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

  • S.I. : Artificial Intelligence in Operations Management
  • Published:
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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.

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Authors and Affiliations

  1. Information Systems/IT Area, Indian Institute of Management Amritsar, Amritsar, India

    Purva Grover

  2. Information Systems Area, DMS, Indian Institute of Technology Delhi, New Delhi, India

    Arpan Kumar Kar

  3. Emerging Markets Research Centre, School of Management, Swansea University, Wales, UK

    Yogesh K. Dwivedi

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  1. Purva Grover
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Grover, P., Kar, A.K. & Dwivedi, Y.K. Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions. Ann Oper Res 308, 177–213 (2022). https://doi.org/10.1007/s10479-020-03683-9

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