This study examines how organizations advance in their use of Generative AI (GenAI) tools after initial adoption with particular attention to the dynamics of trust, cultural resistance, and feedback mechanisms. Grounded in organizational learning theory and institutional theory, we propose a framework that captures t...
Surajit Bag, Gautam Srivastava, S. Shrivastav et al.· AI & Innovation· 0 citations
Technological, geopolitical and market disruptions are reshaping global supply chain operations and requiring firms to develop capabilities that support coordinated adjustment under uncertainty. This study aims to conceptualize supply chain elasticity (SCE) as a dynamic capability and to develop a multidimensional...
One of the first application-specific analyses of AI in SME production management, revealing nuanced adoption priorities and challenges is offered, providing a structured roadmap for SMEs to assess AI readiness and pursue dynamic, context-aware integration.
Andrea Chiarini, A. Grando, Surajit Bag· Journal of Manufacturing Tec...· 0 citations
The rapid adoption of artificial intelligence (AI) in labor-intensive manufacturing raises concerns about how trust between humans and AI develops under production pressure. This study examines the erosion and consequences of human–AI trust in garment factories, where workers must quickly adapt to AI-driven systems in...
Surajit Bag, Muhammad Sabbir Rahman, S. Alam· IEEE transactions on enginee...· 0 citations
An integrated conceptual framework is developed with the help of key findings and propositions that emerged from the selected studies to address specific research questions, find gaps and propose future research agendas.
Koustav Dakshit, Sachin Modgil, Rohan Mukherjee et al.· The TQM Journal· 0 citations
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