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Generation differences in the gig economy in Vietnam

Author

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  • Tri Minh Cao

    (Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam)

  • Anh Ngoc Pham

    (Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam)

Abstract

The development of digital technology is rising. It creates favorable conditions for the workforce and increases participation in the gig economy. Online jobs are getting more approachable and convenient. For many reasons, there have been differences in generations in the gig economy. Therefore, managers need to have conversation methods and policies to attract workers of each generation to participate in the gig economy. The study has been conducted to identify, analyze, evaluate, and quantify the influence of factors on the intention of different generations to participate in the gig economy. Data was collected from 374 workers of three generations (X, Y, Z) who have not yet participated in the gig economy in Vietnam - an emerging market with both potential opportunities and challenges for managers and investors. The research hypotheses were tested by Partial Least Squares Structural Equation Modeling (PLS-SEM). Results have shown that each generation has different intentions to participate in the gig economy. Factors including perceived risk, current income, skills, flexible working time, and platform, which also differently affect these generations’ intentions. Some managerial implications and future research were suggested.

Suggested Citation

  • Tri Minh Cao & Anh Ngoc Pham, 2024. "Generation differences in the gig economy in Vietnam," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ECONOMICS AND BUSINESS ADMINISTRATION, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 14(3), pages 59-76.
  • Handle: RePEc:bjw:econen:v:14:y:2024:i:3:p:59-76
    DOI: 10.46223/HCMCOUJS.econ.en.14.3.2730.2024
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    References listed on IDEAS

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    1. M. Keith Chen & Judith A. Chevalier & Peter E. Rossi & Emily Oehlsen, 2019. "The Value of Flexible Work: Evidence from Uber Drivers," Journal of Political Economy, University of Chicago Press, vol. 127(6), pages 2735-2794.
    2. Alexandre Mas & Amanda Pallais, 2017. "Valuing Alternative Work Arrangements," American Economic Review, American Economic Association, vol. 107(12), pages 3722-3759, December.
    3. Nilanjan Banik & Milind Padalkar, 2021. "The Spread of Gig Economy: Trends and Effects," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 15(1), pages 19-29.
    4. Kässi, Otto & Lehdonvirta, Vili, 2018. "Online labour index: Measuring the online gig economy for policy and research," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 241-248.
    5. Gerald Friedman, 2014. "Workers without employers: shadow corporations and the rise of the gig economy," Review of Keynesian Economics, Edward Elgar Publishing, vol. 2(2), pages 171-188, April.
    6. Meriem Hodge Doucette & W. David Bradford, 2019. "Dual Job Holding and the Gig Economy: Allocation of Effort across Primary and Gig Jobs," Southern Economic Journal, John Wiley & Sons, vol. 85(4), pages 1217-1242, April.
    7. Jörg Henseler, 2010. "On the convergence of the partial least squares path modeling algorithm," Computational Statistics, Springer, vol. 25(1), pages 107-120, March.
    8. Sun, Hao & Wang, Hai & Wan, Zhixi, 2019. "Model and analysis of labor supply for ride-sharing platforms in the presence of sample self-selection and endogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 125(C), pages 76-93.
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    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions

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