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

Author

Listed:
  • Purva Grover

    (Indian Institute of Management Amritsar)

  • Arpan Kumar Kar

    (Indian Institute of Technology Delhi)

  • Yogesh K. Dwivedi

    (Swansea University)

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.

Suggested Citation

  • Purva Grover & Arpan Kumar Kar & Yogesh K. Dwivedi, 2022. "Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions," Annals of Operations Research, Springer, vol. 308(1), pages 177-213, January.
    • Handle: RePEc:spr:annopr:v:308:y:2022:i:1:d:10.1007_s10479-020-03683-9
    DOI: 10.1007/s10479-020-03683-9
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    1. Ruth Banomyong & Paitoon Varadejsatitwong & Richard Oloruntoba, 2019. "A systematic review of humanitarian operations, humanitarian logistics and humanitarian supply chain performance literature 2005 to 2016," Annals of Operations Research, Springer, vol. 283(1), pages 71-86, December.
    2. 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.
    3. André. F. H. Librantz & Sidnei A. Araújo & Wonder A. L. Alves & Peterson A. Belan & Rafael A. Mesquita & Antonio H. P. Selvatici, 2017. "Artificial intelligence based system to improve the inspection of plastic mould surfaces," Journal of Intelligent Manufacturing, Springer, vol. 28(1), pages 181-190, January.
    4. Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K, 2019. "Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda," International Journal of Information Management, Elsevier, vol. 48(C), pages 63-71.
    5. Rameshwar Dubey & Angappa Gunasekaran & David J. Bryde & Yogesh K. Dwivedi & Thanos Papadopoulos, 2020. "Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3381-3398, June.
    6. Zhi-Hai Zhang & Gemma Berenguer & Zuo-Jun (Max) Shen, 2015. "A Capacitated Facility Location Model with Bidirectional Flows," Transportation Science, INFORMS, vol. 49(1), pages 114-129, February.
    7. Sanja Petrovic, 2019. "“You have to get wet to learn how to swim” applied to bridging the gap between research into personnel scheduling and its implementation in practice," Annals of Operations Research, Springer, vol. 275(1), pages 161-179, April.
    8. Grover, Purva & Kar, Arpan Kumar & Ilavarasan, P. Vigneswara, 2019. "Impact of corporate social responsibility on reputation—Insights from tweets on sustainable development goals by CEOs," International Journal of Information Management, Elsevier, vol. 48(C), pages 39-52.
    9. Erevelles, Sunil & Fukawa, Nobuyuki & Swayne, Linda, 2016. "Big Data consumer analytics and the transformation of marketing," Journal of Business Research, Elsevier, vol. 69(2), pages 897-904.
    10. Jyoti Prakash Singh & Yogesh K. Dwivedi & Nripendra P. Rana & Abhinav Kumar & Kawaljeet Kaur Kapoor, 2019. "Event classification and location prediction from tweets during disasters," Annals of Operations Research, Springer, vol. 283(1), pages 737-757, December.
    11. Sea Matilda Bez & Henry Chesbrough, 2020. "Competitor Collaboration Before a Crisis," Post-Print hal-02565068, HAL.
    12. Scott DuHadway & Steven Carnovale & Benjamin Hazen, 2019. "Understanding risk management for intentional supply chain disruptions: risk detection, risk mitigation, and risk recovery," Annals of Operations Research, Springer, vol. 283(1), pages 179-198, December.
    13. Yan Zhao & Nanfang Cui & Wendi Tian, 2020. "A two-stage approach for the critical chain project rescheduling," Annals of Operations Research, Springer, vol. 285(1), pages 67-95, February.
    14. Purva Grover & Arpan Kumar Kar, 2017. "Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 203-229, September.
    15. Kevin Tierney & Björg Áskelsdóttir & Rune Møller Jensen & David Pisinger, 2015. "Solving the Liner Shipping Fleet Repositioning Problem with Cargo Flows," Transportation Science, INFORMS, vol. 49(3), pages 652-674, August.
    16. 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.
    17. Gupta, Shivam & Kar, Arpan Kumar & Baabdullah, Abdullah & Al-Khowaiter, Wassan A.A., 2018. "Big data with cognitive computing: A review for the future," International Journal of Information Management, Elsevier, vol. 42(C), pages 78-89.
    18. Wamba, Samuel Fosso & Gunasekaran, Angappa & Akter, Shahriar & Ren, Steven Ji-fan & Dubey, Rameshwar & Childe, Stephen J., 2017. "Big data analytics and firm performance: Effects of dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 356-365.
    19. Kassarjian, Harold H, 1977. "Content Analysis in Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 4(1), pages 8-18, June.
    20. José A. Santiváñez & Emanuel Melachrinoudis, 2020. "Reliable maximin–maxisum locations for maximum service availability on tree networks vulnerable to disruptions," Annals of Operations Research, Springer, vol. 286(1), pages 669-701, March.
    21. Simon Oh & Young-Ji Byon & Kitae Jang & Hwasoo Yeo, 2015. "Short-term Travel-time Prediction on Highway: A Review of the Data-driven Approach," Transport Reviews, Taylor & Francis Journals, vol. 35(1), pages 4-32, January.
    22. Hughes, Laurie & Dwivedi, Yogesh K. & Misra, Santosh K. & Rana, Nripendra P. & Raghavan, Vishnupriya & Akella, Viswanadh, 2019. "Blockchain research, practice and policy: Applications, benefits, limitations, emerging research themes and research agenda," International Journal of Information Management, Elsevier, vol. 49(C), pages 114-129.
    23. Masayuki Morikawa, 2017. "Firms' Expectations About The Impact Of Ai And Robotics: Evidence From A Survey," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 1054-1063, April.
    24. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    25. Changchun Liu & Xi Xiang & Li Zheng, 2020. "Value of information sharing in a multiple producers–distributor supply chain," Annals of Operations Research, Springer, vol. 285(1), pages 121-148, February.
    26. Milas, Goran & Mlacic, Boris, 2007. "Brand personality and human personality: Findings from ratings of familiar Croatian brands," Journal of Business Research, Elsevier, vol. 60(6), pages 620-626, June.
    27. Nishikant Mishra & Akshit Singh, 2018. "Use of twitter data for waste minimisation in beef supply chain," Annals of Operations Research, Springer, vol. 270(1), pages 337-359, November.
    28. 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.
    29. Ismagilova, Elvira & Hughes, Laurie & Dwivedi, Yogesh K. & Raman, K. Ravi, 2019. "Smart cities: Advances in research—An information systems perspective," International Journal of Information Management, Elsevier, vol. 47(C), pages 88-100.
    30. Tingliang Huang & Jan A. Van Mieghem, 2014. "Clickstream Data and Inventory Management: Model and Empirical Analysis," Production and Operations Management, Production and Operations Management Society, vol. 23(3), pages 333-347, March.
    31. Jérémie Gallien & Adam J. Mersereau & Andres Garro & Alberte Dapena Mora & Martín Nóvoa Vidal, 2015. "Initial Shipment Decisions for New Products at Zara," Operations Research, INFORMS, vol. 63(2), pages 269-286, April.
    32. Chae, Bongsug (Kevin), 2015. "Insights from hashtag #supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research," International Journal of Production Economics, Elsevier, vol. 165(C), pages 247-259.
    33. Manita, Riadh & Elommal, Najoua & Baudier, Patricia & Hikkerova, Lubica, 2020. "The digital transformation of external audit and its impact on corporate governance," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    34. Samuel Fosso Wamba & Andrew Edwards & Shahriar Akter, 2019. "Social media adoption and use for improved emergency services operations: the case of the NSW SES," Annals of Operations Research, Springer, vol. 283(1), pages 225-245, December.
    35. Luke Muggy & Jessica L. Heier Stamm, 2020. "Decentralized beneficiary behavior in humanitarian supply chains: models, performance bounds, and coordination mechanisms," Annals of Operations Research, Springer, vol. 284(1), pages 333-365, January.
    36. Lee, Hwee Khei & Fernando, Yudi, 2015. "The antecedents and outcomes of the medical tourism supply chain," Tourism Management, Elsevier, vol. 46(C), pages 148-157.
    37. Rainer Alt & Jan Fabian Ehmke & Reinhold Haux & Tino Henke & Dirk Christian Mattfeld & Andreas Oberweis & Barbara Paech & Alfred Winter, 2019. "Towards customer-induced service orchestration - requirements for the next step of customer orientation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(1), pages 79-91, March.
    38. ElMassah, Suzanna & Mohieldin, Mahmoud, 2020. "Digital transformation and localizing the Sustainable Development Goals (SDGs)," Ecological Economics, Elsevier, vol. 169(C).
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    13. Hind Aboussikine & Sonia Bendimerad & Thierry Sauvage & Mohamed Haouari, 2023. "Comment l’Intelligence Artificielle dompte la traçabilité des processus Supply Chain ? Application à NOZ France," Post-Print hal-04536092, HAL.
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