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Ride on Conveniently!: Passengers' Adoption of Uber App in an Emerging Economy

Author

Listed:
  • Noman Hasan

    (Mawlana Bhashani Science and Technology University, Tangail, Bangladesh)

  • Abdul Gaffar Khan

    (Mawlana Bhashani Science and Technology University, Tangail, Bangladesh)

  • Mohammad Awal Hossen

    (Jashore University of Science and Technology, Bangladesh)

  • Ariful Islam

    (Bangabandhu Sheikh Mujibur Rahman Maritime University, Bangladesh)

Abstract

This study investigates the passengers' adoption of a ride-sharing service app (UBER) in Bangladesh. This study employed the most widely used and cited IT adoption model, The Unified Theory of Acceptance and Use of Technology-2 (UTAUT2), as the theoretical framework to examine the passengers' adoption of the popular sharing economy tools ride-sharing service applications (i.e., Uber). This study adds a new construct, safety, in the UTAUT2 model. Data were obtained from 206 participants which were analyzed using partial least square structural equation modeling (PLS-SEM). The results indicated that performance expectancy, effort expectancy, social influence, hedonic motivation, and facilitating conditions are the most significant determinant factors of behavioral intention to use the Uber app. In contrast, behavioral intention to use the Uber app is not significantly influenced by price value and safety. Additionally, the theoretical and practical implications of these results are discussed, which elicits the importance for business managers, marketers, and policymakers on sharing economy platforms.

Suggested Citation

  • Noman Hasan & Abdul Gaffar Khan & Mohammad Awal Hossen & Ariful Islam, 2021. "Ride on Conveniently!: Passengers' Adoption of Uber App in an Emerging Economy," International Journal of E-Adoption (IJEA), IGI Global, vol. 13(2), pages 19-35, July.
    • Handle: RePEc:igg:jea000:v:13:y:2021:i:2:p:19-35
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    Cited by:

    1. Zhang, Wenqing & Liu, Liangliang, 2022. "Exploring non-users' intention to adopt ride-sharing services: Taking into account increased risks due to the COVID-19 pandemic among other factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 180-195.

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