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Factors Affecting Human–AI Collaboration Performances in Financial Sector: Sustainable Service Development Perspective

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  • Chao Xu

    (Department of Management Information Systems, Gyeongsang National University, Jinju 52828, Republic of Korea)

  • Sung-Eui Cho

    (Department of Management Information Systems, Gyeongsang National University, Jinju 52828, Republic of Korea)

Abstract

Recent advances in generative artificial intelligence (Gen AI) enable financial services firms to enhance operational efficiency and foster innovation through human–AI collaboration, yet also pose technical and managerial challenges. Drawing on collaboration theory and prior research, this study examines how employee skills, data reliability, trusted systems, and effective management jointly influence innovation capability and managerial performance in Gen AI-supported work environments. Through survey design, data were collected from China’s financial sector and analyzed using multiple regression analyses and fuzzy-set qualitative comparative analysis (fsQCA). The findings show that all four factors exert a positive influence on innovation capability and managerial performance, with innovation capability acting as a partial mediator. Complementarily, fsQCA identifies distinct configurations of these factors that lead to high levels of innovation capability and managerial performance. To fully leverage human–Gen AI collaboration, financial services firms should upskill employees, strengthen data reliability through robust governance, establish trusted AI systems, and effectively integrate Gen AI into workflows through strong managerial oversight. These findings provide actionable insights for talent development, data governance, and workflow optimization, ultimately enhancing firms’ resilience, adaptability, and long-term sustainability in financial services.

Suggested Citation

  • Chao Xu & Sung-Eui Cho, 2025. "Factors Affecting Human–AI Collaboration Performances in Financial Sector: Sustainable Service Development Perspective," Sustainability, MDPI, vol. 17(10), pages 1-28, May.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:10:p:4335-:d:1653150
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    as
    1. Howard, Matt C., 2023. "A systematic literature review of exploratory factor analyses in management," Journal of Business Research, Elsevier, vol. 164(C).
    2. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    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. De Silva, Muthu & Howells, Jeremy & Meyer, Martin, 2018. "Innovation intermediaries and collaboration: Knowledge–based practices and internal value creation," Research Policy, Elsevier, vol. 47(1), pages 70-87.
    5. Sleiman, Jean-Pierre, 2023. "Generative artificial intelligence and large language models for digital banking: First outlook and perspectives," Journal of Digital Banking, Henry Stewart Publications, vol. 8(2), pages 102-117, September.
    6. Noble, Stephanie M. & Mende, Martin & Grewal, Dhruv & Parasuraman, A., 2022. "The Fifth Industrial Revolution: How Harmonious Human–Machine Collaboration is Triggering a Retail and Service [R]evolution," Journal of Retailing, Elsevier, vol. 98(2), pages 199-208.
    7. Haefner, Naomi & Wincent, Joakim & Parida, Vinit & Gassmann, Oliver, 2021. "Artificial intelligence and innovation management: A review, framework, and research agenda✰," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    8. Azeem, Muhammad & Ahmed, Munir & Haider, Sajid & Sajjad, Muhammad, 2021. "Expanding competitive advantage through organizational culture, knowledge sharing and organizational innovation," Technology in Society, Elsevier, vol. 66(C).
    9. Fredström, Ashkan & Parida, Vinit & Wincent, Joakim & Sjödin, David & Oghazi, Pejvak, 2022. "What is the Market Value of Artificial Intelligence and Machine Learning? The Role of Innovativeness and Collaboration for Performance," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    10. Sheshadri Chatterjee & Ranjan Chaudhuri & Demetris Vrontis, 2024. "Does data-driven culture impact innovation and performance of a firm? An empirical examination," Annals of Operations Research, Springer, vol. 333(2), pages 601-626, February.
    11. Mariani, Marcello M. & Machado, Isa & Nambisan, Satish, 2023. "Types of innovation and artificial intelligence: A systematic quantitative literature review and research agenda," Journal of Business Research, Elsevier, vol. 155(PB).
    12. Olan, Femi & Ogiemwonyi Arakpogun, Emmanuel & Suklan, Jana & Nakpodia, Franklin & Damij, Nadja & Jayawickrama, Uchitha, 2022. "Artificial intelligence and knowledge sharing: Contributing factors to organizational performance," Journal of Business Research, Elsevier, vol. 145(C), pages 605-615.
    13. Rana, Nripendra P. & Pillai, Rajasshrie & Sivathanu, Brijesh & Malik, Nishtha, 2024. "Assessing the nexus of Generative AI adoption, ethical considerations and organizational performance," Technovation, Elsevier, vol. 135(C).
    14. Zirar, Araz & Ali, Syed Imran & Islam, Nazrul, 2023. "Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda," Technovation, Elsevier, vol. 124(C).
    15. Campbell, Colin & Sands, Sean & Ferraro, Carla & Tsao, Hsiu-Yuan (Jody) & Mavrommatis, Alexis, 2020. "From data to action: How marketers can leverage AI," Business Horizons, Elsevier, vol. 63(2), pages 227-243.
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