Identifying The Factors Affecting Adoption of Mobile Payment System by Small and Medium Sized Enterprises in Bangladesh
Article Sidebar
Main Article Content
Abstract
Article Details
Section
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles in the Dhaka University Journal of Business Studies are Open Access articles published under the Creative Commons CC BY-NC-ND License Attribution-NonCommercial-NoDerivatives 4.0 International License
How to Cite
References
Acquah-Sam, E., & Bugre, D. (2018). Effects of mobile money on Beige Bank, Ghana. European Scientific Journal, ESJ, 14(31), 29. https://doi.org/10.19044/esj.2018.v14n31p29
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. http://hdl.handle.net/10454/18077
Al-Saedi, K., Al-Emran, M., Ramayah, T., & Abusham, E. (2020). Developing a general extended UTAUT model for m-payment adoption. Technology in Society, 62, 101293. https://doi.org/10.1016/J.TECHSOC.2020.101293
Ardic, O. P., Mylenko, N., & Saltane, V. (2011). Small and medium enterprises: A cross-country analysis with a new data set. World Bank Policy Research Working Paper, 5538. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1747441
Atueyi, C. L., Nkechukwu, G. C., Nzotta, S. M., & Jacobs, C. J. (2019). Effect of electronic banking on small and medium scale enterprise in Nigeria. International Journal of Economics, Finance and Entrepreneurship, 6(1), 28–36.
Au, Y. A., & Zafar, H. (2008). A multi-country assessment of mobile payment adoption. Working Paper Series. https://doi.org/10.1111/1467-8616.00112
Bandyopadhyay, K., Fraccastoro, K. A., & Bandyopadhyay, K. (2007). The effect of culture on user acceptance of information technology. Communications of the Association for Information Systems, 19(1), 23. https://doi.org/10.17705/1CAIS.01923
Bangladesh Bank. (2010). Small and Medium Enterprise (SME) credit policies & programmes. https://www.bb.org.bd/sme/smepolicy.pdf
Bangladesh Bank. (2022, January 1). Mobile financial services (MFS) comparative summary statement of September 2021 and October 2021. https://www.bb.org.bd/finstats/paymentsys/mfsdata.php
Bass, B. M., Avolio, B. J., Jung, D. I., & Berson, Y. (2003). Predicting unit performance by assessing transformational and transactional leadership. The Journal of Applied Psychology, 88(2), 207–218. https://doi.org/10.1037/0021-9010.88.2.207
BBS. (2013). Economic census 2013. http://bbs.gov.bd/site/page/d13ee628-7458-4650-a824-6423d35d3620
Best, R. de. (2021, August 27). Mobile payments worldwide - statistics & facts. Statista. https://www.statista.com/topics/4872/mobile-payments-worldwide
Blumenstock, J., Callen, M., & Ghani, T. (2014). Violence and financial decisions: Evidence from mobile money in Afghanistan, 1–45.
Chaix, L., & Torre, D. (2012). Which economic model for mobile payments? In International Telecommunication Society (Vol. ITS).
Cheong, J. H., Park, M.-C., & Hwang, J. H. (2008). Mobile payment adoption in Korea: Switching from credit card. 15th International Telecommunication Society Europe Regional Conference, 1–22.
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach. Information Systems Research, 14(2), 189–217.
Chingapi, A., & Steyn, A. A. (2022). SMEs in South Africa: The era of adopting mobile payment solutions. In Proceedings of Sixth International Congress on Information and Communication Technology (Vol. 235, pp. 429–447). Springer. https://doi.org/10.1007/978-981-16-2377-6_41
Chong, A. Y.-L. (2013). Predicting m-commerce adoption determinants: A neural network approach. Expert Systems with Applications, 40(2), 523–530. https://www.sciencedirect.com/science/article/pii/S0957417412009244
Conwell, N. P., & Stanslaus, V. (2020). Contribution of mobile money services on SMEs internationalization in Tanzania. International Journal of Business Management and Economic Review, 3(2), 61–83. https://doi.org/10.35409/IJBMER.2020.3168
Dahlberg, T., Mallat, N., Ondrus, J., & Zmijewska, A. (2008). Past, present and future of mobile payments research. Electronic Commerce Research and Applications, 7(2), 165–181. https://doi.org/10.1016/j.elerap.2007.02.001
Dahlberg, T., & Öörni, A. (2007). Understanding changes in consumer payment habits. Proceedings of the Annual Hawaii International Conference on System Sciences. https://doi.org/10.1109/HICSS.2007.580
Dennehy, D., & Sammon, D. (2015). Trends in mobile payments research. Journal of Innovation Management, 3(1), 49–61.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models. Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312
Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101–107.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.). Pearson.
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). Assessment of PLS-SEM use. Journal of the Academy of Marketing Science, 40(3), 414–433.
Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage.
Harman, H. H. (1976). Modern factor analysis. University of Chicago Press.
Heijden, H. van der. (2002). Factors affecting mobile payment systems introduction. 15th Bled Electronic Commerce Conference, 430–443.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). PLS path modeling in marketing. Advances in International Marketing, 20, 277–320.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2014). New criterion for assessing discriminant validity. Journal of the Academy of Marketing Science, 43(1), 115–135.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). Assessing discriminant validity in variance-based SEM. Journal of the Academy of Marketing Science, 43(1), 115–135.
Hensley, R. L. (1999). Review of operations management using case development techniques. Journal of Operations Management, 17(3), 343–358. https://doi.org/10.1016/S0272-6963(98)00051-5
Hilton, P. R. (2004). Statistics explained. Routledge. https://doi.org/10.1007/s13398-014-0173-7.2
Hinkin, T. R. (1998). Development of measures for survey questionnaires. Organizational Research Methods, 1(1), 104–121.
Hongxia, P., Xianhao, X., & Weidan, L. (2011). Drivers and barriers in mobile payment acceptance. In International Conference on E-business and E-government (ICEE). IEEE.
Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2), 195–199. https://doi.org/10.1002/(SICI)1097-0266(199902)20:2
Jadil, Y., Rana, N. P., & Dwivedi, Y. K. (2021). A meta-analysis of the UTAUT model in mobile banking literature: The moderating role of sample size and culture. Journal of Business Research, 132, 354–372. https://doi.org/10.1016/J.JBUSRES.2021.04.052
Jain, A., & Hundal, B. S. (2007). Factors influencing mobile services adoption in rural India. Asia-Pacific Journal of Rural Development, 17(1), 17–28.
John, E. K., Gwahula, R., & Msemwa, F. M. (2018). Influence of perceived risk on the uptake of mobile money services by SMEs in Tanzania. International Journal of Advanced Engineering Management and Science, 4(9), 703–712. https://doi.org/10.22161/IJAEMS.4.9.10
Kargin, B., Basoglu, N., & Daim, T. (2009). Exploring mobile service adoption: Customer preferences. System Sciences, 2009. HICSS 42, 1–8.
Ketchen, D. J. (2013). A primer on partial least squares structural equation modeling. Long Range Planning, 46(1–2), 184–185. https://doi.org/10.1016/j.lrp.2013.01.002
Khalilzadeh, O., Ozturk, A. B., & Bilgihan, A. (2017). Security-related factors in extended UTAUT for NFC-based mobile payment. Computers in Human Behavior, 70, 460–474. https://doi.org/10.1016/j.chb.2017.01.001
Khan, A. N., & Ali, A. (2018). Factors affecting retailer adoption of mobile payment systems: SEM-neural network modeling. Wireless Personal Communications, 103(3), 2529–2551.
Khan, I. U., Hameed, Z., Khan, S. N., & Khan, U. A. (2021). Cultural effects on online banking acceptance using extended UTAUT. Model Journal of Internet Commerce, 1–34.
Khan, N. A., Khan, A. N., Bahadur, W., & Ali, M. (2021). Mobile payment adoption: A multi-theory, multi-method approach. International Journal of Mobile Communications, 19(1), 1. https://doi.org/10.1504/IJMC.2021.10032082
Kim, C., Mirusmonov, M., & Lee, I. (2010). Empirical examination of factors influencing mobile payment intention. Computers in Human Behavior, 26(3), 310–322. https://doi.org/10.1016/j.chb.2009.10.013
Kirui, E., Onono, P. O., & Muniu, J. (2020). Determinants of mobile money utilization by SMEs in Kenya. International Journal of Economics and Management Sciences. https://doi.org/10.4172/2168-9679.1000576
Klein, A. (2020). China’s digital payment revolution. Brookings Institution.
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1–10.
Leavitt, N. (2010). Payment applications make e-commerce mobile. Computer, 43(12), 19–22. https://doi.org/10.1109/MC.2010.357
Lee, Y. (2021, July 8). Southeast Asia is world’s fastest-growing mobile wallet market. Bloomberg.
Leeuw, E. D. de, Hox, J., & Dillman, D. (2008). International handbook of survey methodology. Routledge.
Leong, L. Y., Hew, T. S., Tan, G. W. H., & Ooi, K. B. (2013). Predicting NFC-enabled mobile credit card acceptance. Expert Systems with Applications, 40(14), 5604–5620.
Mahakittikun, T., Sutrasyuth, S., & Batiasevi, V. (2021). Technological-organizational-environmental factors and firm performance. Journal of Asia Business Studies, 15(2), 359–383.
Maiti, M. (2018). Cooperative avenues to promote financial access to MSMEs. International Journal of Law and Management, 60(5), 1210–1222.
Mallat, N. (2007). Consumer adoption of mobile payments: A qualitative study. Journal of Strategic Information Systems, 16(4), 413–432.
Maman, M. A. (2021, December 7). SME sector plays a big part in development. Dhaka Tribune.
Marcoulides, G. A., & Saunders, C. (2006). PLS: A silver bullet? MIS Quarterly, 30(3), iii–ix.
Masocha, R., & Dzomonda, O. (2018). Mobile money adoption and SME performance in Zimbabwe. Academy of Accounting and Financial Studies Journal, 22(3).
Ministry of Industry. (2016). Industrial policy 2016. Government of Bangladesh.
Mohamad, S. A., & Kassim, S. (2019). UTAUT constructs and e-payment adoption among microfinance clients in Malaysia. Advances in Social Science, Education and Humanities Research, 351–357.
Mujahhed, M. H. M., Musa Ahmed, E., & Samik, S. A. (2021). Factors influencing SMEs adoption of mobile banking. Journal of Science and Technology Policy Management.
Najib, M., & Fahma, F. (2020). Adoption of digital payment system in Indonesian SMEs. International Journal of Advanced Science Engineering and Information Technology, 10(2), 805–816.
Ngaruiya, B., Boșire, M., & Kamau, S. M. (2014). Effect of mobile money transactions on SME performance in Nakuru County.
Nichter, S., & Goldmark, L. (2009). Small firm growth in developing countries. World Development, 37(9), 1453–1464.
Nunnally, J. C. (1978). Psychometric theory. McGraw-Hill.
Petrova, K., & Mehra, R. (2010). Mobile payment: Customer attitudes study. Proceedings of Wireless and Mobile Communications (ICWMC), 278–383.
Piper, K. (2020, September 11). What Kenya can teach about improving lives of the unbanked. Vox.
Rahi, S., & Abd Ghani, M. (2018). Role of UTAUT and perceived security in internet banking adoption. World Journal of Science, Technology and Sustainable Development, 15(4), 338–356.
Rahman, M. A., Qi, X., & Islam, T. (2016). Banking access for the poor in rural Bangladesh. Journal of Economic & Financial Studies, 4(3), 1–10.
Rampton, J. (2016). The evolution of mobile payment. Tech Crunch.
Roscoe, J. T. (1975). Fundamental research statistics for the behavioral sciences. Holt, Rinehart and Winston.
Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. P. (2016). Estimation issues with PLS and CBSEM. Journal of Business Research, 69(10), 3998–4010.
Sosik, J. J., Kahai, S. S., & Piovoso, M. J. (2009). Silver bullet or voodoo statistics? Group & Organization Management, 34(1), 5–36.
Stover, R., & Stone, W. (1974). Hand delivery of self-administered questionnaires. Public Opinion Quarterly, 38(2), 284–287.
Talom, F. S. G., & Tengeh, R. K. (2019). The impact of mobile money on the financial performance of SMEs in Douala, Cameroon. Sustainability, 12(1), 183. https://doi.org/10.3390/su12010183
Tehseen, S., Ramayah, T., & Sajilan, S. (2017). Testing and controlling for common method variance. Journal of Management Sciences, 4(2), 146–175. https://doi.org/10.20547/jms.2014.1704202
Tengeh, R. K., & Karagoa Talom, F. S. (2020). Mobile money as a sustainable alternative for SMEs in less developed financial markets. Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 163. https://doi.org/10.3390/joitmc6040163
Tengeh, R. K., & Talom, F. S. G. (2020). Mobile money as a sustainable alternative for SMEs in less developed financial markets. Undefined, 6(4), 1–21. https://doi.org/10.3390/JOITMC6040163
Twum, K. K., Ofosu, D., Keney, G., & Korang-Yeboah, B. (2021). Using the UTAUT model, innovativeness, and perceived financial cost to examine students’ intention to use e-learning. Journal of Science and Technology Policy Management. https://doi.org/10.1108/JSTPM-12-2020-0168
Uwamariya, M., & Loebbecke, C. (2020). Learning from the mobile payment role model: Lessons from Kenya for Rwanda. Information Technology for Development, 26(1), 108–127. https://doi.org/10.1080/02681102.2018.1564725
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/10.1017/CBO9781107415324.004
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology. MIS Quarterly, 36(1), 157–178.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17, 328–376.
Wang, Y. S., Li, H. T., Li, C. R., & Zhang, D. Z. (2016). Hotel adoption of mobile reservation systems. Tourism Management, 53, 163–172. https://doi.org/10.1016/j.tourman.2015.09.021
Wei-Han Tan, G., Chong, A. Y. L., & Ooi, K. B. (2010). Adoption of online banking in Malaysia: Gender factor analysis. International Journal of Business and Management Science, 3(2), 169–193.
Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015). The unified theory of acceptance and use of technology (UTAUT): A literature review. Journal of Enterprise Information Management, 28(3), 443–488. https://doi.org/10.1108/JEIM-09-2014-0088
Wong, K. K. (2013). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24(1), 1–32.
Xin, H., Techatassanasoontorn, A., & Tan, F. B. (2013). Exploring trust in mobile payment adoption. PACIS Proceedings, 143(18), 1–17.
Yoo, S. J., & Huang, W. D. (2011). Comparison of web 2.0 technology acceptance across cultures. Journal of Educational Technology & Society, 14(4), 241–252.
Yu, C. S. (2012). Factors affecting individual adoption of mobile banking: Empirical evidence from the UTAUT model. Journal of Electronic Commerce Research, 13, 104–121.
Zuiderwijk, A., Janssen, M., & Dwivedi, Y. K. (2015). Acceptance and use predictors of open data technologies. Government Information Quarterly, 32(4), 429–440. https://doi.org/10.1016/j.giq.2015.09.005
