Intention to Use Digital Zakat Payment: An Empirical Investigation Using the Extended Technology Acceptance Model

Authors

Wan Khazani Wan Kamarudin

Faculty of Economics and Management, University Kebangsaan Malaysia (Malaysia)

Khairul Naziya Kasim

Faculty of Economics and Management, University Kebangsaan Malaysia (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2025.910000755

Subject Category: Economics

Volume/Issue: 9/10 | Page No: 9252-9273

Publication Timeline

Submitted: 2025-10-31

Accepted: 2025-11-06

Published: 2025-11-23

Abstract

The adoption of digital platforms has transformed zakat payment methods, requiring an in-depth understanding of user acceptance factors. This study investigates the relationships between perceived ease of use (PEOU), perceived usefulness (PU), and perceived risk (PR) with the intention to use digital zakat payment platforms. Zakat literacy is also analyzed as a moderating variable. Data were gathered from zakat payers in Malaysia’s central region through a structured survey and analyzed using structural equation modelling. Analysis on 170 respondents show that PEOU and PU significantly and positively influence the intention to use digital zakat platforms, while PR negatively impacts intention, reflecting concerns about security, privacy, and transactional risks. However, zakat literacy does not significantly moderate these relationships, challenging its assumed importance. This study contributes to the academic discourse by extending TAM within the Islamic finance context and highlighting the importance of PR in technology adoption. Practical insights are provided for improving platform usability and addressing user concerns. Future studies should investigate additional variables such as trust and religiosity while adopting comparative or longitudinal approaches for deeper insights.

Keywords

Digital zakat payment; Technology Acceptance Model (TAM)

Downloads

References

1. Abdullah, F., Ward, R. & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ perceived ease of use (PEOU) and perceived usefulness (PU) of e-portfolios. Computers in Human Behavior, 63, 75-90. [Google Scholar] [Crossref]

2. Abdullah, M., & Sapiei, N. (2018). Do religiosity, gender, and educational background influence zakat compliance? The case of Malaysia. International Journal of Social Economics, 45(8), 1250-1264. [Google Scholar] [Crossref]

3. Aboelmaged, M., & Gebba, T.R. (2013). Mobile banking adoption: An examination of Technology Acceptance Model and Theory of Planned Behavior. International Journal of Business Research and Development, 2(1), 35-50. [Google Scholar] [Crossref]

4. Abdul Shukor, S. (2021). Determinants of zakat compliance among Muslim individuals: A systematic literature review. Journal of Islamic Finance, 10(2), 90–100. [Google Scholar] [Crossref]

5. Ahmad, N.N., Tarmidi, M., Ridzwan, I.U., Hamid, M.A., & Roni, R.A. (2014). The application of Unified Theory of Acceptance and Use of Technology (UTAUT) for predicting the usage of e-zakat online system. International Journal of Science and Research, 3(4), 63-67. [Google Scholar] [Crossref]

6. Ahmad, N., Roslin, R.I., & Nazrin, N.F.S. (2021). Analysing the drivers affecting the intention to use online zakat payment among Muslim in Shah Alam, Selangor. International Journal of Islamic Business, 16(1), 32–48. [Google Scholar] [Crossref]

7. Ajzen, I. (2012). The theory of planned behavior. In P.A. van Lange, A.W. Kruglanski, E.T. Higgins (Eds.), Handbook of Theories of Social Psychology, (Vol. 1), 438-459. SAGE Publications Ltd. [Google Scholar] [Crossref]

8. Akbari, M., Rezvani, A., Shahriari, E., Zúñiga, M. A., & Pouladian, H. (2020). Acceptance of 5G technology: Mediation role of trust and concentration. Journal of Engineering and Technology Management, 57. https://doi.org/10.1016/j.jengtecman.2020.101585 [Google Scholar] [Crossref]

9. Al Arif, M.N.R., Nofrianto, N., & Fasa, M.I. (2023). The preference of Muslim young generation in using digital zakat payment: Evidence in Indonesia. Al-Uqud: Journal of Islamic Economics, 7(1), 1–16. [Google Scholar] [Crossref]

10. Alalwan, A.A., Dwivedi, Y.K., & Rana, N.P. (2018). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99-110. [Google Scholar] [Crossref]

11. Almaiah, M.A., Al-Rahmi, A.M., Alturise, F., Alrawad, M., Alkhalaf, S., Lutfi, A., Al-Rahmi, W.M., & Awad, A.B. (2022). Factors influencing the adoption of internet banking: An integration of ISSM and UTAUT with price value and perceived risk. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.919198 [Google Scholar] [Crossref]

12. Alrawad, M., Lutfi, A., Almaiah, M.A., & Elshaer, I.A. (2023). Examining the influence of trust and perceived risk on customers intention to use NFC mobile payment system. Journal of Open Innovation: Technology, Market, and Complexity, 9(2). https://doi.org/10.1016/j.joitmc.2023.100070 [Google Scholar] [Crossref]

13. Altin Gumussoy, C., Kaya, A., & Ozlu, E. (2018). Determinants of mobile banking use: An extended TAM with perceived risk, mobility access, compatibility, perceived self-efficacy and subjective norms. In: Calisir, F., Camgoz Akdag, H. (Eds.), Industrial Engineering in the Industry 4.0 Era. Lecture Notes in Management and Industrial Engineering (pp 225–238). Springer. https://doi.org/10.1007/978-3-319-71225-3_20 [Google Scholar] [Crossref]

14. Al-Qudah, A.A., Al-Okaily, M., & Al-Qudah, H. (2021). The relationship between social entrepreneurship and sustainable development from economic growth perspective: 15 'RCEP' countries. Journal of Sustainable Finance & Investment, 12(1), 44-61. [Google Scholar] [Crossref]

15. Andam, A.C., & Osman, A.Z. (2019). Determinants of intention to give zakat on employment income: Experience from Marawi City, Philippines. Journal of Islamic Accounting and Business Research, 10(4), 528–545. [Google Scholar] [Crossref]

16. Bagla, R.K. & Sancheti, V. (2018). Gaps in customer satisfaction with digital wallets: Challenge for sustainability. Journal of Management Development, 37(6), 442-451. [Google Scholar] [Crossref]

17. 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. [Google Scholar] [Crossref]

18. BAZNAS. 2019. Zakat Literacy Index: Theory and Concept. https://www.puskasbaznas.com/publications/books/1110-zakat-literacy-index-theory-and-concept [Google Scholar] [Crossref]

19. Benitez, J., Henseler, J., Castillo, A., & Schuberth, F. (2020). How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research. Information & Management, 57(2). https://doi.org/10.1016/j.im.2019.05.003 [Google Scholar] [Crossref]

20. Bin-Nashwan, S.A. (2022). Toward diffusion of e-Zakat initiatives amid the COVID-19 crisis and beyond. Foresight, 24(2), 141-158. [Google Scholar] [Crossref]

21. Canggih, C., & Indrarini, R. (2021). Apakah literasi mempengaruhi penerimaan zakat? Jurnal Ekonomi Syariah Indonesia, 11(1), 1–11. [Google Scholar] [Crossref]

22. Cahyani, U.E., Sari, D.P., & Afandi, A. (2022). Determinant of behavioral intention to use digital zakat payment: The moderating role of knowledge of zakat. Ziswaf: Jurnal Zakat Dan Wakaf, 9(1). https://doi.org/10.21043/ziswaf.v9i1.13330 [Google Scholar] [Crossref]

23. Castro-González, S., Fernández-López, S., Rey-Ares, L., & Rodeiro-Pazos, D. (2020). The influence of attitude to money on individuals’ financial wellbeing. Social Indicators Research, 148(3), 747–764. [Google Scholar] [Crossref]

24. Che Mohd Salleh, M. & Chowdhury, M.A.M. (2020). Technological transformation in Malaysian zakat institutions: A qualitative analysis. International Journal of Zakat, 5(3), 44–56. [Google Scholar] [Crossref]

25. Cokrohadisumarto, W., Zaenudin, Z., Santoso, B., & Sumiati, S. (2019). A study of Indonesian community’s behaviour in paying zakat. Journal of Islamic Marketing, 11(4), 961–976. [Google Scholar] [Crossref]

26. Chatterjee, S., Rana, N.P., Dwivedi, Y.K., & Baabdullah, A.M. (2021). Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model. Technological Forecasting and Social Change, 170, 120880. https://doi.org/10.1016/j.techfore.2021.120880 [Google Scholar] [Crossref]

27. Chong, A.Y., Ooi, K.B., Lin, B., & Tan, B.I. (2010). Online banking adoption: An empirical analysis. International Journal of Bank Marketing, 28(4), 267-287. [Google Scholar] [Crossref]

28. Mohd Daud, N., Mohd Kassim, N.E., Wan Mohd Said, W.S.R., & Mohd Noor, M.M. (2011). Determining critical success factors of mobile banking adoption in Malaysia. Australian Journal of Basic and Applied Sciences, 5(9), 252-265. [Google Scholar] [Crossref]

29. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13(3), 319-340. [Google Scholar] [Crossref]

30. Deb, M. & Agrawal, A. (2017). Factors impacting the adoption of m-banking: understanding brand India’s potential for financial inclusion. Journal of Asia Business Studies, 11(1), 22-40. [Google Scholar] [Crossref]

31. Department of Statistics Malaysia (DOSM), (2023). Laporan Survei Penggunaan dan Capaian ICT oleh Individu dan Isi Rumah 2023. Jabatan Perangkaan Malaysia. [Google Scholar] [Crossref]

32. Elhajjar, S. & Ouaida, F. (2020). An analysis of factors affecting mobile banking adoption. International Journal of Bank Marketing, 38(2), 352-367. [Google Scholar] [Crossref]

33. Faradynawati, Ida Ayu Agung. (2018). The Impact of Perceived Risk and Trust on Consumer Intention to Use FinTech Payment in Indonesia. International Review of Financial Consumers, 3, 27-38. [Google Scholar] [Crossref]

34. 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. [Google Scholar] [Crossref]

35. Fox, P. (2018). Data Analytics Course. from https://tw.rpi.edu/web/courses/ Data Analytics/2018 [Google Scholar] [Crossref]

36. Fujiki, H. (2020). Cash demand and financial literacy: A case study using Japanese survey data. Japan and the World Economy, 54. https://doi.org/10.1016/j.japwor.2020.100998 [Google Scholar] [Crossref]

37. Gebert-Persson, S., Gidhagen, M., Sallis, J.E. & Lundberg, H. (2019), Online insurance claims: when more than trust matters. International Journal of Bank Marketing, 37(2), 579-594. [Google Scholar] [Crossref]

38. George, D. & Mallery, M. (2010). SPSS for Windows Step by Step: A Simple Guide and Reference, 17.0 Update, 10th Edition, Pearson, Boston. [Google Scholar] [Crossref]

39. Hair, J.F., Hult, G.T.M., Ringle, C. & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modelling (PLS-SEM), SAGE Publication. [Google Scholar] [Crossref]

40. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning. [Google Scholar] [Crossref]

41. Hamid, N. R. A., & Cheng, A. Y. (2020). A Risk Perception Analysis on The Use of Electronic Payment Systems by Young Adult. WSEAS Transactions on Information Science and Applications, 1(10), 26–35. [Google Scholar] [Crossref]

42. Hamner, M. & Qazi, R. (2009). Expanding the technology acceptance model to include additional factors such as personal utility. Government Information Quarterly, 26, 128-136. [Google Scholar] [Crossref]

43. Hamzah, M. Z., Rahim, H., Abdul Rasool, M. S., Abdul Khir, M. F., & Zakaria, N. B. (2023). Ease and Usefulness of Zakat E-Payment: The Mediating Role of Attitude Towards Intention. Journal of Nusantara Studies (JONUS), 8(3), 408-428. [Google Scholar] [Crossref]

44. Haryanto, R., Bakri, A. A., Samosir, H. E. S., Idris, D. L., Fauzan, T. R., & Agustina, W. (2023). Digital Literacy and Determinants of Online Zakat Payments Lessons from Indonesia Experience with UTAUT. Journal of Law and Sustainable Development, 11(4), 1–18. [Google Scholar] [Crossref]

45. Hasyim, F., Awwal, M., & Al Amin, N. (2020). ZISWAF digital payment as an effort to reach millennials. Economica: Jurnal Ekonomi Islam, 11(2), 183-210. [Google Scholar] [Crossref]

46. 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 [Google Scholar] [Crossref]

47. Hu, Z., Ding, S., Li, S., Chen, L., & Yang, S. (2019). Adoption intention of fintech services for bank users: An empirical examination with an extended technology acceptance model. Symmetry, 11(3). https://doi.org/10.3390/sym11030340 [Google Scholar] [Crossref]

48. Hudaefi, F.A. & Beik, I.S. (2020). Digital zakat campaign in time of covid-19 pandemic in Indonesia: an ethnographic study. Journal of Islamic Marketing, 12(3), 498-517. [Google Scholar] [Crossref]

49. Hussein, Z. (2017). Leading to intention: the role of attitude in relation to technology acceptance model in E-Learning. Procedia Computer Science, 105, 159-164. [Google Scholar] [Crossref]

50. Idris, K.M., Ali, E.I.E. & Ali, J. (2003). The role of intrinsic motivational factors on compliance behaviour of zakat on employment income. Jurnal Pembangunan Sosial, 6/7, 95-122. [Google Scholar] [Crossref]

51. Jamshidi, D., & Hussin, N. (2016). Forecasting patronage factors of Islamic credit card as a new e-commerce banking service: An integration of TAM with perceived religiosity and trust. Journal of Islamic Marketing, 7(4), 378–404. [Google Scholar] [Crossref]

52. Jibril, A. B., Kwarteng, M. A., Botchway, R. K., Bode, J., & Chovancova, M. (2020). The impact of online identity theft on customers’ willingness to engage in e-banking transaction in Ghana: A technology threat avoidance theory. Cogent Business & Management, 7(1). https://doi.org/10.1080/23311975.2020.1832825 [Google Scholar] [Crossref]

53. Juneman, (2013). Common Method Variance & Bias dalam Penelitian Psikologis. Jurnal Pengukuran Psikologi Dan Pendidikan Indonesia, 2(5), 364-381. [Google Scholar] [Crossref]

54. Kamal, S., Safarida, N., & Kassim, E. S. (2024). Investigating the role of fiqh zakat knowledge in moderating the behaviour of the Acehnese to pay zakat digitally. Journal of Islamic Marketing. https://doi.org/10.1108/JIMA-02-2023-0055 [Google Scholar] [Crossref]

55. Kasri, R.A. & Yuniar, A.M. (2021). Determinants of digital zakat payments: lessons from Indonesian experience. Journal of Islamic Accounting and Business Research, 12(3), 362-379. [Google Scholar] [Crossref]

56. Kasri, R. A., & Sosianti, M. W. (2023). Determinants of the intention to pay zakat online: the case of Indonesia. Journal of Islamic Monetary Economics and Finance, 9(2), 275–294. [Google Scholar] [Crossref]

57. Karmanto, G. D., Mahri, A. J. W., & Nurasyiah, A. (2021). Society intention in distribution of zakat, infaq and shadaqah (ZIS) through the use of crowdfunding platform. Falah: Jurnal Ekonomi Syariah, 6(1), 30-44. [Google Scholar] [Crossref]

58. Kashif, M., Sarifuddin, S., & Hassan, A. (2015). Charity donation: Intentions and behavior. Marketing Intelligence and Planning, 33(1), 90–102. [Google Scholar] [Crossref]

59. Kurniawan, I. A., Mugiono, M., & Wijayanti, R. (2022). The effect of perceived usefulness, perceived ease of use, and social influence toward intention to use mediated by trust. Jurnal Aplikasi Manajemen, 20(1), 117-127. [Google Scholar] [Crossref]

60. Lai, P. C. (2017). Security as an extension to TAM Model: consumers’ intention to use a single platform e-payment. Asia-Pacific Journal of Management Research and Innovation, 13(3–4), 110–119. [Google Scholar] [Crossref]

61. Liébana-Cabanillas, F., Ramos de Luna, I., & Montoro-Ríos, F. (2017). Intention to use new mobile payment systems: a comparative analysis of SMS and NFC payments. Economic Research-Ekonomska Istraživanja, 30(1), 892–910. https://doi.org/10.1080/1331677X.2017.1305784 [Google Scholar] [Crossref]

62. Lim, W. M., Gunasekara, A., Pallant, J. L., Pallant, J. I., & Pechenkina, E. (2023). Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators. The International Journal of Management Education, 21(2). https://doi.org/10.1016/j.ijme.2023.100790 [Google Scholar] [Crossref]

63. Liu, G. S., & Tai, P. T. (2016). A study of factors affecting the intention to use mobile payment services in Vietnam. Economics World, 4(6), 249-273. [Google Scholar] [Crossref]

64. Luarn, P., & Lin, H. H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873–891. [Google Scholar] [Crossref]

65. Majid, R. (2021). The Role of Religiosity in Explaining the Intention to use Islamic FinTech among MSME Actors. International Journal of Islamic Economics and Finance (IJIEF), 4(2), 207–232. [Google Scholar] [Crossref]

66. Makanyeza, C. (2017). Determinants of consumers’ intention to adopt mobile banking services in Zimbabwe. International Journal of Bank Marketing, 35(6), 997-1017. [Google Scholar] [Crossref]

67. Marafon, D. L., Basso, K., Espartel, L. B., de Barcellos, M. D., & Rech, E. (2018). Perceived risk and intention to use internet banking: The effects of self-confidence and risk acceptance. International Journal of Bank Marketing, 36(2), 277–289. [Google Scholar] [Crossref]

68. Marakarkandy, B., Yajnik, N. & Dasgupta, C. (2017). Enabling internet banking adoption: an empirical examination with an augmented technology acceptance model (TAM). Journal of Enterprise Information Management, 30(2), 263-294. [Google Scholar] [Crossref]

69. McKechnie, S., Winklhofer, H. & Ennew, C. (2006). Applying the technology acceptance model to the online retailing of financial services. International Journal of Retail & Distribution Management, 34(4/5), 388-410. [Google Scholar] [Crossref]

70. Meade, A. W., & Craig, S. B. (2012). Identifying careless responses in survey data. Psychological Methods, 17(3), 437–455. https://doi.org/10.1037/a0028085 [Google Scholar] [Crossref]

71. Muñoz-Murillo, M., Álvarez-Franco, P. B., & Restrepo-Tobón, D. A. (2020). The role of cognitive abilities on financial literacy: New experimental evidence. Journal of Behavioral and Experimental Economics, 84. https://doi.org/10.1016/j.socec.2019.101482 [Google Scholar] [Crossref]

72. Muflih, M. (2022). Muzakki ’s adoption of mobile service: integrating the roles of technology acceptance model (TAM), perceived trust and religiosity. Journal of Islamic Accounting and Business Research, 14. 10.1108/JIABR-09-2021-0273 [Google Scholar] [Crossref]

73. Mutmainah, L., Berakon, I, & Yusfiarto, R. (2024). Does financial technology improve intention to pay zakat during national economic recovery? A multi-group analysis. Journal of Islamic Marketing, 15(6), 1583–1607. https://doi.org/10.1108/JIMA-09-2022-0268 [Google Scholar] [Crossref]

74. Muthi’ah, S., Syauqi Beik, I., & Endri, D. (2021). Analisis faktor penentu tingkat kepatuhan membayar zakat (Studi pada BAZNAS DKI Jakarta). Iltizam Journal of Shariah Economics Research, 5(1), 48–62. [Google Scholar] [Crossref]

75. Ninglasari, S. (2021). Determinants of online zakat intention amongst Muslim millennials: An integration of technology acceptance model and theory of planned behavior. Shirkah: Journal of Economics and Business, 6(2), 227-245. [Google Scholar] [Crossref]

76. Oktavendi, T.W. & Mua'ammal, I. (2021). The role of risk, trust, social influence on ZIS online payment adoption: Generation-Z perspectives. Jurnal Reviu Akuntansi dan Keuangan, 11, 430-446. [Google Scholar] [Crossref]

77. Othman, Y., Yusuff, M.S.S., Sauf, M.S.A.M. & Hafsha, S. (2017). The influence of knowledge, Islamic religiosity and self-efficacy on the intention to pay income zakat among public educators in Kedah, Malaysia. International Journal of Academic Research in Business and Social Sciences, 7(11), 1117-1127. [Google Scholar] [Crossref]

78. Ozturk, A.B. (2016). Customer acceptance of cashless payment systems in the hospitality industry. International Journal of Contemporary Hospitality Management, 28(4), 801-817. [Google Scholar] [Crossref]

79. Pavlou, P.A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 69-103. [Google Scholar] [Crossref]

80. Peng, D.X. & Lai, F. (2012). Using partial least squares in operations management research: a practical guideline and summary of past research. Journal of Operations Management, 30(6), 467-480. [Google Scholar] [Crossref]

81. Purbasari, L. T., Ratnasari, R. T., & Ab Rahman, A. (2023). Digital wallet adoption for repeat infaq payment: Integrating Religiosity – Intention Model. Jurnal Syariah, 30(1), 34–75. [Google Scholar] [Crossref]

82. Rahim, H., Muhd Irpan, H., Zakaria, N. B., Abdul Khir, M. F., & Ahammad, S. F. (2024). Perceived usefulness and attitude toward intention and acceptance of e-payment zakat. Journal of Nusantara Studies (JONUS), 9(1), 320–344. [Google Scholar] [Crossref]

83. Ramayah, T. & Malhotra, P. (2006). The role of perceived usefulness, perceived ease of use, perceived credibility, perceived behavioral control and subjective norm on intention to use internet banking. The International Journal of Technology, Knowledge, and Society, 2(6), 83-90. [Google Scholar] [Crossref]

84. Renko, S. & Popovic, D. (2015). Exploring the consumers’ acceptance of electronic retailing using technology acceptance model. Poslovna Izvrsnost – Business Excellence, 9(1), 29-40. [Google Scholar] [Crossref]

85. Rind, M., Hyder, M., Saand, A.S., Alzabi, T., Nawaz, H. & Ujan, I. (2017). Impact investigation of perceived cost and perceived risk in mobile commerce: analytical study of Pakistan. International Journal of Computer Science and Network Security, 17(11), 124-130. [Google Scholar] [Crossref]

86. Rogers, E. (1995). The Diffusion of Innovation, 4th ed., The Free Press, New York, NY. [Google Scholar] [Crossref]

87. Saad, R.A.J., Farouk, A.U. & Abdul Kadir, D. (2020). Business zakat compliance behavioral intention in a developing country. Journal of Islamic Accounting and Business Research, 11(2), 511-530. [Google Scholar] [Crossref]

88. Salleh, M.C.M. & Chowdhury, M.A.M. (2020). Technological transformation in Malaysian zakat institutions. International Journal of Zakat, 5(3), 44-56. [Google Scholar] [Crossref]

89. Schepers, J. & Wetzels, M. (2007). A meta-analysis of the technology acceptance model: investigating subjective norm and moderation effects. Information & Management, 44(1), 90-103. [Google Scholar] [Crossref]

90. Sedjati, D.P., Basri, Y.Z. & Hasanah, U. (2018). Analysis of factors affecting the payment of zakat in special capital region (DKI) of Jakarta. International Journal of Islamic Business and Management, 2(1), 24-34. [Google Scholar] [Crossref]

91. Siagian, H., Tarigan, Z.J.H., Basana, S. R., & Basuki, R. (2022). The effect of perceived security, perceived ease of use, and perceived usefulness on consumer behavioral intention through trust in digital payment platform. International Journal of Data and Network Science, 6(3), 861–874. [Google Scholar] [Crossref]

92. Sharma, S. K., Govindaluri, S. M., Al-Muharrami, S., & Tarhini, A. (2017). A multi-analytical model for mobile banking adoption: A developing country perspective. Review of International Business and Strategy, 27(1), 133–148. [Google Scholar] [Crossref]

93. Shree, S., Pratap, B., Saroy, R., & Dhal, S. (2021). Digital payments and consumer experience in India: A survey based empirical study. Journal of Banking and Financial Technology, 5, 1–20. [Google Scholar] [Crossref]

94. Suhartanto, D., Dean, D., Ismail, T.A.T. & Sundari, R. (2020). Mobile banking adoption in Islamic banks: integrating TAM model and religiosity-intention model. Journal of Islamic Marketing, 11(6), 1405-1418. [Google Scholar] [Crossref]

95. Sun, S., Goh, T., Fam, K.S., & Xue, Y. (2012). The influence of religion on Islamic mobile phone banking services adoption. Journal of Islamic Marketing, 3(1), 81-98. [Google Scholar] [Crossref]

96. Surendran, P. (2012). Technology acceptance model: A survey of literature. International Journal of Business and Social Research, 2(4), 175-178. [Google Scholar] [Crossref]

97. Susanto, P., Hoque, M.E., Hashim, N.M.H.N., Shah, N.U. & Alam, M.N.A. (2020). Moderating effects of perceived risk on the determinants–outcome nexus of e-money behaviour. International Journal of Emerging Markets, https://doi.org/10.1108/IJOEM-05-2019-0382. [Google Scholar] [Crossref]

98. Thaker, M. H., Thaker, M. A., Khaliq, A., Pitchay, A., & Hussain, H. (2021). Behavioural intention and adoption of internet banking among clients of Islamic banks in Malaysia: An analysis using UTAUT2. Journal of Islamic Marketing. https://doi.org/10.1108/JIMA-11-2019-0228 [Google Scholar] [Crossref]

99. The Malaysian Reserve. (2024, November 13). Federal Territory’s zakat collection exceeds RM800m in 2021. [Google Scholar] [Crossref]

100. Tumewu, F. J., Pontoh, M. A. H., Worang, F. G., & Tumewu, F. J. (2022). The influence of perceived ease of use, perceived risk, and consumer trust towards merchant intention in using QRIS as a digital payment method. Emba, 10(3), 904–913. [Google Scholar] [Crossref]

101. Usman, H., Mulia, D., Chairy, C., & Widowati, N. (2022). Integrating trust, religiosity and image into technology acceptance model: the case of the Islamic philanthropy in Indonesia. Journal of Islamic Marketing, 13(2), 381–409. [Google Scholar] [Crossref]

102. 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. [Google Scholar] [Crossref]

103. Venkatesh, V., Thong, J. and 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. [Google Scholar] [Crossref]

104. Widiastuti, T., Mawardi, I., Samer Ali, A. S., Atiya, N., Rani, L. N., Robani, A. B., & Al Mustofa, M. U. (2024). Determinant factors for online cash waqf intention among Muslim millennial generation. Journal of Islamic Marketing. https://doi.org/10.1108/JIMA-12-2023-0408 [Google Scholar] [Crossref]

105. Yaakub, N., Ramli, N. M., Muhamed, N. A., & Muhammad, I. (2017). Application of online payment at Pusat Zakat Negeri Sembilan. Jurnal Ilmi, 7, 99-108. [Google Scholar] [Crossref]

106. Yi, M. & Hwang, Y. (2003). Systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59, 431-449. [Google Scholar] [Crossref]

107. Younus, T. S., & Ahmad, R. (2021). Zakat management and economic sustainability: United Arab Emirates model. In Impact of Zakat on Sustainable Economic Development (pp. 108-119). IGI Global. [Google Scholar] [Crossref]

108. Yusfiarto, R., Setiawan, A., & Nugraha, S. S. (2020). Literacy and Intention to Pay Zakat. International Journal of Zakat, 5(1), 15–27. [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles