Spiritual Quotient as an Extending the TAM Model: Gen Z Muslim’s Intention to Use Islamic E-Wallet

Anita Rahmawaty; Taufikin Taufikin; Puji  Astutik

doi:10.55927/ijar.v4i7.14912

Authors

Anita Rahmawaty UIN Sunan Kudus
Taufikin Taufikin UIN Sunan Kudus
Puji Astutik UIN Sunan Kudus

DOI:

https://doi.org/10.55927/ijar.v4i7.14912

Keywords:

Spiritual Quotient, Technology Acceptance Model, Perceived Ease of Use, Perceived Usefulness, Perceived Benefit

Abstract

This study explores the role of Spiritual Quotient (SQ) in adopting Islamic e-wallets using the Technology Acceptance Model (TAM) approach. The data for this research were obtained from 130 Gen Z Muslim users of Islamic e-wallets in Central Java, Indonesia. The research data analysis employed Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings of this study reveal that spiritual quotient and perceived benefit have a positive and significant influence on the intention to use Islamic e-wallets. However, perceived usefulness and perceived ease of use do not significantly affect the intention to use. Through this research, Islamic e-wallet service providers can further enhance system performance, effectiveness, and ease of use to build higher service credibility.

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References

Ajzen, I. (1985). From intentions to actions: A Theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action control: From cognition to behavior (pp. 11–39). Springer.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. Scopus.

Amram, Y. (2009). The contribution of emotional and spiritual intelligences to effective business leadership.

Ananda, P., & Nuriyah, A. (2023). Determinan minat generasi Milenial pada penggunaan sistem pembayaran e-wallet layanan syariah linkaja. Journal of Sharia Economics, 4(1), 53-66.

Antaranews. (2023).

Arpaci, I. (2016). Understanding and predicting students’ intention to use mobile cloud storage services. Computers in Human Behavior, 58, 150–157.

BPS. (2021). Hasil sensus penduduk 2020.

Burrows, L. (2005). SQ: Connecting with our Spiritual Intelligence. Gifted and Talented International, 20(2), 78–80.

Chin, W. W. (1998). The Partial least squares approach to structural equation modeling. In Modern Methods for Business Research. Psychology Press.

Davis, Fred D. (1985). A Technology acceptance model for empirically testing new end-user information system: theory and results. Sloan School of Management, Massachusetts Institute of Technology.

Davis, Fred. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3): 319–39.

Ernawati, N., & Noersanti, L. (2020). Pengaruh persepsi manfaat, kemudahan penggunaan dan kepercayaan terhadap minat penggunaan pada aplikasi OVO. Jurnal Manajemen STEI, 3(2), 694–700.

Ferdinand. (2014). Metode penelitian Manajemen: Pedoman penelitian untuk penulisan skripsi. Universitas Diponegoro.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research (Vol. 27).

Fishbein, M., & Ajzen, I. (2010). Predicting and Changing Behavior: The Reasoned Action Approach. Psychology Press: Taylor and Francis Group.

Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: algebra and statistics. Journal of Marketing Research, 18(3), 382.

Hair, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101–110. Scopus.

Hamzah Namungo, Mohammadtahir Cheumar, Y. H.-O. (2023). Perceived usefulness and intention to use Fintech by Islamic voluntary funds contributors in Kampala city: Age as a moderating effect. Journal of Contemporary Issues in Business and Government, April, 1(1), 14-22.

Hanum, Z., Ritonga, M. M., & Simanjuntak, S. (2022). The Influence of benefits perception, security perception and easy to use perception in using e-wallet. Jurnal Ekonomi, Sean Institute, 11(02), 1428–1432.

Hasyim, F., Addela, R., & Rahmawati, N.G. (2023). Pendekatan TAM dalam menilai keputusan penggunaan LinkAja syariah pada masyarakat Surakarta. Velocity: Journal of Sharia Finance and Banking, 3(1), 87-100.

Imam Ghozali. (2014). Structural equation modeling, metode alternatif dengan partial least square (PLS) Edisi 4. Universitas Diponegoro.

Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564.

Liling, E. R., Nurcahyo, F. A., & Tanojo, K. L. (2013). Hubungan antara kecerdasan spiritual dengan prokrastinasi pada mahasiswa tingkat akhir. HUMANITAS: Indonesian Psychological Journal, 10(2), Article 2.

Mauro C. Hernandez, J., & Afonso Mazzon, J. (2007). Adoption of internet banking: Proposition and implementation of an integrated methodology approach. International Journal of Bank Marketing, 25(2), 72–88.

Nirmawan, H. M., & Astiwardhani, W. (2021). The Effect of perceived cost, trust, usefulness, and customer value addition on intention to ue of go-pay mobile payment services in small traders. Journal of Business and Management Review, 2(10), Article 10.

Nurfadilah, D., & Samidi, S. (2021). How the covid-19 crisis is affecting customers ’ intention to use Islamic Fintech services : 7(1), 83–114.

Rahim, N. @ F., Bakri, M. H., & Yahaya, S. N. (2020). Conceptualization of spiritual intelligence quotient (SQ) in the Islamic Fintech adoption. Islamiyyat - The International Journal of Islamic Studies, 42(1), Article 1.

Rahma, T. I. F. (2018). Persepsi masyarakat kota Medan terhadap penggunaan financial technology (Fintech). At-Tawassuth: Jurnal Ekonomi Islam.

Rahmawaty, A., Rokhman, W., Bawono, A., & Irkhami, N. (2021). Emotional intelligence, spiritual intelligence and employee performance: The mediating role of communication competence. International Journal of Business and Society, 22(2), 734–752.

Singh, S., Sahni, M. M., & Kovid, R. K. (2021). Exploring trust and responsiveness as antecedents for intention to use FinTech services Shubhangi Singh *. 21(2), 254–268.

Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176.

Tun-Pin, C., Keng-Soon, W. C., Yen-San, Y., Pui-Yee, C., & Hong-Leong, Julian Teh Shwu-Shing, N. (2019). An adoption of Fintech service in Malaysia. South East Asia Journal of Contemporary Business, Economics and Law, 18(5), 73–92.

Venkatesh, V., & Davis, F. D. (2000). A Theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.

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), 425–478. Scopus.

Zamzami, S., & Djalali, M. A. (2012). Kecerdasan emosi, kecerdasan spiritual dan perilaku prososial santri pondok pesantren Nasyrul Ulum Pamekasan. Adoc.Pub, 1(2), 53–65.

Zohar, D., & Marshall, I. (2000). Spiritual Intelligence: The Ultimate Intelligence. Bloomsbury.