Factors Influencing Behavioral Intention to Use and Use Behavior of Mobile Banking in Myanmar Using a Model Based on Unified Acceptance Theory
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Abstract
In this study factors were explored that influenced behavioral intention and adoption of mobile banking by bank customers in Myanmar. The model used adapted factors from the extended Unified Theory of Acceptance and Use of Technology, along with perceived risk. A structured questionnaire was used to collect data using purposive sampling. Four hundred and six valid responses received from mobile banking customers were analyzed using a structural equation model. The results showed a positive and significant relationship between behavioral intention and performance expectancy, hedonic motivation, and habit. The effect of behavioral intention on use behavior was also significant, while the relationships between behavioral intention and effort expectancy, facilitating conditions, social influence, price value, and perceived risk were not significant. The results suggested applicable guidelines for banks to effectively implement and design mobile banking in Myanmar.
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References
Ajzen, I. (2002). Residual effects of past on later behavior: Habituation and reasoned action perspectives. Personality and Social Psychology Review, 6(2), 107–122.https://doi.org/10.1207/S15327957PSPR0602_02
Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002
Alalwan, A. A., Dwivedi, Y. K., & Williams, M. D. (2016). Customers' intention and adoption of telebanking in Jordan. Information Systems Management, 33(2), 154–178. https://doi.org/10.1080/10580530.2016. 1155950
Alam, S. S., Omar, N. A., Ariffin, A. V., & Hashim, N. M. (2018). Integrating TPB, TAM and DOI theories: An empirical evidence for the adoption of mobile banking among customers in Klang Valley, Malaysia. International Journal of Business and Management Science, 8(2), 385–403.
Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 50, 418–430. https://doi.org/10.1016/j.chb.2015.04.024
Baumgartner, H., & Homburg, C. (1996). Applications of structural equation modeling in marketing and consumer research: A review. International Journal of Research in Marketing, 13(2), 139–161.
Breen, J. (2020, April). Myanmar banking: Digital evolution, not revolution (yet). Euromoney. https://www.euromoney.com/article/b1l3vv2g5m6klw/myanmar-banking-digital-evolution-not-revolution-yet
Cai, J., Yang, H. H., & Gong, D. (2019). Understanding undergraduates' adoption of flipped learning: Integrating UTAUT and social presence. In Cheung S., Lee LK., Simonova I., Kozel T., Kwok LF. (eds), Blended Learning: Educational Innovation for Personalized Learning (pp. 9–21). ICBL 2019. Lecture Notes in Computer Science, vol 11546. Springer, Cham. https://doi.org/10.1007/978-3-030-21562-0_2
Charles, G. (2019, October 2). From zero to 40 million: The rise of digital payments in Myanmar. Medium. https://medium.com/@geoffcharles/from-zero-to-40-million-the-rise-of-digital-payments-in-myanmar-2499b488f871
Chong, Y.-L. (2013). Predicting m-commerce adoption determinants: A neural network approach. Expert Systems with Applications, 40(2), 523–530. https://doi.org/10.1016/j.eswa.2012.07.068
Doll, W. J., Xia, W., & Torkzadeh, G. (1994). A Confirmatory factor analysis of the end-user computing satisfaction instrument. MIS Quarterly, 18(4), 453–461. https://doi.org/10.2307/249524
Ensor, B., Montez, T., & Wannemacher, P. ( 2012, August 13). The state of mobile banking 2012. Forrester. https://www.forrester.com/report/The+State+Of+Mobile+Banking+2012/-/E-RES75582
Escobar-Rodriguez, T., Carvajal-Trujillo, E., & Monge, P. (2014). Factors that influence the perceived advantages and relevance of Facebook as a learning tool: An extension of the UTAUT. Australasian Journal of Educational Technology, 30(2), 136–151. https://doi.org/10.14742/ajet.585
Fajar, A. N., Johanes, F. S., Girsang, A. S., & Wang, G. (2018). Evaluation of the used of visual electronic banking system application using UTAUT 2 in Bank Central Asia corporation. IOP Conference Series: Materials Science and Engineering, 420(1), 1–8. https://iopscience.iop.org/article/10.1088/1757-899X/420/1/ 012096/pdf
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business Research, 56(11), 867–875. https://doi.org/10.1016/S0148-2963(01)00273-9
Ghalandari, K. (2012). The effect of performance expectancy, effort expectancy, social influence and facilitating conditions on acceptance of e-banking services in Iran: The moderating role of age and gender. Middle-East Journal of Scientific Research, 12(6), 801–807. https://doi.org/10.5829/idosi.mejsr.2012.12.6.2536
Goodhue, D. L., & Thompson, R. L. (1995). Task-Technology fit and individual performance. MIS Quarterly, 19(2), 213–236. https://doi.org/10.2307/249689
GSMA. (2019, January 23). Myanmar: A burgeoning start-up ecosystem. GSMA. https://www.gsma.com/ mobilefordevelopment/blog/myanmar-a-burgeoning-start-up-ecosystem/
Gupta, A., Dogra, N., & George, B. (2018). What determines tourist adoption of smartphone apps? An analysis based on the UTAUT-2 framework. Journal of Hospitality and Tourism Technology, 9(1), 50–64. https://doi.org/10.1108/JHTT-02-2017-0013
Hair, J. F., Black, W. C., & Babin, B. J. (2010). Multivariate data analysis: A global perspective. Pearson Education.
Holm, S., & Karlsson, L. (2019). Mobile banking adoption in an emerging economy: An empirical analysis of users in Myanmar. [Master's Thesis, KTH Royal Institute of Technology, Sweden. https://kth.diva-portal.org/smash/get/diva2:1372231/FULLTEXT01.pdf
Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modeling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53–60.
Hungilo, G. G., Suyoto, & Setyohadi, D. B. (2020). Factors influencing acceptance of online shopping in Tanzania using UTAUT2. Journal of Internet Banking and Commerce, 25(1), 1–23.
Indrawati, & Firda, A. (2019, July 24–26). The used of modified UTAUT 2 model to analyze the continuance intention of travel mobile application [Paper presentation]. 7th International Conference on Information and Communication Technology (pp. 1–6). Kuala Lumpur, Malasia.
Indrawati, & Putri, D. A. (2018, May 3–4). Analyzing factors influencing continuance intention of E-Payment adoption using modified UTAUT 2 model (A case study of Go-Pay from Indonesia) [Paper presentation]. 6th International Conference on Information and Communication Technology (ICoICT) (pp. 167–173). Bandung, Indonesia.
Kang, M., Liew, B. Y. T., Lim, H., Jang, J., & Lee, S. (2015). Investigating the determinants of mobile learning acceptance in Korea using UTAUT2. Lecture Notes in Educational Technology(9783662441879), 209–216. https://doi.org/10.1007/978-3-662-44188-6_29
Kemp, S. (2019, January 31). Digital 2019: Myanmar. Datareportal.https://datareportal.com/reports/digital-2019-myanmar
Khurana, D. S., & Jain, D. (2019). Applying and extending UTAUT2 Model of adoption of new techonology in the context of M-Shopping fashion application. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(9), 752–759. https://doi.org/10.35940/ijitee.I1122.0789S19
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
Kwateng, K. O., Osei Atiemo, K. A., & Appiah, C. (2019). Acceptance and use of mobile banking: an application of UTAUT2. Journal of Enterprise Information Management, 32(1), 118–151. https://doi.org/10.1108/JEIM-03-2018-0055
Lee, J.-M., Lee, B., & Rha, J.-Y. (2019). Determinants of mobile payment usage and the moderating effect of gender: Extending the UTAUT model with privacy risk. International Journal of Electronic Commerce Studies, 10(1), 43–64. https://doi.org/10.7903/IJECS.1644
Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 31(4), 705–737. https://doi.org/10.2307/ 25148817
Lin, H. F. (2011). An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust. International Journal of Information Management, 31(3), 252–260. https://doi.org/10.1016/j.ijinfomgt.2010.07.006
Madan, K., & Yadav, R. (2016). Behavioural intention to adopt mobile wallet: a developing country perspective. Journal of Indian Business Research, 8(3), 227–244. https://doi.org/10.1108/JIBR-10-2015-0112
Megadewandanu, S., Suyoto, & Pranowo. (2016, 27–28). Exploring mobile wallet adoption in Indonesia using UTAUT2: An approach from consumer perspective. 2nd International Conference on Science and Technology-Computer (ICST) (pp. 11–16). Yogyakarta, Indonesia.
Merhi, M., Hone, K., & Tarhini, A. (2019). A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust. Technology in Society, 59, 1–12. https://doi.org/10.1016/j.techsoc.2019.101151
Moorthy, K., Yee, T. T., T'ing, L. C., & Kumaran, V. V. (2019). Habit and hedonic motivation are the strongest influences in mobile learning behaviours among higher education students in Malaysia. Australasian Journal of Educational Technology, 35(4), 174–191. https://doi.org/10.14742/ajet.4432
Palau-Saumell, R., Forgas-Coll, S., Sánchez-García, J., & Robres, E. (2019). User acceptance of mobile apps for restaurants: An expanded and extended UTAUT-2. Sustainability, 11(4),1210. https://doi.org/10.3390/ su11041210
Park, B. W., & Lee, K. C. (2011). The Effect of users’ characteristics and experiential factors on the compulsive usage of the smartphone. In T. Kim, H. Adeli, R. J. Robles, & M. Balitanas (Eds.), International Conference on Ubiquitous Computing and Multimedia Applications (pp.438–446). Springer. https://doi.org/10.1007/ 978-3-642-20998-7_52
Phang, I. G., Zaiton, O., & Cheuk, C. H. (2018). Young adult Malaysian consumers' intention to shop via mobile shopping apps. Asian Journal of Business Research, 8(1), 18–37. https://doi.org/10.14707/ajbr.180041
Piarna, R., Fathurohman, F., & Purnawan, N. N. (2020). Understanding online shopping adoption: The unified theory of acceptance and the use of technology with perceived risk in millennial consumers context. JEMA Jornal Ilmiaj Bidang Akuntansi dan Manajemen, 17(1), 51–66. https://doi.org/ 10.31106/jema.v17i1.5050
Poushter, J. (2016, February 22). Smartphone ownership and Internet usage continues to climb in emerging economies. Pew Research Center. https://www.pewresearch.org/global/2016/02/22/smartphone-ownership-and-internet-usage-continues-to-climb-in-emerging-economies/
Putra, A. A., Huda, Q., & Fetrina, E. (2019). An evaluation of e-Money products using UTAUT 2 Model: The case of bank Mandiri. 2019 7th International Conference on Cyber and IT Service Management). Jakarta, Indonesia.
Raza, S. A., Shah, N., & Ali, M. (2019). Acceptance of mobile banking in Islamic banks: evidence from modified UTAUT model. Journal of Islamic Marketing, 10(1), 357–376. https://doi.org/10.1108/JIMA-04-2017-0038
Savic, J., & Pesterac, A. (2019). Antecedents of mobile banking: UTAUT Model. The European Journal of Applied Economics, 16(1), 20–29. https://doi.org/10.5937/EJAE15-19381
Shaw, N., & Sergueeva, K. (2019). The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value. International Journal of Information Management, 45, 44–55. https://doi.org/10.1016/ j.ijinfomgt.2018.10.024
Slade, E. L., Williams, M. D., & Dwivedi, Y. K. (2014). Devising a research model to examine adoption of mobile payments: An extension of UTAUT2. The Marketing Review, 14(3), 311–336. https://doi.org/10.1362/ 146934714X14024779062036
Tak, P., & Panwar, S. (2017). Using UTAUT2 Model to predict mobile app based shopping: Evidences from India. Journal of Indian Business Research, 9(3), 248–264. https://doi.org/10.1108/JIBR-11-2016-0132
Tamilmani, K., Rana, N. P., Prakasam, N., & Dwivedi, Y. K. (2019). The battle of Brain vs. Heart: A literature review and meta-analysis of "hedonic motivation" use in UTAUT2. International Journal of Information Management, 46, 222-235. https://doi.org/10.1016/j.ijinfomgt.2019.01.008
Thar, S., Myo, K., & Hwang, G.-H. (2017). Effect of mobile devices on the use intention and use of mobile banking service in Myanmar. Journal of Digital Convergence, 15(6), 71–82. https://doi.org/10.14400/ JDC.2017.15.6.71
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/ 10.2307/30036540
Venkatesh, V., Thong, J. Y. L., & 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
Wu, J.-H., & Wang, S.-C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information & Management, 42(5), 719–729. https://doi.org/10.1016/ j.im.2004.07.001
Zainudeen, A., & Galpaya, H. (2015). Mobile phones, internet, and gender in Myanmar. GSMA. https://www.gsma.com/mobilefordevelopment/wp-content/uploads/2016/02/Mobile-phones-internet-and-gender-in-Myanmar.pdf
Zhang, L., Zhu, J., & Liu, Q. (2012). A meta-analysis of mobile commerce adoption and the moderating effect of culture. Computers in Human Behavior, 28(5), 1902–1911. https://doi.org/10.1016/j.chb.2012.05.008
Zhou, T., Lu, Y., & Lu, Y. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760–767. https://doi.org/10.1016/j.chb.2010.01.013
Zikmund, W. G., Babin, B. J., Carr, J. C., & Griffin, M. (2010). Business research methods. South-Western Cengage Learning.