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In consilium apparatus: Artificial intelligence, stakeholder reciprocity, and firm performance

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  • Bosse, Douglas
  • Thompson, Steven
  • Ekman, Peter

Abstract

Firms are increasingly using forms of AI to serve stakeholders across various business functions, resulting in both positive and negative outcomes. Stakeholder theory explains how firms create and destroy value via their stakeholder encounters, making it an ideal foundation for understanding AI deployment on firm-level performance. As AI continues to evolve, both when it comes to the activities and roles it takes and the stakeholders it affects, the AI-stakeholder framework developed herein identifies and situates key managerial decisions related to the adoption and deployment of AI that drive the firm’s likelihood of creating or destroying value through stakeholder encounters. The AI–stakeholder framework focuses on stakeholder justice and is supported by testable propositions about the conditions most likely to affect the outcomes of incorporating AI into business processes. The framework also supports future research and practical managerial guidance by articulating the challenges and potential of AI for managing stakeholder encounters.

Suggested Citation

  • Bosse, Douglas & Thompson, Steven & Ekman, Peter, 2023. "In consilium apparatus: Artificial intelligence, stakeholder reciprocity, and firm performance," Journal of Business Research, Elsevier, vol. 155(PA).
    • Handle: RePEc:eee:jbrese:v:155:y:2023:i:pa:s0148296322008670
    DOI: 10.1016/j.jbusres.2022.113402
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    as
    1. Ernst Fehr & Simon Gächter, 2000. "Fairness and Retaliation: The Economics of Reciprocity," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 159-181, Summer.
    2. 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.
    3. Loureiro, Sandra Maria Correia & Guerreiro, João & Tussyadiah, Iis, 2021. "Artificial intelligence in business: State of the art and future research agenda," Journal of Business Research, Elsevier, vol. 129(C), pages 911-926.
    4. Perez-Vega, Rodrigo & Kaartemo, Valtteri & Lages, Cristiana R. & Borghei Razavi, Niloofar & Männistö, Jaakko, 2021. "Reshaping the contexts of online customer engagement behavior via artificial intelligence: A conceptual framework," Journal of Business Research, Elsevier, vol. 129(C), pages 902-910.
    5. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    6. Douglas A. Bosse & Robert A. Phillips & Jeffrey S. Harrison, 2009. "Stakeholders, reciprocity, and firm performance," Strategic Management Journal, Wiley Blackwell, vol. 30(4), pages 447-456, April.
    7. Jeffrey S. Harrison & Douglas A. Bosse & Robert A. Phillips, 2010. "Managing for stakeholders, stakeholder utility functions, and competitive advantage," Strategic Management Journal, Wiley Blackwell, vol. 31(1), pages 58-74, January.
    8. Jay B. Barney, 2018. "Why resource‐based theory's model of profit appropriation must incorporate a stakeholder perspective," Strategic Management Journal, Wiley Blackwell, vol. 39(13), pages 3305-3325, December.
    9. Michael Haenlein & Ming-Hui Huang & Andreas Kaplan, 2022. "Guest Editorial: Business Ethics in the Era of Artificial Intelligence," Journal of Business Ethics, Springer, vol. 178(4), pages 867-869, July.
    10. McLean, Graeme & Osei-Frimpong, Kofi & Barhorst, Jennifer, 2021. "Alexa, do voice assistants influence consumer brand engagement? – Examining the role of AI powered voice assistants in influencing consumer brand engagement," Journal of Business Research, Elsevier, vol. 124(C), pages 312-328.
    11. Alchian, Armen A & Demsetz, Harold, 1972. "Production , Information Costs, and Economic Organization," American Economic Review, American Economic Association, vol. 62(5), pages 777-795, December.
    12. Ernst Fehr & Urs Fischbacher, 2003. "The nature of human altruism," Nature, Nature, vol. 425(6960), pages 785-791, October.
    13. Grossman, Sanford J & Hart, Oliver D, 1986. "The Costs and Benefits of Ownership: A Theory of Vertical and Lateral Integration," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 691-719, August.
    14. Makarius, Erin E. & Mukherjee, Debmalya & Fox, Joseph D. & Fox, Alexa K., 2020. "Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization," Journal of Business Research, Elsevier, vol. 120(C), pages 262-273.
    15. Paul M. Leonardi, 2021. "COVID‐19 and the New Technologies of Organizing: Digital Exhaust, Digital Footprints, and Artificial Intelligence in the Wake of Remote Work," Journal of Management Studies, Wiley Blackwell, vol. 58(1), pages 249-253, January.
    16. Gligor, David M. & Pillai, Kishore Gopalakrishna & Golgeci, Ismail, 2021. "Theorizing the dark side of business-to-business relationships in the era of AI, big data, and blockchain," Journal of Business Research, Elsevier, vol. 133(C), pages 79-88.
    17. Harrison, Jeffrey S. & Bosse, Douglas A., 2013. "How much is too much? The limits to generous treatment of stakeholders," Business Horizons, Elsevier, vol. 56(3), pages 313-322.
    18. Catherine L. Anderson & Ritu Agarwal, 2011. "The Digitization of Healthcare: Boundary Risks, Emotion, and Consumer Willingness to Disclose Personal Health Information," Information Systems Research, INFORMS, vol. 22(3), pages 469-490, September.
    19. Axel v. Werder, 2011. "Corporate Governance and Stakeholder Opportunism," Organization Science, INFORMS, vol. 22(5), pages 1345-1358, October.
    20. Wright, Scott A. & Schultz, Ainslie E., 2018. "The rising tide of artificial intelligence and business automation: Developing an ethical framework," Business Horizons, Elsevier, vol. 61(6), pages 823-832.
    21. Yogesh K. Dwivedi & David Wastell & Sven Laumer & Helle Zinner Henriksen & Michael D. Myers & Deborah Bunker & Amany Elbanna & M. N. Ravishankar & Shirish C. Srivastava, 2015. "Research on information systems failures and successes: Status update and future directions," Information Systems Frontiers, Springer, vol. 17(1), pages 143-157, February.
    22. Georg Meyer & Gediminas Adomavicius & Paul E. Johnson & Mohamed Elidrisi & William A. Rush & JoAnn M. Sperl-Hillen & Patrick J. O'Connor, 2014. "A Machine Learning Approach to Improving Dynamic Decision Making," Information Systems Research, INFORMS, vol. 25(2), pages 239-263, June.
    23. Robinson, Stacey & Orsingher, Chiara & Alkire, Linda & De Keyser, Arne & Giebelhausen, Michael & Papamichail, K. Nadia & Shams, Poja & Temerak, Mohamed Sobhy, 2020. "Frontline encounters of the AI kind: An evolved service encounter framework," Journal of Business Research, Elsevier, vol. 116(C), pages 366-376.
    24. Tejaswini Herath & H Raghav Rao, 2009. "Protection motivation and deterrence: a framework for security policy compliance in organisations," European Journal of Information Systems, Taylor & Francis Journals, vol. 18(2), pages 106-125, April.
    25. Di Vaio, Assunta & Palladino, Rosa & Hassan, Rohail & Escobar, Octavio, 2020. "Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review," Journal of Business Research, Elsevier, vol. 121(C), pages 283-314.
    26. Nick Hajli & Xiaolin Lin, 2016. "Exploring the Security of Information Sharing on Social Networking Sites: The Role of Perceived Control of Information," Journal of Business Ethics, Springer, vol. 133(1), pages 111-123, January.
    27. Gursoy, Dogan & Chi, Oscar Hengxuan & Lu, Lu & Nunkoo, Robin, 2019. "Consumers acceptance of artificially intelligent (AI) device use in service delivery," International Journal of Information Management, Elsevier, vol. 49(C), pages 157-169.
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