EMPLOYEE PERCEPTIONS OF GENERATIVE AI ADOPTION AND ITS INFLUENCE ON EMPLOYEE WELLBEING AND ORGANIZATIONAL CULTURE IN THE ECOMMERCE RETAIL SECTOR

http://dx.doi.org/10.31703/gmsr.2026(XI-I).07      10.31703/gmsr.2026(XI-I).07      Published : Mar 2026
Authored by : Iram Saba , Rubab Tariq , Saima Hassan

07 Pages : 117-128

http://dx.doi.org/10.31703/gmsr.2026(XI-I).07      10.31703/gmsr.2026(XI-I).07      Published : Mar 2026

Employee Perceptions of Generative AI Adoption and Its Influence on Employee Well-Being and Organizational Culture in the E-Commerce Retail Sector

This cross-sectional study examines how Generative AI (GenAI) is influencing employee well-being and organizational culture. This study is set in Pakistan’s e-commerce retail sector, and the analysis covers the digital transformation era in the industry. By applying the Job Demands–Resources(JD-R) theory as a primary conceptual framework, the research analyzes how GenAI functions as a critical job resource that can improve productivity & reduce stress while having potential to introduce new technical challenges and demands. 385 respondents from Pakistani retail organizations participated in this study. The findings reveal that GenAI adoption has a positive impact on both employee well-being and organizational culture. Furthermore, the study identifies Organizational Culture is a mediator with approximately 41% of the total effect of GenAI adoption on well-being transmitted through a supportive and innovation-oriented culture. These results suggest that GenAI employee outcomes is dependent on an organizational environment that encourages adaptive behavior and continuous development.

    E-Commerce, Generative AI, Employee Well-Being
    (1) Iram Saba
    PhD Scholar, National College of Business Administration & Economics, Lahore, Punjab, Pakistan.
    (2) Rubab Tariq
    PhD Scholar, National College of Business Administration & Economics, Lahore, Punjab, Pakistan.
    (3) Saima Hassan
    Associate professor, National College of Business Administration & Economics, Lahore, Punjab, Pakistan.
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Cite this article

    APA : Saba, I., Tariq, R., & Hassan, S. (2026). Employee Perceptions of Generative AI Adoption and Its Influence on Employee Well-Being and Organizational Culture in the E-Commerce Retail Sector. <i>Global Management Sciences Review, XI(I)</i>, 117-128. <a href='https://doi.org/10.31703/gmsr.2026(XI-I).07'>https://doi.org/10.31703/gmsr.2026(XI-I).07</a>
    CHICAGO : Saba, Iram, Rubab Tariq, and Saima Hassan. 2026. "Employee Perceptions of Generative AI Adoption and Its Influence on Employee Well-Being and Organizational Culture in the E-Commerce Retail Sector." <i>Global Management Sciences Review</i>, XI (I): 117-128 doi: 10.31703/gmsr.2026(XI-I).07
    HARVARD : SABA, I., TARIQ, R. & HASSAN, S. 2026. Employee Perceptions of Generative AI Adoption and Its Influence on Employee Well-Being and Organizational Culture in the E-Commerce Retail Sector. <i>Global Management Sciences Review</i>, XI, 117-128.
    MHRA : Saba, Iram, Rubab Tariq, and Saima Hassan. 2026. "Employee Perceptions of Generative AI Adoption and Its Influence on Employee Well-Being and Organizational Culture in the E-Commerce Retail Sector." Global Management Sciences Review, XI: 117-128
    MLA : Saba, Iram, Rubab Tariq, and Saima Hassan. "Employee Perceptions of Generative AI Adoption and Its Influence on Employee Well-Being and Organizational Culture in the E-Commerce Retail Sector." <i>Global Management Sciences Review</i>, XI.I (2026): 117-128 Print.
    OXFORD : Saba, Iram, Tariq, Rubab, and Hassan, Saima (2026), "Employee Perceptions of Generative AI Adoption and Its Influence on Employee Well-Being and Organizational Culture in the E-Commerce Retail Sector", <i>Global Management Sciences Review</i>, XI (I), 117-128
    TURABIAN : Saba, Iram, Rubab Tariq, and Saima Hassan. "Employee Perceptions of Generative AI Adoption and Its Influence on Employee Well-Being and Organizational Culture in the E-Commerce Retail Sector." <i>Global Management Sciences Review</i> XI, no. I (2026): 117-128. <a href='https://doi.org/10.31703/gmsr.2026(XI-I).07'>https://doi.org/10.31703/gmsr.2026(XI-I).07</a>