How to cite this paper
Aisyah, M & Sesunan, Y. (2023). Decision making on the use of a shariah-based e-wallet by Indonesian consumers.International Journal of Data and Network Science, 7(4), 1739-1752.
Refrences
Ab Hamid, M. R., Sami, W., & Sidek, M. H. M. (2017). Discriminant validity assessment: Use of Fornell & Larcker criterion versus HTMT criterion. Journal of Physics: Conference Series, 890(1), 12163.
Abd. Rahim, N., & Junos, S. (2012). The halal product acceptance model for the religious society. Business Management Quarterly Review, 3(1), 17–25.
Aisyah, M. (2017). Exploring the hablumminannas in Muslim consumers’ religious behavior. In Enhancing Business Stability Through Collaboration (pp. 331–341). CRC Press. https://doi.org/10.1201/9781315165417-27
Aisyah, Muniaty. (2014). The Influence of Religious Behavior on Consumers’ Intention to Purchase Halal-Labeled Products. Business and Entrepreneurial Review, 14(1), 15–32.
Aisyah, Muniaty. (2015). Peer Group Effects on Moslem Consumer’s Decision To Purchase Halal Labeled Cosmetics. Al-Iqtishad: Journal of Islamic Economics, 7(2), 165–180. https://doi.org/10.15408/ijies.v7i2.1682
Aisyah, Muniaty. (2017). Consumer Demand on Halal Cosmetics and Personal Care Products in Indonesia. Al-Iqtishad: Journal of Islamic Economics, 9(1), 125–142. https://doi.org/10.15408/aiq.v9i1.1867
Aisyah, Muniaty. (2018). Islamic Bank Service Quality and Its Impact on Indonesian Customers’ Satisfaction and Loyalty. Al-Iqtishad: Jurnal Ilmu Ekonomi Syariah, 10(2), 367–388. https://doi.org/10.15408/aiq.v10i2.7135
Aisyah, Muniaty. (2016). Measuring The Hablumminallah in Muslim Consumers’ Religious Behavior Model. Proceedings of the 2016 Global Conference on Business, Management and Entrepreneurship, 385–389. https://doi.org/10.2991/gcbme-16.2016.69
Aisyah, Muniaty, Suzanawaty, L., & Said, M. (2019). The demand for halal certified restaurants in Indonesia. International Journal of Supply Chain Management, 8(5), 86–98. http://www.scopus.com/inward/record.url?eid=2-s2.0-85081582551&partnerID=MN8TOARS
Aisyah, Muniaty, & Umiyati, U. (2018). The Mudharabah Savings Demand among the Member of Islamic Financial Service Cooperatives in Bogor. IQTISHADIA. https://doi.org/10.21043/iqtishadia.v11i2.3179
Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. In Action Control (pp. 11–39). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-69746-3_2
Ajzen, I. (1987). Attitudes, Traits, and Actions: Dispositional Prediction of Behavior in Personality and Social Psychology (pp. 1–63). https://doi.org/10.1016/S0065-2601(08)60411-6
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Ajzen, I. (2002). Constructing a TpB Questionnaire : Conceptual and Methodological Considerations. Time, 2002.
Ajzen, I. (2006). Behavioral Interventions Based on the Theory of Planned Behavior. Brief Description on the TPB.
Ajzen, I. (2018). Consumer Attitudes and Behavior. Handbook of Consumer Psychology, January 2008, 525–548. https://doi.org/10.4324/9780203809570-29
Ajzen, I. (2019). TPB Questionnaire Construction Constructing a Theory of Planned Behaviour Questionnaire. University of Massachusetts Amherst. University of Massachusetts Amherst, 1–7. http://people.umass.edu/~aizen/pdf/tpb.measurement.pdf
Ajzen, I., & Fishbein, M. (2005). The Influence of Attitudes on Behavior. In The handbook of attitudes. (pp. 173–221). Lawrence Erlbaum Associates Publishers.
Al-Hattami, H. M. (2023). Understanding perceptions of academics toward technology acceptance in accounting education. Heliyon, 9(1), e13141. https://doi.org/10.1016/j.heliyon.2023.e13141
AL-Nawafleh, E. A., ALSheikh, G. A. A., Abdulllah, A. A., & bin A. Tambi, A. M. (2019). Review of the impact of service quality and subjective norms in TAM among telecommunication customers in Jordan. International Journal of Ethics and Systems, 35(1), 148–158.
Alalwan, A. A., Baabdullah, A. M., Rana, N. P., Tamilmani, K., & Dwivedi, Y. K. (2018). Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust. Technology in Society, 55, 100–110.
Alam, A., Hendratmi, A., Santika Wati, M., & Hakim, L. (2022). The impact of mobile banking use on the Islamic financial institutional interest: A study in Indonesia. Banks and Bank Systems, 17(3), 1–11. https://doi.org/10.21511/bbs.17(3).2022.01
ALraja, M. N., & Aref, M. (2015). Customer acceptance of e-commerce: Integrating Perceived Risk with TAM. International Journal of Applied Business and Economic Research, 13(2), 913–921.
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. Industrial Engineering in the Industry 4.0 Era: Selected Papers from the Global Joint Conference on Industrial Engineering and Its Application Areas, GJCIE 2017, July 20–21, Vienna, Austria, 225–238.
Altin Gumussoy, C., Kaya, A., & Unal, S. B. (2020). Motivators for the second-hand shopping through mobile commerce. Industrial Engineering in the Digital Disruption Era: Selected Papers from the Global Joint Conference on Industrial Engineering and Its Application Areas, GJCIE 2019, September 2-3, 2019, Gazimagusa, North Cyprus, Turkey, 256–267.
Armitage, C. J., & Conner, M. (2001). Efficacy of the Theory of Planned Behaviour: A meta-analytic review. British Journal of Social Psychology, 40(4), 471–499. https://doi.org/10.1348/014466601164939
Arvidsson, N. (2014). Consumer attitudes on mobile payment services–results from a proof of concept test. International Journal of Bank Marketing.
Aybek, E. C., & Toraman, C. (2022). How many response categories are sufficient for Likert type scales? An empirical study based on the Item Response Theory. International Journal of Assessment Tools in Education, 9(2), 534–547. https://doi.org/10.21449/ijate.1132931
Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value. Journal of Consumer Research, 20(4), 644–656. http://www.jstor.org/stable/2489765
Beldad, A. D., & Hegner, S. M. (2018). Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach. International Journal of Human–Computer Interaction, 34(9), 882–893. https://doi.org/10.1080/10447318.2017.1403220
Chang, Y.-Z., Ko, C.-Y., Hsiao, C.-J., Chen, R.-J., Yu, C.-W., Cheng, Y.-W., Chang, T.-F., & Chao, C.-M. (2015). Understanding the Determinants of Implementing Telehealth Systems: A Combined Model of the Theory of Planned Behavior and the Technology Acceptance Model. Journal of Applied Sciences, 15(2), 277–282. https://doi.org/10.3923/jas.2015.277.282
Charoensereechai, C., Nurittamont, W., Phayaphrom, B., & Siripipatthanakul, S. (2022). Understanding the Effect of Social Media Advertising Values on Online Purchase Intention: A Case of Bangkok, Thailand. SSRN Electronic Journal, 5(May), 1–11. https://doi.org/10.2139/ssrn.4103522
Cheema, U., Rizwan, M., Jalal, R., Durrani, F., & Sohail, N. (2013). The trend of online shopping in 21st century: Impact of enjoyment in TAM Model. Asian Journal of Empirical Research, 3(2), 131–141.
Chen, M. (2008). An integrated research framework to understand consumer attitudes and purchase intentions toward genetically modified foods. British Food Journal, 110(6), 559–579. https://doi.org/10.1108/00070700810877889
Cheong, J. H., Park, M. C., & Hwang, J. H. (2004). Mobile payment adoption in Korea: switching from credit card in Paper presented at the 15th Biennial Conference.
Citro, A., Assegaf, F., & Azis Kurmala. (2022, November 29). Gopay most widely used digital wallet: research. Antaranews.Com. https://en.antaranews.com/news/262813/gopay-most-widely-used-digital-wallet-research
Dahlberg, T., Mallat, N., & Öörni, A. (2003). Trust enhanced technology acceptance model - consumer acceptance of mobile payment solutions. Mobility Roundtable, Stockholm, Sweden, May 22-23. https://research.aalto.fi/en/publications/trust-enhanced-technology-acceptance-model-consumer-acceptance-of
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1. Journal of Applied Social Psychology, 22(14), 1111–1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
Destiana, A. R., & Tairas, D. R. (2021). Determinants of Indonesian Consumer’s Intention to Purchase Halal Food in Overseas: Modified Theory Planned Behavior Model with Religiosity. Journal of Strategic and Global Studies, 4(1). https://doi.org/10.7454/jsgs.v4i1.1039
Dewan, S. G., & Chen, L. (2005). Mobile Payment Adoption in the US: A Cross-industry, Crossplatform Solution. Journal of Information Privacy and Security, 1(2), 4–28. https://doi.org/10.1080/15536548.2005.10855765
Dinar Standard, & Salam Gateway. (2022). State of the Global Islamic Economy Report: Unlocking Opportunity. State of the Global Islamic Economy Report 2020/21, 4–202. https://haladinar.io/hdn/doc/report2018.pdf
Dwijayanti, H. (2023, February 16). Indonesia Islamic Finance Assets Hit Rp2,375tn, OJK Says. Tempo.Co. https://en.tempo.co/read/1692324/indonesia-islamic-finance-assets-hit-rp2375tn-ojk-says
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley. https://people.umass.edu/aizen/f&a1975.html
Fornell, C., & Wernerfelt, B. (1988). A model for customer complaint management. Marketing Science, 7(3), 287–298.
Garbarino, E., & Johnson, M. S. (1999). The Different Roles of Satisfaction, Trust, and Commitment in Customer Relationships. Journal of Marketing, 63(2), 70. https://doi.org/10.2307/1251946
Giovanis, A. N., & Athanasopoulou, P. (2014). Gaining customer loyalty in the e-tailing marketplace: the role of e-service quality, e-satisfaction and e-trust. International Journal of Technology Marketing, 9(3), 288. https://doi.org/10.1504/IJTMKT.2014.063857
Hair, J., Anderson, R., Babin, B., & Black, W. (2010). Multivariate Data Analysis.pdf. In Australia : Cengage: Vol. 7 edition (p. 758).
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Marko Sarstedt. (2017). A Primer on artial Least Squares Stustural Equation Modelling (PLS-SEM). SAGE Publications Inc.
Hair, J. F., Sarstedt, M., Ringke, C. M., & Gudergan, S. P. (2018). Advance Issues in Partial Least Square Structural Equation Modeling. SAGE Publications Inc.
Ham, M., Jeger, M., & Frajman Ivković, A. (2015). The role of subjective norms in forming the intention to purchase green food. Economic Research-Ekonomska Istraživanja, 28(1), 738–748. https://doi.org/10.1080/1331677X.2015.1083875
Hampshire, S., & Hart, H. L. A. (1958). I.—DECISION, INTENTION AND CERTAINTY. Mind, LXVII(265), 1–12. https://doi.org/10.1093/mind/LXVII.265.1
Harisandi, P. (2022). Ideas : Journal Of Management And Technology The Influence Of Price Dimensions And Product Quality On Purchase Decisions Mediated By E-Word Of Mouth In The Tiktok Application. 2(2), 1–10.
Helmi, S., Ariana, S., & Supardin, L. (2022). The Role of Brand Image as a Mediation of The Effect of Advertising and Sales Promotion on Customer Purchase Decision. Journal of Economics and Sustainable Development, 13(8), 90–99. https://doi.org/10.7176/jesd/13-8-09
Heriyanto, M., & Ruhman, F. (2022, December 11). Indonesia has chance to become renown halal producer: Minister. Antaranews.Com. https://en.antaranews.com/news/265011/indonesia-has-chance-to-become-renown-halal-producer-minister
Herman. (2023, February 6). Indonesia’s Sharia Financial Market Share Reaches 10.69 Percent. BeritaSatu.Com. https://www.beritasatu.com/ekonomi/1025839/pangsa-pasar-keuangan-syariah-indonesia-capai-1069-persen
Holt, D. B. (1995). How Consumers Consume: A Typology of Consumption Practices. Journal of Consumer Research, 22(1), 1. https://doi.org/10.1086/209431
Hossain, S. F. A., Xi, Z., Nurunnabi, M., & Hussain, K. (2020). Ubiquitous Role of Social Networking in Driving M-Commerce: Evaluating the Use of Mobile Phones for Online Shopping and Payment in the Context of Trust. SAGE Open, 10(3). https://doi.org/10.1177/2158244020939536
Howard, A. D. (1994). A Detachment-Limited Model of Drainage Basin Evolution. Water Resources Research, 3(7), 2261–2285. https://erode.evsc.virginia.edu/papers/howard-detach-94.pdf
Id.linkedin.com. (2022). LinkAja Syariah is chosen as “Best Digital Payment Service Provider” from The Asset Triple A Islamic Finance Award 2022. Id.Linkedin.Com Posting LinkAja. https://id.linkedin.com/posts/linkaja_linkaja-syariah-raih-penghargaan-internasional-activity-6969872683131969536-i6vN
Igbaria, M., Parasuraman, S., & Baroudi, J. J. (1996). A Motivational Model of Microcomputer Usage. Journal of Management Information Systems, 13(1), 127–143. https://doi.org/10.1080/07421222.1996.11518115
Indarsin, T., & Ali, H. (2017). Attitude toward Using m-commerce: The analysis of perceived usefulness perceived ease of Use, and perceived trust: Case study in Ikens Wholesale Trade, Jakarta–Indonesia. Saudi Journal of Business and Management Studies, 2(11), 995–1007.
Juniwati. (2014). Influence of Perceived Usefulness, Ease of Use, Risk on Attitude and Intention to Shop Online. European Journal of Business and Management, 6(27), 218–229.
Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310–322.
Kim, J.-H., Kim, M., Park, M., & Yoo, J. (2021). How interactivity and vividness influence consumer virtual reality shopping experience: the mediating role of telepresence. Journal of Research in Interactive Marketing, 15(3), 502–525.
Kim, J. B. (2012). An empirical study on consumer first purchase intention in online shopping: integrating initial trust and TAM. Electronic Commerce Research, 12, 125–150.
Krueger, N. F., Reilly, M. D., & Carsrud, A. L. (2000). Competing models of entrepreneurial intentions. Journal of Business Venturing, 15(5–6), 411–432. https://doi.org/10.1016/S0883-9026(98)00033-0
Kumar, S., & Yukita, A. L. K. (2021). Millennials Behavioral Intention in Using Mobile Banking: Integrating Perceived Risk and Trust into TAM (A Survey in Jawa Barat). International Conference on Business and Engineering Management (ICONBEM 2021), 210–217.
Kusnandar, V. B. (2022). Sebanyak 115 Juta Masyarakat Indonesia Menuju Kelas Menengah. Katadata.Co.Id. https://databoks.katadata.co.id/datapublish/2022/09/14/sebanyak-115-juta-masyarakat-indonesia-menuju-kelas-menengah
Lai, P. (2017). The literature review of technology adoption models and theories for the novelty technology. Journal of Information Systems and Technology Management, 14(1), 21–38. https://doi.org/10.4301/S1807-17752017000100002
Linkaja.id. (2022). LinkAja Syariah Raih Penghargaan Internasional sebagai Layanan Keuangan Digital Terbaik 2022. Linkaja.Id Press Release. https://www.linkaja.id/artikel/linkaja-syariah-raih-penghargaan-internasional-sebagai-layanan-keuangan-digital-terbaik-2022
Lu, Y., Yang, S., Chau, P. Y. K., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information & Management, 48(8), 393–403. https://doi.org/10.1016/j.im.2011.09.006
Mahyarni, M. (2013). Theory Of Reasoned Action Dan Theory Of Planned Behavior. Jurnal EL-RIYASAH, 4(1), 13. http://ejournal.uin-suska.ac.id/index.php/elriyasah/article/view/17
Mallat, N. (2007). Exploring consumer adoption of mobile payments–A qualitative study. The Journal of Strategic Information Systems, 16(4), 413–432.
Marza, S., Idris, I., & Abror, A. (2019). The influence of convenience, enjoyment, perceived risk, and trust on the attitude toward online shopping. 2nd Padang International Conference on Education, Economics, Business and Accounting (PICEEBA-2 2018), 304–313.
Mishbakhudin, M., & Aisyah, M. (2021). The E-Marketing Mix Strategy of Tokopedia Salam during the Covid-19 Pandemic. International Research Journal of Business Studies, 14(3), 215–227. https://doi.org/10.21632/irjbs.14.3.215-227
Morgan, R. M., & Hunt, S. D. (1994). The Commitment-Trust Theory of Relationship Marketing. Journal of Marketing, 58(3), 20. https://doi.org/10.2307/1252308
Mulia, D., Usman, H., & Parwanto, N. B. (2021). The role of customer intimacy in increasing Islamic bank customer loyalty in using e-banking and m-banking. Journal of Islamic Marketing, 12(6), 1097–1123. https://doi.org/10.1108/JIMA-09-2019-0190
Mutahar, A. M., Daud, N. M., Ramayah, T., Putit, L., & Isaac, O. (2017). Examining the effect of subjective norms and compatibility as external variables on TAM: mobile banking acceptance in Yemen. Science International, 29(4), 769–776.
Nguyen, T. M. A., Nguyen, T. H., & Le, H. H. (2022). Online Shopping in Relationship with Perception, Attitude, and Subjective Norm during COVID-19 Outbreak: The Case of Vietnam. Sustainability, 14(22), 15009.
Nguyen, T. N., Cao, T. K., Dang, P. L., & Nguyen, H. A. (2016). Predicting consumer intention to use mobile payment services: Empirical evidence from Vietnam. International Journal of Marketing Studies, 8(1), 117–124.
Nor, M., & Won, H. M. (2022). Factors Affecting Consumer Acceptance of e-Payment in Klang Valley, Malaysia. 4(1), 54–66.
Nugroho, Y. A. (2016). The Effect of Perceived Ease of Use, Perceive of Usefulness, Perceive Risk ond Trust Towards Behavior Intention in Transaction By Internet. Business and Entrepreneurial Review, 9(1), 79–90. https://doi.org/10.25105/ber.v9i1.26
Nysveen, H. (2005). Intentions to Use Mobile Services: Antecedents and Cross-Service Comparisons. Journal of the Academy of Marketing Science, 33(3), 330–346. https://doi.org/10.1177/0092070305276149
Nysveen, Herbjørn, Pedersen, P. E., & Thorbjørnsen, H. (2005). Explaining intention to use mobile chat services: moderating effects of gender. Journal of Consumer Marketing, 22(5), 247–256. https://doi.org/10.1108/07363760510611671
Parama, M. (2020, April 15). LinkAja launches Indonesia’s first sharia e-wallet, backed by 1000 mosques. TheJakartaPost.Com. https://www.thejakartapost.com/news/2020/04/15/linkaja-launches-indonesias-first-sharia-e-wallet-backed-by-1000-mosques.html
Patil, K. (2016). Retail adoption of Internet of Things: Applying TAM model. 2016 International Conference on Computing, Analytics and Security Trends (CAST), 404–409.
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), 101–134. http://www.jstor.org/stable/27751067
Pavlou, P. A. (2001). Integrating Trust in Electronic Commerce with the Technology Acceptance Model: Model Development and Validation. AMCIS 2001 Proceedings, 159.
Pavlou, P. A., & Gefen, D. (2004). Building Effective Online Marketplaces with Institution-Based Trust. Information Systems Research, 15(1), 37–59. https://doi.org/10.1287/isre.1040.0015
Pereira, R., & Tam, C. (2021). Impact of enjoyment on the usage continuance intention of video-on-demand services. Information & Management, 58(7), 103501.
Pinedaa, A. J. M., Mohamadc, A. N., Solomon, O., Bircob, C. N. H., Superioe, M. G., Cuencof, H. O., & Bognot, F. L. (2022). Exploring the Standardized Root Mean Square Residual (SRMR) of Factors Influencing E-book Usage among CCA Students in the Philippines. Indonesian Journal of Contemporary Education, 4(2), 53–70. https://doi.org/10.33122/ijoce.v4i2.30
Populix. (2022). Consumer Preference Towards Banking and E-Wallet Apps. Populix.Co, 1–18. https://info.populix.co/report/digital-banking-survey/
Praveena, K., & Thomas, S. (2014). Continuance intention to use Facebook: A study of perceived enjoyment and TAM. Bonfring International Journal of Industrial Engineering and Management Science, 4(1), 24.
Puspaningtyas, L. (2022, March 31). Indonesia Maintains Fourth Position in SGIE 2022. Republika.Co.Id. https://ekonomi.republika.co.id/berita//r9lzfj457/indonesia-pertahankan-posisi-keempat-dalam-sgie-2022?
Rivis, A., & Sheeran, P. (2003). Descriptive norms as an additional predictor in the theory of planned behaviour: A meta-analysis. Current Psychology, 22(3), 218–233. https://doi.org/10.1007/s12144-003-1018-2
Ryan, R. M., & Deci, E. L. (2001). On happiness and human potentials: A review of research on hedonic and eudaimonic well-being. Annual Review of Psychology, 52, 141–166. https://doi.org/10.1146/annurev.psych.52.1.141
Safeena, R., Date, H., Hundewale, N., & Kammani, A. (2013). Combination of TAM and TPB in internet banking adoption. International Journal of Computer Theory and Engineering, 5(1), 146.
Salloum, S. A., & Al-Emran, M. (2018). Factors affecting the adoption of E-payment systems by university students: Extending the TAM with trust. International Journal of Electronic Business, 14(4), 371–390.
Sarika, K., Preeti, S., Shilpy, S., & Sukanya, S. (2016). A study of adoption behavior for online shopping: An extension of TAM model. International Journal Advances in Social Science and Humanities, 4(7), 11–22.
Sarstedt, M., Hair, J. F., Pick, M., Liengaard, B. D., Radomir, L., & Ringle, C. M. (2022). Progress in partial least squares structural equation modeling use in marketing research in the last decade. Psychology & Marketing, 39(5), 1035–1064. https://doi.org/10.1002/mar.21640
Schiffman, L. G., & Kanuk, L. L. (2007). Consumer Behaior (9th ed.). Prentice Hall, Upper Saddle River, NJ.
Senali, M. G., Iranmanesh, M., Ismail, F. N., Rahim, N. F. A., Khoshkam, M., & Mirzaei, M. (2022). Determinants of Intention to Use e-Wallet: Personal Innovativeness and Propensity to Trust as Moderators. International Journal of Human–Computer Interaction, 1–13. https://doi.org/10.1080/10447318.2022.2076309
Simamora, B. (2022). Decision, intention, expectation, willingness, and volition: Critics and comments. Jurnal Ekonomi Perusahaan, 29(1), 1–15. https://doi.org/10.46806/jep.v29i1.834
Siswadi, A., & Silaban, M. W. (2022, July 6). Survei Populix: Konsumen Lebih Menyukai Aplikasi Mobile Banking dan e-Wallet. Tempo.Co. https://bisnis.tempo.co/read/1609209/survei-populix-konsumen-lebih-menyukai-aplikasi-mobile-banking-dan-e-wallet
Song, H., Ruan, W. J., & Jeon, Y. J. J. (2021). An integrated approach to the purchase decision making process of food-delivery apps: Focusing on the TAM and AIDA models. International Journal of Hospitality Management, 95, 102943.
Stratton, S. J. (2021). Population research: convenience sampling strategies. Prehospital and Disaster Medicine, 36(4), 373–374.
Suki, N. M., & Suki, N. M. (2011). Exploring the relationship between perceived usefulness, perceived ease of Use, perceived enjoyment, attitude and subscribers’ intention towards using 3G mobile services. Journal of Information Technology Management, XXII(1), 1–7. http://jitm.ubalt.edu/XXII-1/article1.pdf
Suleman, D., Suyoto, Y. T., Sjarief, R., Sabil, S., Marwansyah, S., Adawia, P. R., & Puspasari, A. (2023). The effects of brand ambassador and trust on purchase decisions through social media. International Journal of Data and Network Science, 7(1), 433–438. https://doi.org/10.5267/j.ijdns.2022.9.003
Suleman, D., Zuniarti, I., Setyaningsih, E. D., Yanti, V. A., Susilowati, I. H., Sari, I., Marwansyah, S., Hadi, S. S., & Lestiningsih, A. S. (2019). Decision model based on technology acceptance model (tam) for online shop consumers in Indonesia. Academy of Marketing Studies Journal, 23(4), 1–14.
Suzanawaty, L., Aisyah, M., & Umiyati, U. (2021). A Comparison of Muslim Millennial Students’ Religiousity at Islamic and Non-Faith Based Universities. TARBIYA: Journal of Education in Muslim Society, 8(1), 44–56. https://doi.org/10.15408/tjems.v8i1.19210
To, A. T., & Trinh, T. H. M. (2021). Understanding behavioral intention to use mobile wallets in vietnam: Extending the tam model with trust and enjoyment. Cogent Business & Management, 8(1), 1891661.
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. https://doi.org/10.1108/JIMA-01-2020-0020
van der Heijden. (2004). User Acceptance of Hedonic Information Systems. MIS Quarterly, 28(4), 695. https://doi.org/10.2307/25148660
Van der Heijden, H. (2003). Factors influencing the usage of websites: the case of a generic portal in The Netherlands. Information & Management, 40(6), 541–549.
Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 342–365. https://doi.org/10.1287/isre.11.4.342.11872
Venkatesh, V., Speier, C., & Morris, M. G. (2002). User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model. Decision Sciences, 33(2), 297–316. https://doi.org/10.1111/j.1540-5915.2002.tb01646.x
Venkatraman, M. P., & MacInnis, D. J. (1985). The Epistemic and Sensory Exploratory Behavior of Hedonic and Cognitive Consumers. NA - Advances in Consumer Research, 12, 102–107. https://www.acrwebsite.org/volumes/6366/volumes/v12/NA-12
Wang, F., & Hariandja, E. S. (2016). The Influence Of Brand Ambassador On Brand Image And Consumer Purchasing Decision : A Case Of Tous Les Jours In The Influence Of Brand Ambassador On Brand Image And Consumer Purchasing Decision : local or international brands in the market market in Indon. International Conference Od Enterpreneurship, March, 292–306.
Wang, H., Zhang, J., Luximon, Y., Qin, M., Geng, P., & Tao, D. (2022). The determinants of user acceptance of mobile medical platforms: An investigation integrating the TPB, TAM, and patient-centered factors. International Journal of Environmental Research and Public Health, 19(17), 10758.
Won, D., Chiu, W., & Byun, H. (2023). Factors influencing consumer use of a sport-branded app: The technology acceptance model integrating app quality and perceived enjoyment. Asia Pacific Journal of Marketing and Logistics, 35(5), 1112–1133.
Wong, A. T. (2018). A TAM approach of studying the factors in social media and consumer purchase intention in Hong Kong. Journal of Economics, Management and Trade, 21(10), 1–17.
Wu, J.-H., & Wang, S.-C. (2005). What drives mobile commerce? Information & Management, 42(5), 719–729. https://doi.org/10.1016/j.im.2004.07.001
Xie, Q., Sundararaj, V., & MR, R. (2022). Analyzing the factors affecting the attitude of public toward lockdown, institutional trust, and civic engagement activities. Journal of Community Psychology, 50(2), 806–822. https://doi.org/10.1002/jcop.22681
Yahyazadehfar, M., Kamareh, S., & Tahmasebi Roshan, N. (2020). Explaining the Role of Consumer Attitudes and Willingness toward Consumer Generated Advertising in Consumer Behavior; Case Study of Kalleh Consumers. Journal of International Marketing Modeling, 1(1), 21–30.
Yang, S., Lu, Y., Gupta, S., Cao, Y., & Zhang, R. (2012). Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits. Computers in Human Behavior, 28(1), 129–142. https://doi.org/10.1016/j.chb.2011.08.019
Yendamuri, P., Kim, D., Vohra, D., & Yokokawa, D. (2021). Southeast Asia, The Home For Digital Transformation | Report | Facebook for Business. In Facebook Bain & Co. https://www.facebook.com/business/news/southeast-asia-the-home-for-digital-transformation
Yussaivi, A. M., Lu, C. Y., Syarief, M. E., & Suhartanto, D. (2021). Millennial Experience with Mobile Banking and Mobile Banking Artificial Intelligence Evidence from Islamic Banking. International Journal of Applied Business Research, 3(1), 39–53. https://doi.org/10.35313/ijabr.v3i1.121
Zhang, R., Jun, M., & Palacios, S. (2023). M-shopping service quality dimensions and their effects on customer trust and loyalty: an empirical study. International Journal of Quality & Reliability Management, 40(1), 169–191. https://doi.org/10.1108/IJQRM-11-2020-0374
Zhou, R., & Feng, C. (2017). Difference between leisure and work contexts: The roles of perceived enjoyment and perceived usefulness in predicting mobile video calling use acceptance. Frontiers in Psychology, 8, 350.
Abd. Rahim, N., & Junos, S. (2012). The halal product acceptance model for the religious society. Business Management Quarterly Review, 3(1), 17–25.
Aisyah, M. (2017). Exploring the hablumminannas in Muslim consumers’ religious behavior. In Enhancing Business Stability Through Collaboration (pp. 331–341). CRC Press. https://doi.org/10.1201/9781315165417-27
Aisyah, Muniaty. (2014). The Influence of Religious Behavior on Consumers’ Intention to Purchase Halal-Labeled Products. Business and Entrepreneurial Review, 14(1), 15–32.
Aisyah, Muniaty. (2015). Peer Group Effects on Moslem Consumer’s Decision To Purchase Halal Labeled Cosmetics. Al-Iqtishad: Journal of Islamic Economics, 7(2), 165–180. https://doi.org/10.15408/ijies.v7i2.1682
Aisyah, Muniaty. (2017). Consumer Demand on Halal Cosmetics and Personal Care Products in Indonesia. Al-Iqtishad: Journal of Islamic Economics, 9(1), 125–142. https://doi.org/10.15408/aiq.v9i1.1867
Aisyah, Muniaty. (2018). Islamic Bank Service Quality and Its Impact on Indonesian Customers’ Satisfaction and Loyalty. Al-Iqtishad: Jurnal Ilmu Ekonomi Syariah, 10(2), 367–388. https://doi.org/10.15408/aiq.v10i2.7135
Aisyah, Muniaty. (2016). Measuring The Hablumminallah in Muslim Consumers’ Religious Behavior Model. Proceedings of the 2016 Global Conference on Business, Management and Entrepreneurship, 385–389. https://doi.org/10.2991/gcbme-16.2016.69
Aisyah, Muniaty, Suzanawaty, L., & Said, M. (2019). The demand for halal certified restaurants in Indonesia. International Journal of Supply Chain Management, 8(5), 86–98. http://www.scopus.com/inward/record.url?eid=2-s2.0-85081582551&partnerID=MN8TOARS
Aisyah, Muniaty, & Umiyati, U. (2018). The Mudharabah Savings Demand among the Member of Islamic Financial Service Cooperatives in Bogor. IQTISHADIA. https://doi.org/10.21043/iqtishadia.v11i2.3179
Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. In Action Control (pp. 11–39). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-69746-3_2
Ajzen, I. (1987). Attitudes, Traits, and Actions: Dispositional Prediction of Behavior in Personality and Social Psychology (pp. 1–63). https://doi.org/10.1016/S0065-2601(08)60411-6
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Ajzen, I. (2002). Constructing a TpB Questionnaire : Conceptual and Methodological Considerations. Time, 2002.
Ajzen, I. (2006). Behavioral Interventions Based on the Theory of Planned Behavior. Brief Description on the TPB.
Ajzen, I. (2018). Consumer Attitudes and Behavior. Handbook of Consumer Psychology, January 2008, 525–548. https://doi.org/10.4324/9780203809570-29
Ajzen, I. (2019). TPB Questionnaire Construction Constructing a Theory of Planned Behaviour Questionnaire. University of Massachusetts Amherst. University of Massachusetts Amherst, 1–7. http://people.umass.edu/~aizen/pdf/tpb.measurement.pdf
Ajzen, I., & Fishbein, M. (2005). The Influence of Attitudes on Behavior. In The handbook of attitudes. (pp. 173–221). Lawrence Erlbaum Associates Publishers.
Al-Hattami, H. M. (2023). Understanding perceptions of academics toward technology acceptance in accounting education. Heliyon, 9(1), e13141. https://doi.org/10.1016/j.heliyon.2023.e13141
AL-Nawafleh, E. A., ALSheikh, G. A. A., Abdulllah, A. A., & bin A. Tambi, A. M. (2019). Review of the impact of service quality and subjective norms in TAM among telecommunication customers in Jordan. International Journal of Ethics and Systems, 35(1), 148–158.
Alalwan, A. A., Baabdullah, A. M., Rana, N. P., Tamilmani, K., & Dwivedi, Y. K. (2018). Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust. Technology in Society, 55, 100–110.
Alam, A., Hendratmi, A., Santika Wati, M., & Hakim, L. (2022). The impact of mobile banking use on the Islamic financial institutional interest: A study in Indonesia. Banks and Bank Systems, 17(3), 1–11. https://doi.org/10.21511/bbs.17(3).2022.01
ALraja, M. N., & Aref, M. (2015). Customer acceptance of e-commerce: Integrating Perceived Risk with TAM. International Journal of Applied Business and Economic Research, 13(2), 913–921.
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. Industrial Engineering in the Industry 4.0 Era: Selected Papers from the Global Joint Conference on Industrial Engineering and Its Application Areas, GJCIE 2017, July 20–21, Vienna, Austria, 225–238.
Altin Gumussoy, C., Kaya, A., & Unal, S. B. (2020). Motivators for the second-hand shopping through mobile commerce. Industrial Engineering in the Digital Disruption Era: Selected Papers from the Global Joint Conference on Industrial Engineering and Its Application Areas, GJCIE 2019, September 2-3, 2019, Gazimagusa, North Cyprus, Turkey, 256–267.
Armitage, C. J., & Conner, M. (2001). Efficacy of the Theory of Planned Behaviour: A meta-analytic review. British Journal of Social Psychology, 40(4), 471–499. https://doi.org/10.1348/014466601164939
Arvidsson, N. (2014). Consumer attitudes on mobile payment services–results from a proof of concept test. International Journal of Bank Marketing.
Aybek, E. C., & Toraman, C. (2022). How many response categories are sufficient for Likert type scales? An empirical study based on the Item Response Theory. International Journal of Assessment Tools in Education, 9(2), 534–547. https://doi.org/10.21449/ijate.1132931
Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value. Journal of Consumer Research, 20(4), 644–656. http://www.jstor.org/stable/2489765
Beldad, A. D., & Hegner, S. M. (2018). Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach. International Journal of Human–Computer Interaction, 34(9), 882–893. https://doi.org/10.1080/10447318.2017.1403220
Chang, Y.-Z., Ko, C.-Y., Hsiao, C.-J., Chen, R.-J., Yu, C.-W., Cheng, Y.-W., Chang, T.-F., & Chao, C.-M. (2015). Understanding the Determinants of Implementing Telehealth Systems: A Combined Model of the Theory of Planned Behavior and the Technology Acceptance Model. Journal of Applied Sciences, 15(2), 277–282. https://doi.org/10.3923/jas.2015.277.282
Charoensereechai, C., Nurittamont, W., Phayaphrom, B., & Siripipatthanakul, S. (2022). Understanding the Effect of Social Media Advertising Values on Online Purchase Intention: A Case of Bangkok, Thailand. SSRN Electronic Journal, 5(May), 1–11. https://doi.org/10.2139/ssrn.4103522
Cheema, U., Rizwan, M., Jalal, R., Durrani, F., & Sohail, N. (2013). The trend of online shopping in 21st century: Impact of enjoyment in TAM Model. Asian Journal of Empirical Research, 3(2), 131–141.
Chen, M. (2008). An integrated research framework to understand consumer attitudes and purchase intentions toward genetically modified foods. British Food Journal, 110(6), 559–579. https://doi.org/10.1108/00070700810877889
Cheong, J. H., Park, M. C., & Hwang, J. H. (2004). Mobile payment adoption in Korea: switching from credit card in Paper presented at the 15th Biennial Conference.
Citro, A., Assegaf, F., & Azis Kurmala. (2022, November 29). Gopay most widely used digital wallet: research. Antaranews.Com. https://en.antaranews.com/news/262813/gopay-most-widely-used-digital-wallet-research
Dahlberg, T., Mallat, N., & Öörni, A. (2003). Trust enhanced technology acceptance model - consumer acceptance of mobile payment solutions. Mobility Roundtable, Stockholm, Sweden, May 22-23. https://research.aalto.fi/en/publications/trust-enhanced-technology-acceptance-model-consumer-acceptance-of
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1. Journal of Applied Social Psychology, 22(14), 1111–1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
Destiana, A. R., & Tairas, D. R. (2021). Determinants of Indonesian Consumer’s Intention to Purchase Halal Food in Overseas: Modified Theory Planned Behavior Model with Religiosity. Journal of Strategic and Global Studies, 4(1). https://doi.org/10.7454/jsgs.v4i1.1039
Dewan, S. G., & Chen, L. (2005). Mobile Payment Adoption in the US: A Cross-industry, Crossplatform Solution. Journal of Information Privacy and Security, 1(2), 4–28. https://doi.org/10.1080/15536548.2005.10855765
Dinar Standard, & Salam Gateway. (2022). State of the Global Islamic Economy Report: Unlocking Opportunity. State of the Global Islamic Economy Report 2020/21, 4–202. https://haladinar.io/hdn/doc/report2018.pdf
Dwijayanti, H. (2023, February 16). Indonesia Islamic Finance Assets Hit Rp2,375tn, OJK Says. Tempo.Co. https://en.tempo.co/read/1692324/indonesia-islamic-finance-assets-hit-rp2375tn-ojk-says
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley. https://people.umass.edu/aizen/f&a1975.html
Fornell, C., & Wernerfelt, B. (1988). A model for customer complaint management. Marketing Science, 7(3), 287–298.
Garbarino, E., & Johnson, M. S. (1999). The Different Roles of Satisfaction, Trust, and Commitment in Customer Relationships. Journal of Marketing, 63(2), 70. https://doi.org/10.2307/1251946
Giovanis, A. N., & Athanasopoulou, P. (2014). Gaining customer loyalty in the e-tailing marketplace: the role of e-service quality, e-satisfaction and e-trust. International Journal of Technology Marketing, 9(3), 288. https://doi.org/10.1504/IJTMKT.2014.063857
Hair, J., Anderson, R., Babin, B., & Black, W. (2010). Multivariate Data Analysis.pdf. In Australia : Cengage: Vol. 7 edition (p. 758).
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Marko Sarstedt. (2017). A Primer on artial Least Squares Stustural Equation Modelling (PLS-SEM). SAGE Publications Inc.
Hair, J. F., Sarstedt, M., Ringke, C. M., & Gudergan, S. P. (2018). Advance Issues in Partial Least Square Structural Equation Modeling. SAGE Publications Inc.
Ham, M., Jeger, M., & Frajman Ivković, A. (2015). The role of subjective norms in forming the intention to purchase green food. Economic Research-Ekonomska Istraživanja, 28(1), 738–748. https://doi.org/10.1080/1331677X.2015.1083875
Hampshire, S., & Hart, H. L. A. (1958). I.—DECISION, INTENTION AND CERTAINTY. Mind, LXVII(265), 1–12. https://doi.org/10.1093/mind/LXVII.265.1
Harisandi, P. (2022). Ideas : Journal Of Management And Technology The Influence Of Price Dimensions And Product Quality On Purchase Decisions Mediated By E-Word Of Mouth In The Tiktok Application. 2(2), 1–10.
Helmi, S., Ariana, S., & Supardin, L. (2022). The Role of Brand Image as a Mediation of The Effect of Advertising and Sales Promotion on Customer Purchase Decision. Journal of Economics and Sustainable Development, 13(8), 90–99. https://doi.org/10.7176/jesd/13-8-09
Heriyanto, M., & Ruhman, F. (2022, December 11). Indonesia has chance to become renown halal producer: Minister. Antaranews.Com. https://en.antaranews.com/news/265011/indonesia-has-chance-to-become-renown-halal-producer-minister
Herman. (2023, February 6). Indonesia’s Sharia Financial Market Share Reaches 10.69 Percent. BeritaSatu.Com. https://www.beritasatu.com/ekonomi/1025839/pangsa-pasar-keuangan-syariah-indonesia-capai-1069-persen
Holt, D. B. (1995). How Consumers Consume: A Typology of Consumption Practices. Journal of Consumer Research, 22(1), 1. https://doi.org/10.1086/209431
Hossain, S. F. A., Xi, Z., Nurunnabi, M., & Hussain, K. (2020). Ubiquitous Role of Social Networking in Driving M-Commerce: Evaluating the Use of Mobile Phones for Online Shopping and Payment in the Context of Trust. SAGE Open, 10(3). https://doi.org/10.1177/2158244020939536
Howard, A. D. (1994). A Detachment-Limited Model of Drainage Basin Evolution. Water Resources Research, 3(7), 2261–2285. https://erode.evsc.virginia.edu/papers/howard-detach-94.pdf
Id.linkedin.com. (2022). LinkAja Syariah is chosen as “Best Digital Payment Service Provider” from The Asset Triple A Islamic Finance Award 2022. Id.Linkedin.Com Posting LinkAja. https://id.linkedin.com/posts/linkaja_linkaja-syariah-raih-penghargaan-internasional-activity-6969872683131969536-i6vN
Igbaria, M., Parasuraman, S., & Baroudi, J. J. (1996). A Motivational Model of Microcomputer Usage. Journal of Management Information Systems, 13(1), 127–143. https://doi.org/10.1080/07421222.1996.11518115
Indarsin, T., & Ali, H. (2017). Attitude toward Using m-commerce: The analysis of perceived usefulness perceived ease of Use, and perceived trust: Case study in Ikens Wholesale Trade, Jakarta–Indonesia. Saudi Journal of Business and Management Studies, 2(11), 995–1007.
Juniwati. (2014). Influence of Perceived Usefulness, Ease of Use, Risk on Attitude and Intention to Shop Online. European Journal of Business and Management, 6(27), 218–229.
Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310–322.
Kim, J.-H., Kim, M., Park, M., & Yoo, J. (2021). How interactivity and vividness influence consumer virtual reality shopping experience: the mediating role of telepresence. Journal of Research in Interactive Marketing, 15(3), 502–525.
Kim, J. B. (2012). An empirical study on consumer first purchase intention in online shopping: integrating initial trust and TAM. Electronic Commerce Research, 12, 125–150.
Krueger, N. F., Reilly, M. D., & Carsrud, A. L. (2000). Competing models of entrepreneurial intentions. Journal of Business Venturing, 15(5–6), 411–432. https://doi.org/10.1016/S0883-9026(98)00033-0
Kumar, S., & Yukita, A. L. K. (2021). Millennials Behavioral Intention in Using Mobile Banking: Integrating Perceived Risk and Trust into TAM (A Survey in Jawa Barat). International Conference on Business and Engineering Management (ICONBEM 2021), 210–217.
Kusnandar, V. B. (2022). Sebanyak 115 Juta Masyarakat Indonesia Menuju Kelas Menengah. Katadata.Co.Id. https://databoks.katadata.co.id/datapublish/2022/09/14/sebanyak-115-juta-masyarakat-indonesia-menuju-kelas-menengah
Lai, P. (2017). The literature review of technology adoption models and theories for the novelty technology. Journal of Information Systems and Technology Management, 14(1), 21–38. https://doi.org/10.4301/S1807-17752017000100002
Linkaja.id. (2022). LinkAja Syariah Raih Penghargaan Internasional sebagai Layanan Keuangan Digital Terbaik 2022. Linkaja.Id Press Release. https://www.linkaja.id/artikel/linkaja-syariah-raih-penghargaan-internasional-sebagai-layanan-keuangan-digital-terbaik-2022
Lu, Y., Yang, S., Chau, P. Y. K., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information & Management, 48(8), 393–403. https://doi.org/10.1016/j.im.2011.09.006
Mahyarni, M. (2013). Theory Of Reasoned Action Dan Theory Of Planned Behavior. Jurnal EL-RIYASAH, 4(1), 13. http://ejournal.uin-suska.ac.id/index.php/elriyasah/article/view/17
Mallat, N. (2007). Exploring consumer adoption of mobile payments–A qualitative study. The Journal of Strategic Information Systems, 16(4), 413–432.
Marza, S., Idris, I., & Abror, A. (2019). The influence of convenience, enjoyment, perceived risk, and trust on the attitude toward online shopping. 2nd Padang International Conference on Education, Economics, Business and Accounting (PICEEBA-2 2018), 304–313.
Mishbakhudin, M., & Aisyah, M. (2021). The E-Marketing Mix Strategy of Tokopedia Salam during the Covid-19 Pandemic. International Research Journal of Business Studies, 14(3), 215–227. https://doi.org/10.21632/irjbs.14.3.215-227
Morgan, R. M., & Hunt, S. D. (1994). The Commitment-Trust Theory of Relationship Marketing. Journal of Marketing, 58(3), 20. https://doi.org/10.2307/1252308
Mulia, D., Usman, H., & Parwanto, N. B. (2021). The role of customer intimacy in increasing Islamic bank customer loyalty in using e-banking and m-banking. Journal of Islamic Marketing, 12(6), 1097–1123. https://doi.org/10.1108/JIMA-09-2019-0190
Mutahar, A. M., Daud, N. M., Ramayah, T., Putit, L., & Isaac, O. (2017). Examining the effect of subjective norms and compatibility as external variables on TAM: mobile banking acceptance in Yemen. Science International, 29(4), 769–776.
Nguyen, T. M. A., Nguyen, T. H., & Le, H. H. (2022). Online Shopping in Relationship with Perception, Attitude, and Subjective Norm during COVID-19 Outbreak: The Case of Vietnam. Sustainability, 14(22), 15009.
Nguyen, T. N., Cao, T. K., Dang, P. L., & Nguyen, H. A. (2016). Predicting consumer intention to use mobile payment services: Empirical evidence from Vietnam. International Journal of Marketing Studies, 8(1), 117–124.
Nor, M., & Won, H. M. (2022). Factors Affecting Consumer Acceptance of e-Payment in Klang Valley, Malaysia. 4(1), 54–66.
Nugroho, Y. A. (2016). The Effect of Perceived Ease of Use, Perceive of Usefulness, Perceive Risk ond Trust Towards Behavior Intention in Transaction By Internet. Business and Entrepreneurial Review, 9(1), 79–90. https://doi.org/10.25105/ber.v9i1.26
Nysveen, H. (2005). Intentions to Use Mobile Services: Antecedents and Cross-Service Comparisons. Journal of the Academy of Marketing Science, 33(3), 330–346. https://doi.org/10.1177/0092070305276149
Nysveen, Herbjørn, Pedersen, P. E., & Thorbjørnsen, H. (2005). Explaining intention to use mobile chat services: moderating effects of gender. Journal of Consumer Marketing, 22(5), 247–256. https://doi.org/10.1108/07363760510611671
Parama, M. (2020, April 15). LinkAja launches Indonesia’s first sharia e-wallet, backed by 1000 mosques. TheJakartaPost.Com. https://www.thejakartapost.com/news/2020/04/15/linkaja-launches-indonesias-first-sharia-e-wallet-backed-by-1000-mosques.html
Patil, K. (2016). Retail adoption of Internet of Things: Applying TAM model. 2016 International Conference on Computing, Analytics and Security Trends (CAST), 404–409.
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), 101–134. http://www.jstor.org/stable/27751067
Pavlou, P. A. (2001). Integrating Trust in Electronic Commerce with the Technology Acceptance Model: Model Development and Validation. AMCIS 2001 Proceedings, 159.
Pavlou, P. A., & Gefen, D. (2004). Building Effective Online Marketplaces with Institution-Based Trust. Information Systems Research, 15(1), 37–59. https://doi.org/10.1287/isre.1040.0015
Pereira, R., & Tam, C. (2021). Impact of enjoyment on the usage continuance intention of video-on-demand services. Information & Management, 58(7), 103501.
Pinedaa, A. J. M., Mohamadc, A. N., Solomon, O., Bircob, C. N. H., Superioe, M. G., Cuencof, H. O., & Bognot, F. L. (2022). Exploring the Standardized Root Mean Square Residual (SRMR) of Factors Influencing E-book Usage among CCA Students in the Philippines. Indonesian Journal of Contemporary Education, 4(2), 53–70. https://doi.org/10.33122/ijoce.v4i2.30
Populix. (2022). Consumer Preference Towards Banking and E-Wallet Apps. Populix.Co, 1–18. https://info.populix.co/report/digital-banking-survey/
Praveena, K., & Thomas, S. (2014). Continuance intention to use Facebook: A study of perceived enjoyment and TAM. Bonfring International Journal of Industrial Engineering and Management Science, 4(1), 24.
Puspaningtyas, L. (2022, March 31). Indonesia Maintains Fourth Position in SGIE 2022. Republika.Co.Id. https://ekonomi.republika.co.id/berita//r9lzfj457/indonesia-pertahankan-posisi-keempat-dalam-sgie-2022?
Rivis, A., & Sheeran, P. (2003). Descriptive norms as an additional predictor in the theory of planned behaviour: A meta-analysis. Current Psychology, 22(3), 218–233. https://doi.org/10.1007/s12144-003-1018-2
Ryan, R. M., & Deci, E. L. (2001). On happiness and human potentials: A review of research on hedonic and eudaimonic well-being. Annual Review of Psychology, 52, 141–166. https://doi.org/10.1146/annurev.psych.52.1.141
Safeena, R., Date, H., Hundewale, N., & Kammani, A. (2013). Combination of TAM and TPB in internet banking adoption. International Journal of Computer Theory and Engineering, 5(1), 146.
Salloum, S. A., & Al-Emran, M. (2018). Factors affecting the adoption of E-payment systems by university students: Extending the TAM with trust. International Journal of Electronic Business, 14(4), 371–390.
Sarika, K., Preeti, S., Shilpy, S., & Sukanya, S. (2016). A study of adoption behavior for online shopping: An extension of TAM model. International Journal Advances in Social Science and Humanities, 4(7), 11–22.
Sarstedt, M., Hair, J. F., Pick, M., Liengaard, B. D., Radomir, L., & Ringle, C. M. (2022). Progress in partial least squares structural equation modeling use in marketing research in the last decade. Psychology & Marketing, 39(5), 1035–1064. https://doi.org/10.1002/mar.21640
Schiffman, L. G., & Kanuk, L. L. (2007). Consumer Behaior (9th ed.). Prentice Hall, Upper Saddle River, NJ.
Senali, M. G., Iranmanesh, M., Ismail, F. N., Rahim, N. F. A., Khoshkam, M., & Mirzaei, M. (2022). Determinants of Intention to Use e-Wallet: Personal Innovativeness and Propensity to Trust as Moderators. International Journal of Human–Computer Interaction, 1–13. https://doi.org/10.1080/10447318.2022.2076309
Simamora, B. (2022). Decision, intention, expectation, willingness, and volition: Critics and comments. Jurnal Ekonomi Perusahaan, 29(1), 1–15. https://doi.org/10.46806/jep.v29i1.834
Siswadi, A., & Silaban, M. W. (2022, July 6). Survei Populix: Konsumen Lebih Menyukai Aplikasi Mobile Banking dan e-Wallet. Tempo.Co. https://bisnis.tempo.co/read/1609209/survei-populix-konsumen-lebih-menyukai-aplikasi-mobile-banking-dan-e-wallet
Song, H., Ruan, W. J., & Jeon, Y. J. J. (2021). An integrated approach to the purchase decision making process of food-delivery apps: Focusing on the TAM and AIDA models. International Journal of Hospitality Management, 95, 102943.
Stratton, S. J. (2021). Population research: convenience sampling strategies. Prehospital and Disaster Medicine, 36(4), 373–374.
Suki, N. M., & Suki, N. M. (2011). Exploring the relationship between perceived usefulness, perceived ease of Use, perceived enjoyment, attitude and subscribers’ intention towards using 3G mobile services. Journal of Information Technology Management, XXII(1), 1–7. http://jitm.ubalt.edu/XXII-1/article1.pdf
Suleman, D., Suyoto, Y. T., Sjarief, R., Sabil, S., Marwansyah, S., Adawia, P. R., & Puspasari, A. (2023). The effects of brand ambassador and trust on purchase decisions through social media. International Journal of Data and Network Science, 7(1), 433–438. https://doi.org/10.5267/j.ijdns.2022.9.003
Suleman, D., Zuniarti, I., Setyaningsih, E. D., Yanti, V. A., Susilowati, I. H., Sari, I., Marwansyah, S., Hadi, S. S., & Lestiningsih, A. S. (2019). Decision model based on technology acceptance model (tam) for online shop consumers in Indonesia. Academy of Marketing Studies Journal, 23(4), 1–14.
Suzanawaty, L., Aisyah, M., & Umiyati, U. (2021). A Comparison of Muslim Millennial Students’ Religiousity at Islamic and Non-Faith Based Universities. TARBIYA: Journal of Education in Muslim Society, 8(1), 44–56. https://doi.org/10.15408/tjems.v8i1.19210
To, A. T., & Trinh, T. H. M. (2021). Understanding behavioral intention to use mobile wallets in vietnam: Extending the tam model with trust and enjoyment. Cogent Business & Management, 8(1), 1891661.
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. https://doi.org/10.1108/JIMA-01-2020-0020
van der Heijden. (2004). User Acceptance of Hedonic Information Systems. MIS Quarterly, 28(4), 695. https://doi.org/10.2307/25148660
Van der Heijden, H. (2003). Factors influencing the usage of websites: the case of a generic portal in The Netherlands. Information & Management, 40(6), 541–549.
Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 342–365. https://doi.org/10.1287/isre.11.4.342.11872
Venkatesh, V., Speier, C., & Morris, M. G. (2002). User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model. Decision Sciences, 33(2), 297–316. https://doi.org/10.1111/j.1540-5915.2002.tb01646.x
Venkatraman, M. P., & MacInnis, D. J. (1985). The Epistemic and Sensory Exploratory Behavior of Hedonic and Cognitive Consumers. NA - Advances in Consumer Research, 12, 102–107. https://www.acrwebsite.org/volumes/6366/volumes/v12/NA-12
Wang, F., & Hariandja, E. S. (2016). The Influence Of Brand Ambassador On Brand Image And Consumer Purchasing Decision : A Case Of Tous Les Jours In The Influence Of Brand Ambassador On Brand Image And Consumer Purchasing Decision : local or international brands in the market market in Indon. International Conference Od Enterpreneurship, March, 292–306.
Wang, H., Zhang, J., Luximon, Y., Qin, M., Geng, P., & Tao, D. (2022). The determinants of user acceptance of mobile medical platforms: An investigation integrating the TPB, TAM, and patient-centered factors. International Journal of Environmental Research and Public Health, 19(17), 10758.
Won, D., Chiu, W., & Byun, H. (2023). Factors influencing consumer use of a sport-branded app: The technology acceptance model integrating app quality and perceived enjoyment. Asia Pacific Journal of Marketing and Logistics, 35(5), 1112–1133.
Wong, A. T. (2018). A TAM approach of studying the factors in social media and consumer purchase intention in Hong Kong. Journal of Economics, Management and Trade, 21(10), 1–17.
Wu, J.-H., & Wang, S.-C. (2005). What drives mobile commerce? Information & Management, 42(5), 719–729. https://doi.org/10.1016/j.im.2004.07.001
Xie, Q., Sundararaj, V., & MR, R. (2022). Analyzing the factors affecting the attitude of public toward lockdown, institutional trust, and civic engagement activities. Journal of Community Psychology, 50(2), 806–822. https://doi.org/10.1002/jcop.22681
Yahyazadehfar, M., Kamareh, S., & Tahmasebi Roshan, N. (2020). Explaining the Role of Consumer Attitudes and Willingness toward Consumer Generated Advertising in Consumer Behavior; Case Study of Kalleh Consumers. Journal of International Marketing Modeling, 1(1), 21–30.
Yang, S., Lu, Y., Gupta, S., Cao, Y., & Zhang, R. (2012). Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits. Computers in Human Behavior, 28(1), 129–142. https://doi.org/10.1016/j.chb.2011.08.019
Yendamuri, P., Kim, D., Vohra, D., & Yokokawa, D. (2021). Southeast Asia, The Home For Digital Transformation | Report | Facebook for Business. In Facebook Bain & Co. https://www.facebook.com/business/news/southeast-asia-the-home-for-digital-transformation
Yussaivi, A. M., Lu, C. Y., Syarief, M. E., & Suhartanto, D. (2021). Millennial Experience with Mobile Banking and Mobile Banking Artificial Intelligence Evidence from Islamic Banking. International Journal of Applied Business Research, 3(1), 39–53. https://doi.org/10.35313/ijabr.v3i1.121
Zhang, R., Jun, M., & Palacios, S. (2023). M-shopping service quality dimensions and their effects on customer trust and loyalty: an empirical study. International Journal of Quality & Reliability Management, 40(1), 169–191. https://doi.org/10.1108/IJQRM-11-2020-0374
Zhou, R., & Feng, C. (2017). Difference between leisure and work contexts: The roles of perceived enjoyment and perceived usefulness in predicting mobile video calling use acceptance. Frontiers in Psychology, 8, 350.