Antecedents of Behavioral Intention to Adopt Sharia Digital Services in ZISWAF Distribution
Abstract
Research Originality: Indonesia, the fourth-most populous country after India, China, and the USA, has the largest Muslim population in the world, with a population of 231 million Muslims, or almost 13% worldwide. The number of millennial Muslim generations is around 59.415 million, or 85 percent of the total number of millennials, making it a potential market. This paper contributes to the existing behavioral intention literature by focusing on the integration of Acceptance and Use of Technology 2 (UTAUT2), Diffusion of Innovation (DOI) theory, and Perceived Security (PS) theory towards sharia digital services.
Research Objectives: This research examines the antecedents of behavioral intention to adopt sharia digital services in ZISWAF distribution among the millennial Muslim generation in Indonesia.
Research Methods: This study used a quantitative approach with the Structural Equation Modeling (SEM) analysis method and involved 350 respondents in Indonesia. By adopting the theories of Theory of Acceptance and Use of Technology 2 (UTAUT2), Diffusion of Innovation (DOI) theory, and Perceived Security (PS).
Empirical Results: The study results show that performance expectancy, habit, price value, and compatibility have a positive and significant effect on behavioral intention to adopt sharia digital services in ZISWAF distribution. Furthermore, the price value variable is the strongest predictor of behavioral intention to adopt sharia digital services in ZISWAF distribution.
Implications: This research has important meaning for the Indonesian government, ZISWAF institutions, and application providers because it provides valuable insight into considering accelerating ZISWAF distribution among the millennial Muslim generation.
JEL Classification: Z12, L31
How to Cite:
Hariyanto., Ratnasari, R. T., Rusgianto, S., & Pitchay, A. A. (2024). Antecedents of Behavioral Intention to Adopt Sharia Digital Services in ZISWAF Distribution. Etikonomi, 23(1), 109 – 128. https://doi.org/10.15408/etk.v23i1.33892.
Keywords
References
Aji, H.M., Albari, A., Muthohar, M., Sumadi, S., Sigit, M., Muslichah, I., & Hidayat, A. (2021). Investigating the Determinants of Online Infaq Intention During the COVID-19 Pandemic: an Insight from Indonesia. Journal of Islamic Accounting and Business Research, 12(1), 1-20. https://doi.org/10.1108/JIABR-05-2020-0136.
Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R. (2018). Examining Factors Influencing Jordanian Customers’ Intention and Adoption of Internet Banking: Extending UTAUT2 with Risk. Journal of Retailing and Consumer Services, 40, 125-138.
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.
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.
Al Athar, M. D., & Al Arif, M. N. R. (2021). The Intention of Millenial Generation in Paying Zakat Through Digital Payments. International Journal of Islamic Business and Economics, 5(1), 38-47.
Amin, H. (2022). An Analysis of Online Sadaqah Acceptance among University Graduates in Malaysia. International Journal of Islamic and Middle Eastern Finance and Management, 15(6), 1019-1034. https://doi.org/10.1108/IMEFM-01-2019-0020.
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.
Bin-Nashwan, S.A. (2022). Toward diffusion of e-Zakat Initiatives Amid the COVID-19 Crisis and Beyond. Foresight, 24(2), 141-158.
Çera, G., Phan, Q. P. T., Androniceanu, A., & Çera, E. (2020). Financial Capability and Technology Implications for Online Shopping. E&M Economics and Management, 23(2), 156–172. https://doi.org/10.15240/tul/001/2020-2-011.
Chakraborty, S., & Mitra, D. (2018). A Study on Consumers Adoption Intention for Digital Wallets in India. International Journal on Customer Relations, 6(1), 38-57.
Cheng, T. E., Lam, D. Y., & Yeung, A. C. (2006). Adoption of Internet Banking: An Empirical Study in Hong Kong. Decision Support Systems, 42(3), 1558-1572.
Dewi, C. K., Mohaidin, Z., & Murshid, M. A. (2020). Determinants of Online Purchase Intention: A PLS-SEM Approach: Evidence from Indonesia. Journal of Asia Business Studies, 14(3), 281-306. https://doi.org/10.1108/JABS-03-2019-0086.
Dwivedi, Y.K., Rana, N.P., Jeyaraj, A. et al. (2019) Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model. Information System Frontier, 21, 719–734. https://doi.org/10.1007/s10796-017-9774-y.
El-Masri, M., Tarhini, A. Factors Affecting the Adoption of E-Learning Systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Education Technology Research Development, 65, 743–763.
Farah, M. F., Hasni, M. J. S. and Abbas, A. K. (2018). Mobile-Banking Adoption: Empirical Evidence from the Banking Sector in Pakistan. International Journal of Bank Marketing, 36(7), 1386-1413. https://doi.org/10.1108/IJBM-10-2017-0215.
Farzin, M., Sadeghi, M., Yahyayi Kharkeshi, F., Ruholahpur, H., & Fattahi, M. (2021). Extending UTAUT2 in M-banking adoption and actual use behavior: Does WOM communication matter? Asian Journal of Economics and Banking, 5(2), 136–157.
Ghozali, I. (2015). Structural Equation Modeling: Metode Alternatif dengan Partial Least Square (PLS). Semarang: Badan Penerbit Universitas Diponegoro
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.
Hair Jr., J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107. https://doi.org/10.1504/IJMDA.2017.087624
Herrero, Á., San Martín, H., & Garcia-De los Salmones, M. del M. (2017). Explaining the adoption of social networks sites for sharing user-generated content: A revision of the UTAUT2. Computers in Human Behavior, 71, 209–217.
Hudaefi, F., Zaenal, M., Farchatunnisa, H., & Junari, U. (2020). How Does Zakat Institution Respond to Fintech? Evidence from BAZNAS Indonesia. Working Papers - Puskas Baznas, 3.
Humbani, M., & Wiese, M. (2017). A Cashless Society for All: Determining Consumers’ Readiness to Adopt Mobile Payment Services. Journal of African Business, 19(3), 409-429.
Hussain, M., Mollik, A. T., Johns, R., & Rahman, M. S. (2019). M-payment Adoption for Bottom of Pyramid Segment: An Empirical Investigation. International Journal of Bank Marketing, 37(1), 362-381. https://doi.org/10.1108/IJBM-01-2018-0013.
Kailani, N., & Slama, M. (2019). Accelerating Islamic Charities in Indonesia: Zakat, Sedekah and the Immediacy of Social Media. South East Asia Research, 28(1), 70-86.
Kalinić, Z., Marinković, V., Djordjevic, A., & Liebana-Cabanillas, F. (2020). What Drives Customer Satisfaction and Word of Mouth in Mobile Commerce Services? A UTAUT2-based Analytical Approach. Journal of Enterprise Information Management, 33(1), 71-94. https://doi.org/10.1108/JEIM-05-2019-0136.
Karjaluoto, H., Shaikh, A. A., Leppäniemi, M., & Luomala, R. (2020). Examining Consumers’ Usage Intention of Contactless Payment Systems. International Journal of Bank Marketing, 38(2), 332-351. https://doi.org/10.1108/IJBM-04-2019-0155.
Kasri, R. A., & Chaerunnisa, S. R. (2020). The Role of Knowledge, Trust, and Religiosity in Explaining the Online Cash Waqf Amongst Muslim Millennials. Journal of Islamic Marketing, 13(6), 1334-1350. https://doi.org/10.1108/JIMA-04-2020-0101.
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.
Khan, I. U., Hameed, Z., & Khan, S. U. (2017). Understanding Online Banking Adoption in a Developing Country: UTAUT2 with Cultural Moderators. Journal of Global Information Management, 25(1), 43–65. https://doi.org/10.4018/JGIM.2017010103.
Kim, S. S., & Malhotra, N. K. (2005). A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena. Management Science, 51(5), 741–755. https://doi.org/10.1287/mnsc.1040.0326.
Koenig‐Lewis, N., Palmer, A., & Moll, A. (2010). Predicting Young Consumers' Take up of Mobile Banking Services. International Journal of Bank Marketing, 28(5), 410-432.
Kumar, A., Adlakaha, A, & Mukherjee, K. (2018). The Effect of Perceived Security and Grievance Redressal on Continuance Intention to Use M-Wallets in a Developing Country. International Journal of Bank Marketing, 36(7), 1170-1189.
Kuo, Y.-F., & Yen, S.-N. (2009). Towards an Understanding of the Behavioral Intention to Use 3G Mobile Value-added Services. Computers in Human Behavior, 25(1), 103–110.
Loehlin, J. C. (1998). Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis. New Jersey: Lawrence Erlbaum Associates
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.
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, 101151.
Migliore, G., Wagner, R., Cechella, F.S. Cabanillas (2022). Antecedents to the Adoption of Mobile Payment in China and Italy: an Integration of UTAUT2 and Innovation Resistance Theory. Information Systems Frontiers. 24, 2099–2122.
Mikalef, P., Giannakos, M., & Pateli, A. (2013). Shopping and Word-of-Mouth Intention on Social Media. Journal of Theoretical and Applied Electronic Commerce Research, 8(1), 17-34.
Miltgen, C. L., Popovič, A., & Oliveira, T. (2013). Determinants of End-user Acceptance of Biometrics: Integrating the “Big 3” of Technology Acceptance with Privacy Context. Decision Support Systems, 56, 103–114. https://doi.org/10.1016/j.dss.2013.05.010.
Morosan, C., & DeFranco, A. (2016). It’s About Time: Revisiting UTAUT2 to Examine Consumers’ Intention to Use NFC Mobile Payments in Hotels. International Journal of Hospitality Management, 53, 17–29. https://doi.org/10.1016/j.ijhm.2015.11.003
Muflih, M. (2023). 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(1), 21-33.
Niswah, F., Mutmainah, L., & Legowati, D. (2019). Muslim Millenial’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
Ogedengbe, F. A., & Talib, Y. Y. A. (2020). Factors Influencing Electronic Banking Continuance Usage Intention in Developing Economies: A Study of Nigeria. International Journal of Business Information Systems, 35(1), 63-70.
Oktavendi, T. W., & Mu'ammal, I. (2022). Acceptance Model for Predicting Adoption of Zakat, Infaq, and Sodaqoh (ZIS) Digital Payments in Generation Z. Journal of Islamic Accounting and Business Research, 13(4), 684-700.
Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile Payment: Understanding the Determinants of Customer Adoption and Intention to Recommend the Technology. Computers in Human Behavior, 61, 404–414.
Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding Consumer Adoption of Mobile Payment in India: Extending Meta-UTAUT Model with Personal Innovativeness, Anxiety, Trust, and Grievance Redressal. International Journal of Information Management, 54, 102144. https://doi.org/10.1016/j.ijinfomgt.2020.102144.
Pitchay, A. A., Thaker, M. A. M. T., Mydin, A. A., Azhar, Z., Latiff, A. R. A. (2018), Cooperative-Waqf Model: a Proposal to Develop Idle Waqf Lands in Malaysia. ISRA International Journal of Islamic Finance, 10(2), 225-236.
Pitchay, A. A., Mydin Meera, A. K., & Saleem, M. (2015). Factors Influencing the Behavioral Intention of Muslim Employees to Contribute to Cash-Waqf Through Salary Deductions. JKAU: Islamic Economics, 28(1), 57-90.
Puskas BAZNAS. (2022). Outlook Zakat Indonesia. Jakarta: Puskas BAZNAS
Putri, N. K. R. D., & Suardhika, I. M. S. (2020). Penerapan Model UTAUT 2 untuk Menjelaskan Niat dan Perilaku Penggunaan E-Money di Kota Denpasar. E- Jurnal Akuntansi, 30(2), 540–555
Ratnasari, R. T., Gunawan, S., Possumah, B. T., Rusmita, S. A., Widiastuti, T., & Herianingrum, S. (2019). Halal Food Certification for Improving the Competitiveness of Small and Medium Enterprises. Opcion, 35(22), 510-525.
Rusydiana, A. S., & Devi, A. (2018). Elaborating Cash Waqf Development in Indonesia Using Analytic Network. International Journal of Islamic Business and Economics (IJIBEC), 2(1), 1-13. https://doi.org/10.28918/ijibec.v2i1.1177.
Salisbury, W. D., Pearson, R. A., Pearson, A. W., & Miller, D. W. (2001). Perceived Security and World Wide Web Purchase Intention. Industrial Management & Data Systems, 101(4), 165-177. https://doi.org/10.1108/02635570110390071.
Sheikh, Z., Islam, T., Rana, S., Hameed, Z., & Saeed, U. (2017). Acceptance of Social Commerce Framework in Saudi Arabia. Telematics and Informatics, 34(8), 1693–1708.
Slade, E., Williams, M., Dwivedi, Y., & Piercy, N. (2014). Exploring Consumer Adoption of Proximity Mobile Payments. Journal of Strategic Marketing, 23(3), 209-223.
Suebtimrat, P., & Vonguai, R. (2021). An Investigation of Behavioral Intention Towards QR Code Payment in Bangkok, Thailand. Journal of Asian Finance, Economics and Business, 8, 939-950
Susanto, A., Chang, Y., & Ha, Y. (2016). Determinants of Continuance Intention to Use the Smartphone Banking Services: An Extension to the Expectation-Confirmation Model. Industrial Management & Data Systems, 116(3), 508-525.
Syafira, F. N., Ratnasari, R. T., & Ismail, S. (2020). The Effect of Religiosity and Trust on Intention to Pay in Ziswaf Collection Through Digital Payments. JEBIS (Jurnal Ekonomi dan Bisnis Islam), 6(1), 98-115. https://doi.org/10.20473/jebis.v6i1.17293
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.
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 Quartely, 36(1), 157e178. https://doi.org/10.2307/41410412.
Verkijika, S. F. (2018). Factors Influencing the Adoption of Mobile Commerce Applications in Cameroon. Telematics and Informatics, 35(6), 1665–1674.
Vijayasarathy, L. R. (2004). Predicting Consumer Intention to Use On-line Shopping: the Case for an Augmented Technology Acceptance Model. Information & Management, 41(6), 747–762. https://doi.org/10.1016/j.im.2003.08.011.
Yusof, M. F. M., Noordin, N., Suhaimi, A. I. H., & Harun, A. F. (2019). Online Waqf Acceptance in Malaysia. Journal of Engineering and Applied Sciences, 14, 9278-9283.
Zhou, T. (2014). Understanding the Determinants of Mobile Payment Continuance Usage. Industrial Management & Data Systems, 114(6), 936–948.
DOI: 10.15408/etk.v23i1.33892
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Ririn Tri Ratnasari, Hariyanto Hariyanto, Sulistya Rusgianto, Anwar Allah Pitchay
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.