Perception and prediction of intention to use online banking systems
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Keywords

Online banking, Emerging economies, Extended TAM, Intention to use, Bangladesh.

How to Cite

Hossain, S. A., Bao, Y., Hasan, N., & Islam, M. F. (2020). Perception and prediction of intention to use online banking systems. International Journal of Research in Business and Social Science (2147- 4478), 9(1), 112-116. https://doi.org/10.20525/ijrbs.v9i1.591

Abstract

Online banking has become a vital instrument for delivering quality and easily reached banking services at the lowest possible time with ensuring affordability both for customers and service providers. Although this banking has huge potentials and benefits, the successful adoption of online banking remains a significant challenge in the context of an emerging economy like Bangladesh. The purpose of this empirical study is to investigate the factors influencing the online banking services adoption in Bangladesh by using the extended Technology Acceptance Model (TAM) with government support and risk factors. A questionnaire survey method was used to collect data from 380 banking customers.  To analyse the collected survey data and test the set of hypothesis, a structural equation modelling (SEM) method was used with the help of SmartPLS3 package. The results illustrate that perceived ease of use, perceived usefulness, attitude towards use, government support positively influence the intention to use as well as the intention to use positively impact on intention to continue to the adoption of online banking services. However, the relationship between risk and intention to use was statistically insignificant. Finally, the findings may assist banking professionals and programmers to develop and design successful policies regarding online banking services to boost this service industry in the future.

https://doi.org/10.20525/ijrbs.v9i1.591
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References

Agarwal, R., & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision sciences, 30(2), 361-391.

Al-Somali, S. A., Gholami, R., & Clegg, B. (2009). An investigation into the acceptance of online banking in Saudi Arabia. Technovation, 29(2), 130-141.https://doi.org/10.1016/j.technovation.2008.07.004

Allen, M. W., & Craig, C. A. (2016). Rethinking corporate social responsibility in the age of climate change: a communication perspective. International Journal of Corporate Social Responsibility, 1(1), 1. doi:10.1186/s40991-016-0002-8

Alsajjan, B., & Dennis, C. (2010). Internet banking acceptance model: Cross-market examination. Journal of Business Research, 63(9), 957-963. doi:https://doi.org/10.1016/j.jbusres.2008.12.014

Amin, H. (2007). Internet banking adoption among young intellectuals. The Journal of Internet Banking Commerce, 12(3), 1-13.

Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for information Systems, 8(4), 3.

Bhattacherjee, A., Perols, J., & Sanford, C. (2008). Information technology continuance: A theoretic extension and empirical test. Journal of Computer Information Systems, 49(1), 17-26.

Bhuiyan, M. S. R., & Rahman, M. M. (2013). Implementation of mobile banking in Bangladesh: opportunities and challenges. IOSR journal of Electronics Communication Engineering 15(4), 53-58.

Chang, H.-H., Chou, H.-W., Yin, C.-P., & Lin, C. I. (2011). ERP Post-Implementation Learning, ERP Usage And Individual Performance Impact. Paper presented at the PACIS.

Chau, P. Y. K., & Lai, V. S. K. (2003). An Empirical Investigation of the Determinants of User Acceptance of Internet Banking. Journal of Organizational Computing and Electronic Commerce, 13(2), 123-145. doi:10.1207/S15327744JOCE1302_3

Cheng, T. C. E., Lam, D. Y. C., & Yeung, A. C. L. (2006). Adoption of internet banking: An empirical study in Hong Kong. Decision Support Systems, 42(3), 1558-1572. doi:https://doi.org/10.1016/j.dss.2006.01.002

Chin, W. W., & Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. Statistical strategies for small sample research, 1(1), 307-341.

Chiu, C.-M., Hsu, M.-H., Lai, H., & Chang, C.-M. J. D. S. S. (2012). Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents. Decision Support Systems, 53(4), 835-845. https://doi.org/10.1016/j.dss.2012.05.021

Chou, S.-W., & Chang, Y.-C. (2008). The implementation factors that influence the ERP (enterprise resource planning) benefits. Decision Support Systems, 46(1), 149-157. doi:https://doi.org/10.1016/j.dss.2008.06.003

Compeau, D. R., & Higgins, C. A. J. M. q. (1995). Computer self-efficacy: Development of a measure and initial test. 189-211.

Daniel, E. (1999). Provision of electronic banking in the UK and the Republic of Ireland. International Journal of Bank Marketing, 17(2), 72-83. doi:10.1108/02652329910258934

Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Massachusetts Institute of Technology,

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.

Ege Oruç, Ö., & Tatar, Ç. (2017). An investigation of factors that affect internet banking usage based on structural equation modeling. Computers in Human Behavior, 66, 232-235. doi:https://doi.org/10.1016/j.chb.2016.09.059

Eriksson, K. (2005). Customer acceptance of internet banking in Estonia. International Journal of Bank Marketing, 23(2), 200-216. doi:10.1108/02652320510584412

Fogg, B. J. (2002). Persuasive technology: using computers to change what we think and do. Ubiquity, 2002(December), 5.

Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50. doi:10.1177/002224378101800104

Gate, B. (2008). Banking is Essential, Banks are No". Retrieved from https://www.slideshare.net/Carolederks/banking-is-essential-banks-are-not-presentation

Goodhue, D., Lewis, W., & Thompson, R. (2006). PLS, small sample size, and statistical power in MIS research. Paper presented at the Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

Gounaris, S. (2008). Investigating the drivers of internet banking adoption decision. International Journal of Bank Marketing, 26(5), 282-304. doi:10.1108/02652320810894370

Grabner-Kräuter, S., & Faullant, R. J. I. J. o. b. m. (2008). Consumer acceptance of internet banking: the influence of internet trust. 26(7), 483-504.

Guraău, C. (2002). Online banking in transition economies: the implementation and development of online banking systems in Romania. International Journal of Bank Marketing, 20(6), 285-296. doi:10.1108/02652320210446742

Ha, Y. M., & Ahn, H. J. (2014). Factors affecting the performance of Enterprise Resource Planning (ERP) systems in the post-implementation stage. Behaviour & Information Technology, 33(10), 1065-1081.

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (Vol. 6). In: Upper Saddle River, NJ: Pearson Prentice Hall.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139-152. doi:10.2753/MTP1069-6679190202

Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414-433. doi:10.1007/s11747-011-0261-6

Hasan, A. S., Baten, M. A., Kamil, A. A., & Parveen, S. (2010). Adoption of e-banking in Bangladesh: An exploratory study. African journal of business management, 4(13), 2718-2727.

Hasan, N., Miah, S. J., Bao, Y., & Hoque, M. R. (2019). Factors affecting post-implementation success of enterprise resource planning systems: a perspective of business process performance. Enterprise Information Systems, 13(9), 1-28 doi:10.1080/17517575.2019.1612099

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. doi:10.1007/s11747-014-0403-8

Hernández, J. J. U. d. G. (2010). Análisis y modelización del comportamiento de uso de las herramientas Travel 2.0.

Herrero, A., & San Martín, H. (2012). Effects of the risk sources and user involvement on e-commerce adoption: application to tourist services. Journal of Risk Research, 15(7), 841-855. doi:10.1080/13669877.2012.666758

Herrero Crespo, A., & Rodriguez del Bosque, I. (2010). The influence of the commercial features of the Internet on the adoption of e-commerce by consumers. Electronic Commerce Research and Applications, 9(6), 562-575. doi:https://doi.org/10.1016/j.elerap.2010.04.006

Howcroft, B. (2002). Consumer attitude and the usage and adoption of home‐based banking in the United Kingdom. International Journal of Bank Marketing, 20(3), 111-121. doi:10.1108/02652320210424205

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.

Hua, G. (2009). An experimental investigation of online banking adoption in China. Journal of Internet Banking and Commerce, 14(1).

Ibrahim Essam, E. (2006). Customers' perception of electronic service delivery in the UK retail banking sector. International Journal of Bank Marketing, 24(7), 475-493. doi:10.1108/02652320610712094

Ikram Ullah, K., Zahid, H., & Safeer Ullah, K. (2017). Understanding Online Banking Adoption in a Developing Country: UTAUT2 with Cultural Moderators. Journal of Global Information Management (JGIM), 25(1), 43-65. doi:10.4018/JGIM.2017010103

Islam, K. A., & Salma, U. (2014). Customer satisfaction of Internet banking in Bangladesh: A case study on Citibank NA. Asian Journal Of Applied Science And Engineering, 3(1), 51-62.

Jahangir, N., & Parvez, N. (2012). Factors determining customer adaptation to internet banking in the context of private commercial banks of Bangladesh. Business Perspectives and Research, 1(1), 25-36.

Jeyaraj, A., Rottman, J. W., & Lacity, M. C. (2006). A Review of the Predictors, Linkages, and Biases in IT Innovation Adoption Research. Journal of Information Technology, 21(1), 1-23. doi:10.1057/palgrave.jit.2000056

Kamarulzaman, Y. (2007). Adoption of travel e‐shopping in the UK. International Journal of Retail & Distribution Management, 35(9), 703-719. doi:10.1108/09590550710773255

Khan, A. P., Khan, S., & Xiang, I. A. R. (2017). Factors Influencing Consumer Intentions to Adopt Online Banking in Malaysia. Business Economic Review 9(2), 101-134.

Kolodinsky Jane, M. (2004). The adoption of electronic banking technologies by US consumers. International Journal of Bank Marketing, 22(4), 238-259. doi:10.1108/02652320410542536

Lai, V. S., & Li, H. (2005). Technology acceptance model for internet banking: an invariance analysis. Information & Management, 42(2), 373-386. doi:https://doi.org/10.1016/j.im.2004.01.007

Lavenja, C., & Hatammimi, J. (2015). Factors Affecting the Intention to Reuse Mobile Banking Service. International Journal of Research in Business and Social Science, 4, 2147-4478. doi:10.20525/ijrbs.v4i4.15

Lee, G. G. (2005). Customer perceptions of e‐service quality in online shopping. International Journal of Retail & Distribution Management, 33(2), 161-176. doi:10.1108/09590550510581485

Liao, S., Shao, Y. P., Wang, H., & Chen, A. (1999). The adoption of virtual banking: an empirical study. International Journal of Information Management, 19(1), 63-74. doi:https://doi.org/10.1016/S0268-4012(98)00047-4

Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). The moderating effect of experience in the adoption of mobile payment tools in Virtual Social Networks: The m-Payment Acceptance Model in Virtual Social Networks (MPAM-VSN). International Journal of Information Management, 34(2), 151-166.

Littler, D., & Melanthiou, D. (2006). Consumer perceptions of risk and uncertainty and the implications for behaviour towards innovative retail services: The case of Internet Banking. Journal of Retailing and Consumer Services, 13(6), 431-443. doi:https://doi.org/10.1016/j.jretconser.2006.02.006

Mattila, M. (2003). Internet banking adoption among mature customers: early majority or laggards? Journal of Services Marketing, 17(5), 514-528. doi:10.1108/08876040310486294

Mauro, C. H. J. (2007). Adoption of internet banking: proposition and implementation of an integrated methodology approach. International Journal of Bank Marketing, 25(2), 72-88. doi:10.1108/02652320710728410

Mols Niels, P. (1999). Distribution channel strategies in Danish retail banking. International Journal of Retail & Distribution Management, 27(1), 37-47. doi:10.1108/09590559910252694

Muñoz-Leiva, F., Climent-Climent, S., & Liébana-Cabanillas, F. (2017). Determinants of intention to use the mobile banking apps: An extension of the classic TAM model. Spanish Journal of Marketing - ESIC, 21(1), 25-38. doi:https://doi.org/10.1016/j.sjme.2016.12.001

Munoz-Leiva, F., Hernández-Méndez, J., & Sánchez-Fernández, J. (2012). Generalising user behaviour in online travel sites through the Travel 2.0 website acceptance model. Online Information Review, 36(6), 879-902.

Namahoot Kanokkarn, S. (2018). Assessing the intentions to use internet banking: The role of perceived risk and trust as mediating factors. International Journal of Bank Marketing, 36(2), 256-276. doi:10.1108/IJBM-11-2016-0159

Ndubisi, N. O. (2003). Understanding strategic use of IT in small & medium-sized businesses: examining push factors and user characteristics. Paper presented at the Allied Academies International Conference. Academy of Strategic Management. Proceedings.

Nunnally, J. C., & Bernstein, I. (1994). Psychometric Theory (McGraw-Hill Series in Psychology) (Vol. 3): McGraw-Hill New York.

Pavlou, P. A. (2002). A theory of planned behavior perspective to the consumer adoption of electronic commerce. MIS Quarterly, 30(1), 115-143.

Pikkarainen, T. (2004). Consumer acceptance of online banking: an extension of the technology acceptance model. Internet Research, 14(3), 224-235. doi:10.1108/10662240410542652

Polasik, M. a. W., P.T. (2009). Empirical analysis of internet banking adoption in Poland. International Journal of Bank Marketing,, 27(1), 32-52.

Rahi, S., Ghani, M., Alnaser, F., & Ngah, A. (2018). Investigating the role of unified theory of acceptance and use of technology (UTAUT) in internet banking adoption context. Management Science Letters, 8, 173-186. doi:10.5267/j.msl.2018.1.001

Rahman, H., Uddin, N., & Siddiqui, S. A. (2012). Problems and Prospects of E-Banking in Bangladesh. International Journal of Scientific and Research Publications, 2(7), 1.

Rahman, M., Saha, N. K., Sarker, M. N. I., Sultana, A., & Prodhan, A. (2017). Problems and prospects of electronic banking in Bangladesh: A case study on Dutch-Bangla Bank Limited. American Journal of Operations Management Information Systems 2(1), 42-53.

Rao, S. S., Metts, G., & Monge, C. A. M. (2003). Electronic commerce development in small and medium sized enterprises: A stage model and its implications. Business Process Management Journal, 9(1), 11-32.

Saffu, K. (2008). Strategic value and electronic commerce adoption among small and medium‐sized enterprises in a transitional economy. Journal of Business & Industrial Marketing, 23(6), 395-404. doi:10.1108/08858620810894445

Sathye, M. (1999). Adoption of Internet banking by Australian consumers: an empirical investigation. International Journal of bank marketing, 17(7), 324-334.

Sengupta, J., Lam, K., & Desmet. (2014). Asia Financial Institutions “Digital Banking in Asia” Winning approaches in a new generation of financial services. McKinsey Company

Sentosa, I., Ming, C. W., Soebyakto, B. B., & Nik Mat, N. K. (2012). A structural equation modeling of internet banking usage in Malaysia. Journal of Arts, Science and Commerce, 3(1), 75-86.

Shih, Y. Y. (2004). The use of a decomposed theory of planned behavior to study Internet banking in Taiwan. Internet Research, 14(3), 213-223. doi:10.1108/10662240410542643

Siddik, M. N. A., Sun, G., Kabiraj, S., Shanmugan, J., & Yanjuan, C. (2016a). Impacts of e-banking on performance of banks in a developing economy: empirical evidence from Bangladesh. Journal of Business Economics and Management Science, 17(6), 1066-1080.

Siddik, M. N. A., Sun, G., Kabiraj, S., Shanmugan, J., & Yanjuan, C. (2016b). Impacts of e-banking on performance of banks in a developing economy: empirical evidence from Bangladesh. Journal of Business Economics and Management, 17(6), 1066-1080. doi:10.3846/16111699.2015.1068219

Tan, M., & Teo, T. S. (2000). Factors influencing the adoption of Internet banking. Journal of the Association for information Systems, 1(1), 5.

Tsai, W. H., Chou, W. C., & Leu, J. D. (2011). An effectiveness evaluation model for the web-based marketing of the airline industry. Expert Systems with Applications, 38(12), 15499-15516.

Turban, E., King, D., Lee, J., & Viehland, D. (2002). Electronic commerce: A managerial perspective 2002. Prentice Hall: ISBN 0, 13(975285), 4.

Venkatesh, V., & Ramesh, V. (2006). Web and wireless site usability: Understanding differences and modeling use. MIS quarterly, 181-206.

Wang, Y. S. (2003). Determinants of user acceptance of Internet banking: an empirical study. International Journal of Service Industry Management, 14(5), 501-519. doi:10.1108/09564230310500192

Yee‐Loong Chong, A. (2008). Adoption of interorganizational system standards in supply chains. Industrial Management & Data Systems, 108(4), 529-547. doi:10.1108/02635570810868371

Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760-767. doi:https://doi.org/10.1016/j.chb.2010.01.013

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