Modelling Vendor Dynamics for Power Sector Resilience and Digital Readiness

Modelling Vendor Dynamics for Power Sector Resilience and Digital Readiness | 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 Modelling Vendor Dynamics for Power Sector Resilience and Digital Readiness Soumya Mukherjee, Mrinal Kanti Das, Milon Saha, Rishi Raj Sharma This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8132867/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 5 You are reading this latest preprint version Abstract The global power sector faces procurement inefficiencies projected at USD 50 billion annually by 2030, partly due to static vendor selection models that ignore temporal dynamics. This study conceptualizes vendor selection as a dynamic system, integrating maturity, agility, innovation, risk mitigation, cost optimization, and efficiency across long project lifecycles. Guided by Systems Theory, Dynamic Capabilities Theory, and the Resource-Based View, a coupled differential equation model is developed, validated through numerical simulation, and supported by three novel lemmas. Findings reveal that upstream vendor constructs—credibility, contracting efficiency, and relationship management—serve as enduring drivers of procurement maturity, agility, and resilience. In contrast, downstream outcomes such as cost optimization, operational efficiency, and digital readiness gradually deteriorate without continuous reinforcement. Technological adoption emerges as the weakest link, requiring deliberate institutionalization beyond vendor maturity. The study advances the literature by introducing a mathematical formalism embedding resource deterioration into procurement dynamics. It offers practical insights for power utilities by framing vendor maturity as a strategic asset and providing decision-support tools for targeted interventions to enhance resilience, agility, and overall performance of energy infrastructure. Vendor Selection Power Sector Dynamic Systems Model Supply Chain Resilience Digital Transformation Temporal Dynamics Full Text Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 21 Jan, 2026 Reviewers invited by journal 21 Jan, 2026 Editor invited by journal 27 Nov, 2025 Editor assigned by journal 17 Nov, 2025 First submitted to journal 16 Nov, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-8132867","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":578130231,"identity":"84760934-410a-4fee-a6c0-76fbdffc012f","order_by":0,"name":"Soumya Mukherjee","email":"","orcid":"","institution":"Swami Vivekananda University","correspondingAuthor":false,"prefix":"","firstName":"Soumya","middleName":"","lastName":"Mukherjee","suffix":""},{"id":578130232,"identity":"84ebfc87-cf9e-49be-969c-e604409f9ca5","order_by":1,"name":"Mrinal Kanti 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