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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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    References listed on IDEAS

    as
    1. Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
    2. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    3. Andrea Furlan & Ambra Galeazzo & Adriano Paggiaro, 2019. "Organizational and Perceived Learning in the Workplace: A Multilevel Perspective on Employees’ Problem Solving," Organization Science, INFORMS, vol. 30(2), pages 280-297, March.
    4. Jonah Berger & Alan T. Sorensen & Scott J. Rasmussen, 2010. "Positive Effects of Negative Publicity: When Negative Reviews Increase Sales," Marketing Science, INFORMS, vol. 29(5), pages 815-827, 09-10.
    5. Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2011. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Management Science, INFORMS, vol. 57(8), pages 1485-1509, August.
    6. Yi Zhao & Sha Yang & Vishal Narayan & Ying Zhao, 2013. "Modeling Consumer Learning from Online Product Reviews," Marketing Science, INFORMS, vol. 32(1), pages 153-169, May.
    7. Van de Ven, Andrew R., 1986. "Central Problems in the Management of Innovation," Agricultural Research Policy Seminar 139708, University of Minnesota Extension.
    8. David V. Day & Robert G. Lord, 1992. "Expertise And Problem Categorization: The Role Of Expert Processing In Organizational Sense‐Making," Journal of Management Studies, Wiley Blackwell, vol. 29(1), pages 35-47, January.
    9. Sharma, Sujeet Kumar & Sharma, Manisha, 2019. "Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation," International Journal of Information Management, Elsevier, vol. 44(C), pages 65-75.
    10. Gunasekaran, Angappa & Ngai, Eric W.T., 2012. "The future of operations management: An outlook and analysis," International Journal of Production Economics, Elsevier, vol. 135(2), pages 687-701.
    11. Constance E. Helfat & Margaret A. Peteraf, 2015. "Managerial cognitive capabilities and the microfoundations of dynamic capabilities," Strategic Management Journal, Wiley Blackwell, vol. 36(6), pages 831-850, June.
    12. Kar, Arpan Kumar & Dwivedi, Yogesh K., 2020. "Theory building with big data-driven research – Moving away from the “What” towards the “Why”," International Journal of Information Management, Elsevier, vol. 54(C).
    13. Herbert A. Simon, 1987. "Two Heads Are Better than One: The Collaboration between AI and OR," Interfaces, INFORMS, vol. 17(4), pages 8-15, August.
    14. Joachim Büschken & Thomas Otter & Greg M. Allenby, 2013. "The Dimensionality of Customer Satisfaction Survey Responses and Implications for Driver Analysis," Marketing Science, INFORMS, vol. 32(4), pages 533-553, July.
    15. Tinglong Dai & Shubhranshu Singh, 2020. "Conspicuous by Its Absence: Diagnostic Expert Testing Under Uncertainty," Marketing Science, INFORMS, vol. 39(3), pages 540-563, May.
    16. Andrew H. Van de Ven, 1986. "Central Problems in the Management of Innovation," Management Science, INFORMS, vol. 32(5), pages 590-607, May.
    17. Linda Argote & Ella Miron-Spektor, 2011. "Organizational Learning: From Experience to Knowledge," Organization Science, INFORMS, vol. 22(5), pages 1123-1137, October.
    18. Larissa Becker & Elina Jaakkola, 2020. "Customer experience: fundamental premises and implications for research," Journal of the Academy of Marketing Science, Springer, vol. 48(4), pages 630-648, July.
    19. Katharina Dittrich & Stéphane Guérard & David Seidl, 2016. "Talking About Routines: The Role of Reflective Talk in Routine Change," Organization Science, INFORMS, vol. 27(3), pages 678-697, June.
    20. Herbert A. Simon, 1991. "Bounded Rationality and Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 125-134, February.
    21. Xueming Luo & Siliang Tong & Zheng Fang & Zhe Qu, 2019. "Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases," Marketing Science, INFORMS, vol. 38(6), pages 937-947, November.
    22. Ashish K. Rathore & Arpan K. Kar & P. Vigneswara Ilavarasan, 2017. "Social Media Analytics: Literature Review and Directions for Future Research," Decision Analysis, INFORMS, vol. 14(4), pages 229-249, December.
    23. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    24. Martijn G. de Jong & Donald R. Lehmann & Oded Netzer, 2012. "State-Dependence Effects in Surveys," Marketing Science, INFORMS, vol. 31(5), pages 838-854, September.
    25. Diwas KC & Bradley R. Staats & Francesca Gino, 2013. "Learning from My Success and from Others' Failure: Evidence from Minimally Invasive Cardiac Surgery," Management Science, INFORMS, vol. 59(11), pages 2435-2449, November.
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