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

Research output: Contribution to journal › Article › peer-review

340 Scopus citations

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.

Original languageEnglish
Pages (from-to)177-213
Number of pages37
JournalAnnals of Operations Research
Volume308
Issue number1-2
DOIs
StatePublished - Jan 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020, Springer Science+Business Media, LLC, part of Springer Nature.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Artificial intelligence
  • Model of AI utilization
  • Operation management
  • Technology adoption

ASJC Scopus subject areas

  • General Decision Sciences
  • Management Science and Operations Research

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