Tech for Net Zero: Digital Solutions for a Sustainable Planet presents a comprehensive collection of peer-reviewed research abstracts showcased at the 19th ISDSI Global Conference 2025, hosted by IMI Kolkata. This edited volume brings together contemporary scholarly work examining how digital technologies, data-driven decision-making, and managerial innovations can accelerate the global transition toward sustainability and net-zero outcomes.
Anchored in the themes of decision sciences, sustainability, and digital transformation, the book captures interdisciplinary perspectives spanning supply chains, finance, marketing, human resources, operations, analytics, and public policy. The contributions reflect both global and Indian contexts, offering nuanced insights into how emerging technologies such as artificial intelligence, blockchain, digital twins, analytics, and Industry 4.0 tools are being leveraged to address climate change, resource efficiency, social inclusion, and responsible governance.
The abstracts included in this volume highlight rigorous empirical studies, conceptual frameworks, systematic reviews, and methodological advancements. Collectively, they demonstrate how business and management research can move beyond efficiency-driven paradigms to create shared value for the economy, society, and the environment.
With contributions from leading institutions in India and abroad, this book serves as a valuable reference for researchers, doctoral scholars, policymakers, practitioners, and advanced students seeking to understand the evolving role of technology-enabled decision sciences in achieving sustainable development goals.
Academicians and researchers in management, sustainability, and decision sciences, Doctoral and postgraduate students, policymakers, and industry professionals working in sustainability, digital transformation, and analytics. Libraries and research institutions.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.