THE EFFECT OF PERCEIVED USEFULNESS, PERCEIVED EASE OF USE, AND SOCIAL INFLUENCE TOWARD INTENTION TO USE MEDIATED BY TRUST
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This research analyses the effect between perceived usefulness, perceived ease of use, social influence, trust, and intention to use on a digital zakat application at Malang City. The object of this research utilizes people who are 23 years of age and over. Besides, they are required to have income, know about a digital zakat application, and are required to pay zakat using the application. This research used a nonprobability sampling method with a purposive sampling technique of 104 respondents. It also utilized smartPLS 3.0 as data analysis. The research instruments involve the inner model test, outer model, conversion path diagram, and hypothesis testing. The result of the analysis reveals perceived usefulness, perceived ease of use, social influence, and trust explicitly affect intention to use the digital zakat application. Trust can mediate the influence of perceived usefulness, perceived ease of use, and social influence toward intention to use. Social Influence and Trust have a dominant influence on intention to use. In this case, service facility providers can promote digital zakat applications through any media to reach potential consumers. It can help them give some recommendations about the use of zakat applications. Moreover, it will help create trust in consumers about using digital zakat applications.
Adams, D. A., Nelson, R. R., and Todd, P. .1992. Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication. MIS Quarterly, 16(2), pp. 227–247.
Afshan, S. and Sharif, A. 2016. Acceptance of Mobile Banking Framework in Pakistan. Telematics and Informatics, 33(2), pp. 370–387.
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 - JET-M, 57(July 2019), p. 101585.
Baabdullah, A. M. 2018. Consumer adoption of Mobile Social Network Games (M-SNGs) in Saudi Arabia: The role of social influence, hedonic motivation, and trust. Technology in society, 53, pp. 91–102.
Brengman, M. and Karimov, F. 2012. The Effect of Web Communities on Consumers Initial Trust in B2C E-Commerce Websites. Management Research Review, 35(9), pp. 791–817.
Davis, F. D. 1986. A Technology Acceptance Model for Empirically Testing New End User Information Systems: Theory and Results. Computer Science, (1986), pp. 233–250.
Davis, F. D. 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(5), pp. 319–339.
Gefen, Karahanna, and Straub. 2003. Trust and Tam in Online Shopping: an Integrated Model. MIS Quarterly, 27(1), pp. 51–90.
Gong, Z., Han, Z., Li, X., Yu, C., and Reinhardt, J. D. 2019. Factors Influencing the Adoption of Online Health Consultation Services: The Role of Subjective Norm, Trust, Perceived Benefit, and Offline Habit. Frontiers in Public Health, 7(October), pp. 1–9.
Hsu, C., Lin, Y. and Chen, M. 2017. Investigating The Determinants of E-Book Adoption. Program: electronic library and information systems, 51(1), pp. 2–16.
Kaabachi, S., Ben Mrad, S. and O'Leary, B. 2019. Consumer's Initial Trust Formation in IOB's Acceptance: The Role of Social Influence and Perceived Compatibility. International Journal of Bank Marketing, 37(2), pp. 507–530.
Khawaja, K. F. 2017. Why Should I Trust ICT ? An Empirical Study Examining Teachers and Students Usage of ICT for Knowledge Sharing and Seeking. International Conference on Advances in Business and Law (ICABL), 2017, pp. 419–439.
Kim, Y. A. and Srivastava, J. 2007. Impact of Social Influence in E-Commerce Decision Making. Proceedings of the Ninth International Conference on Electronic Commerce - ICEC 07, pp. 293–301.
Lafraxo, Y. Hadri., Amhal, H., and Rossafi. 2018. The Effect of Trust, Perceived Risk, and Security on The Adoption of Mobile Banking in Morocco. ICEIS 2018 - Proceedings of the 20th International Conference on Enterprise Information Systems, 2 (Iceis), pp. 497–502.
Legris, P., Ingham, J. and Collerette, P. 2003. Why do People Use Information Technology? A Critical Review of The Technology Acceptance Model. Information & Management, 40, pp. 191–204.
Lu, J. 2014. Are Personal Innovativeness and social Influence Critical to Continue With Mobile Commerce ?. Internet Research, 24(2), pp. 134–159.
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), pp. 37–41.
Pimmer, C. 2016. Mobile Learning As Boundary Crossing : An Alternative Route to Technology Enhanced Learning ?. Interactive Learning Environments ISSN: 4820(March).
Rashotte, L. 2007. Social Influence. The Blackwell Encyclopedia of Sociology: 443/sociology/docs/BEOS_S1413, pp. 1–3.
Sarkar, S., Chauhan, S. and Khare, A. 2020. A Meta Analysis of Antecedents and Consequences of Trust in Mobile Commerce. International Journal of Information Management, 50(March 2019), pp. 286–301.
Septiani, R., Handayani, P. W., and Azzahro, F. 2017. Factors that Affecting Behavioral Intention in Online Transportation Service: Case study of GO-JEK. Procedia Computer Science, 124, pp. 504–512.
Sharma, S. K., Al Badi, A., Rana, N. P., & Al-Azizi, L. 2018. Mobile Applications in Government Services (mG-App) from User's Perspectives: A Predictive Modelling Approach. Government Information Quarterly, 35(4), pp. 557–568.
Siau, B. K. and Shen, Z. 2003. Building Customer Trust in Mobile Commerce. Communications of the ACM, 46(4), pp. 91–94.
Singh, N. and Sinha, N. 2019. How Perceived Trust Mediates Merchant's Intention to Use a Mobile Wallet Technology. Journal of Retailing and Consumer Services, 52(July 2019), p. 101894.
Suki, N. M., Ramayah, T., and Ly, K. K. 2011. Empirical Investigation on Factors Influencing the Behavioral Intention to Use Facebook. Universal Access in the Information Society, 11(2), pp. 223–231.
Venkatesh and Davis. 2000. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), pp. 186–204.
Venkatesh, V. 1999. Creation of Favorable User Perceptions: Exploring The Role of Intrinsic Motivation. MIS Quarterly, 23(2), pp. 239–260.
Venkatesh, V. 2000. Determinants of Perceived Ease of Use : Integrating Control, Intrinsic Motivation, Acceptance Model. Inorganic Chemistry Communications, 11(3), pp. 319–340.
Venkatesh, Morris, Davis, and Davis. 2003. User Acceptance of Information Technology: Toward A Unified View. MIS Quarterly, 27(3), pp. 425–478.
Venkatesh, V. and Davis, F. D. 1996. A Model of The Antecedents of Perceived Ease of Use: Development and Test. Decision Sciences, 27(3), pp. 451–481.
Zaenal, M. H. 2020. Indikator Pemetaan Potensi Zakat (IPPZ). Books - Puskas Baznas, [S.l.], v. 4.
