Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions
By Purva Grover, Arpan Kumar Kar, Yogesh Kumar Dwivedi. Annals of Operations Research, 2020
350 citations recorded by the source corpus.
Subfields: Information Systems, Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/31b8cfb3ff49dc33cd5560d39a91db12ec455312
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Samuel Fosso Wamba
- Maciel Manoel de Queiroz
- Amine Belhadi
- Surabhi Verma
- Uthayasankar Sivarajah
- Sachin S. Kamble
- Yogesh Kumar Dwivedi
In Management Information Systems
- Samuel Fosso Wamba
- Maciel Manoel de Queiroz
- Amine Belhadi
- Surabhi Verma
- Surajit Bag
- Ajay Kumar
- Shivam Gupta
- Uthayasankar Sivarajah
In Strategy and Management
- Amine Belhadi
- Surabhi Verma
- Surajit Bag
- Ajay Kumar
- Shivam Gupta
- Syed Abdul Rehman Khan
- Uthayasankar Sivarajah
- Samuel Fosso Wamba
Citations in the corpus
- An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance (2021, background): “AI is the new electricity in this digital age (Grover, Kar, & Dwivedi, 2020).”
- Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework (2021, methodology): “Grover, Kar, and Dwivedi (2020) report that research combining AI techniques and intelligent decision-making in building SCRes is still in its infancy, with most research adopting case study approaches to investigate specific problems (Grover, Kar, and Dwivedi 2020).”
- Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation (2021, methodology): “Artificial Intelligence (AI) is the ability of a system to acquire learnings by analyzing the external environment’s data and using acquired learnings to adjust or make new plans against the environmental changes (Grover et al. 2020).”