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Resource use optimisation for public sector infrastructure projects: An empirical examination of digital twin adoption

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  • Singh, Rohit Kumar
  • Kaliyan, Mathiyazhagan
  • Cao, Dongmei
  • SAIKOUK, Tarik

Abstract

The study examines the adoption of digital twin technology (DTT) in public sector infrastructure projects in India and its impact on resource optimisation and sustainability outcomes. Grounded in resource dependence theory (RDT), the research develops and empirically tests a model investigating the interplay among DTT adoption, resource optimisation, and sustainability, with organisational support and regulatory environment as moderating factors. Data from 264 respondents across government agencies, municipal bodies, and state-owned enterprises were analysed using structural equation modelling. Results show that DTT adoption significantly enhances resource optimisation, leading to improved sustainability outcomes. Moreover, both organisational support and a favourable regulatory environment amplify these effects, underscoring the importance of enabling conditions for digital innovation. The study advances RDT by showcasing how DTT mediates resource dependencies in the public sector. Findings emphasise the need for supportive organisational and regulatory conditions to fully realize DTT benefits, offering valuable insights for policymakers and practitioners seeking more resource-efficient, sustainable solutions in public infrastructure projects.

Suggested Citation

  • Singh, Rohit Kumar & Kaliyan, Mathiyazhagan & Cao, Dongmei & SAIKOUK, Tarik, 2026. "Resource use optimisation for public sector infrastructure projects: An empirical examination of digital twin adoption," Technological Forecasting and Social Change, Elsevier, vol. 227(C).
    • Handle: RePEc:eee:tefoso:v:227:y:2026:i:c:s0040162526001022
    DOI: 10.1016/j.techfore.2026.124625
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