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Investigating the Components of Perceived Risk Factors Affecting Mobile Payment Adoption

Author

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  • Eugene Bland

    (Department of Accounting, Finance, and Business Law, College of Business, Texas A&M University-Corpus Christi, 6300 Ocean Dr., Corpus Christi, TX 78412, USA)

  • Chuleeporn Changchit

    (Department of Decision Sciences and Economics, College of Business, Texas A&M University-Corpus Christi, 6300 Ocean Dr., Corpus Christi, TX 78412, USA)

  • Charles Changchit

    (Department of Decision Sciences and Economics, College of Business, Texas A&M University-Corpus Christi, 6300 Ocean Dr., Corpus Christi, TX 78412, USA)

  • Robert Cutshall

    (Department of Decision Sciences and Economics, College of Business, Texas A&M University-Corpus Christi, 6300 Ocean Dr., Corpus Christi, TX 78412, USA)

  • Long Pham

    (Department of Decision Sciences and Economics, College of Business, Texas A&M University-Corpus Christi, 6300 Ocean Dr., Corpus Christi, TX 78412, USA)

Abstract

As smartphone ownership rapidly expands, mobile payment options are gaining popularity due to the portability and convenience they offer. This study examines attitudes towards adopting mobile payment, focusing on the component risk, which consists of multiple dimensions including performance, financial, time, psychological, and social risks. The study uses a quantitative approach, collecting data through a survey distributed to mobile payment users, with 361 respondents in the United States. The survey instrument includes measures of performance and psychological risk, as well as attitudes towards mobile payment acceptance. Data analysis using SPSS 25.0 and AMOS 24.0 reveals that both performance and psychological risk significantly negatively impact attitudes towards mobile payment acceptance, underscoring the importance of mobile payment service providers implementing effective risk management policies to improve users’ positive attitudes towards their platforms.

Suggested Citation

  • Eugene Bland & Chuleeporn Changchit & Charles Changchit & Robert Cutshall & Long Pham, 2024. "Investigating the Components of Perceived Risk Factors Affecting Mobile Payment Adoption," JRFM, MDPI, vol. 17(6), pages 1-18, May.
  • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:6:p:216-:d:1398449
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    References listed on IDEAS

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    1. Tang, Jia-Wei & Tsai, Pei-Hsuan, 2024. "Exploring critical determinants influencing businesses’ continuous usage of mobile payment in post-pandemic era: Based on the UTAUT2 perspective," Technology in Society, Elsevier, vol. 77(C).
    2. Kaur, Puneet & Dhir, Amandeep & Bodhi, Rahul & Singh, Tripti & Almotairi, Mohammad, 2020. "Why do people use and recommend m-wallets?," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    3. Forsythe, Sandra M. & Shi, Bo, 2003. "Consumer patronage and risk perceptions in Internet shopping," Journal of Business Research, Elsevier, vol. 56(11), pages 867-875, November.
    4. Hameed, Irfan & Akram, Umair & Khan, Yamna & Khan, Naveed R. & Hameed, Imran, 2024. "Exploring consumer mobile payment innovations: An investigation into the relationship between coping theory factors, individual motivations, social influence and word of mouth," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    5. Hien Nguyen & Long Pham & Stan Williamson & Nguyen Duy Hung, 2020. "Individual investors' satisfaction and loyalty in online securities trading using the technology acceptance model," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 19(2), pages 239-266.
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