The Factors Influencing Consumer Intentions to Use Internet Banking and Apps: A Case of Banks in Cambodia
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33104
The Factors Influencing Consumer Intentions to Use Internet Banking and Apps: A Case of Banks in Cambodia

Authors: Tithdanin Chav, Phichhang Ou

Abstract:

The study is about the e-banking consumer behavior of five major banks in Cambodia. This work aims to examine the relationships among job relevance, trust, mobility, perceived ease of use, perceived usefulness, attitude toward using, and intention to use of internet banking and apps. Also, the research develops and tests a conceptual model of intention to use internet banking by integrating the Technology Acceptance Model (TAM) and job relevance, trust, and mobility which were supported by Theory of Reasoned Action (TRA) and Theory of Planned Behavior (TPB). The proposed model was tested using Structural Equation Modeling (SEM), which was processed by using SPSS and AMOS with a sample size of 250 e-banking users. The results showed that there is a significant positive relationship among variables and attitudes toward using internet banking, and apps are the most factor influencing consumers’ intention to use internet banking and apps with the importance level in SEM 0.82 accounted by 82%. Significantly, all six hypotheses were accepted.

Keywords: Bank Apps, consumer intention, internet banking, technology acceptance model.

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 967

References:


[1] Aliyu, A. A., Rosmain, T., & Takala, J. (2014). Online banking and customer service delivery in Malaysia: data screening and preliminary findings. Procedia-Social and Behavioral Sciences, 129, 562-570.
[2] Anthony, T. T. W. (2018). A Study of the relationships of customer satisfaction and brand loyalty to purchase intention on freeze-dried fruits. Journal of Global Economics, Management and Business Research, 1-8.
[3] Birks, D. F., & Malhotra, N. K. (2006). Marketing Research: an applied approach: Pearson Education UK.
[4] Bowerman, B. L., O’Connell, R. T., Murpree, E., & Orris, J. (2013). İşletme İstatistiğinin Temelleri. Çeviren: Neyran Orhunbilge, Nobel, Ankara, 723s.
[5] Chau, P. Y., & Lai, V. S. (2003). An empirical investigation of the determinants of user acceptance of internet banking. Journal of organizational computing and electronic commerce, 13(2), 123-145.
[6] Daştan, İ., & Gürler, C. (2016). Factors affecting the adoption of mobile payment systems: An empirical analysis. EMAJ: Emerging Markets Journal, 6(1), 17-24.
[7] Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
[8] Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International journal of man-machine studies, 38(3), 475-487.
[9] Jun, M., & Cai, S. (2001). The key determinants of internet banking service quality: a content analysis. International journal of bank marketing, 19(7), 276-291.
[10] Kerem, K. (2003). Adoption of electronic banking: underlying consumer behaviour and critical success factors. Case of Estonia. PRAXIS Center for Policy Studies.
[11] Lambert, S. C., & Davidson, R. A. (2013). Applications of the business model in studies of enterprise success, innovation and classification: An analysis of empirical research from 1996 to 2010. European management journal, 31(6), 668-681.
[12] Martinsons, M. G. (2008). Relationship‐based e‐commerce: theory and evidence from China. Information Systems Journal, 18(4), 331-356.
[13] Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of management review, 20(3), 709-734.
[14] Medyawati, H., Christiyanti, M., & Yunanto, M. (2011). E-banking adoption analysis using technology acceptance model (TAM): Empirical study of bank customers in Bekasi city. International Co/! ference 011lllnovatioll, Mallagemellt and Service, 14.
[15] Napitupulu, D., Rahim, R., Abdullah, D., Setiawan, M. I., Abdillah, L. A., Ahmar, A. S., . . . Pranolo, A. (2018). Analysis of student satisfaction toward quality of service facility. Paper presented at the Journal of Physics: Conference Series.
[16] Pousttchi, K., & Wiedemann, D. G. (2007). What influences consumers’ intention to use mobile payments. LA Global Mobility Round table, 1-16.
[17] Shabbir, M. F., Aslam, D., Capusneanu, S., Barbu, C. M., & Tanveer, M. A. (2012). Perceived service quality of Islamic and non-Islamic banks operating in Pakistan. American journal of scientific Research, 51, 27-36.
[18] Suh, B., & Han, I. (2002). Effect of trust on customer acceptance of Internet banking. Electronic Commerce research and applications, 1(3-4), 247-263.
[19] Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176.
[20] Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
[21] Walker, R. H., & Johnson, L. W. (2006). Why consumers use and do not use technology-enabled services. Journal of services Marketing, 20(2), 125-135.
[22] Yahyapour, N. (2008). Determining factors affecting Internet to adopt banking recommender system. Division of Industrial Marketing and E-commerce, Master’s thesis, 36, 31-48.