Journal Screenshot

International Journal of Academic Research in Accounting, Finance and Management Sciences

Open Access Journal

ISSN: 2225-8329

Determinants of Mobile Commerce Services Adoption by Malaysian Users

Zurina Patrick, Chin Shu Qi, Alesia Sigang Gugkang, Geoffrey Harvey Tanakinjal

http://dx.doi.org/10.6007/IJARAFMS/v12-i3/14959

Open access

This study aims to determine the factors that influence mobile commerce (m-commerce) services among Malaysian users. The independent variables of this study are perceived usefulness (PU), perceived ease of use (PEoU), perceived trust (PT), and perceived self-efficacy (PSE) while the dependent variable is the adoption of m-commerce services (A). This study employs a quantitative, cross-sectional methodology for its research design. An online survey questionnaire was employed to collect data and yield 200 responses. The findings discovered that PU, PEoU, and PSE significantly influenced the adoption of m-commerce services. This research can provide essential information to companies involved in m-commerce to continuously focus on improving the usefulness of the system, ease of use (i.e., access and usability), and user self-efficacy to rise the adoption of m-commerce in Malaysia. The findings also contributed in terms of allowing researchers to understand the factors that can contribute to the intention to use m-commerce, particularly in the Malaysian context.

Adapa, A., Nah, F. F.-H., Hall, R. H., Siau, K., & Smith, S. N. (2017). Factors Influencing the Adoption of Smart Wearable Devices. International Journal of Human–Computer Interaction, 34(5), 399–409.
Agarwal, R., & Prasad, J. (1998). A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology. Information Systems Research, 9(2), 204–215.
Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Simintiras, A. C. (2016). Jordanian consumers’ adoption of telebanking: Influence of perceived usefulness, trust and self-efficacy. International Journal of Bank Marketing, 34(5), 690–709.
Alfurayji, A., Alzahrani, S., & Almaatouq, A. (2022). Assessing the Key Factors Impacting the Customers Adoption of the Electronic Banks in Saudi Arabia. 2022 IEEE Technology and Engineering Management Conference (TEMSCON EUROPE), 192–197.
Arnett, J. (2016). Does Emerging Adulthood Theory Apply Across Social Classes? National Data on a Persistent Question. Emerging Adulthood, 4(4), 227–235.
Ashraf, A. R., Thongpapanl, N. (Tek), & Auh, S. (2014). The Application of the Technology Acceptance Model under Different Cultural Contexts: The Case of Online Shopping Adoption. Journal of International Marketing, 22(3), 68–93.
Barry, M., & Jan, M. (2018). Factors influencing the use of M-commerce: An extended technology acceptance model perspective. Undefined, 26, 157–183.
Belete, S., & Tsegaye, M. (2018). Does behavior of clients matter in adoption of internet banking? Evidence from Commercial Bank of Ethiopia. Journal of Economics and International Finance, 10(6), 58–64.
Chen, Y. (2020). Research on personalized recommendation algorithm based on user preference in mobile e-commerce. Information Systems and E-Business Management, 18(4), 837–850.
Chille, B. F., Shayo, F., & Kara, N. (2021). The Effects of Perceived Trust and Ease of Use on Adoption of Mobile Marketing in the Telecommunication Industry of Tanzania. American Academic Scientific Research Journal for Engineering, Technology, and Sciences, 76(1), 155–168.
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study. Information Systems Research, 14(2), 189–217.
Coskun, M., Saygili, E., & Karahan, M. O. (2022). Exploring Online Payment System Adoption Factors in the Age of COVID-19—Evidence from the Turkish Banking Industry. International Journal of Financial Studies, 10(2), 39.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.
Dzaka, D., Aboagye, O., & Seth, A. (2015). Re-Defining the Future of Commerce: Mobile Commerce and the Emergence of Sixth Sense Technology. Singaporean Journal of Business , Economics and Management Studies, 3(11), 1–8.
Finkelstein, A., Harman, M., Jia, Y., Martin, W., Sarro, F., & Zhang, Y. (2017). Investigating the relationship between price, rating, and popularity in the Blackberry World App Store. Information and Software Technology, 87, 119–139.
Gitau, L., & Nzuki, D. (2014). Analysis of Determinants of M - Commerce Adoption by Online Consumers. International Journal of Business, Humanities and Technology, Vol. 4, No. 3?;, 88–94.
Gull, H., Saeed, S., Iqbal, S. Z., Bamarouf, Y. A., Alqahtani, M. A., Alabbad, D. A., Saqib, M., Al Qahtani, S. H., & Alamer, A. (2022). An Empirical Study of Mobile Commerce and Customers Security Perception in Saudi Arabia. Electronics, 11(3), 293.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publications, Inc.
Han, S.-L., Thao, N., & Anh, N. (2016). Antecedents of intention and usage toward customers’ mobile commerce: Evidence in Vietnam. Journal of Global Scholars of Marketing Science, 26(2), 129–151.
Hsiao, C.-H., Chang, J.-J., & Tang, K.-Y. (2016). Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives. Telematics and Informatics, 33(2), 342–355.
Indarsin, T., & Ali, H. (2017). Attitude toward Using m-Commerce: The Analysis of Perceived Usefulness, Perceived Ease of Use, and Perceived Trust: Case Study in Ikens Wholesale Trade, Jakarta – Indonesia. Saudi Journal of Business and Management Studies, 2(11), 995–1007.
Islam, Md. A., Khan, M., Ramayah, T., & Hossain, M. (2011). The Adoption of Mobile Commerce Service among Employed Mobile Phone Users in Bangladesh: Self-efficacy as a Moderator. International Business Research, 4.
Kargeti, H., Singh, V., Paul, S. N., & Sagar, V. (2022). Assessment of M-commerce adoption and buying behaviour among youngsters using TAM model. International Journal of Business Innovation and Research, 27(3), 395.
Knezevic, B., & Delic, M. (2017). Young Consumers’ Perception of Problems and Usefulness of Mobile Shopping Applications. Entrepreneurial Business and Economics Review, 5(1), 43–58.
Kucukusta, D., Law, R., Besbes, A., & Legoherel, P. (2015). Re-examining perceived usefulness and ease of use in online booking: The case of Hong Kong online users. International Journal of Contemporary Hospitality Management, 27(2), 185–198.
Kurnianingsih, W. (2022). Shopeepay Mobile Payment Adoption Analysis Using the UTAUT Model Approach (Case Study at AMIKOM University Yogyakarta). Indonesian Journal of Business Intelligence (IJUBI), 5(1), 61–69.
Lu, J. (2014). Lu, J. (2014). Are Personal Innovativeness and Social Influence Critical to Continue with Mobile Commerce? Internet Research, 24(2). Internet Research, 24(2), 134–159.
Lu, J., Yu, C., Liu, C., & Yao, J. E. (2003). Technology acceptance model for wireless Internet. Internet Research, 13(3), 206–222.
Marcom, C. (2020). Ecommerce in Malaysia: Growth, Trends & Opportunities. Capillary Blog. https://www.capillarytech.com/blog/capillary/ecommerce/ecommerce-in-malaysia-growth/
Okafor, D. J., Nico, M., & Azman, B. B. (2016). The influence of perceived ease of use and perceived usefulness on the intention to use a suggested online advertising workflow. Canadian International Journal of Science and Technology, 6(14), 162–174.
Patrick, Z., & Hee, O. (2021). Affiliate Marketing in SMEs: The Moderating Effect of Developmental Culture. Pertanika Journal of Social Sciences and Humanities, 29.
Rahman, M. M., & Sloan, T. (2017). User adoption of mobile commerce in Bangladesh: Integrating perceived risk, perceived cost and personal awareness with TAM. The International Technology Management Review, 6(3), 103–124.
Ramachandran, A. T., Ahmad, N., Miskon, S., & Iahad, N. A. (2019). Factors Influencing the Adoption of Social Media in Service Sector Small and Medium Enterprises (SMEs). Advances in Intelligent Systems and Computing, 1073, 917–925.
Ramezaninia, M., Panahifar, F., & Sarhangi, N. H. (2022). Significant factors affecting m-banking adoption case study: Higher education institutions in Tehran. International Journal of Electronic Business, 17(1), 61–86.
Riquelme, H., & Rios, R. (2010). The moderating effect of gender in the adoption of mobile banking. The International Journal of Bank Marketing, 28(5), 328–341.
Shin, N., Kim, D., Park, S., & Oh, J. (2018). The moderation effects of mobile technology advancement and system barrier on m-commerce channel preference behavior. Information Systems and E-Business Management, 16(11), 1–30.
Singh, S., & Srivastava, S. (2020). Exploring the moderating role of product type in Indian m-commerce fashion and electronics market. International Journal of Logistics Systems and Management, 36(1), 61–91.
Singh, S., Zolkepli, I. A., & Kit, C. W. (2018). New wave in mobile commerce adoption via mobile applications in Malaysian market: Investigating the relationship between consumer acceptance, trust, and self-efficacy. International Journal of Interactive Mobile Technologies, 12(7), 112–128.
Taherdoost, H. (2016). Sampling Methods in Research Methodology; How to Choose a Sampling Technique for Research. International Journal of Academic Research in Management, 5, 18–27.
Taneja, B. (2021). The Digital Edge for M-Commerce to Replace E-Commerce [Chapter]. Emerging Challenges, Solutions, and Best Practices for Digital Enterprise Transformation; IGI Global.
Thakur, R., & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3), 369–392.
Wei, T., Marthandan, G., Chong, Y. A., Ooi, K., & Arumugam, S. (2009). What drives Malaysian m?commerce adoption? An empirical analysis. Industrial Management & Data Systems, 109(3), 370–388.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157–178.
Zhu, G., Sangwan, S., & Lu, T. (2010). A new theoretical framework of technology acceptance and empirical investigation on self?efficacy?based value adoption model. Nankai Business Review International, 1, 345–372.

In-Text Citation: (Patrick et al., 2022)
To Cite this Article: Patrick, Z., Qi, C. S., Gugkang, A. S., & Tanakinjal, G. H. (2022). Determinants of Mobile Commerce Services Adoption by Malaysian Users. International Journal of Academic Research in Accounting Finance and Management Sciences, 12(3), 641–652.