u003c/em\u003e Better locational quality correlates with higher guest-satisfaction scores.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section3\"\u003e \u003ch2\u003e2.2.3 Institutional theory: platform governance, public scrutiny, and symbolic features\u003c/h2\u003e \u003cp\u003eInstitutions set the \u0026ldquo;rules of the game\u0026rdquo; that channel organizational behavior (Holm, 2022). In the homestay business, coercive (platform and regulatory mandates), normative (professionally endorsed standards), and mimetic (copying successful peers) pressures nudge operators toward ESG and CDR alignment, lowering risk and building legitimacy and trust (Pureza \u0026amp; Lee, 2020; Lobschat et al., 2021; Earl \u0026amp; Hall, 2021).\u003c/p\u003e \u003cp\u003eConforming to external pressures, classic coercive pressures in institutional theory build organizational legitimacy and trust, as they signal that a provider meets collectively endorsed rules and expectations, such as safety, quality norms, disclosure, and accountability (KAYTU, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). Normative and mimetic pressures matter alongside coercive ones. In hospitality, institutional studies show that such normative and mimetic forces shape technology and service adoption toward isomorphism, not just formal rules compliance (Suchman, \u003cspan citationid=\"CR104\" class=\"CitationRef\"\u003e1995\u003c/span\u003e; Soares et al., \u003cspan citationid=\"CR100\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Pet-friendly amenities are not universal satisfiers because they can be symbolic for many guests and have segment-specific impacts. Heterogeneous priorities and warns that \u0026ldquo;pet-friendly\u0026rdquo; features alone are rarely top drivers of overall satisfaction once core hygiene or service attributes are controlled through cleanliness, host interaction, and accurate info, implying limited marginal gains from add-on pet perks for the average guest (Zhang et al., \u003cspan citationid=\"CR118\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Ding et al., \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2021\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003ePlatform governance (coercive/normative). Global OTAs such as Airbnb apply stricter hygiene, data-protection, and sustainability requirements than many domestic platforms, nudging hosts toward higher standards (Kilic et al., 2020; Ma et al., \u003cspan citationid=\"CR71\" class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ePublic scrutiny (mimetic). A larger volume of reviews heightens visibility; under such scrutiny, minor service lapses have a disproportionately large impact on ratings (Galleli et al., \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eSymbolic features. Some amenities, for example, pet-friendliness, are often adopted for image rather than functional value and may show no consistent effect on satisfaction (Ma et al., \u003cspan citationid=\"CR71\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Huang \u0026amp; Huang, 2022).\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003eAccordingly:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eH5 \u003cem\u003e(Platform effect).\u003c/em\u003e Listings on Airbnb achieve higher guest-satisfaction scores than those on Tujia or Ctrip.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eH6 \u003cem\u003e(Scrutiny penalty).\u003c/em\u003e A larger volume of public comments is associated with lower guest-satisfaction scores.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eH7 \u003cem\u003e(Pet neutrality).\u003c/em\u003e Pet-welcome status has no significant impact on guest satisfaction scores.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe framework of \u0026ldquo;an AI-enabled ESG\u0026ndash;CDR\u0026ndash;Accessibility (AECA) approach combining Stakeholder Theory with an age-inclusive focus, the Resource-Based View, and Institutional Theory\u0026rdquo; explains why digitally enhanced homestays receive higher or lower guest satisfaction scores. It posits that meeting baseline hygiene needs and offering age-friendly design (Stakeholder lens, H1\u0026ndash;H2) safeguard inclusivity; that hard-to-imitate value-for-money propositions and prime locations (RBV, H3\u0026ndash;H4) create perceived surplus; and that external \u0026ldquo;rules of the game\u0026rdquo; such as stringent Airbnb governance, review visibility and image-oriented pet policies (Institutional lens, H5\u0026ndash;H7) amplify or dampen these efforts.\u003c/p\u003e \u003cp\u003eBy combining the three lenses into one testable model, this research moves beyond siloed views, sorts of service quality into hygiene and motivators, reveals both benefits and reputational risks of platform digitalization, links amenities to ESG/CDR, and gives operators a practical checklist of cleanliness, accessibility, pricing, location, compliance, and symbolism to see what drives ratings. Prior studies have noted stakeholder tensions, digitalization, and ESG in homestays (Boeken et al., \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Silveira et al., \u003cspan citationid=\"CR96\" class=\"CitationRef\"\u003e2021\u003c/span\u003e), but they rarely test these lenses together. These seven hypotheses fill that gap by tying hygiene, resource value, and institutional pressures to guest satisfaction.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDigital Transformation for Homestay Entrepreneurship\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFramework\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFocus\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eRelevance to Homestay Entrepreneurship\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eStakeholder Theory\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eIlluminates the moral and relational imperatives of serving various groups through accessible and responsible digital solutions.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHighlights the importance of addressing diverse stakeholder needs, including the development of responsible digital solutions for both guests and hosts.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eResource-Based View (RBV)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePosition AI-driven and ESG-based capabilities as strategic resources that can yield sustainable competitive advantage, especially if they are unique and hard to imitate.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eEmphasizes the use of unique and hard-to-imitate resources, such as AI and ESG-based strategies, to gain a competitive advantage.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eInstitutional Theory\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eClarifies the external forces (laws, market norms, peer imitation) that pressure or incentivize the adoption of CDR and ESG digital practices.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eExplains how external pressures drive ethical digital transformation and the adoption of sustainable practices.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe AECA framework (see Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e) is used to explain digital transformation in homestays. Stakeholder Theory advocates accessible, responsible design; RBV views AI/ESG capabilities as strategic assets; Institutional Theory captures external pressures to adopt CDR/ESG practices. They demonstrate how combining technology with ethics can enhance competitiveness and stakeholder well-being while advancing social and environmental objectives.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"3. Methodology","content":"\u003cp\u003eThis research examines how platforms leverage digital innovations, including user-friendly interfaces, personalized recommendations, and AI-driven features, to enhance their homestay service delivery in Seoul by analyzing mobile app data.\u003c/p\u003e \u003cp\u003eIt employs both qualitative and quantitative approaches to evaluate the strategic positioning of three major homestay platforms: Airbnb, Tujia, and Ctrip. The reliance on \u003cb\u003emobile apps\u003c/b\u003e emphasizes the platforms\u0026rsquo; digital transformation strategies. Mobile apps serve as critical interfaces, enabling platforms to showcase properties, provide real-time availability, and gather feedback seamlessly (Aruna et al., \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). By integrating features such as amenity filters, user reviews, and cost-performance metrics, apps demonstrate how digital tools enhance operational efficiency and user experience (Sahin \u0026amp; Eyupoglu, \u003cspan citationid=\"CR89\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). This method leverages rich data on prominent homestay systems, such as Tujia and Ctrip, which are primarily focused on the Chinese market, and Airbnb, the most prominent platform covering the US market. These systems were chosen because they help international tourists looking for homestays in Seoul find accommodation.\u003c/p\u003e \u003cp\u003eQualitative \u0026amp; Quantitative Approaches\u003c/p\u003e \u003cp\u003eThe qualitative analysis compares the platforms across four key marketing mix elements\u0026mdash;Product, Place, Promotion, and Price in the Seoul homestay industry to address challenges, capitalize on opportunities, and drive sustainable growth in the market (Bui, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e presents a comparative table that covers TuJia, Ctrip, and Airbnb, focusing on how these three brands approach their offerings (Product), distribution channels (Place), marketing efforts (Promotion), and pricing/payment models (Price).\u003c/p\u003e \u003cp\u003e \u003cem\u003eData Collection\u003c/em\u003e \u003c/p\u003e \u003cp\u003eThe quantitative approach collected data from 290 homestay listings in Seoul on December 26, 2024, while searching homestay ads on the platforms of Airbnb, Tujia, and Ctrip, using a smartphone in Guangzhou, China, to capture the statistical perspective of a Chinese outbound tourist. The sample comprised the top 100 search results on Airbnb, the top 100 on Tujia, and all 90 listings on Ctrip. For each listing, we recorded the overall guest rating, amenities, and other visible details.\u003c/p\u003e \u003cp\u003e \u003cem\u003eMeasures\u003c/em\u003e \u003c/p\u003e \u003cp\u003eThe dependent variable for statistical analysis was guest satisfaction, defined as the average overall star rating (1\u0026ndash;5) from guest reviews for a listing. Independent variables included:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eBath amenities: 1 if complimentary bath toiletries were listed; 0 otherwise.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003e\u0026ldquo;Senior-Welcome\u0026rdquo; label: 1 if marked as senior-friendly (available only on Tujia; otherwise 0).\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eValue for money: Airbnb\u0026rsquo;s \u0026ldquo;Value\u0026rdquo; sub-rating (1\u0026ndash;5; available only on Airbnb).\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eLocation quality: Average location score (1\u0026ndash;5; available on Airbnb and Tujia).\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eReview count: Total number of reviews for the listing.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ePet-friendly: 1 if pets are allowed; 0 if not.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ePlatform: Listing source (Airbnb, Tujia, or Ctrip), included as a categorical factor.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003eThis app-based focus underscores the vital role of digital tools in enhancing user experience, meeting stakeholder expectations, and addressing market demands in a competitive, technology-driven environment.\u003c/p\u003e"},{"header":"4. Research Analysis","content":"\u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e\u003cb\u003e4.1 Qualitative Studies of Tujia\u003c/b\u003e, \u003cb\u003eCtrip\u003c/b\u003e, and \u003cb\u003eAirbnb\u003c/b\u003e\u003c/h2\u003e \u003cp\u003eBased on the qualitative research, this table benchmarks Tujia, Trip.com/Ctrip, and Airbnb through a public-value lens, where platforms are judged not only on their marketing mix but also on their adherence to the rule of law, Universal Design, and GDPR (See Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). From a European UD/GDPR lens, Airbnb\u0026rsquo;s sheer scale (8M+ active listings) makes standardized, verifiable accessibility badges and clear digital-responsibility disclosures non-negotiable; Trip.com/Ctrip\u0026rsquo;s \u0026ldquo;Friendly Four\u0026rdquo; ESG gives it a platform to surface audited, property-level UD labels; Tujia brings strong domestic verification but needs English-visible, auditable UD attributes to meet expectations rooted in the Norway UD 2024 Declaration. On place/regulation, EU rules and Spain\u0026rsquo;s 2025 mass takedowns of unlicensed listings raise the bar for license integrity, visible registration fields, and fast removals\u0026mdash;Airbnb is under the brightest spotlight to localize compliance, Trip.com can propagate supplier compliance fields across markets, and Tujia\u0026rsquo;s license-display tooling remains unclear. Regarding price/data ethics, GDPR Article 5 (lawfulness, fairness, transparency; purpose limitation; data minimization) implies explainable dynamic pricing and transparent data use. Airbnb and Trip.com should document fee breakdowns and algorithmic drivers in-app for EU users, while Tujia needs to provide more transparent English-language information to meet the same standards.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cb\u003eQualitative Analysis of Tujia\u003c/b\u003e, \u003cb\u003eCtrip\u003c/b\u003e, and \u003cb\u003eAirbnb\u003c/b\u003e\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAspect\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eValues emphasized\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTujia\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eTrip.com / Ctrip\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eAirbnb\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eProduct\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePrioritize verifiable accessibility (UD) and sustainability info as public-value features (not optional perks).\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eStrong domestic verification; UD is less visible in English\u0026mdash;needs clearer, auditable accessibility attributes.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eBroad OTA inventory; publishes ESG (\u0026ldquo;Friendly Four\u0026rdquo;)\u0026mdash;good base to surface audited UD labels at lodging level.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eHuge global inventory; must pair assortment with standardized, verifiable accessibility fields/badges to meet expectations.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003ePlace\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCompatibility with city rules (caps, permits) and transparent license display.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eChina-focused; unclear tooling for displaying licenses.\u003c/p\u003e \u003cp\u003eSource: same as above\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eGlobal coverage can propagate supplier compliance fields across multiple markets .\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eGlobal reach; must localize to caps (e.g., Copenhagen 70/100 nights) with visible licensing.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003ePromotion\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMove from lifestyle to compliance-first messaging: license numbers, UD badges, and sustainability with proofs.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTrust narrative centers on \u003cb\u003everification\u003c/b\u003e and localized operations; limited evidence of \u003cb\u003estandardized UD/CRPD-aligned labels\u003c/b\u003e in outbound, English-language marketing.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eESG storytelling exists\u0026mdash;elevate verified UD/accessibility signals in listings.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eStrong brand/UGC; in the EU, emphasize license integrity and verified accessibility over slogans.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003ePrice\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGDPR/CRD lens: clear fee breakdowns; explainable dynamic pricing and data use.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCompetitive domestic pricing; make pricing logic and data use transparent in English.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eBundles help reveal total trip cost; ensure price components and sustainability add-ons are clear.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eHost price and fees; document what drives price changes to satisfy fairness/transparency norms.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eRegulation \u0026amp; Responsiveness\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFast takedowns of unlicensed listings; accurate license fields; proactive host education.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eDomestic verification is strong; EU takedown/license evidence is limited to public disclosure.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eOTA can enforce supplier docs on a scale; publish more transparent audit processes.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eUnder rising EU scrutiny\u0026mdash;performance on license accuracy \u0026amp; removals is a live trust signal.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003e(Source: See data supplement)\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003e4.2 \u003cb\u003eQuantitative Analysis of Platform Listings for Seoul Homestay\u003c/b\u003e\u003c/h2\u003e \u003cp\u003eThe information in Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e distils 290 Seoul listings scraped from the mobile apps of Airbnb, Tujia, and Ctrip, allowing a side-by-side audit of each platform\u0026rsquo;s digital execution and market fit. Because the data comes from the apps\u0026mdash;not desktop sites\u0026mdash;every metric (ratings, amenities, cost-performance tags, review counts) is itself a product of the firms\u0026rsquo; digital-transformation choices: what they display, how they rank it, and which filters they push to users.\u003c/p\u003e \u003cp\u003e \u003cem\u003ePerformance \u0026amp; engagement.\u003c/em\u003e Airbnb dominates in headline scores (mean guest rating: 4.95; location rating: 4.87) and still attracts 66 reviews per listing\u0026mdash;evidence that its UX both signals quality and fuels a self-reinforcing feedback loop. Tujia\u0026rsquo;s average rating is lower (4.19) yet it wins the highest review volume (71), suggesting an engaged but value-sensitive Chinese user base. Ctrip trails in both rating (4.16) and engagement (51 reviews), and, crucially, omits performance and cost-performance banners altogether, a digital blind spot that weakens competitive signaling.\u003c/p\u003e \u003cp\u003e \u003cem\u003eAmenities \u0026amp; inclusiveness.\u003c/em\u003e Airbnb listings highlight \u0026ldquo;basic-hygiene\u0026rdquo; amenities\u0026mdash;87% offer bath products\u0026mdash;but are weak on inclusive features: zero senior-friendly tags and only 6% pet-friendly. Tujia flips that pattern\u0026mdash;97% senior-friendly\u0026mdash;but still neglects pets (14%). Ctrip fares worst, with almost no bath products (0%), scant senior-friendly (11%), and negligible pet access (2%). These gaps reveal where each platform\u0026rsquo;s recommender logic undervalues specific traveler segments and where hosts could differentiate themselves.\u003c/p\u003e \u003cp\u003e \u003cem\u003eCost-performance transparency.\u003c/em\u003e Only Airbnb publishes an explicit cost-performance index (4.93), reinforcing its value narrative. Tujia and Ctrip forfeit that digital proof point, forcing users to infer affordability from raw prices and reviews\u0026mdash;an unnecessary friction in a price-elastic market.\u003c/p\u003e \u003cp\u003ePlatform success in Seoul now hinges less on sheer inventory and more on how convincingly the app surfaces \u003cem\u003etrust cues\u003c/em\u003e through ratings and reviews, \u003cem\u003evalue cues\u003c/em\u003e through cost-performance, and inclusion cues through age- or pet-friendly tags (Zhai et al., \u003cspan citationid=\"CR117\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Kim et al., \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e2025\u003c/span\u003e; K\u0026ouml;stepen \u0026Ouml;zbek \u0026amp; \u0026Ccedil;elik, \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). Airbnb leads because its interface orchestrates all three; Tujia competes through high engagement and senior inclusivity, but must improve locational signalling and pet options; Ctrip\u0026rsquo;s minimal amenity metadata and missing value index leave it strategically exposed. For homestay operators, the takeaway is clear: maximize app-visible hygiene basics, layer in inclusive amenities, and push cost-performance data to leverage the algorithms that now govern traveler choice in Seoul\u0026rsquo;s tech-driven homestay arena.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDescriptive Analysis of Platform Listings for Seoul Homestay\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"8\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePlatform and sample size\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAverage\u003c/p\u003e \u003cp\u003eScores: Max. 5\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAverage\u003c/p\u003e \u003cp\u003eComments No.\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eAverage\u003c/p\u003e \u003cp\u003eLocation scores\u003c/p\u003e \u003cp\u003eMax. 5\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eCost-performance Ratio\u003c/p\u003e \u003cp\u003eMax. 5\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eBath Products: YES\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eSenior Welcome: YES;\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003ePet Welcome: YES;\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eAirbnb (100)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e4.95\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e66\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4.87\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e4.93\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e87%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e6%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTujia (100)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e4.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e71\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4.34\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003en/a\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e14%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e97%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e2%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eCtrip\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003e(90)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e4.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e51\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003en/a\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003en/a\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e11%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e2.2%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003e4.3 Seven Hypotheses (H1\u0026ndash;H7) Test Analysis\u003c/h2\u003e \u003cp\u003eWe analyzed covariance (ANCOVA) to test the effects of these factors on guest satisfaction across platforms. The platform was a fixed factor (three levels), while Bath amenities, Senior Welcome, and Pet-friendly were binary factors, and review count was a covariate. This model enabled a simultaneous evaluation of platform differences and listing feature effects on ratings. In addition, Spearman rank-order correlations were used to examine the continuous predictors. Specifically, value for money was positively correlated with overall rating (Airbnb only); location score was positively correlated with rating (across both Airbnb and Tujia); and review count was negatively correlated with rating (across all listings). Spearman\u0026rsquo;s rho (ρ) was chosen for these correlations, given the skewed distribution of ratings.\u003c/p\u003e \u003cp\u003eANCOVA result for \u003cem\u003eBath Products\u003c/em\u003e (See Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e) yields F\u0026thinsp;=\u0026thinsp;79.661, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001, indicating a statistically significant effect on guest scores. This confirms that listings offering bath products receive higher guest ratings, H1 \u003cem\u003eStrongly supported\u003c/em\u003e.\u003c/p\u003e \u003cp\u003eANCOVA result for \u003cem\u003eSenior Welcome\u003c/em\u003e yields F\u0026thinsp;=\u0026thinsp;13.216, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001 (See Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e); Spearman correlation between \u003cem\u003eSenior Welcome\u003c/em\u003e and \u003cem\u003eGuest Score\u003c/em\u003e is ρ\u0026thinsp;=\u0026thinsp;0.437, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001 (See Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). Both tests indicate a significant, positive relationship between age-friendliness and guest satisfaction, which means H2 is strongly \u003cem\u003esupported\u003c/em\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eCovariance Analysis of Key Homestay Attributes\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"8\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eItem\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSum of Squares\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eDegrees of Freedom\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMean Square\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eF\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eP\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eR\u0026sup2;\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eAdjusted R\u0026sup2;\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIntercept\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1759.392\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1759.392\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e9566.896\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.000***\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\" morerows=\"5\" rowspan=\"6\"\u003e \u003cp\u003e0.325\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\" morerows=\"5\" rowspan=\"6\"\u003e \u003cp\u003e0.316\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePet Welcome: 1 YES; 2 No\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.004\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.004\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.879\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBath Products: 1YES; 2 No\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e14.65\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e14.65\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e79.661\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.000***\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSenior Welcome: 1 YES; 2 No\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2.43\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e2.43\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e13.216\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.000***\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eComments No.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.004\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.004\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.021\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.885\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eError\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e52.413\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e285\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.184\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eSpearman correlation between \u003cem\u003eCost-Performance Ratio\u003c/em\u003e and \u003cem\u003eGuest Score\u003c/em\u003e is ρ\u0026thinsp;=\u0026thinsp;0.507, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001 (See Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). There is a strong, positive, and significant correlation; therefore, H3 is strongly \u003cem\u003esupported\u003c/em\u003e. Moreover, the Spearman correlation between Location and Guest Score is ρ\u0026thinsp;=\u0026thinsp;0.448, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001 (See Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). A statistically significant positive relationship is present. H4 is \u003cem\u003estrongly supported\u003c/em\u003e.\u003c/p\u003e \u003cp\u003eTable 5 Spearman Correlation Analysis of Homestay Attributes\u003c/p\u003e \u003cp\u003e\u003cimg 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\" width=\"724\" height=\"250\"\u003e\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eNote\u003c/strong\u003e \u003cp\u003e***, **, and * represent significant levels of 1%, 5%, and 10%, respectively.\u003c/p\u003e \u003c/p\u003e \u003cp\u003eOn one hand, \u003cem\u003ePlatform\u003c/em\u003e is negatively correlated with \u003cem\u003eGuest Score\u003c/em\u003e: ρ = -0.488, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001 (See Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e), implying Airbnb (used as reference) listings score higher than others. Airbnb delivers higher satisfaction scores than Tujia or Ctrip, validating the hypothesis. H5 is \u003cem\u003eSupported\u003c/em\u003e. On the other hand, \u003cem\u003eComments No.\u003c/em\u003e is negatively correlated with \u003cem\u003eGuest Score\u003c/em\u003e: ρ = -0.534, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001 001 (See Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). Listings with more reviews tend to have lower average scores, likely due to greater scrutiny. Therefore, H6 is \u003cem\u003eSupported\u003c/em\u003e. However, \u003cem\u003ePet Welcome\u003c/em\u003e is non-significant in ANCOVA (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05) and has low, weak correlations with other variables. Pet-friendliness is not associated with satisfaction ratings. \u003cem\u003eA null effect supports H7.\u003c/em\u003e\u003c/p\u003e \u003cp\u003eAs a summary, hypotheses (H1\u0026ndash;H6) are directly supported, but H7 is confirmed by the absence of significance, using existing ANCOVA and Spearman analyses, which validates the model\u0026rsquo;s empirical structure with an Adjusted R\u0026sup2; = 0.316 in the ANCOVA model. This research indicates that approximately 31.6% of the variance in guest satisfaction scores is explained by the predictors, which represents a moderately strong explanatory power for a model utilizing only platform-available metadata.\u003c/p\u003e \u003c/div\u003e"},{"header":"5. Discussion","content":"\u003cp\u003e \u003cem\u003eDigital transformation and the ESG/CDR core\u003c/em\u003e \u003c/p\u003e \u003cp\u003eDigital transformation now sits at the center of the hospitality industry\u0026rsquo;s sustainability debate. ESG frameworks integrate environmental, social, and governance metrics into corporate assessment and align firm actions with SDG targets, while CDR extends that scrutiny to the ethical use of data and algorithms (Qiu, \u003cspan citationid=\"CR85\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Chen \u0026amp; Zhang, 2023). In practice, hotels and homestays translate abstract ESG/CDR principles into smart-metered energy systems, waste-reduction apps, and transparent data dashboards\u0026mdash;moves that both reduce their footprint and satisfy increasingly exacting regulators and guests (Saputra et al., \u003cspan citationid=\"CR91\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Sun \u0026amp; Nasrullah, \u003cspan citationid=\"CR106\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cem\u003eTrade-offs and staged digitization\u003c/em\u003e \u003c/p\u003e \u003cp\u003eHowever, digital ESG is not a free win. Every euro channelled into eco-certification or carbon tracking is a euro not spent on dynamic pricing engines or short-term occupancy pushes, creating a constant trade-off between agility and long-term reputation (Zhizhikov et al., \u003cspan citationid=\"CR122\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Lin, \u003cspan citationid=\"CR66\" class=\"CitationRef\"\u003e2024\u003c/span\u003e a; Singh et al., \u003cspan citationid=\"CR99\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Advanced revenue algorithms can restore some of that agility by forecasting demand even while sustainability upgrades are underway (Zhang et al., \u003cspan citationid=\"CR119\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Purcarea, \u003cspan citationid=\"CR84\" class=\"CitationRef\"\u003e2016\u003c/span\u003e); however, managers still need to stage investments so that ESG targets do not impair responsiveness. When phased correctly, however, ESG digitisation can unlock new market niches\u0026mdash;such as green finance, low-carbon supply chains, and data-driven guest differentiation\u0026mdash;that drive future profitability (Ma, 2024; Lin, \u003cspan citationid=\"CR66\" class=\"CitationRef\"\u003e2024\u003c/span\u003eb; Jhajhra, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Kuvika, 2024).\u003c/p\u003e \u003cp\u003e \u003cem\u003eCapital, compliance, and demand signals\u003c/em\u003e \u003c/p\u003e \u003cp\u003eInvestor and regulatory pressure explain why firms persevere. Capital increasingly favours ESG-strong portfolios, while unified disclosure frameworks and blockchain pilots are tackling transparency gaps in carbon accounting (Lagodiyenko, 2024; Xu et al., \u003cspan citationid=\"CR115\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Sari \u0026amp; Muslim, \u003cspan citationid=\"CR93\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Chakraborty et al., \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Ethical digital practice also resonates with socially conscious travellers, amplifying brand value through positive word-of-mouth (As et al., 2024; Srivastava, \u003cspan citationid=\"CR101\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Sun, \u003cspan citationid=\"CR106\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Sumariadhi, \u003cspan citationid=\"CR105\" class=\"CitationRef\"\u003e2023\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cem\u003eAgeing markets and inclusive tech\u003c/em\u003e \u003c/p\u003e \u003cp\u003eAgeing demographics make these issues even more salient. AI-driven accessibility\u0026mdash;encompassing voice assistants, real-time translation, and VR previews\u0026mdash;reduces travel friction for older guests while generating new revenue streams for operators that design age-friendly accommodations (Bisoi et al., \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Limna, 2022; The Times, \u003cspan citationid=\"CR110\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Meeting such needs dovetails with the \u0026ldquo;S\u0026rdquo; in ESG and demonstrates the strategic reach of CDR. The strategic implication for Seoul homestay operators is clear: integrate ESG and CDR into digital touchpoints\u0026mdash;such as pricing engines, feedback loops, and accessibility features\u0026mdash;so that sustainability, inclusivity, and competitive responsiveness reinforce each other rather than undermining one another. Doing so converts compliance costs into market advantage, aligns with fair-labour and community objectives (Bentley, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) and positions the brand for the next wave of data-savvy, ethically minded travellers.\u003c/p\u003e \u003cp\u003e \u003cem\u003eEmpirical implications\u003c/em\u003e \u003c/p\u003e \u003cp\u003eFor Stakeholder needs (H1\u0026ndash;H2), the observed uplift from basic hygiene and senior-friendly access aligns with public-value norms where Universal Design (UD) is treated as a \u003cem\u003esocietal commitment\u003c/em\u003e rather than a discretionary amenity; in this policy context, making accessibility \u003cem\u003everifiable and visible\u003c/em\u003e (e.g., step-free entry, grab bars, elevator, lighting/contrast) is expected and rewarded in satisfaction, consistent with Stakeholder Theory and Herzberg\u0026rsquo;s hygiene factors (Gupta et al., \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). For value and location advantages (H3\u0026ndash;H4), research findings that value-for-money and location quality drive higher ratings; however, the edge is more potent when value and location are \u003cem\u003ebundled with UD and sustainability disclosures\u003c/em\u003e\u0026mdash;reflecting the region\u0026rsquo;s new Nordic Tourism Plan 2025\u0026ndash;2030\u003csup\u003e5\u003c/sup\u003e, shaping an industry suitable for people and the planet having sustainability and accessibility as competitiveness levers. For platform influence \u0026amp; institutional forces (H5\u0026ndash;H7), platform differences and scrutiny effects should align with a European rule-of-law backdrop: visible license fields, rapid takedowns of illegal content, and compliance-first design now shape trust and ratings, indicating that institutional pressure can discipline quality signals beyond individual hosts. The slight ratings dip at very high review counts (scrutiny penalty) is consistent with tighter norm enforcement in high-trust settings. The null effect for pet-friendly underscores that salient ESG features (cleanliness, safety, and UD) might matter more than optional perks. Overall, ESG gains compound when UD is verified and CDR/GDPR transparency is explicit because lawfulness, fairness, and transparency are not just legal baselines but market expectations that affect conversion and reputation.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eSeoul homestays compete not only on price/location alone but also on the quality of visible trust and inclusion cues, such as cleanliness signals, senior-ready design, clear value indices embedded in app metadata, and governance backed by verification. This positioning resonates with European city practices that couple tourism with caps/permits and license integrity. Platforms that surface audited UD fields and license status, and explain data use, should see higher satisfaction and conversion from segments on new long-haul links.\u003c/p\u003e \u003cp\u003e \u003cem\u003eTheoretical contribution\u003c/em\u003e \u003c/p\u003e \u003cp\u003eAECA synthesis links Stakeholder Theory (meeting hygiene/UD needs), RBV (value/location as hard-to-imitate assets), and Institutional Theory (platform norms and scrutiny) is to treat UD as a public-value institution and CDR/GDPR as formal constraints: algorithmic reputation and license compliance become \u003cem\u003efield-level\u003c/em\u003e mechanisms that shape market outcomes beyond host intentions\u0026mdash;consistent with welfare-state logics that institutionalize accessibility and transparency.\u003c/p\u003e \u003cp\u003e \u003cem\u003eLimitations and future research\u003c/em\u003e \u003c/p\u003e \u003cp\u003eCross-sectional, single-city evidence limits causal claims; multi-city extensions that include destinations with explicit license-cap regimes and UD auditing would strengthen external validity and allow tests of institutional moderation (e.g., whether UD disclosure effects are larger under stricter compliance regimes). Future work should separate eco-effective upgrades from generic \u0026ldquo;green\u0026rdquo; amenities and pair ratings with occupancy/revenue/repeat to test performance pathways under GDPR-grade transparency.\u003c/p\u003e \u003cp\u003e \u003cem\u003ePractical significance\u003c/em\u003e \u003c/p\u003e \u003cp\u003eFor hosts, the roadmap is to operationalize UD of verifiable features, not labels, and to make cleanliness/value disclosures explicit; for platforms, shift from lifestyle to compliance-first messaging of license numbers, UD badges with proofs, and sustainability backed by audits, and ensure GDPR-conform fee/pricing explanations in the UI; for policymakers, encourage standardized UD and license metadata so market signals align with public value\u0026mdash;raising standards without blunt over-regulation.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eFunding\u003c/h2\u003e \u003cp\u003eThe authors declare that no funds, grants, or other support were received during the preparation of this manuscript.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eXiuli Chen conceived and designed the study, conducted the Literature review, developed the theoretical framework (AECA model), and led the writing of the manuscript.Laura Florina Stan contributed to the literature review on Corporate Digital Responsibility and institutional theory, and contributed to discussions on policy implications and Nordic accessibility frameworks.Nisha Li conducted descriptive analysis, assisted in data interpretation, and contributed to integrating policy and consumer-behavior perspectives.Sirui Yao collected and pre-processed the platform data, performed the statistical analysis, supported the empirical validation, and contributed to the sections on methodology and results visualization.Joohan Ryoo supervised the overall research design, provided theoretical guidance and editorial oversight, refined the hypotheses, and provided critical revisions to enhance conceptual clarity.\u003c/p\u003e\u003ch2\u003eAcknowledgement\u003c/h2\u003e\u003cp\u003eWe thank the editors and reviewers for their thoughtful comments, which substantially improved this manuscript.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eData is provided within the manuscript or supplementary information files.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAbdeladim, N.., Yahyaoui, T. 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Loyalty programs as a tool for the development of esg practices at hospitality enterprises in a market transformation situation. Экономический вектор. 10.36807/2411-7269-2023-3-34-50-55\u003c/li\u003e\n\u003cli\u003eZielińska-Szczepkowska, J., 2021. What are the needs of senior tourists? Evidence from remote regions of Europe. \u003cem\u003eEconomies\u003c/em\u003e, \u003cem\u003e9\u003c/em\u003e(4), p.148. \u003cstrong\u003ehttps://doi.org/10.3390/economies9040148\u003c/strong\u003e\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Footnotes","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003e SAS\u0026rsquo;s new Copenhagen\u0026ndash;Seoul nonstop (launched 12 Sep 2025), which together lower friction from Nordic hubs to East Asia. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.sasgroup.net/newsroom/press-releases/2024/sas-opens-first-ever-direct-service-from-scandinavia-to-korea/?\u003c/span\u003e\u003cspan address=\"https://www.sasgroup.net/newsroom/press-releases/2024/sas-opens-first-ever-direct-service-from-scandinavia-to-korea/?\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003e Seoul, Airbnb Revenue Data 2025: Average Income \u0026amp; ROI. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://airbtics.com/annual-airbnb-revenue-in-seoul-south-korea/?\u003c/span\u003e\u003cspan address=\"https://airbtics.com/annual-airbnb-revenue-in-seoul-south-korea/?\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003e Airbnb to voluntarily mandate licensing for listings in Korea. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://news.airbnb.com/compliance-en/?\u003c/span\u003e\u003cspan address=\"https://news.airbnb.com/compliance-en/?\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003e Notice on Extension of K-ETA Temporary Exemption.\u003c/span\u003e\u003cdiv id=\"Par10\" class=\"Para\"\u003e\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://overseas.mofa.go.kr/se-en/brd/m_23401/view.do?seq=759758\u0026amp;utm\u003c/span\u003e\u003cspan address=\"https://overseas.mofa.go.kr/se-en/brd/m_23401/view.do?seq=759758\u0026amp;utm\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003e The sustainable tourist destination of the future. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.norden.org/en/news/sustainable-tourist-destination-future?\u003c/span\u003e\u003cspan address=\"https://www.norden.org/en/news/sustainable-tourist-destination-future?\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\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":"Aging Society, Entrepreneurship, Institutional Theory, Resource-Based View (RBV), Seoul Homestay","lastPublishedDoi":"10.21203/rs.3.rs-9261945/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9261945/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis research investigates the impact of guest satisfaction in Seoul\u0026rsquo;s platform-mediated homestay market, using a framework tailored to accessible tourism for all to discuss the quality of Asian homestays. This research tests seven hypotheses using 290 listings from Airbnb, Tujia, and Ctrip, employing ANCOVA and Spearman's rank correlation. Basic hygiene and senior-friendly accessibility features, along with value-for-money and location quality, significantly raise ratings; Airbnb outperforms Chinese rivals; very high review counts slightly depress scores (a scrutiny effect); pet-friendly shows no impact. Platform-visible predictors explain 31.6% of the variance, indicating that verifiable universal design (UD) or accessibility and value cues now rival inventory size in competitive positioning. These results suggest that auditable accessibility fields and clear, GDPR-compliant disclosures can convert compliance into a market advantage for both travelers and regulators for service quality improvement. The study advances hospitality sustainability by integrating stakeholder, RBV, and institutional lenses into an AI-operational roadmap for inclusive, trustworthy homestays in aging megacities.\u003c/p\u003e","manuscriptTitle":"AI-Enabled Accessible Tourism for All: Quality of Asian Homestays","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-05-04 09:42:14","doi":"10.21203/rs.3.rs-9261945/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":"09359686-0373-4cac-99e8-d0b9a0063109","owner":[],"postedDate":"May 4th, 2026","published":true,"recentEditorialEvents":[{"type":"decision","content":"Rejected","date":"2026-05-12T08:15:09+00:00","index":"","fulltext":""},{"type":"reviewerAgreed","content":"121819451982847715710999614965436263092","date":"2026-05-11T07:28:38+00:00","index":37,"fulltext":""},{"type":"reviewerAgreed","content":"175646204607907520385667587500421009813","date":"2026-05-11T00:41:35+00:00","index":36,"fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-05-10T16:52:39+00:00","index":34,"fulltext":""},{"type":"reviewerAgreed","content":"9345245627951674532275591635743970412","date":"2026-05-07T14:11:17+00:00","index":33,"fulltext":""},{"type":"reviewerAgreed","content":"232672562928618528763921761104836212081","date":"2026-05-05T15:31:18+00:00","index":32,"fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-05-05T13:06:19+00:00","index":23,"fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-05-04T07:26:11+00:00","index":22,"fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-05-12T08:29:42+00:00","versionOfRecord":[],"versionCreatedAt":"2026-05-04 09:42:14","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9261945","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9261945","identity":"rs-9261945","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}