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Exploring the dual effect of trust in GAI on employees’ exploitative and exploratory innovation

Author

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  • Xiaoyue Lin

    (Harbin Institute of Technology
    Harbin Institute of Technology)

  • Tiandong Wang

    (Harbin Engineering University)

  • Fan Sheng

    (Harbin Engineering University)

Abstract

The deployment of generative artificial intelligence (GAI) has attracted substantial research attention, yet its impact on employee innovation remains debated. Based on Technology-Task Fit (TTF) theory, this study investigates how trust in GAI affects employees’ exploitative and exploratory innovation. Analysis of survey data from 302 Chinese employees reveals that trust in GAI is positively related to exploitative innovation, while demonstrating an inverted U-shaped relationship with both exploratory innovation and the complementarity of these two innovation types. Furthermore, employee-GAI fit amplifies the positive effect of trust in GAI on exploitative innovation and moderates the inverted U-shaped relationship with exploratory innovation by shifting the turning point to the right. Employee-innovation task fit weakens the inverted U-shaped relationship between trust in GAI and exploratory innovation. These findings advance original theoretical insights into the relationship between trust in GAI and ambidextrous innovation and offer actionable guidance for innovation management practitioners.

Suggested Citation

  • Xiaoyue Lin & Tiandong Wang & Fan Sheng, 2025. "Exploring the dual effect of trust in GAI on employees’ exploitative and exploratory innovation," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
    • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04956-z
    DOI: 10.1057/s41599-025-04956-z
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    1. Michael Lubatkin & Zeki Simsek & Yan Ling & John F. Veiga, 2006. "Ambidexterity and Performance in Small-to Medium-Sized Firms : The Pivotal Role of Top Management Team Behavioral Integration," Post-Print hal-02311781, HAL.
    2. Feng, Cai (Mitsu) & Botha, Elsamari & Pitt, Leyland, 2024. "From HAL to GenAI: Optimizing chatbot impacts with CARE," Business Horizons, Elsevier, vol. 67(5), pages 537-548.
    3. 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.
    4. Leonardo Banh & Gero Strobel, 2023. "Generative artificial intelligence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.
    5. Mariani, Marcello & Dwivedi, Yogesh K., 2024. "Generative artificial intelligence in innovation management: A preview of future research developments," Journal of Business Research, Elsevier, vol. 175(C).
    6. Tom J. M. Mom & Frans A. J. Van Den Bosch & Henk W. Volberda, 2007. "Investigating Managers' Exploration and Exploitation Activities: The Influence of Top‐Down, Bottom‐Up, and Horizontal Knowledge Inflows," Journal of Management Studies, Wiley Blackwell, vol. 44(6), pages 910-931, September.
    7. Shrestha, Yash Raj & Krishna, Vaibhav & von Krogh, Georg, 2021. "Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges," Journal of Business Research, Elsevier, vol. 123(C), pages 588-603.
    8. Elena Hubschmid-Vierheilig & Monika Rohrer & Fotios Mitsakis, 2020. "Digital Competence Revolution and Human Resource Development in the United Kingdom and Switzerland," Springer Books, in: Mark Loon & Jim Stewart & Stefanos Nachmias (ed.), The Future of HRD, Volume I, edition 1, chapter 3, pages 53-91, Springer.
    9. Justin J. P. Jansen & Frans A. J. Van Den Bosch & Henk W. Volberda, 2006. "Exploratory Innovation, Exploitative Innovation, and Performance: Effects of Organizational Antecedents and Environmental Moderators," Management Science, INFORMS, vol. 52(11), pages 1661-1674, November.
    10. Michael Vössing & Niklas Kühl & Matteo Lind & Gerhard Satzger, 2022. "Designing Transparency for Effective Human-AI Collaboration," Information Systems Frontiers, Springer, vol. 24(3), pages 877-895, June.
    11. Hermann, Erik & Puntoni, Stefano, 2024. "Artificial intelligence and consumer behavior: From predictive to generative AI," Journal of Business Research, Elsevier, vol. 180(C).
    12. Limaj, Everist & Bernroider, Edward W.N., 2019. "The roles of absorptive capacity and cultural balance for exploratory and exploitative innovation in SMEs," Journal of Business Research, Elsevier, vol. 94(C), pages 137-153.
    13. Zi-Lin He & Poh-Kam Wong, 2004. "Exploration vs. Exploitation: An Empirical Test of the Ambidexterity Hypothesis," Organization Science, INFORMS, vol. 15(4), pages 481-494, August.
    14. Wei, Zelong & Huang, Wengao & Wang, Yanping & Sun, Lulu, 2022. "When does servitization promote product innovation? The moderating roles of product modularization and organization formalization," Technovation, Elsevier, vol. 117(C).
    15. Dominik K. Kanbach & Louisa Heiduk & Georg Blueher & Maximilian Schreiter & Alexander Lahmann, 2024. "The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective," Review of Managerial Science, Springer, vol. 18(4), pages 1189-1220, April.
    16. Richard F. J. Haans & Constant Pieters & Zi-Lin He, 2016. "Thinking about U: Theorizing and testing U- and inverted U-shaped relationships in strategy research," Strategic Management Journal, Wiley Blackwell, vol. 37(7), pages 1177-1195, July.
    17. Vincent, Vinod U., 2021. "Integrating intuition and artificial intelligence in organizational decision-making," Business Horizons, Elsevier, vol. 64(4), pages 425-438.
    18. Fosso Wamba, Samuel & Queiroz, Maciel M. & Chiappetta Jabbour, Charbel Jose & Shi, Chunming (Victor), 2023. "Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence?," International Journal of Production Economics, Elsevier, vol. 265(C).
    19. Peng Hu & Yaobin Lu & Yeming Gong, 2021. "Dual humanness and trust in conversational AI : A person-centered approach," Post-Print hal-03598766, HAL.
    20. Li, Peter Ping & Liu, Heng & Li, Yuan & Wang, Haifeng, 2023. "Exploration–Exploitation Duality with Both Tradeoff and Synergy: The Curvilinear Interaction Effects of Learning Modes on Innovation Types," Management and Organization Review, Cambridge University Press, vol. 19(3), pages 498-532, June.
    21. Ma, Xiaoyue & Huo, Yudi, 2023. "Are users willing to embrace ChatGPT? Exploring the factors on the acceptance of chatbots from the perspective of AIDUA framework," Technology in Society, Elsevier, vol. 75(C).
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