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Exploring Factors Affecting the Mobile Commerce Adoption Among University Students in Malaysia

Author

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  • Nurul Labanihuda Abdull Rahman

    (Universiti Teknologi MARA, Malaysia Author-2-Name: Farah Lina Azizan Author-2-Workplace-Name: Universiti Teknologi MARA, Malaysia Author-3-Name: Shahizan Hassan Author-3-Workplace-Name: School of Business Management, Universiti Utara, Malaysia 06010 Sintok, Kedah, Malaysia Author-4-Name: Dahlia Ibrahim Author-4-Workplace-Name: Faculty of Business and Management, Universiti Teknologi MARA, Cawangan Kedah, Kampus Merbok, 08400 Merbok, Kedah, Malaysia Author-5-Name: Author-5-Workplace-Name: Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:)

Abstract

"Objective - The purpose of this study is to present a conceptual framework for implementing mobile commerce utilising the TAM model and the application of Individual-Collectivism at the Individual Level (ICAIL) as a moderating variable in the context of mobile commerce in Malaysia. Methodology - The data for this study were collected from 550 randomly selected students from four Malaysian institutions using a self-administered questionnaire. Findings - The study found that images significantly correlate with the perceived usefulness variable. In contrast, the relationships between subjective norm, output quality, and outcome demonstrability are not significant, and anxiety has a weak relationship with perceived ease of use, playfulness, perception of external control, and self-efficacy indicates significant relationships. Novelty - Subjective norm is related to the image in a substantial way, whereas perceived utility does not affect behaviour. Furthermore, no significant link was found between the moderating variable, ICAIL, and perceived utility, perceived ease of use, subjective norm, or behavioural intention. This study investigated mobile commerce and the use of the ICAIL, which provides information progress for mobile commerce enterprises, service providers, financial institutions, and governments. Type of Paper - Empirical"

Suggested Citation

  • Nurul Labanihuda Abdull Rahman, 2022. "Exploring Factors Affecting the Mobile Commerce Adoption Among University Students in Malaysia ," GATR Journals jber229, Global Academy of Training and Research (GATR) Enterprise.
    • Handle: RePEc:gtr:gatrjs:jber229
    DOI: https://doi.org/10.35609/jber.2022.7.3(1)
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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. Teo, T. S. H. & Pok, Siau Heong, 2003. "Adoption of WAP-enabled mobile phones among Internet users," Omega, Elsevier, vol. 31(6), pages 483-498, December.
    3. 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.
    4. 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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    More about this item

    Keywords

    M-commerce; Technology Acceptance Model; Individual-Collectivism at Individual level; Perceived Ease of Use; Perceived Usefulness;
    All these keywords.

    JEL classification:

    • F1 - International Economics - - Trade
    • F10 - International Economics - - Trade - - - General
    • F19 - International Economics - - Trade - - - Other

    NEP fields

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