Determinants of Online Zakat Intention amongst Muslim Millennials: An Integration of Technology Acceptance Model and Theory of Planned Behavior

Sri Yayu Ninglasari* -  Faculty of Economics and Business, Universitas Airlangga, Indonesia

Today’s modern civilization has resulted in the crucial role of technology in human life, including financial matter. Integrating Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB), this study sheds some light on the determinants of Muslim millennials’ intention in performing zakat payment using Financial Technology (Fintech). An online questionnaire survey was conducted to gather the required data from a group of Indonesian Muslim millennials. Employing purposive sampling technique, the sample consisted of 200 respondents. The data were analyzed with the assistance of Structural Equation Model - Partial Least Square (SEM-PLS). The results demonstrated that perceived ease of use and perceived usefulness positively and significantly affected the respondents’ attitudes. Moreover, attitudes, subjective norms, and perceived behavioral control significantly affected the intention of using Fintech to perform zakat payment. The results further revealed that there was no direct influence between perceived ease of use and perceived usefulness on the respondents’ intention to use Fintech. However, it had an indirect effect by the mediation of attitude variable. As a theoretical implication, this study contributes to the literature enhancement in the discourse of TAM and TPB models in zakat context. Practically, it assists zakat management institutions recognize the Muslim millennial community and develop digital zakat payment platforms.

Keywords : Financial Technology; Muslim Millennials; Online Zakat Intention; Technology Acceptance Model; Theory of Planned Behavior

  1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
  2. Alalwan, A. A., Dwivedi, Y. K., Rana, N. P. P., & Williams, M. D. (2016). Consumer adoption of mobile banking in Jordan. Journal of Enterprise Information Management, 29(1), 118–139. https://doi.org/10.1108/jeim-04-2015-0035
  3. Arora, S., & Sahney, S. (2018). Antecedents to consumers’ showrooming behaviour: an integrated TAM-TPB framework. Journal of Consumer Marketing, 35(4), 438–450. https://doi.org/10.1108/JCM-07-2016-1885
  4. Awa, H. O., Ojiabo, O. U., & Emecheta, B. C. (2015). Integrating TAM, TPB and TOE frameworks and expanding their characteristic constructs for e-commerce adoption by SMEs. Journal of Science and Technology Policy Management, 6(1), 76–94. https://doi.org/10.1108/JSTPM-04-2014-0012
  5. Charities Aid Foundation. (2019). CAF World Giving Index 10th Edition. Charities Aid Foundation, October. https://www.cafonline.org/about-us/publications/2019-publications/caf-world-giving-index-10th-edition
  6. Chen, Y., Dai, R., Yao, J., & Li, Y. (2019). Donate time or money? The determinants of donation intention in online crowdfunding. Sustainability (Switzerland), 11(16), 1–21. https://doi.org/10.3390/su11164269
  7. Chuang, L.-M., Liu, C.-C., & Kao, H.-K. (2016). The Adoption of Fintech Service: TAM perspective. International Journal of Management and Administrative Sciences (IJMAS), 3(7), 1–15.
  8. Darmansyah, D., Fianto, B. A., Hendratmi, A., & Aziz, P. F. (2020). Factors determining behavioral intentions to use Islamic financial technology. Journal of Islamic Marketing, https://doi.org/10.1108/JIMA-12-2019-0252
  9. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–340. https://doi.org/10.2307/249008
  10. Elhajjar, S., & Ouaida, F. (2020). An analysis of factors affecting mobile banking adoption. International Journal of Bank Marketing, 38(2), 352–367. https://doi.org/10.1108/IJBM-02-2019-0055
  11. Ghazali, E. M., Mutum, D. S., Chong, J. H., & Nguyen, B. (2018). Do consumers want mobile commerce? A closer look at M-shopping and technology adoption in Malaysia. Asia Pacific Journal of Marketing and Logistics, 30(4), 1064–1086. https://doi.org/10.1108/APJML-05-2017-0093
  12. Ghozali, I. (2015). Structural Equation Modeling: Metode Alternatif dengan Partial Least Square (PLS. Badan Penerbit Universitas Diponegoro.
  13. Giovanis, A., Athanasopoulou, P., Assimakopoulos, C., & Sarmaniotis, C. (2019). Adoption of mobile banking services: A comparative analysis of four competing theoretical models. International Journal of Bank Marketing, 37(5), 1165–1189. https://doi.org/10.1108/IJBM-08-2018-0200
  14. Google, Temasek, & Bain&Company. (2019). e-Conomy SEA 2019 Swipe up and to the right: Southeast Asia’s $100 billion Internet economy. In e-Conomy SEA 2019. https://www.bain.com/insights/e-conomy-sea-2019/
  15. Hair, J. J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications, Inc.
  16. Hanafizadeh, P., Keating, B. W., & Khedmatgozar, H. R. (2014). A systematic review of Internet banking adoption. Telematics and Informatics, 31(3), 492–510. https://doi.org/10.1016/j.tele.2013.04.003
  17. 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. https://doi.org/10.1007/s11747-014-0403-8
  18. Hudaefi, F. A. (2020). How does Islamic fintech promote the SDGs? Qualitative evidence from Indonesia. Qualitative Research in Financial Markets. 12(4), 353-366. https://doi.org/10.1108/QRFM-05-2019-0058
  19. Hudaefi, F. A., Beik, I. S., Zaenal, M. H., Choirin, M., Farchatunnisa, H., & Junari, U. L. (2020). How does zakat institution respond to fintech? Evidence from BAZNAS Indonesia. IJZIP: International Journal of Zakat and Islamic Philanthropy, 2(1), 33–40.
  20. KNEKS. (2018). Masterplan Ekonomi Syariah Indonesia 2019-2024. In Kementerian Perencanaan Pembangunan Nasional/ Badan Perencanaan Pembangunan Nasional.
  21. KPMG. (2020). The Pulse of Fintech H1 2020. https://home.kpmg/xx/en/home/insights-/2020/09/pulse-of-fintech-h1-20-global.html
  22. Leong, K., & Sung, A. (2018). FinTech (Financial Technology): What is It and How to Use Technologies to Create Business Value in Fintech Way? International Journal of Innovation, Management and Technology, 9(2), 74–78. https://doi.org/10.18178/ijimt.2018.9.2.791
  23. Milian, E. Z., Spinola, M. de M., & Carvalho, M. M. d. (2019). Fintechs: A literature review and research agenda. Electronic Commerce Research and Applications, 34(March-April), 1–21. https://doi.org/10.1016/j.elerap.2019.100833
  24. Niswah, F. M., Mutmainah, L., & Legowati, D. A. (2019). Muslim Millennial’S Intention of Donating for Charity Using Fintech Platform. Journal of Islamic Monetary Economics and Finance, 5(3), 623–644. https://doi.org/10.21098/jimf.v5i3.1080
  25. Nunkoo, R., Ramkissoon, H., & Gursoy, D. (2013). Use of Structural Equation Modeling in Tourism Research: Past, Present, and Future. Journal of Travel Research, 52(6), 759–771. https://doi.org/10.1177/0047287513478503
  26. Puskas BAZNAS. (2020). Outlook Zakat Indonesia 2020. In Baznas.
  27. PwC Indonesia. (2019). Indonesia’s Fintech Lending: Driving Economic Growth Through Financial Inclusion. https://pwc.com.
  28. Rachman, M. A., & Salam, A. N. (2018). The Reinforcement of Zakat Management through Financial Technology Systems. International Journal of Zakat, 3(1), 57–69.
  29. Safeena, R., Date, H., Hundewale, N., & Kammani, A. (2013). Combination of TAM and TPB in Internet Banking Adoption. International Journal of Computer Theory and Engineering, 5(1), 146–150. https://doi.org/10.7763/ijcte.2013.v5.665
  30. Safitri, T. A. (2020). The Development of Fintech in Indonesia. Advances in Social Science, Education and Humanities Research, 436(May), 666–670. https://doi.org/10.2991/assehr.k.200529.139
  31. Saksonova, S., & Kuzmina-Merlino, I. (2017). Fintech as financial innovation - The possibilities and problems of implementation. European Research Studies Journal, 20(3A), 961–973. https://doi.org/10.35808/ersj/757
  32. Shaikh, I. M., Qureshi, M. A., Noordin, K., Shaikh, J. M., Khan, A., & Shahbaz, M. S. (2020). Acceptance of Islamic financial technology (FinTech) banking services by Malaysian users: an extension of technology acceptance model. Foresight, 22(3), 367–383. https://doi.org/10.1108/FS-12-2019-0105
  33. Thaker, M. A. M. T., Mohd Thas Thaker, H., & Allah Pitchay, A. (2018). Modeling crowdfunders’ behavioral intention to adopt the crowdfunding-waqf model (CWM) in Malaysia. International Journal of Islamic and Middle Eastern Finance and Management, 11(2), 231–249. https://doi.org/10.1108/imefm-06-2017-0157
  34. Troise, C., O’Driscoll, A., Tani, M., & Prisco, A. (2020). Online food delivery services and behavioural intention – a test of an integrated TAM and TPB framework. British Food Journal, 123(2), 664-683. https://doi.org/10.1108/BFJ-05-2020-0418
  35. Tweneboah-Koduah, E. Y., Adams, M., & Acheampong, G. (2019). The role of theories in social marketing in predicting physical activity behavior among the youth. Journal of Social Marketing, 9(4), 398–417. https://doi.org/10.1108/JSOCM-01-2018-0005
  36. Usman, H., Mulia, D., Chairy, C., & Widowati, N. (2020). Integrating trust, religiosity and image into technology acceptance model: the case of the Islamic philanthropy in Indonesia. Journal of Islamic Marketing. https://doi.org/10.1108/JIMA-01-2020-0020
  37. Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
  38. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems. 27(3), 425-578. https://doi.org/10.2307/30036540
  39. Yadav, R., Chauhan, V., & Pathak, G. S. (2015). Intention to adopt internet banking in an emerging economy: A perspective of Indian youth. International Journal of Bank Marketing, 33(4), 530–544. https://doi.org/10.1108/IJBM-06-2014-0075
  40. Yahaya, M. H., & Ahmad, K. (2019). Factors Affecting the Acceptance of Financial Technology among Asnaf for the Distribution of Zakat in Selangor - A Study Using UTAUT. Journal of Islamic Finance, 8(Special Issue), 035–046.
  41. Yang, H. H., & Su, C. H. (2017). Learner behaviour in a MOOC practice-oriented course: In empirical study integrating TAM and TPB. International Review of Research in Open and Distance Learning, 18(5), 35–63. https://doi.org/10.19173/irrodl.v18i5.2991

Shirkah: Journal of Economics and Business
Published by Faculty of Islamic Economics and Business (FEBI)
Institut Agama Islam Negeri Surakarta, Indonesia
Jln. Pandawa No. 1, Pucangan, Kartasura, Central Java, Indonesia, 57168
Phone: +62271-781516
Website: http://shirkah.or.id/new-ojs/index.php/home
Email: shirkahiainsurakarta@gmail.com

P-ISSN :2503-4235 | E-ISSN : 2503-4243

This ejournal system and it's contents licensed under
a Creative Commons Attribution-NonCommercial 4.0 International License