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Impact of consumer’s security, benefits and usefulness towards cashless transaction within Malaysian university student

Author

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  • Kawsar Ahmad

    (Department of Economics and Management Sciences, International Islamic University Malaysia, Jalan Gombak,53100 Kuala Lumpur, Malaysia)

  • Arifuzzaman Arifuzzaman

    (Graduate School of Management (GSM), International Islamic University Malaysia, Jalan Gombak, 53100 Kuala Lumpur, Malaysia)

  • Abdullah Al Mamun

    (Department of Information and Communication Technology, International Islamic University Malaysia, Jalan Gombak,53100 Kuala Lumpur, Malaysia)

  • Junayed Md Khaled Bin Oalid

    (Department of Information and Communication Technology, International Islamic University Malaysia, Jalan Gombak,53100 Kuala Lumpur, Malaysia)

Abstract

The main purpose of this study is to evaluate the correlation of perceived security, benefits, and usefulness that has been associate with the cashless transaction attitude. The chosen mode for this research is a quantitative approach. This method is favored because of its simplicity and systematic approach, The primary data were collected by distributing the respondents' questionnaires, A self-administered survey is a questionnaire that was developed exclusively for a respondent. This questionnaire is the most suitable approach for this research because respondents respond comfortably and don't need to make appointments with respondents. However, This study involves 120 participants from several locations in Selangor University, DarulHikmah Library at IIUM in the Gombak area, and Shah Alam area. In the part of the analysis, there is two measurementss that would be tasted in the context of demographic component and assess the relations between the structures and how independent variables affect the dependent variable. On the other hand, the mode of analysis is descriptive statistics and multiple regressions. Also, Both the results are presented by using the statistical tools which are IBM Social Science Statistical Package (SPSS) version 25.0. The findings indicate that the benefits perceived and the adoption of cashless transactions are linked positively and are of perceived importance and acceptance. From the study, this paper discovered that perceived protection correlates negatively. For future research of this subject, a greater variety of independent factors and more detailed models may have been used and further analyses required for the factor analysis. This can lead to further findings that will give the next generation a wider range of knowledge. Key Words: Behaviors of people, Malaysia, Cashless transactions, benefits, security and usefulness.

Suggested Citation

  • Kawsar Ahmad & Arifuzzaman Arifuzzaman & Abdullah Al Mamun & Junayed Md Khaled Bin Oalid, 2021. "Impact of consumer’s security, benefits and usefulness towards cashless transaction within Malaysian university student," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(2), pages 238-250, March.
    • Handle: RePEc:rbs:ijbrss:v:10:y:2021:i:2:p:238-250
    DOI: 10.20525/ijrbs.v10i2.1065
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    References listed on IDEAS

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    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    3. Sanghyun Kim & Gary Garrison, 2009. "Investigating mobile wireless technology adoption: An extension of the technology acceptance model," Information Systems Frontiers, Springer, vol. 11(3), pages 323-333, July.
    4. Chakravorti Sujit, 2003. "Theory of Credit Card Networks: A Survey of the Literature," Review of Network Economics, De Gruyter, vol. 2(2), pages 1-19, June.
    5. 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.
    6. Chou, Yuntsai & Lee, Chiwei & Chung, Jianru, 2004. "Understanding m-commerce payment systems through the analytic hierarchy process," Journal of Business Research, Elsevier, vol. 57(12), pages 1423-1430, December.
    7. Stroborn, Karsten & Heitmann, Annika & Leibold, Kay & Frank, Gerda, 2004. "Internet payments in Germany: a classificatory framework and empirical evidence," Journal of Business Research, Elsevier, vol. 57(12), pages 1431-1437, December.
    8. Armey, Laura E. & Lipow, Jonathan & Webb, Natalie J., 2014. "The impact of electronic financial payments on crime," Information Economics and Policy, Elsevier, vol. 29(C), pages 46-57.
    9. Deniz Kucukusta & Rob Law & Alia Besbes & Patrick Legoherel, 2015. "Re-examining perceived usefulness and ease of use in online booking," Post-Print hal-02868005, HAL.
    10. 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.
    Full references (including those not matched with items on IDEAS)

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