Behavior Intention to Use Online Zakat: Application of Technology Acceptance Model with Development

Purwanto Purwanto, Muhammad Sulthon, Milna Wafirah

Abstract


Indonesia is one of the countries with the largest Muslim population in the world, but the level of zakat is not too high. This can be seen from the low amount of zakat that has been successful compared to the potential for zakat. In view of this fact, the Zakat Management Organization (OPZ) implements a digitalization strategy for collecting zakat funds, including the Magelang Regency. This study was conducted to understand the intention of the community/muzakki to pay zakat online. This study uses the Technology Acceptance Model (TAM) theoretical framework by adding a moderating variable to electronic word of mouth (eWOM). This study used a quantitative approach with 135 respondents. Data were collected randomly from the Internet (online). Structural equation modeling (SEM) and partial least squares (PLS) were used for data analysis. The findings of this study suggest that attitudes can be expressed by perceived ease of use, perceived usefulness, and electronic word of mouth (eWOM). Meanwhile, behavioral intention in this study proved to be reliable by electronic word of mouth (eWOM) and attitude. The results of the moderation effect test prove that electronic word of mouth (eWOM) in this study weakens the relationship between perceived ease of use (PEoU) and attitude. Electronic word of mouth (eWOM) can assess the relationship between perceived usefulness (PU) and attitudes and behavioral intentions.


Keywords


Perceived ease of use; Prceived usefulness; Attitude; dan Behavior intention.

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Al-Maghrabi, T., & Dennis, C. (2011). What Drives Consumers’ Continuance Intention to e-shopping?: Conceptual Framework and Managerial Implications in the Case of Saudi Arabia. International Journal of Retail and Distribution Management, 39(12), 899–926. https://doi.org/10.1108/09590551111183308

Amoroso, D. L., & Hunsinger, S. (2009). Measuring the Acceptance of Internet Technology by Consumers. International Journal of E-Adoption, 1(3), 48–81. https://doi.org/10.4018/jea.2009092903

Arora, N., & Aggarwal, A. (2018). The Role of Perceived Bbenefits in Formation of Online Shopping Attitude Among Women Shoppers in India. South Asian Journal of Business Studies, 7(1), 91–110. https://doi.org/10.1108/SAJBS-04-2017-0048

Beik, I. S., & Irawan, T. (2017). Dampak zakat terhadap kemiskinan dan kesejahteraan mustahik (Kasus: BAZNAS provinsi Jawa Tengah). Al-Muzara’ah, 5(1), 37–50. https://doi.org/https://doi.org/10.29244/jam.5.1.37-50

Celik, H. (2011). Influence of Social Norms, Perceived Playfulness and Online Shopping Anxiety on Customers’ Adoption of Online Retail Shopping: An Empirical Study in the Turkish Context. International Journal of Retail & Distribution Management, 39(6), 390–413. https://doi.org/10.1108/02656710210415703

Chawla, D., & Joshi, H. (2018). Consumer attitude and intention to adopt mobile wallet in India – An empirical study. International Journal of Bank Marketing, 37(7), 1590–1618. https://doi.org/10.1108/IJBM-09-2018-0256

Chen, C. H., Nguyen, B., Klaus, P. “Phil,” & Wu, M. S. (2015). Exploring Electronic Word-of-Mouth (eWOM) in The Consumer Purchase Decision-Making Process: The Case of Online Holidays – Evidence from United Kingdom (UK) Consumers. Journal of Travel and Tourism Marketing, 32(8), 953–970. https://doi.org/10.1080/10548408.2014.956165

Cheung, C. M. K., Lee, M. K. O., & Thadani, D. R. (2009). The Impact of Positive Electronic Word of Mouth on Consumer Online Purchasing Decision. In Visioning and Engineering the Knowledge Society: A Web Science Perspective: Second World Summit on the Knowledge Society (Vol. 5736, hal. 501–510). https://doi.org/10.1007/978-3-642-04754-1_51

Darsono, L. I. (2005). Examining Information Technology Acceptance by Individual Professionals. Gadjah Mada International Journal of Business, 7(2), 155–178. https://doi.org/10.22146/gamaijb.5576

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.5962/bhl.title.33621

Dirgantari, P. D., Hidayat, Y. M., Mahphoth, M. H., & Nugraheni, R. (2020). Level of Use and Satisfaction of E-Commerce Customers in Covid-19 Pandemic Period : An Information System Success Model (ISSM) Approach. Indonesian Journal of Science & Technology, 5(2), 86–95. https://doi.org/https://doi.org/10.17509/ijost.v5i2.24617

Eagly, A. H., & Chaiken, S. (2007). The Advantages of An Inclusive Definition of Attitude. Social Cognition, 25(5), 582–602. https://doi.org/10.1521/soco.2007.25.5.582

Farooq, R., & Vij, S. (2017). Moderating Variables in Business Research. The IUP Journal of Business Strategy, 14(4), 34–54. https://ssrn.com/abstract=3219666

Fathema, N., Shannon, D., & Ross, M. (2015). Expanding The Technology Acceptance Model (TAM) to Examine Faculty Use of Learning Management Systems (LMSs) In Higher Education Institutions. MERLOT Journal of Online Learning and Teaching, 11(2), 210–232.

Febrian, A., & Fadly, M. (2021). The Impact of Customer Satisfaction with EWOM and Brand Equity on E-Commerce Purchase Intention in Indonesia Moderated by Culture. Binus Business Review, 12(1), 41–51. https://doi.org/10.21512/bbr.v12i1.6419

Ghozali, I., & Latan, H. (2015). Partial Least Square Konsep, Teknik, dan Aplikasi Menggunakan Program SmartPLS 3.0 untuk Penelitian Empiris. Semarang: Badan Penerbit Universitas Diponegoro.

GlobalWebIndex. (2019). Digital 2019 Spotliht: Ecommerce in Indonesia. Diambil dari https://datareportal.com/reports/digital-2019-ecommerce-in-indonesia

Gottems, L. B. D., Carvalho, E. M. P. De, Guilhem, D., & Pires, M. R. G. M. P. (2018). Good Practices in Normal Childbirth: Reliability Analysis of an Instrument by Cronbach ’ s Alpha. Revista Lationo-Americana de Efermagem, 26(3), 1–8. https://doi.org/10.1590/1518-8345.2234.3000

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202

He, Y., Chen, Q., & Kitkuakul, S. (2018). Regulatory Focus and Technology Acceptance: Perceived Ease of use and Usefulness as efficacy. Cogent Business and Management, 5(1), 0–22. https://doi.org/10.1080/23311975.2018.1459006

Henseler, J., Ringle, C., & Sinkovics, R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20, 277–319. https://doi.org/10.1108/S1474-7979(2009)0000020014

Hidayanto, A. N., Ovirza, M., Anggia, P., Budi, N. F. A., & Phusavat, K. (2017). The Roles of Electronic Word of Mouth and Information Searching in the Promotion of a New E-commerce Strategy: A case of Online Group Buying in Indonesia. Journal of Theoretical and Applied Electronic Commerce Research, 12(3), 69–85. https://doi.org/10.4067/S0718-18762017000300006

Hossen, M. M., Chan, T. J., & Hasan, N. A. M. (2020). Mediating role of job satisfaction on internal corporate social responsibility practices and employee engagement in higher education sector. Contemporary Management Research, 16(3), 207–227. https://doi.org/10.7903/CMR.20334

Ichwan, A., & Ghofur, R. A. (2020). Pengaruh technology acceptance model terhadap keputusan muzakki membayar zakat melalui fintech gopay. Jurnal Ilmiah Ekonomi Islam, 6(2), 129–135. https://doi.org/10.29040/jiei.v6i2.1011

Islam, M. T., & Khan, M. T. A. (2019). Factors influencing the adoption of crowdfunding in Bangladesh: a study of start-up entrepreneurs. Information Development, 37(1), 72–89. https://doi.org/https://doi.org/10.1177/0266666919895554

Jalilvand, M. R., & Samiei, N. (2012). The impact of Electronic Word of Mouth on a Tourism Destination Choice. Internet Research, 22(5), 591–612. https://doi.org/10.1108/10662241211271563

Karmanto, G. D., & Baskoro, B. D. (2020). Penggunaan platform crowdfunding dalam menyalurkan zakat, infaq, dan shadaqah (zis): studi intensi masyarakat. Jurnal Ekonomi dan Manajemen, 2(2), 1–15.

Karmanto, G. D., Mahri, A. J. W., & Nurasyiah, A. (2021). Society ’s intention in distribution of zakat, infaq and shadaqah (ZIS) through the use of crowdfunding platform. Falah: Jurnal Ekonomi Syariah, 6(1), 30–44. https://doi.org/https://doi.org/10.22219/jes.v6i1.15133

Kholid, M. N. (2018). Keberterimaan muzaki terhadap zakat crowdfunding di Indonesia: preliminary research pendahuluan. CIMAE: Conference on Islamic Management Accounting and Economics, 1(1), 52–58. Diambil dari https://journal.uii.ac.id/CIMAE/article/view/11682

Kim, J. S., Kaye, J., & Wright, L. K. (2001). Moderating and Mediating Effects in Causal Models. Issues in Mental Health Nursing, 22(1), 63–75. 10.1080/016128401750158768

Kudeshia, C., & Kumar, A. (2017). Social eWOM: Does it Affect the Brand Attitude and Purchase Intention of Brands? Management Research Review, 40(3), 310–330. https://doi.org/10.1108/MRR-07-2015-0161

Kusnendi. (2005). Analisis Jalur Konsep dan Aplikasi dengan Program SPSS dan. Lisrel 8. Bandung: UPI. Bandung: UPI.

Lee, H. H., Fiore, A. M., & Kim, J. (2006). The role of the technology acceptance model in explaining effects of image interactivity tTechnology on consumer responses. International Journal of Retail and Distribution Management, 34(8), 621–644. https://doi.org/10.1108/09590550610675949

Lee, M. K. O., Shi, N., Cheung, C. M. K., Lim, K. H., & Sia, C. L. (2011). Consumer’s Decision to Shop Online: The Moderating Role of Positive Informational Social Influence. Information and Management, 48(6), 185–191. https://doi.org/10.1016/j.im.2010.08.005

Leong, L. W., Ibrahim, O., Dalvi-Esfahani, M., Shahbazi, H., & Nilashi, M. (2018). The Moderating Effect of Experience on the Intention to Adopt Mobile Social Network Sites for Pedagogical Purposes: An Extension of the Technology Acceptance Model. Education and Information Technologies, 23(6), 2477–2498. https://doi.org/10.1007/s10639-018-9726-2

Ma, Y. J., Gam, H. J., & Banning, J. (2017). Perceived ease of use and usefulness of sustainability labels on apparel products: application of the technology acceptance model. Fashion and Textiles, 4(3), 1–20. https://doi.org/10.1186/s40691-017-0093-1

Madjid, I., Ma’ruf, J. J., Ibrahim, M., & Havizatun, M. (2018). Factors Affecting Online Shopping Attitudes and the Role of Trust as Mediating. International Journal of Management and Economics Invention, 04(09), 1929–1935. https://doi.org/10.31142/ijmei/v4i9.04

Mahaputra, D. G. K., & Setiawan, P. Y. (2019). Peran Sikap Memediasi Pengaruh Electronic Word of Mouth Terhadap Keputusan Berkunjung. E-Jurnal Manajemen Universitas Udayana, 8(12), 7326. https://doi.org/10.24843/ejmunud.2019.v08.i12.p21

Memon, Y. J., Azhar, S. M., Haque, R., & Bhutto, N. A. (2019). Religiosity as a moderator between theory of planned behavior and halal purchase intention. Journal of Islamic Marketing, 10(4), 1351–1372.

Muslichah. (2018). The Effect of Self Efficacy and Information Quality on Behavioral Intention with Perceived Usefulness asIntervening Variabl. Journal of Accounting – Business & Management, 25(1), 21–34. https://doi.org/10.31966/jabminternational.v1i25.327

Nguyen, T. T. H., Nguyen, N., Nguyen, T. B. L., Phan, T. T. H., Bui, L. P., & Moon, H. C. (2019). Investigating Consumer Attitude and Intention Towards online food Purchasing in an Emerging Economy: An extended TAM approach. Foods, 8(11), 1–15. https://doi.org/10.3390/foods8110576

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

Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004). Consumer acceptance of online banking: An extension of the technology acceptance model. Internet Research, 14(3), 224–235. https://doi.org/10.1108/10662240410542652

Purwanto. (2018). Teknik penyusunan instrumen uji validitas dan reliabilitas penelitian ekonomi syariah. Magelang: StaiaPress.

Purwanto, P. (2021). Society Attitudes and Intentions To Use Products In Sharia Bank of Aceh : The Role of Religiosity and Social Influence. ABAC Journal, 41(2), 223–242.

Puskas BAZNAS. (2020). Outlook Zakat Indonesia 2020. Jakarta: Puskas BAZNAS.

Rachbini, W., & Agustina, A. (2019). Customer style inventory, the usage of Facebook, and purchase intention: are they connected? Jurnal Siasat Bisnis, 23(1), 67–81. https://doi.org/10.20885/jsb.vol23.iss1.art6

Roy, G., Datta, B., & Mukherjee, S. (2019). Role of electronic word-of-mouth content and valence in influencing online purchase behavior. Journal of Marketing Communications, 25(6), 661–684. https://doi.org/10.1080/13527266.2018.1497681

Roziq, A., Wijayanti, C., & Irmadariyani, R. (2020). Modification of TAM model application of system of information of management of BAZNAS in Indonesia. International Journal of Scientific and Technology Research, 9(4), 1889–1893.

Sholihin, M., & Ratmono, D. (2013). Analisis SEM-PLS dengan WarpPLS 3.0 untuk hubungan nonlinier dalam penelitian sosial dan bisnis. Yogyakarta: Andi.

Streukens, S., & Leroi-Werelds, S. (2016). Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results. European Management Journal, 34(6), 1–15. https://doi.org/10.1016/j.emj.2016.06.003

Sulaeman. (2020). Factors determining behavioral intentions to use Islamic crowdfunding platform in times of Covid-19 in Indonesia: Evidence from TAM approach. Jurnal Ekonomi & Keuangan Islam, 7(1), 31–44. 10.20885/jeki.vol7.iss1.art3

Sulthon, M. (2015). Dakwah dan sadaqat: Rekonseptualisasi dan rekonstruksi gerakan dakwah awal. Yogyakarta: Pustaka Pelajar.

Tehseen, S., Ramayah, T., & Sajilan, S. (2017). Testing and Controlling for Common Method Variance: A Review of Available Methods. Journal of Management Sciences, 4(2), 142–168. https://doi.org/10.20547/jms.2014.1704202

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, 31(1), 1–49. https://doi.org/10.1108/JIMA-01-2020-0020

Utami, P., Suryanto, T., Nasor, M., & Ghofur, R. A. (2020). The effect digitalization zakat payment against potential of zakat acceptance in National Amil Zakat Agency. Iqtishadia, 13(2), 216. https://doi.org/10.21043/iqtishadia.v13i2.7809

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/10.1006/mvre.1994.1019

Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: The case for an augmented technology acceptance model. Information and Management, 41(6), 747–762. https://doi.org/10.1016/j.im.2003.08.011

Yusfiarto, R., Setiawan, A., & Nugraha, S. S. (2020). Literacy and Intention to Pay Zakat : A Theory Planned Behavior View Evidence from Indonesian Muzakki. International Journal of Zakat, 5(1), 15–27. https://doi.org/10.37706/ijaz.v5i1.221

Zhang, K., Cheung, C., & Lee, M. (2014). Examining the moderating effect of inconsistent reviews and its gender differences on consumers’ online shopping decision. International Journal of Information Management, 34(2), 89–98. 10.1016/j.ijinfomgt.2013.12.001

Ziadat, M. T. A. L. (2015). Applications of Planned Behavior Theory (TPB) in Jordanian Tourism. International Journal of Marketing Studies, 7(3), 95–106. https://doi.org/10.5539/ijms.v7n3p95




DOI: http://dx.doi.org/10.21043/ziswaf.v8i1.10457

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