Empirical Analysis of Digital Transformation Sustainability and Future Work Models Shaping Supply Chain Resilience in the Post Pandemic Era

In the wake of digital disruption and socio-economic volatility, organizations are increasingly relying on digital transformation, sustainability and adaptive work models to strengthen supply chain resilience and long-term competitiveness. This empirical study investigates the multidimensional relationship between digital transformation (AI, data analytics, block-chain adoption), sustainability practices (ESG orientation) and the evolving future of work (remote/hybrid models, diversity and inclusion and employee well-being). Using survey data collected from 420 managerial respondents across manufacturing, service and logistics sectors, structural equation modeling (SEM-PLS) was employed to test the hypothesized relationships. Results reveal that digital transformation significantly enhances sustainability orientation and supply chain resilience, mediated by ESG adoption and future work practices. Furthermore, organizations that embrace hybrid work and inclusive leadership exhibit higher adaptability, innovation and resilience against disruptions. The findings underscore that integrating technological, social and environmental priorities fosters both operational agility and long-term sustainability. This study contributes to the emerging discourse on sustainable digital ecosystems and provides actionable insights for corporate strategists, HR leaders and policymakers seeking to future-proof organizational resilience.