ISSN: 2222-6990
Open access
The entrepreneur program for the asnaf (poor) provide a technopreneurship knowledge in shaping future competitiveness and ensuring economic growth. Nevertheless, the majority of asnaf entrepreneurs remain conventional operating. As a result, the threat of competitors will undoubtedly impact the sustainability of their business. To increase their business potential and ensure the long-term stability of their business, it is therefore essential for asnaf entrepreneurs to move to the financial technology platform. The present research incorporates the Unified Theory of Acceptance and Use of Technology (UTAUT) to assess how mobile banking affects asnaf entrepreneurs' behavioral intentions, including e-lifestyle, in rural contexts. Cross-sectional information obtained from 360 asnaf entrepreneurs living in rural Malaysia has been examined using structural equation modeling. The findings confirmed statistically significant variables that could encourage an asnaf entrepreneur's intention to adopt fintech to benefit from the supplier, bank institution, and efficient customer transaction. This study also has social implications for addressing poverty eradication among asnaf entrepreneurs in rural Malaysia. In addition, it could serve as a guideline for the State Islamic Religious Council as it develops suitable entrepreneur programs and strategies to increase literacy in finance technology for asnaf zakat entrepreneurs. Finally, this study discovered that the UTAUT theory seldom examines financial technology adoption, particularly regarding asnaf entrepreneurs.
Amin, H. (2022). Examining new measure of asnaf muslimpreneur success model: A Maqasid perspective. Journal of Islamic Accounting and Business Research, 13(4), 596-622.
Amin, H., Rahim Abdul Rahman, A., & Ramayah, T. (2009). What makes undergraduate students enroll into an elective course? The case of Islamic accounting. International Journal of Islamic and Middle Eastern Finance and Management, 2(4), 289-304.
Arif, M. I. A. M., Mamat, N., Ramli, R. M., Rani, M. A. M., & Adenan, F. (2022). The Vital Factors in the development of rural asnaf entrepreneurship: A review. Al-Qanatir: International Journal of Islamic Studies, 26(2), 96-103.
Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Kizgin, H., & Patil, P. (2019). Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model. International Journal of Information Management, 44, 38-52.
Das, S. R. (2019). The future of fintech. Financial Management, 48(4), 981-1007.
Douskos, C. (2017). Habit and intention. Philosophia, 45(3), 1129-1148.
Engotoit, B., Kituyi, G. M., & Moya, M. B. (2016). Influence of performance expectancy on commercial farmers’ intention to use mobile-based communication technologies for agricultural market information dissemination in Uganda. Journal of Systems and Information Technology, 18(4), 346-363.
Farah, M. F., Hasni, M. J. S., & Abbas, A. K. (2018). Mobile-banking adoption: empirical evidence from the banking sector in Pakistan. International Journal of Bank Marketing, 36(7), 1386-1413.
Gardner, B., Lally, P., & Rebar, A. L. (2020). Does habit weaken the relationship between intention and behaviour? Revisiting the habit?intention interaction hypothesis. Social and Personality Psychology Compass, 14(8), 125-253.
Gefen, D., Straub, D., & Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communication Association Information System, 4 (1), 1–79.
Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information System, 18 (1), 185–214.
Gu, J. C., Lee, S. C., & Suh, Y. H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605-11616.
Hair, Joseph F., Marko Sarstedt, Christian M. Ringle, and Siegfried P. Gudergan (2018). Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks.
Hanafizadeh, P., Behboudi, M., Koshksaray, A. A., & Tabar, M. J. S. (2014). Mobile-banking adoption by Iranian bank clients. Telematics and informatics, 31(1), 62-78.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modelling. Journal of the Academy Marketing Science, 43, 115–135.
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, 101-160.
Kline, R. B. (2010). Principles and Practice of Structural Equation Modeling (3rd ed). The Guilford Press.
Lewis, B.R., Templeton, G.F., & Byrd, T.A. (2005). A methodology for construct development in MIS research. European Journal of Information Systems, 14, 388-400.
Malaquias, R. F., & Hwang, Y. (2016). An empirical study on trust in mobile banking: A developing country perspective. Computers in human behavior, 54, 453-461.
Masa’deh, R. E., Al-Henzab, J., Tarhini, A. & Obeidat, B. Y. (2018). The associations among market orientation, technology orientation, entrepreneurial orientation and organizational performance. Benchmarking: An International Journal, 25(8), 3117-3142.
Mohd Abd Wahab Fatoni Mohd Balwi & Adibah Hasanah Abd Halim.(2008). Mobilisasi Zakat Dalam Pewujudan Usahawan Asnaf: Satu Tinjauan. Jurnal Syariah, 16,567–584.
Nuryati, M. S., & Bahri, E. S. (2022). Optimizing Digital Marketing Platform for the Success of Asnaf Entrepreneurs. ITQAN: Journal of Islamic Economics, Management, and Finance, 1(1), 36-42.
Owoyemi, M. Y. (2020). Zakat management: The crisis of confidence in zakat agencies and the legality of giving zakat directly to the poor. Journal of Islamic Accounting and Business Research, 11(2), 498-510.
Rahman, S. F. A., Yunus, M., & Hashim, H. (2019). A Technology Acceptance Model (TAM): Malaysian ESL Lecturers' Attitude in Adapting Flipped Learning. Malaysian Journal of Education, 44, 100-126.
Rahman, S., Mahomed, A. S. B., Osman, S., Jalil, A., & Ab Halim, A. H. (2022). Effective monitoring of asnaf entrepreneurship through good governance to reduce poverty and hunger (Goals 1 & 2). Routledge.
Ramayah, T., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2018). Partial Least Squares Structural Equation Modelling (PLS-SEM) using SmartPLS 3.0: An updated guide and practical guide to statistical analysis (2nd ed). Pearson.
Ramayah, T., Rouibah, K., Gopi, M., & Rangel, G. J. (2009). A decomposed theory of reasoned action to explain intention to use Internet stock trading among Malaysian investors. Computers in Human Behavior, 25(6), 1222-1230.
Rani, M. A. M., Said, S., & Izham, S. S. (2022). Asnaf Entrepreneur Strategy in the Development of the Halal Industry in Malaysia. Springer Nature Singapore.
Rozmi, A. N. A., Bakar, M. I. A., Abdul Hadi, A. R., & Imran Nordin, A. (2019). Investigating the intentions to adopt ICT in Malaysian SMEs using the UTAUT model. Springer International Publishing.
Salimon, M. G., Kareem, O., Mokhtar, S. S. M., Aliyu, O. A., Bamgbade, J. A., & Adeleke, A.Q. (2023). Malaysian SMEs m-commerce adoption: TAM 3, UTAUT 2 and TOE approach. Journal of Science and Technology Policy Management, 14(1), 98-126.
Samsudeen, S. N., Selvaratnam, G., & Hayathu Mohamed, A. H. (2022). Intention to use mobile banking services: An Islamic banking customers’ perspective from Sri Lanka. Journal of Islamic Marketing, 13(2), 410-433.
Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and informatics, 32(1), 129-142.
Shiyuti, H. B. A., Zainol, F. A., & Ishak, M. S. I. (2021). Conceptualizing asnaf entrepreneurship for zakat institutions in Malaysia. The Journal of Management Theory and Practice, 2 (20), 44-49.
Singh, S., & Srivastava, R.K. (2018). Predicting the intention to use mobile banking in India. International Journal of Bank Marketing,36 (2),357-378.
Soh, P. Y., Heng, H. B., Selvachandran, G., Anh, L. Q., Chau, H. T. M., Son, L. H., & Varatharajan, R. (2020). Perception, acceptance and willingness of older adults in Malaysia towards online shopping: a study using the UTAUT and IRT models. Journal of Ambient Intelligence and Humanized Computing, 1-13.
Souiden, N., Ladhari, R., & Chaouali, W. (2021). Mobile banking adoption: a systematic review. International Journal of Bank Marketing, 39(2), 214-241.
Straub, D., Boudreau, M.-C. & Gefen, D. (2004). Validation guidelines for IS positivist research. Communications of the Association for Information Systems, 13, 380-427.
Tam, C., & Oliveira, T. (2017). Understanding mobile banking individual performance: The DeLone & McLean model and the moderating effects of individual culture. Internet Research, 27(3), 538-562.
Van Klyton, A., Tavera-Mesias, J. F., & Castano-Muoz, W. (2021). Innovation resistance and mobile banking in rural Colombia. Journal of Rural Studies, 81, 269-280.
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.
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, 157-178.
Warshaw, P. R., & Davis, F. D. (1985). Disentangling behavioral intention and behavioral expectation. Journal of experimental social psychology, 21(3), 213-228.
Wonglimpiyarat, J. (2017). FinTech banking industry: A systemic approach. Foresight, 19(6), 590-603.
Yim, J. S. C., Moses, P., & Azalea, A. (2019). Predicting teachers’ continuance in a virtual learning environment with psychological ownership and the TAM: A perspective from Malaysia. Educational Technology Research and Development, 67(3), 691-709.
Yu, C. S. (2015). Using e-lifestyle to analyze mobile banking adopters and non-adopters. Journal of Global Information Technology Management, 18(3), 188-213.
Zhang, T., Lu, C., & Kizildag, M. (2018). Banking “on-the-go”: examining consumers’ adoption of mobile banking services. International Journal of Quality and Service Sciences, 10(3), 279-295.
N/A
Copyright: © 2023 The Author(s)
Published by HRMARS (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode