Building a New Research Field: A Conceptual Evaluation of the Effects of Artificial Intelligence on Interorganizational Trust
DOI:
https://doi.org/10.5281/zenodo.19360772Anahtar Kelimeler:
Yapay Zeka, Örgütlerarası İlişkiler, Güven, Örgütlerarası GüvenÖzet
The digital transformation process brought about by Industry 4.0 has ushered in a new era of decision-making by robots. One of the most important technological components used to accomplish digital transformation in all aspects of Industry 4.0 is the notion of artificial intelligence. Artificial intelligence is the capacity of systems to make judgments and rationally resolve complex problems by analyzing their environment. Human-machine contact will therefore undoubtedly change as a result of this transition process, where machines now make the majority of decisions. Furthermore, previous studies indicate that organizations are expected to develop and operate in completely new ecosystems where digital reliance becomes significant. This describes digitally intensive contexts where business ecosystems are so closely linked that firms are unable to develop their company policies independently from the business ecosystem. The importance of the impact of digitalization and artificial intelligence on interorganizational trust will therefore become more significant in these newly emerging complex webs of interdependent actors in the future, where this interaction is anticipated to create synergistic systems where everything is mutually dependent, necessitating mutuality and trust. In addition to this, a lot of study being done on the impact of artificial intelligence on this shift from many angles, but there are not many studies looking at how it affects interorganizational trust. Besides, even though a lot of research has been done on the variables that affect interorganizational trust from a variety of perspectives, the impact of AI as a determinant factor on the development of interorganizational trust has not been adequately explored in these literature studies. This study focuses on the connection between interorganizational trust and the implementation of artificial intelligence by presenting an overall structure for understanding how AI affects interorganizational trust to make a conceptual contribution to the literature for future research. To uncover research gaps in the field, earlier studies examining the connection between artificial intelligence and interorganizational trust are analyzed through a literature review.
Referanslar
Ando, N., & Rhee, D. K. (2009). Antecedents of interorganizational trust: Joint decision-making, cultural adaptation, and bargaining power. Journal of Asia Business Studies, 3(2), 16–28.
Arias-Perez, J., & Huynh, T. (2023). Flipping the odds of AI-driven open innovation: The effectiveness of partner trustworthiness in counteracting interorganizational knowledge hiding. Industrial Marketing Management, 111, 30–40.
Aulakh, P. S., Kotabe, M., & Sahay, A. (1996). Trust and performance in cross-border marketing partnerships: A behavioral approach. Journal of International Business Studies, 27(5), 1005–1032.
Das, A. (2000). Trust in “trust-free” digital networks: How inter-firm algorithmic relationships embed the cardinal principles of value co-creation. Transactions on Human-Computer Interaction, 12(4), 228–252.
Demir, A. (2024). The influence of inter-organizational trust on the adoption of artificial intelligence within supply chains [Unpublished master's thesis]. Tilburg University.
Dhanaraj, C., Lyles, M. A., Steensma, H. K., & Tihanyi, L. (2004). Managing tacit and explicit knowledge transfer in IJVs: The role of relational embeddedness and the impact on performance. Journal of International Business Studies, 35(5), 428–442.
Doney, P. M., Cannon, J. P., & Mullen, M. R. (1998). Understanding the influence of national culture on the development of trust. Academy of Management Review, 23(3), 601–620.
Ferrario, A., Loi, M., & Vigano, E. (2020). In AI we trust incrementally: A multi-layer model of trust to analyze human-artificial intelligence interactions. Philosophy & Technology, 33, 523–539.
Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of Management Annals, 14(2), 627–660.
Haton, J. P. (2006). A brief introduction to artificial intelligence. IFAC Proceedings Volumes, 39(4), 8–16.
Kawasaki, C. (2019). Formation and maintenance of interorganizational trust. Dobunkan Publishing. Cited in Sakai, M., & Kimura, Y. (2024). Formation of interdependence among individuals in the initial phase of intercompany collaboration: The role of leaders and members of AI consortiums in Japan. Administrative Sciences, 14, 124, 1–19.
Kiviranta, M. (2018). Impact of digitalization on inter-organizational trust [Master's thesis]. LUT School of Business and Management.
Kuipers, B. (2022). Trust and cooperation. Frontiers in Robotics and AI, 9, 1–18.
Li, J., Zhou, Y., Yao, J., & Liu, X. (2021). An empirical investigation of trust in AI in a Chinese petrochemical enterprise based on institutional theory. Scientific Reports, 11, 13564.
Madhok, A. (1995). Revisiting multinational firm's tolerance for joint ventures: A trust-based approach. Journal of International Business Studies, 26(1), 117–137.
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709–734.
Rahimov, F. (2019). Artificial intelligence (AI) integration in business environment and process: Perception among managers in Turkey [Master's thesis]. Dokuz Eylül University.
Sakai, M., & Kimura, Y. (2024). Formation of interdependence among individuals in the initial phase of intercompany collaboration: The role of leaders and members of AI consortiums in Japan. Administrative Sciences, 14, 124, 1–19.
Schilke, O., & Cook, K. S. (2013). A cross-level process theory of trust development in interorganizational relationships. Strategic Organization, 11(3), 281–303.
Schonberger, V. M., & Cukier, K. (2014). Big data: A revolution that will transform how we live, work, and think. John Murray, London. Cited in Rahimov, F. (2019). Artificial intelligence (AI) integration in business environment and process: Perception among managers in Turkey [Master's thesis]. Dokuz Eylül University.
Thorelli, H. B. (1986). Between markets and hierarchies. Strategic Management Journal, 7, 35–51.
Verbeke, A., & Greidanus, N. S. (2009). The end of the opportunism vs. trust debate: Bounded reliability as a new envelope concept in research on MNE governance. Journal of International Business Studies, 40(9), 1471–1495.
Zaheer, A., & Harris, J. (2005). Interorganizational trust. In O. Shenkar & J. J. Reuer (Eds.), Handbook of strategic alliances (pp. 169–197). Sage Publications, Inc. Cited in Sakai, M., & Kimura, Y. (2024). Formation of interdependence among individuals in the initial phase of intercompany collaboration: The role of leaders and members of AI consortiums in Japan. Administrative Sciences, 14, 124, 1–19.
Zaheer, A., McEvily, B., & Perrone, V. (1998). Does trust matter? Exploring the effects of inter-organizational trust and interpersonal trust on performance. Organization Science, 9(2), 141–159.
Zou, T., Ertug, G., Cuypers, I. R. P., & Ferrin, D. L. (2023). Trust across borders: A review of the research on interorganizational trust in international business. Journal of International Business Studies, 54, 1379–1401.
Weber, A., Smith, B., Chen, C., & Li, D. (2022). AI startup business models, key characteristics and directions for entrepreneurship research. Business & Information Systems Engineering, 64(1), 91–109.
Weisz, E., Herold, D. M., Ostern, N. K., Pyan, P., & Sebastian, K. (2025). Artificial intelligence (AI) for supply chain collaboration: Implications on information sharing and trust. Online Information Review, 49(1), 164–181.
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Telif Hakkı (c) 2026 International Journal of Social and Humanities Sciences Research (JSHSR)
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