公共部门基础设施项目的资源优化:数字孪生采纳的实证研究

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

Technological Forecasting and Social Change · 2026
被引 0
ABS 3

中文导读

研究基于资源依赖理论,实证检验了印度公共部门基础设施项目中数字孪生技术采纳对资源优化和可持续性的影响,发现组织支持和监管环境能增强这些效果。

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.

公共部门基础设施项目数字孪生资源优化可持续发展