Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions

Purva Grover (), Arpan Kumar Kar () and Yogesh K. Dwivedi ()
Additional contact information
Purva Grover: Indian Institute of Management Amritsar
Arpan Kumar Kar: Indian Institute of Technology Delhi
Yogesh K. Dwivedi: Swansea University

Annals of Operations Research, 2022, vol. 308, issue 1, No 8, 177-213

Abstract: Abstract In this digital era, data is new oil and artificial intelligence (AI) is new electricity, which is needed in different elements of operations management (OM) such as manufacturing, product development, services and supply chain. This study explores the feasibility of AI utilization within an organization on six factors such as job-fit, complexity, long-term consequences, affect towards use, social factors and facilitating conditions for different elements of OM by mining the collective intelligence of experts on Twitter and through academic literature. The study provides guidelines for managers for AI applications in different components of OM and concludes by presenting the limitations of the study along with future research directions.

Keywords: Artificial intelligence; Technology adoption; Model of AI utilization; Operation management (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

Downloads: (external link)
http://link.springer.com/10.1007/s10479-020-03683-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:308:y:2022:i:1:d:10.1007_s10479-020-03683-9

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-020-03683-9

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().