ISSN: 2222-6990
Open access
Understanding how consumer behaviour influences bank selection is crucial for banks to attract and retain depositors. By examining consumer behavioural factors, banks can customise their strategies to align more effectively with the needs and preferences of their target customers, thereby enhancing both profitability and liquidity. Hence, this research explores the specific factors that Malaysian depositors consider when choosing a bank for their banking activity. This study employs the theory of planned behaviour to determine the links between customer behavioural factors, such as attitude, subjective norms, perceived behavioural control, and bank selection intention among Malaysian depositors. The researchers disseminated 384 questionnaires to Malaysian bank customers to acquire data on depositors' bank-selection intentions. Structural equation modelling results for Malaysian depositors reveal that attitudes, subjective norms, and perceived behavioural control are significantly related to their intentions of bank choice. According to the findings of the research, it seems that customers choose their banks based on their expectations of how their savings and investments would perform. This choice is often influenced by recommendations from those closest to them, as well as the perception of convenient access to banking services and manageable account maintenance expenses. However, future research would benefit from incorporating additional factors, such as financial literacy, risk tolerance, and technological adoption, into the investigation. Analysing the impact of these factors could enrich our understanding of how they interact to shape and mediate the influence of attitude, subjective norms, and perceived behavioural control on bank selection intention.
Adams, S., & De Kock, F. (2015). The role of salient beliefs in graduates' intention to apply. SA Journal of Industrial Psychology, 41(1), 1-11.
Adekiya, A. A., & Gawuna, M. S. (2015). Bank choice determinant factors: A study of university students in metropolitan Kano. International Journal of Management Sciences, 6(4), 154-175.
Aji, H. M., Berakon, I., & Riza, A. F. (2020). The effects of subjective norm and knowledge about riba on intention to use e-money in Indonesia. Journal of Islamic Marketing, 12(6), 1180-1196.
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control (pp. 11-39). Springer, Berlin, Heidelberg.
Ajzen, I. (1989). Attitude structure and behavior. Attitude structure and function, 241, 274.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314-324.
Alhassany, H., & Faisal, F. (2018). Factors influencing the internet banking adoption decision in North Cyprus: an evidence from the partial least square approach of the structural equation modeling. Financial Innovation, 4(1), 1-21.
Ali, M., & Puah, C. H. (2018). The internal determinants of bank profitability and stability: An insight from banking sector of Pakistan. Management Research Review.
Andaleeb, S. S., Rashid, M., & Rahman, Q. A. (2016). A model of customer-centric banking practices for corporate clients in Bangladesh. International Journal of Bank Marketing.
Bathija, A. (2021). Digitalisation in the Banking Sector–the Need for New Customer-Centric Business Models. ???????? ?? ???????? ???????? ???????????, 44(1), 297-313.
Bhutto, M. Y., Liu, X., Soomro, Y. A., Ertz, M., & Baeshen, Y. (2020). Adoption of energy-efficient home appliances: Extending the theory of planned behavior. Sustainability, 13(1), 250.
Blackwell, R. D., Miniard, P. W., & Engel, J. F. (2001). Consumer behavior, 9th Eds. New Youk: Harcourt.
Brand, M., Wegmann, E., Stark, R., Müller, A., Wölfling, K., Robbins, T. W., & Potenza, M. N. (2019). The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors. Neuroscience & Biobehavioral Reviews, 104, 1-10.
Bruner, G. C., & Pomazal, R. J. (1988). Problem recognition: the crucial first stage of the consumer decision process. Journal of Services Marketing, 2(3), 43-53., R. J. (1988). Problem recognition: the crucial first stage of the consumer decision process. Journal of Services Marketing, 2(3), 43-53.
Chang, Y. C., Enkhjargal, U., Huang, C. I., Lin, W. L., & Ho, C. M. (2020). Factors affecting the internet banking adoption. Jurnal Ekonomi Malaysia, 54(3), 117-131.
Choi, Y. J., & Park, J. W. (2020). Investigating factors influencing the behavioral intention of online duty-free shop users. Sustainability, 12(17), 7108.
Cohen, J. (1988). Set correlation and contingency tables. Applied psychological measurement, 12(4), 425-434.
Dick, A. S., & Basu, K. (1994). Customer loyalty: toward an integrated conceptual framework. Journal of the academy of marketing science, 22(2), 99-113.
Ekinci, R., & Poyraz, G. (2019). The effect of credit risk on financial performance of deposit banks in Turkey. Procedia Computer Science, 158, 979-987.
Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1995). Consumer Behaviour. International Edition. Florida.
Eriksson, K., & Hermansson, C. (2018). How relationship attributes affect bank customers’ saving. International Journal of Bank Marketing.
Eriksson, K., Hermansson, C., & Jonsson, S. (2020). The performance generating limitations of the relationship-banking model in the digital era–effects of customers' trust, satisfaction, and loyalty on client-level performance. International Journal of Bank Marketing.
Ferreira, S., & Dickason-Koekemoer, Z. (2020). Analysing the influence of demographics on depositor behaviour. International Journal of Applied Decision Sciences, 13(1), 74-92.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior reading, MA. Addison-Wesley. Ford, RC & Richardson, WD (1994). Ethical decision making: A review of the empirical literature. Journal of Business Ethics, 13, 205-221.
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. Philosophy and Rhetoric, 10(2).
Ghamry, S., & Shamma, H. M. (2022). Factors influencing customer switching behavior in Islamic banks: evidence from Kuwait. Journal of Islamic marketing, 13(3), 688-716.
Giovanis, A., Athanasopoulou, P., Assimakopoulos, C., & Sarmaniotis, C. (2019). Adoption of mobile banking services: A comparative analysis of four competing theoretical models. International Journal of Bank Marketing.
Grundke, P., & Kühn, A. (2020). The impact of the Basel III liquidity ratios on banks: Evidence from a simulation study. The Quarterly Review of Economics and Finance, 75, 167-190.
Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European business review.
Hamid, S., & Bano, N. (2021). Behavioral Intention of Traveling in the period of COVID-19: An application of the Theory of Planned Behavior (TPB) and Perceived Risk. International Journal of Tourism Cities.
Hlatshwayo, L. N., Petersen, M., Petersen, J. M., & Gideon, F. (2013). Basel III, liquidity and bank failure. Banks & bank systems, (8, Iss. 2), 8-24.
Ho, J. C., Wu, C. G., Lee, C. S., & Pham, T. T. T. (2020). Factors affecting the behavioral intention to adopt mobile banking: An international comparison. Technology in Society, 63, 101360.
Hossain, M. R., & Zariyawati, M. (2022). Uncertainty in Working Capital Management and Firm Performance: A COVID-19 Perspective. International Journal of Economics & Management, 16.
Howard, J. A., & Sheth, J. N. (1969). The theory of buyer behavior. New York, 63, 145.
Ibrahim, Y., & Arshad, I. (2017). Examining the impact of product involvement, subjective norm and perceived behavioral control on investment intentions of individual investors in Pakistan. Investment Management and Financial Innovations, 14(4), 181–193. https://doi.org/10.21511/imfi.14(4).2017.15
Kaiser, F. G., & Wilson, M. (2019). The Campbell paradigm as a behavior-predictive reinterpretation of the classical tripartite model of attitudes. European Psychologist.
Kannaiah, D., Masvood, Y., & Choudary, Y. L. (2017). Growth of Islamic banking in India: Discriminant analysis approach. Banks and Bank Systems, 12(4), 175–188. https://doi.org/10.21511/bbs.12(4-1).2017.06
Kaur, B., Kiran, S., Grima, S., & Rupeika-Apoga, R. (2021). Digital banking in Northern India: The risks on customer satisfaction. Risks, 9(11), 209.
Kaur, G., & Quareshi, T. K. (2015). Factors obstructing intentions to trust and purchase products online. Asia pacific journal of marketing and logistics.
Manohar, S., Mittal, A., & Marwah, S. (2019). Service innovation, corporate reputation and word-of-mouth in the banking sector: A test on multigroup-moderated mediation effect. Benchmarking: An International Journal, 27(1), 406-429.
Mitik, M., Korkmaz, O., Karagoz, P., Toroslu, I. H., & Yucel, F. (2017). Data mining approach for direct marketing of banking products with profit/cost analysis. The Review of Socionetwork Strategies, 11(1), 17-31.
Nguyen, D. T., Pham, V. T., Tran, D. M., & Pham, D. B. T. (2020). Impact of service quality, customer satisfaction and switching costs on customer loyalty. The Journal of Asian Finance, Economics and Business, 7(8), 395-405.
Nunnally, J. C. (1978). An overview of psychological measurement. Clinical diagnosis of mental disorders, 97-146.
O. Ighomereho, S., & S. Sajuyigbe, A. (2022). Mediating role of perceived service quality between behavioral characteristics, security risk and internet banking usage. Banks and Bank Systems, 17(2), 75–85. https://doi.org/10.21511/bbs.17(2).2022.07
Olsson, F., & Gall, G. (2012). How do the predictors of switching intention influence switching behavior?: A quantitative study of students’ switching behavior in the retail banking context.
Owusu, G. M. Y., Bekoe, R. A., Addo-Yobo, A. A., & Otieku, J. (2021). Mobile banking adoption among the Ghanaian youth. Journal of African business, 22(3), 339-360.
Pakurár, M., Haddad, H., Nagy, J., Popp, J., & Oláh, J. (2019). The service quality dimensions that affect customer satisfaction in the Jordanian banking sector. Sustainability, 11(4), 1113.
Raut, R. K. (2020). Past behaviour, financial literacy and investment decision-making process of individual investors. International Journal of Emerging Markets.
Rejón-Guardia, F., Polo-Peña, A. I., & Maraver-Tarifa, G. (2020). The acceptance of a personal learning environment based on Google apps: The role of subjective norms and social image. Journal of Computing in Higher Education, 32, 203-233.
Ruefenacht, M., Schlager, T., Maas, P., & Puustinen, P. (2015). Drivers of long-term savings behavior from the consumers’ perspective. International Journal of Bank Marketing.
Saleh, I., & Abu Afifa, M. (2020). The effect of credit risk, liquidity risk and bank capital on bank profitability: Evidence from an emerging market. Cogent Economics & Finance, 8(1), 1814509.
Saleki, R., Quoquab, F., & Mohammad, J. (2020). Factor affecting consumer's intention to purchase organic food: empirical study from Malaysian context. International Journal of Business Innovation and Research, 23(2), 183-204.
Salem, M. Z., Baidoun, S., & Walsh, G. (2019). Factors affecting Palestinian customers’ use of online banking services. International Journal of Bank Marketing.
Sharma, R., & Mishra, R. (2014). A review of evolution of theories and models of technology adoption. Indore Management Journal, 6(2), 17-29.
Simon, H. A. (1990). Bounded rationality. In Utility and probability (pp. 15-18). Palgrave Macmillan, London.
Tandon, A., Dhir, A., Kaur, P., Kushwah, S., & Salo, J. (2020). Why do people buy organic food? The moderating role of environmental concerns and trust. Journal of Retailing and Consumer Services, 57, 102247.
Teka, B. M. (2020). Factors affecting bank customers usage of electronic banking in Ethiopia: Application of structural equation modeling (SEM). Cogent Economics & Finance, 8(1), 1762285.
Tucker, M., Jubb, C., & Yap, C. J. (2019). The theory of planned behaviour and student banking in Australia. International Journal of Bank Marketing.
Yadav, R., & Pathak, G. S. (2017). Determinants of consumers' green purchase behavior in a developing nation: Applying and extending the theory of planned behavior. Ecological economics, 134, 114-122.
Yen, C., & Chang, C. M. (2015). Unity is Strength: Understanding Users’ Group Buying Behaviour In Taiwan From a Collectivism Perspective. Journal of Electronic Commerce Research, 16(2), 109.
Zariyawati, M. A., & Reyad, H. M. (2022). Changes of working capital management and firm value in Thailand and Singapore. Global Business and Economics Review, 27(2), 149-166.
Zhang, Z., Zhu, Y., Zhang, L., & Wan, H. (2018). What factors influence exclusive breastfeeding based on the theory of planned behaviour. Midwifery, 62, 177-182.
(Zariyawati et al., 2023)
Zariyawati, M. A., Reyad, H. M., & Fatini, A. (2023). Determinants of Bank Selection by Depositors Based on Consumer Behavioural Factors. International Journal of Academic Research in Business and Social Sciences, 13(12), 6004-6021.
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