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Influence of Gender Diversity on Employee Work Engagement in the Context of Organizational Change: Evidence From Bangladeshi Employees

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  • M. Nazmul Islam

    (University of Asia Pacific, Bangladesh)

  • Fumitaka Furuoka

    (University of Malaya, Malaysia)

  • Aida Idris

    (University of Malaya, Malaysia)

Abstract

Employee work engagement is one of the key factors to manage successful organizational change. The present study investigated the moderating effect of gender diversity between transformational leadership, valence, and employee work engagement. Applying social bond theory, expectancy theory of motivation, and mental model theory, six hypotheses were examined in this study, using data from 300 full-time employees from Bangladesh’s banking sector. This study applied structural equation modeling for data analysis. The finding showed both transformational leadership and valence had a direct association with employee work engagement. In addition, gender diversity had a moderating effect on the proposed hypotheses. Finally, this study also revealed that female employees were more pronounced than male employees in the context of organizational change.

Suggested Citation

  • M. Nazmul Islam & Fumitaka Furuoka & Aida Idris, 2021. "Influence of Gender Diversity on Employee Work Engagement in the Context of Organizational Change: Evidence From Bangladeshi Employees," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 12(3), pages 1-19, July.
    • Handle: RePEc:igg:jabim0:v:12:y:2021:i:3:p:1-19
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    1. Amaro, Suzanne & Duarte, Paulo, 2015. "An integrative model of consumers' intentions to purchase travel online," Tourism Management, Elsevier, vol. 46(C), pages 64-79.
    2. Bömer, Max & Maxin, Hannes, 2018. "Why Fintechs Cooperate with Banks - Evidence from Germany," Hannover Economic Papers (HEP) dp-637, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Anagnostopoulos, Ioannis, 2018. "Fintech and regtech: Impact on regulators and banks," Journal of Economics and Business, Elsevier, vol. 100(C), pages 7-25.
    5. Bernadette Szajna, 1996. "Empirical Evaluation of the Revised Technology Acceptance Model," Management Science, INFORMS, vol. 42(1), pages 85-92, January.
    6. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    7. Priyanka Surendran, 2012. "Technology Acceptance Model: A Survey of Literature," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 2(4), pages 175-178, August.
    8. Terri Bradford & Fumiko Hayashi, 2014. "Mobile payments : merchants’ perspectives," Economic Review, Federal Reserve Bank of Kansas City, issue Q II, pages 33-58.
    9. Priyanka Surendran, 2012. "Technology Acceptance Model: A Survey of Literature," International Journal of Business and Social Research, LAR Center Press, vol. 2(4), pages 175-178, August.
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    1. Tasadduq Imam & Angelique McInnes & Sisira Colombage & Robert Grose, 2022. "Opportunities and Barriers for FinTech in SAARC and ASEAN Countries," JRFM, MDPI, vol. 15(2), pages 1-37, February.

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