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An Empirical Investigation on Taxi Hailing Mobile App Adoption: A Structural Equation Modelling

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  • Herman Fassou Haba
  • Omkar Dastane

Abstract

This empirical investigation aims to determine the factors leading to the adaptation of Taxi Hailing Mobile Apps among Malaysian consumers using the theory of Venkatesh et al. (2003) user theory of acceptance and use of technology (UTAUT). The adopted framework has four independent variables namely performance expectancy, effort expectancy, social influence and facilitating conditions. Dependent variables include behavioural intension and user behaviour. The study follows exploratory research design and quantitative research method. Primary data is collected using online Google survey questionnaire. The target population of this research study is international and local in Malaysia who makes use of taxi hailing app in order to satisfy their transportation needs. Convenience sampling technique is used to collect data from a sample of 202 respondents. Confirmatory Factors Analysis (CFA) and Structural Equation Modelling (SEM) are used in order to answer the research questions. Findings show that Performance expectancy, social influence and behaviour intension has positive influence on user behaviour while effort expectancy and behavioural intension has no influence. For scholars and researchers, understandably this research study opens the gate way of the application of UTAUT on information system (IS) apps that had been recently created.

Suggested Citation

  • Herman Fassou Haba & Omkar Dastane, 2018. "An Empirical Investigation on Taxi Hailing Mobile App Adoption: A Structural Equation Modelling," Business Management and Strategy, Macrothink Institute, vol. 9(1), pages 48-72, December.
    • Handle: RePEc:mth:bmsmti:v:9:y:2018:i:1:p:48-72
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    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. 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.
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    Cited by:

    1. Ravichandra Donni & Omkar Dastane & Herman Fassou Haba & Karthik Selvaraj, 2018. "Consumer Perception Factors for Fashion M-Commerce and its Impact on Loyalty among Working Adults," Business and Economic Research, Macrothink Institute, vol. 8(2), pages 168-192, June.
    2. Maria Kathryne A. Illescas & Ardvin Kester S. Ong & Josephine D. German, 2023. "Online or Traditional Learning at the Near End of the Pandemic: Assessment of Students’ Intentions to Pursue Online Learning in the Philippines," Sustainability, MDPI, vol. 15(8), pages 1-24, April.
    3. Mingyang Du & Lin Cheng & Xuefeng Li & Jingzong Yang, 2019. "Investigating the Influential Factors of Shared Travel Behavior: Comparison between App-Based Third Taxi Service and Free-Floating Bike Sharing in Nanjing, China," Sustainability, MDPI, vol. 11(16), pages 1-18, August.

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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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