Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation
Massachusetts Institute of Technology · Berlin School of Economics and Law · +4 more institutions
Abstract
This research examines the transformative potential of artificial intelligence (AI) in general and Generative AI (GAI) in particular in supply chain and operations management (SCOM).Through the lens of the resource-based view and based on key AI capabilities such as learning, perception, prediction, interaction, adaptation, and reasoning, we explore how AI and GAI can impact 13 distinct SCOM decision-making areas.These areas include but are not limited to demand forecasting, inventory management, supply chain design, and risk management.With its outcomes, this study provides a comprehensive understanding of AI and GAI's functionality and applications in the SCOM context, offering a practical framework for both…
Citation impact
- FWCI
- 161.83
- Percentile
- 100%
- References
- 120
Authors
4- IJIlya JacksonCorresponding
Massachusetts Institute of Technology
- DIDmitry Ivanov
Berlin School of Economics and Law
- ADAlexandre Dolgui
Centre National de la Recherche Scientifique, Laboratoire des Sciences du Numérique de Nantes, IMT Atlantique, Nantes Université
- JNJafar Namdar
Massachusetts Institute of Technology
Topics & keywords
- Supply chain
- Context (archaeology)
- Supply chain management
- Process management
- Computer science
- Transformative learning
- Knowledge management
- Adaptation (eye)