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Impact of Factors on the Intention to Use Ride-hailing Technology Applications during the COVID-19 Epidemic in Vietnam

Author

Listed:
  • Nguyen Ngoc Mai

    (Thu Dau Mot University, Binh Duong province, Vietnam.)

  • Nguy?n Th? Minh Th?o

    (Thu Dau Mot University, Binh Duong province, Vietnam.)

  • Vo Hoang Ngoc Thuy

    (Thu Dau Mot University, Binh Duong province, Vietnam.)

Abstract

This article aims to define the intent to use ride-hailing technology applications in the current Covid-19 translation situation and related factors such as: The usefulness of ride-hailing application, the attractiveness of private cars, the influence of the subjective norms and perceived behavior control factor. The study surveyed 342 questionnaires in Vietnam with a Likert scale. Hypothesis testing in this study uses the validity test, reliability test, multiple linear regression analysis, and the correlation between factors with SPSS version 22.0. The research results show that all 4 factors have a positive influence on the intention to use ride-hailing applications. Of which, the the usefulness of ride-hailing application factor has the strongest impact on the intention to use ride-hailing technology apps, and the attractiveness of the private vehicle had the least influence on the intention to use ride-hailing technology applications during the Covid-19 season.

Suggested Citation

  • Nguyen Ngoc Mai & Nguy?n Th? Minh Th?o & Vo Hoang Ngoc Thuy, 2021. "Impact of Factors on the Intention to Use Ride-hailing Technology Applications during the COVID-19 Epidemic in Vietnam," International Review of Management and Marketing, Econjournals, vol. 11(1), pages 1-7.
    • Handle: RePEc:eco:journ3:2021-01-1
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    References listed on IDEAS

    as
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    Cited by:

    1. Nguyen-Phuoc, Duy Quy & Su, Diep Ngoc & Nguyen, Minh Hieu & Vo, Nguyen S. & Oviedo-Trespalacios, Oscar, 2022. "Factors influencing intention to use on-demand shared ride-hailing services in Vietnam: risk, cost or sustainability?," Journal of Transport Geography, Elsevier, vol. 99(C).
    2. Liu, Jianxiao & Gu, Hengyu & Zhou, Lin & Zhang, Hongmou & Wang, Luyao & Yu, Yue & Liu, Zhewei, 2024. "Resilience and recovery: Evaluating COVID pandemic effects on ride-hailing mobility and driver income dynamics," Journal of Transport Geography, Elsevier, vol. 117(C).

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    More about this item

    Keywords

    s Ride-hailing technology applications; intention to use; the attractiveness of private cars; Covid-19; the usefulness of ride-hailing application.;
    All these keywords.

    JEL classification:

    • N70 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - General, International, or Comparative
    • N75 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - Asia including Middle East
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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