DOI QR코드

DOI QR Code

Study of Determinants of Behavior Intention in Online Banking of Bangladesh

  • 투고 : 2021.11.29
  • 심사 : 2021.12.17
  • 발행 : 2021.12.30

초록

Purpose -This study was based on the TAM and the trust of Bangladeshi in social impact, privacy and security, compatibility, perceived-ease of use, and perceived-usefulness. The purpose of this study is to investigate how these variables affect the acceptance of online banking. Research design, data, and methodology - Internet survey was conducted for individuals who had experience in using the online banking service, and those who have no experience in online banking were excluded from the analysis. The questionnaire was distributed to Bangladesh respectively, and data were collected. Result - Trust is the variable that has the greatest influence on the adaption of online banking service. Perceived-usefulness was found to have a important effect on individuals' behavioral-intention towards the adopting of online Banking services in Bangladesh. It was also found that compatibility, privacy and security were important predictors. Conclusion - The TAM model, which explains individual behavioral intentions toward adopting online banking services in Bangladesh, is sufficiently applicable. Perceived ease of use found an important predictor of trust. Evidently, the current conclusions provide empirical evidence that customers would be more willing to adopt online banking services if they find it useful and reliable. Another very important constructive correlation between trust and perceived-usefulness, suggesting that consumers who realize that online banking is safe and useful.

키워드

과제정보

This work was supported by research fund of Chungnam National University

참고문헌

  1. Bashir, I., & Madhavaiah, C. (2014). Determinants of young consumers' intention to use Internet banking services in India. Vision, 18(3), 153-163. https://doi.org/10.1177/0972262914538369
  2. Bashir, I., & Madhavaiah, C. (2015). Consumer attitude and behavioural intention towards Internet banking adoption in India. Journal of Indian Business Research, 7(1), 67-102. https://doi.org/10.1108/JIBR-02-2014-0013
  3. Chauhan, V., Yadav, R., & Choudhary, V. (2019). Analyzing the impact of consumer innovativeness and perceived risk in internet banking adoption: A study of Indian consumers. International Journal of Bank Marketing, 37(1), 323-339. https://doi.org/10.1108/ijbm-02-2018-0028
  4. Chen, L. D. (2008). A model of consumer acceptance of mobile payment. International Journal of Mobile Communications, 6(1), 32-52. https://doi.org/10.1504/IJMC.2008.015997
  5. Consumer acceptance of online banking: an extension of the technology acceptance model. Internet research, 14(3), 224-235. https://doi.org/10.1108/10662240410542652
  6. Dahlberg, T., Mallat, N., Ondrus, J., & Zmijewska, A. (2008). Past, present and future of mobile payments research: A literature review. Electronic Commerce Research and Applications, 7(2), 165-181. https://doi.org/10.1016/j.elerap.2007.02.001
  7. Dahlberg, T., Mallat, N., Ondrus, J., & Zmijewska, A. (2008). Past, present and future of mobile payments research: A literature review. Electronic Commerce Research and Applications, 7(2), 165-181. https://doi.org/10.1016/j.elerap.2007.02.001
  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. https://doi.org/10.1006/imms.1993.1022
  9. 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. https://doi.org/10.1287/mnsc.35.8.982
  10. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111-1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
  11. Ding, M., & Hampe, J. F. (2003). Reconsidering the challenges of mpayments: A to plotting the potential of the future mcommerce market. BLED 2003 Proceedings, 49.
  12. Duane, A., O'Reilly, P., & Andreev, P. (2014). Realising M-Payments: modelling consumers' willingness to M-pay using Smart Phones. Behaviour & Information Technology, 33(4), 318-334. https://doi.org/10.1080/0144929X.2012.745608
  13. Dyna, H. S., & Purwo Adi, W. (2012). Technology Acceptance Model of Mobile Ticketing. In proceedings intl conf information system business competitiveness. Electronics & Communication Engineering Journal, 14(5), 228-238. https://doi.org/10.1049/ecej:20020506
  14. Eriksson, K., Kerem, K., & Nilsson, D. (2005). Customer acceptance of internet banking in Estonia. International Journal of Bank Marketing, 23(2), 200-216. https://doi.org/10.1108/02652320510584412
  15. Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
  16. Gazi, A. I., Rahaman, A., Waliullah, S. S. A., Ali, J., & Mamoon, Z. R. (2021). Financial Performance of Converted Commercial Banks from Non-Banking Financial Institutions: Evidence from Bangladesh. Journal of Asian Finance, Economics and Business, 8(2), 923-931. https://doi.org/10.13106/JAFEB.2021.VOL8.NO2.0923
  17. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Inexperience and experience with online stores: The importance of TAM and trust. Engineering Management, 50(3), 307-321.
  18. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS quarterly, 27(1), 51-90. https://doi.org/10.2307/30036519
  19. Guriting, P., & Oly Ndubisi, N. (2006). Borneo online banking: evaluating customer perceptions and behavioural intention. Management research news, 29(1/2), 6-15. https://doi.org/10.1108/01409170610645402
  20. Hansen, M. H., Morrow, J. L., & Batista, J. C. (2002). The impact of trust on cooperative membership retention, performance, and satisfaction: an exploratory study. The International Food and Agribusiness Management Review, 5(1), 41-59. https://doi.org/10.1016/S1096-7508(02)00069-1
  21. Hernandez, B., Jimenez, J., & Jose Martin, M. (2011). Age, gender and income: do they really moderate online shopping behaviour?. Online Information Review, 35(1),113-133. https://doi.org/10.1108/14684521111113614
  22. Hossain, M. U., & Asheq, A. A. (2019). The Role of Entrepreneurial Orientation to SME Performance in Bangladesh. International Journal of Entrepreneurship, 23(1), 1-6.
  23. Hossain, M. U., & Asheq, A. A. (2020). Do leadership orientation and proactive personality influence social entrepreneurial intention? International Journal of Management and Enterprise Development, 19(2), 109-125. https://doi.org/10.1504/ijmed.2020.107396
  24. Igbaria, M. (1993). User acceptance of microcomputer technology: an empirical test. Omega, 21(1), 73-90. https://doi.org/10.1016/0305-0483(93)90040-R
  25. Jahan, N., Ali, M. J., & Al Asheq, A. (2020). Examining the Key Determinants of Customer Satisfaction Internet Banking Services in Bangladesh. Academy of Strategic Management Journal, 19(1), 1-6.
  26. Shih, H. P. (2004). An empirical study on predicting user acceptance of e-shopping on the Web. Information & Management, 41(3), 351-368. https://doi.org/10.1016/S0378-7206(03)00079-X
  27. Kadhiwal, S., & Zulfiquar, A. U. S. (2007). Analysis of mobile payment security measures and different standards. Computer Fraud & Security, 2007(6), 12-16. https://doi.org/10.1016/S1361-3723(07)70077-5
  28. Kauber, M. (2004). The emerging market of infomobility services. Research in Transportation Economics, 8, 69-87. https://doi.org/10.1016/S0739-8859(04)08004-7
  29. Kaur, A., & Malik, G. (2019). Examining factors influencing Indian customers' intentions and adoption of Internet banking: Extending TAM with electronic service quality. Innovative Marketing, 15(2), 42-57. https://doi.org/10.21511/im.15(2).2019.04
  30. Kesharwani, A., & Tripathy, T. (2012). Dimensionality of perceived risk and its impact on Internet banking adoption: An empirical investigation. Services Marketing Quarterly, 33(2), 177-193. https://doi.org/10.1080/15332969.2012.662461
  31. Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310-322. https://doi.org/10.1016/j.chb.2009.10.013
  32. Koksal, M. H. (2016). The intentions of Lebanese consumers to adopt mobile banking. International Journal of Bank Marketing, 34(3), 327-346. https://doi.org/10.1108/IJBM-03-2015-0025
  33. Lee, C. P., Warkentin, M., & Choi, H. (2004). The role of technological and social factors on the adoption of mobile payment technologies. AMCIS 2004 Proceedings, 333.
  34. Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141. https://doi.org/10.1016/j.elerap.2008.11.006
  35. Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for information systems, 12(1), 50.
  36. Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & management, 40(3), 191-204. https://doi.org/10.1016/S0378-7206(01)00143-4
  37. Liang, C. C., & Nguyen, N. L. (2018). Marketing strategy of internet-banking service based on perceptions of service quality in Vietnam. Electronic commerce research, 18(3), 629-646. https://doi.org/10.1007/s10660-017-9261-z
  38. Liebana-Cabanillas, F., Sanchez-Fernandez, J., & Munoz-Leiva, F. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, 35, 464-478. https://doi.org/10.1016/j.chb.2014.03.022
  39. Lu, J., Yu, C. S., Liu, C., & Yao, J. E. (2003). Technology acceptance model for wireless Internet. Internet Research, 13(3), 206-222. https://doi.org/10.1108/10662240310478222
  40. Mallat, N. (2007). Exploring consumer adoption of mobile payments-A qualitative study. The Journal of Strategic Information Systems, 16(4), 413 432. https://doi.org/10.1016/j.jsis.2007.08.001
  41. Martins, C., Oliveira, T., & Popovic, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1-13. https://doi.org/10.1016/j.ijinfomgt.2013.06.002
  42. Moghavvemi, S., Lee, S. T., & Lee, S. P. (2018). Perceived overall service quality and customer satisfaction: a comparative analysis between local and foreign banks in Malaysia. International Journal of Bank Marketing, 36(5), 908-930. https://doi.org/10.1108/IJBM-06-2017-0114
  43. Multon, K. D., Brown, S. D., & Lent, R. W. (1991). Relation of self-efficacy beliefs to academic outcomes: A meta-analytic investigation. Journal of counseling psychology, 38(1), 30. https://doi.org/10.1037/0022-0167.38.1.30
  44. Mutahar, A. M., Daud, N. M., Thurasamy, R., Isaac, O., & Abdulsalam, R. (2018). The Mediating of Perceived Usefulness and Perceived Ease of Use: The Case of Mobile Banking in Yemen. International Journal of Technology Diffusion (IJTD), 9(2), 21-40. https://doi.org/10.4018/IJTD.2018040102
  45. Nysveen, H., Pedersen, P. E., & Thorbjornsen, H. (2005). Explaining intention to use mobile chat services: moderating effects of gender. Journal of consumer Marketing, 22(5), 247-256. https://doi.org/10.1108/07363760510611671
  46. O'Reilly, P., Duane, A., & Andreev, P. (2012). To M-Pay or not to M-Pay. Realising the potential of smart phones: conceptual modeling and empirical validation. Electronic Markets, 22(4), 229-241. https://doi.org/10.1007/s12525-012-0105-3
  47. Okazaki, S., Molina, F. J., & Hirose, M. (2012). Mobile advertising avoidance: exploring the role of ubiquity. Electronic Markets, 22(3), 169-183. https://doi.org/10.1007/s12525-012-0087-1
  48. Ondrus, J., & Pigneur, Y. (2007, July). An assessment of NFC for future mobile payment systems. In Management of Mobile Business, 2007. ICMB 2007. International Conference on the (pp. 43-43).
  49. Oruc, O. E., & Tatar, C. (2017). An investigation of factors that affec t internet banking usage based on structural equation modeling. Computers in Human Behavior, 66, 232-235. https://doi.org/10.1016/j.chb.2016.09.059
  50. Petrova, K., & Mehra, R. (2010, September). Mobile payment: An exploratory study of customer attitudes. In Wireless and Mobile Communications (ICWMC), 2010 6th International Conference on (pp. 378-383).
  51. Rahaman, M. A., Ali, M. J., Kejing, Z., Taru, R. D., & Mamoon, Z. R. (2020c). Investigating the Effect of Service Quality on Bank Customers' Satisfaction in Bangladesh. Journal of Asian Finance, Economics and Business, 7(10), 823-829. https://doi.org/10.13106/JAFEB.2020.VOL7.N10.823
  52. Rahaman, M. A., Ali, M. J., Mamoon, Z. R., & Asheq, A. A. (2020a). Understanding the Entrepreneurial Intention in the Light of Contextual Factors: Gender Analysis. Journal of Asian Finance, Economics and Business, 7(9), 639-647. https://doi.org/10.13106/JAFEB.2020.VOL7.NO9.639
  53. Rahaman, M. A., Ali, M. J., Wafik, H., Mamoon, Z. R., & Islam, M. M. (2020b). What Factors Do Motivate Employees at the Workplace? Evidence from Service Organizations. Journal of Asian Finance, Economics and Business, 7(12), 515-521. https://doi.org/10.13106/JAFEB.2020.VOL7.NO12.515
  54. Rahi, S., & Abd-Ghani, M. (2019). Integration of expectation confirmation theory and self-determination theory in Internet banking continuance intention. Journal of Science and Technology Policy Management, 10(3), 533-550. https://doi.org/10.1108/jstpm-06-2018-0057
  55. Rahi, S., Othman Mansour, M. M., Alghizzawi, M., & Alnaser, F. M. (2019). Integration of UTAUT model in internet banking adoption context: The mediating role of performance expectancy and effort expectancy. Journal of Research in Interactive Marketing, 13(3), 411-435. https://doi.org/10.1108/jrim-02-2018-0032
  56. Raza, S. A., Umer, A., Qureshi, M. A., & Dahri, A. S. (2020). Internet banking service quality, e-customer satisfaction and loyalty: the modified e-SERVQUAL model. The TQM Journal, 32(6), 1443-1466. https://doi.org/10.1108/TQM-02-2020-0019
  57. Sadeghi, T., & Heidarzadeh, H. K. (2010). Customer satisfaction factors (CSFs) with online banking services in an Islamic country. Journal of Islamic Marketing, 1(3), 249-267. https://doi.org/10.1108/17590831011082428
  58. Santouridis, I., Trivellas, P., & Reklitis, P. (2009). Internet service quality and customer satisfaction: examining internet banking in Greece. Total Quality Management, 20(2), 223-239. https://doi.org/10.1080/14783360802623084
  59. Schwiderski-Grosche, S., & Knospe, H. (2002). Secure mobile commerce.
  60. Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129-142. https://doi.org/10.1016/j.tele.2014.05.003
  61. Suh, B., & Han, I. (2003). Effect of trust on customer acceptance of Internet banking. Electronic Commerce research and applications, 1(3), 247-263. https://doi.org/10.1016/S1567-4223(02)00017-0
  62. Venkatesh, V., & Bala, H. (2008), "Technology acceptance model 3 and a research agenda on interventions," Decision Sciences, 39, pp. 273-315 https://doi.org/10.1111/j.1540-5915.2008.00192.x
  63. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478.
  64. Venkatesh, V., Thong J. Y., & 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 https://doi.org/10.2307/41410412
  65. Vukovic, M., Pivac, S., & Kundid, D. (2019). Technology acceptance model for the Internet banking acceptance in split. Business Systems Research, 10(2), 124-140. https://doi.org/10.2478/bsrj-2019-022