Factors Influencing Consumer’s Behavioural Intention towards the Adoption of Mobile Payment in Kuala Lumpur
DOI:
https://doi.org/10.26668/businessreview/2022.v7i6.e584Keywords:
Business Plans, Development, Mobile Payment, Credibility, Effort ExpectationsAbstract
Purpose: The purpose of the research is to investigate the connection between the adoption of digital payments in Kuala Lumpur and the system's credibility in Kuala Lumpur, Malaysia. The another goal of this study is to investigate the connection between social impact and mobile payment adoption in Kuala Lumpur. In Kuala Lumpur, study the relationship between effort expectation and mobile payment adoption. To determine the association between performance expectation and mobile payment adoption in KL.
Theoretical framework: One of the most well-known study models on customer adoption of new technological systems highlights how particular characteristics effect customer adoption. The idea takes into account things like social influences, credibility requirements, effort expectations, and performance requirements.
Design/methodology/approach: This is descriptive based study. In this research paper to accurately predict consumer behavioral intention to accept mobile payment in Kuala Lumpur, the study selects 100 students representative of the target population using probability-based random sampling.
Findings: Inability to collect information from all Malaysians is the primary justification for using a random sample. Mobile payment acceptance has a high link with expected effort, trustworthiness, and performance, demonstrating that these factors impact adoption. Because the majority of people consider a rapid and dependable mobile payment system to be essential.
Conclusion: Mobile payments are rapid. Their relocation is regular practice. Customers can complete the majority of transactions by just pressing their card to the screen.
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References
Al-Jabri, I., 2016. Attitudes towards mobile banking: Are there any differences between users and non. Behaviour and Information Technology, 33(4), 335–, 33(4), pp. 335-344.
Ariyanti, M. & Manaf Mcom,, . N. R., 2020. Exploring key factors on technology acceptance of mobile payment users in Indone. International Journal of and Management,, 11(2), p. 299.
Davis, f., 2019. (2003) ‘User acceptance of information technology: toward a unified view’,. The Journal of Computer Information system, 27(3), p. 425–478..
Ding, . Y.-H. & Lin, . C.-Y., 2020. Factors Affecting the Behavioral Intention to Adopt Mobile Payment: An Empirical Study in Taiwan. International journal of Mathematics, 2(1), pp. 256-325.
Gliem, J. A., 2021. Calculating, Interpreting, and Reporting Cronbach’s Alpha Reliability Coefficient for Likert-Type Scales, USA: USA.
Griffin , B., Carr , J. & Babin , 2020. Research Methods. 9th Edition. South-Western Cengage Learning,. International journal of business studies , 5(5), pp. 120-290.
Hj Paim, J. & Zendehdel, M., 2018. Predicting intention of mobile internet usage in Malaysia: extending the unified theory ofacceptance and use of technology.. Journal Taylor’s Business Review, 5(1), p. 2232–172.
Hj Paim & Zendehdel, M., 2020. Predicting intention of mobile internet usage in Malaysia: extending the unified theory of acceptance and use of technology. A Contemporary Business. Journal Taylor’s Business Review, , 5(1), p. 2232–172..
Hua , , Salehi-Esfahani & Ozturk AB, 2017. “Understanding the mobile payment technology acceptance based on valence theory”.. International Journal of Contemporary Hospitality Management, ., 29(3), pp. 2027-2049.
Lai , P., , 2016. “Design and Security impact on consumers' single platform E-payment.. Interdisciplinary Information Sciences, , 22(1), pp. 111-22.
Lau, L. & Tan, E., 2020. . (2016). Behavioural intention to adopt mobile banking among the millennial generation. Young Consumers,. Journal of Internet Bank Commerce, 17(1), p. 18–31.
Mansa, J., 2021. investopedia. [En ligne]
Available at: https://www.investopedia.com/ask/answers/032515/what-does-it-mean-if-correlation-coefficient-positive-negative-or-zero.asp [Accès le 07 11 2021].
Mokhtar, . M., Yusoff, Y. & Salimon, M. G., 2019. The influence of e- satisfaction, e-trust and hedonic motivation on the adoption of e-banking and its determinants in Nigeria:. Mediterranean Journal of Social Sciences, 7(1), p. 54–63.
Muhammad, M. & Muhammad, , M., 2018. An analysis of mobile banking acceptence by Malaysian customers.. Sunway Academic Journal, 4(1), pp. 1-12.
Othman, A., Yusoff, R. & Mohtar, S., 2019. Factors affecting mobile adoption companies in Malaysia.. International Journal of Economics and Financial Issues, 5(1), pp. 84-91.
Saunders, , Lewis, P. & Thornhill , A., 2018. Research methodology for business students.. 7 éd. LONDON: London.
Sinha , N., Srivastava , S. & Singh , N., 2017. Consumer preference and satisfaction of M-wallets: a study on North Indian consumers. International Journal of Bank Marketing, , 35(9), pp. 44-65.
Su, . P.-J. & H-P, 2020. ‘Factors affecting purchase intension on mobile shopping websites’,. Internet Research, 19(4), p. .442–458. .
Tella , S. & Ademu J, 2020. “Modelling user trust and mobile payment adoption: a conceptual Framework”.. International journal of Communications of the IBIMA, , 3(29), pp. 224-31.
Yeon, J., Choi, J., Park, J. & Kim, J., 2019. The adoption of mobile payment services for “Fintech”.. Int. J. Appl., 11(3), p. 1058–1061.
Anaesth, A. C., 2021. NCBI. [En ligne]
Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350423/
[Accès le 07 11 2021].
Anon., 2021. Pousttchi, K. A modeling approach and reference models for the analysis of mobile payment use case. International journal of Electron appl, 8(4), p. 182–201.
Arvidsson , N., Markendahl , J. & Apanasevic, J., 2018. Stakeholders' expectations of mobile payment in retail: lessons from Sweden.. International Journal of Bank Marketing, 5(2), pp. 12-34.
Bellaaj, & Albugami, M., 2018. M. (2014). The continued use of internet banking: combining utaut2 theory and service quality model.. Journal of Global Management Research, , 10(1), p. 1–28.
Bhatt, A., 2017. Factors affecting customer ‟ s adoption of mobile. banking services. Journal of Internet Banking and Commerce,, 21(1), pp. 1-22.
Chandran, R., 2016. Pros and cons of mobile banking.. Journal of Scientific and Research Publications, 4(1), p. 2250–.
Ezalin, , M. & Daud, , N. M., 2020. Determining critical success factors of ermining critical success factors. Australian Journal of Basic and Applied Sciences, 5(9), , 5(9), p. 252–265..
Eze , U. & Tella , A., 2019. “Modelling user trust and mobile payment adoption: a conceptual Framework”.. Communications of the IBIMA, , 3(29), pp. 224-31.
Ghalandari, K., 2017. The effect of performance expectancy, effort expectancy, social influence and facilitating conditions onacceptance of e-banking services in iran: the moderating role. Middle-East Journal of Scientific Research , 12(6), p. 801–807..
Jan, k., Shiau & Hwang, R.-J., 2018. new mobile payment scheme for roaming services. Electron. Comme. international journal of business management studiess, 6(1), p. 184–191.
Koksal, , M. H., 2019. The intentions of Lebanese consumers to adopt mobile banking. International Journal of Bank Marketing,. International Journal of Bank Marketing,, 34(3), p. 327–346.
Leiva , M.-., 2017. F“Determinants of intention to use the mobile banking apps: An extension of the classic TAM model”.. Spanish Journal of Marketing-ESIC, 21(1), pp. 25-38.
Mohammed, B., Tarhini, h. & Masa’deh,, R., 2016. Modeling factors affecting student‟s usage behaviour. International Journal of business and managment , 11(2), p. 299.
Ooi , O., Chong , Y. & Marthandan , G., 2017. evaluating the intended use of Decision mobile payment. ”. Journal of Information Systems and Technology Management, , 14(1), pp. 21-38.
Rilling, S., 2019. (2015). Mobile banking acceptance among young consumers in Germany: an empirical analysis, (September). Norwegian. Mediterranean Journal of Social Sciences,, 5(2), pp. 723-896.
Sequeira, , A. & Krishna Kishore, S. V., 2017. An empirical investigation on mobile banking service adoption in rural. International Journal of Information Management, , 26(6), p. 469– 483..
Shankar , K., 2016. Factors affecting mobile banking adoption behaviour in India.. Journal of Internet Bank Commerce, 19(3), , 19(3), pp. 72-89.
SHIN, T. C. & WEI, S. S., 2020. FACTORS INFLUENCING THE ADPOTION OF E-PAYMENT IN KUALA LUMPUR, KUALA LUMPUR: KUALA LUMPUR.
Tahvildari, K. & Honarmand, H., 2017. M. S. (2012). Mobile banking and its benefit.. Arabian Journal of Business and Management, , 2(5), p. 37–40.
Thong & Venkatesh, v., 2019. Consumer acceptance and use of information: extending the unified theory of acceptance and use of technology.. MIS Quarterly 36(1), 157-, 36(1), pp. 157-178.
Thong & Venkatesh, V., 2020. Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology’, MIS Quarterly,. MIS , 36(1), p. .157–178. .
Viswanath, 2019. User acceptance of informatio technology: towards a unified view, MIS Quarterly:. Management Information Systems, 27(3), 4, 27(3), pp. 425-478..
Williams, 2019. Examining consumer adoption of mobile banking in Jordan. Journal of Enterprise Information Management,. Journal of Enterprise Information Management,, 29(1), p. 118 – 139.
Wong, W.-K., 2021. Sciencedirect. [En ligne]
Available at: https://www.sciencedirect.com/topics/social-sciences/multiple-regression
[Accès le 07 11 2021].
Yu , S., 2018. Factors influencing the use of mobile banking: the case of sms-based mobile banking.. Auckland University of Technology, New Zealand., 6(2), pp. 234-345.
Yu, C.-S., 2019. Factors affecting individuals to adopt mobile banking: empirical evidence from the UTAUT model’,. Journal of Electronic Commerce Research, V, 13(2), p. .104–121.
Zhou, T., 2019. An empirical examination of initial trust in mobile banking’, Internet Research,. international journal of business studies , 21(5), p. 527–540.
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