Generative AI Collaboration and Its Dual Impact on Productivity and Intrinsic Motivation: A Survey of Banking Professionals

http://dx.doi.org/10.31703/gmsr.2026(XI-I).08      10.31703/gmsr.2026(XI-I).08      Published : Mar 2026
Authored by : Sahar Shafi , Saima Hassan , Muhammad Bilal Chattha

08 Pages : 129-137

http://dx.doi.org/10.31703/gmsr.2026(XI-I).08      10.31703/gmsr.2026(XI-I).08      Published : Mar 2026

Generative AI Collaboration and Its Dual Impact on Productivity and Intrinsic Motivation: A Survey of Banking Professionals

The present study looks into the impact of collaboration with Generative Artificial Intelligence (GenAI) on productivity and intrinsic motivation within the commercial banking industry of Pakistan. Although the use of GenAI in banking is prevalent in customer service, reporting, and risk assessment, the current study uses the Self-Determination Theory (SDT) framework to explore whether there exists any possible conflict between increased efficiency and psychological health. Based on quantitative cross-sectional approach, data were gathered from 150 banking employees using structured questionnaires. After analyzing the data with the help of SPSS and Hayes’ PROCESS Macro, it was found that use of GenAI positively influences the productivity of individuals. At the same time, GenAI reduces their level of intrinsic motivation by making them feel bored and limiting their autonomy over tasks. The most significant finding of study is that the feeling of boredom mediates the negative influence of GenAI on employees’ motivation.

    ChatGPT, self-determination theory, cross-sectional survey, boredom, perception
    (1) Sahar Shafi
    Ph.D. Scholar, Faculty of Business Administration, National College of Business Administration and Economics (NCBA&E) Main Campus, Lahore, Punjab, Pakistan.
    (2) Saima Hassan
    Associate Professor, Faculty of Business Administration, National College of Business Administration and Economics (NCBA&E) Main Campus, Lahore, Punjab, Pakistan.
    (3) Muhammad Bilal Chattha
    Professor, Department of Agronomy, University of the Punjab, Lahore, Punjab, Pakistan.
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Cite this article

    APA : Shafi, S., Hassan, S., & Chattha, M. B. (2026). Generative AI Collaboration and Its Dual Impact on Productivity and Intrinsic Motivation: A Survey of Banking Professionals. <i>Global Management Sciences Review, XI(I)</i>, 129-137. <a href='https://doi.org/10.31703/gmsr.2026(XI-I).08'>https://doi.org/10.31703/gmsr.2026(XI-I).08</a>
    CHICAGO : Shafi, Sahar, Saima Hassan, and Muhammad Bilal Chattha. 2026. "Generative AI Collaboration and Its Dual Impact on Productivity and Intrinsic Motivation: A Survey of Banking Professionals." <i>Global Management Sciences Review</i>, XI (I): 129-137 doi: 10.31703/gmsr.2026(XI-I).08
    HARVARD : SHAFI, S., HASSAN, S. & CHATTHA, M. B. 2026. Generative AI Collaboration and Its Dual Impact on Productivity and Intrinsic Motivation: A Survey of Banking Professionals. <i>Global Management Sciences Review</i>, XI, 129-137.
    MHRA : Shafi, Sahar, Saima Hassan, and Muhammad Bilal Chattha. 2026. "Generative AI Collaboration and Its Dual Impact on Productivity and Intrinsic Motivation: A Survey of Banking Professionals." Global Management Sciences Review, XI: 129-137
    MLA : Shafi, Sahar, Saima Hassan, and Muhammad Bilal Chattha. "Generative AI Collaboration and Its Dual Impact on Productivity and Intrinsic Motivation: A Survey of Banking Professionals." <i>Global Management Sciences Review</i>, XI.I (2026): 129-137 Print.
    OXFORD : Shafi, Sahar, Hassan, Saima, and Chattha, Muhammad Bilal (2026), "Generative AI Collaboration and Its Dual Impact on Productivity and Intrinsic Motivation: A Survey of Banking Professionals", <i>Global Management Sciences Review</i>, XI (I), 129-137
    TURABIAN : Shafi, Sahar, Saima Hassan, and Muhammad Bilal Chattha. "Generative AI Collaboration and Its Dual Impact on Productivity and Intrinsic Motivation: A Survey of Banking Professionals." <i>Global Management Sciences Review</i> XI, no. I (2026): 129-137. <a href='https://doi.org/10.31703/gmsr.2026(XI-I).08'>https://doi.org/10.31703/gmsr.2026(XI-I).08</a>