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Facilitators and Barriers of Artificial Intelligence Adoption in Business – Insights from Opinions Using Big Data Analytics

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  • Arpan Kumar Kar

    (Indian Institute of Technology Delhi)

  • Amit Kumar Kushwaha

    (Indian Institute of Technology Delhi)

Abstract

Data-driven predictions have become an inseparable part of business decisions. Artificial Intelligence (AI) has started helping the product and support teams perform more accurate experiments in various business settings. This study proposes a framework for businesses based on inductive learnings related to success and barriers shared on social media platforms. Our goal is to analyse the signals emerging from these conversational opinions from the early adoption of AI, with a focus towards facilitators and barriers faced by teams. Factors like efficiency, innovation, business research, product novelty, manual intervention, adaptability, emotion, support, personal growth, experiential learning, fear of failure and fear of upgradation have been identified based on an exploratory study and then a confirmatory study. We present the learnings through a roadmap for practitioners. This study contributes to the IS literature by delineating AI as a determinant of success and introduces a lot of organizational factors into the model.

Suggested Citation

  • Arpan Kumar Kar & Amit Kumar Kushwaha, 2023. "Facilitators and Barriers of Artificial Intelligence Adoption in Business – Insights from Opinions Using Big Data Analytics," Information Systems Frontiers, Springer, vol. 25(4), pages 1351-1374, August.
    • Handle: RePEc:spr:infosf:v:25:y:2023:i:4:d:10.1007_s10796-021-10219-4
    DOI: 10.1007/s10796-021-10219-4
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    2. Tarikul Islam & Erhua Zhou, 2024. "Unpacking the Reasons Shaping Employee Acceptance and Attitudes towards AI Assistant Services in the Hotel Industry: A Behavioral Reasoning Perspective," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 14(5), pages 1-7.

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