How to cite this paper
Badran, R., Abuhashesh, M., Sharabati, A., Omeish, F., Al-Khasawneh, M & Al-Haddad, S. (2024). Enhancing user adoption and satisfaction: A study of factors influencing CliQ payment service in the fintech market.International Journal of Data and Network Science, 8(4), 2241-2254.
Refrences
Abd. Ghani, M., Rahi, S., Yasin, N., & Alnaser, F. (2017). Adoption of Internet Banking: Extending the Role of Technolo-gy Acceptance Model (TAM) with E-Customer Service and Customer Satisfaction. World Applied Sciences Journal, 35(9), 1918-1929.
Abdul Sathar, M.B., Rajagopalan, M., Naina, S.M., & Parayitam, S. (2023). A moderated-mediation model of perceived enjoyment, security and trust on customer satisfaction: evidence from banking industry in India. Journal of Asia Busi-ness Studies, 17(3), 656-679. https://doi-org.psut.idm.oclc.org/10.1108/JABS-03-2022-0089
Adilla, R., Jazman, M., Ahsyar, T., & Hamzah, M. (2022). Evaluation Usability of Mobile Banking Applications Using Usability Testing (UT) Method and System Usability Scale (SUS). IEEE International Conference on Sustainable En-gineering and Creative Computing (ICSECC), Kabupaten Bekasi, Indonesia, 2022, pp. 78-83, doi: 10.1109/ICSECC56055.2022.10331348.
Al-Afeef, M.A., Alsmadi, A.A., & Alrawashdeh, N. (2024). The Behavioral Intention of Fintech Usage: Applying Theory of Planned Behavior in Jordan. Hamdan, A., Alareeni, B. and Khamis, R. (Ed.) Digital Technology and Changing Roles in Managerial and Financial Accounting: Theoretical Knowledge and Practical Application (Studies in Managerial and Financial Accounting, Vol. 36), Emerald Publishing Limited, Leeds, pp. 15-25.
Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99-110.
Albert, W. and Tullis, T. (2013). Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics (Interactive Technologies) (2nd ed.). Morgan Kaufmann. ISBN: 9780124157927.
Al-Dmour, R., Al-Madi, F., Bani Younes, A., & Al-Dmour, H. (2020). Factors influencing the adoption of mobile banking in Jordan: An empirical study. Journal of Financial Services Marketing, 25(1), 43-56.
Alharbi, S., & Drew, S. (2018). The Role of Self-efficacy in Technology Acceptance. In Proceedings of the Future Tech-nologies Conference (FTC) 2018 (pp. 1159-1172). Springer, Cham
Almashhadani, I., Abuhashesh, M., Bany Mohammad, A., Masa’deh, r. and Al-Khasawneh, M. (2023). Exploring the de-terminants of FinTech adoption and intention to use in Jordan: The impact of COVID-19. Cogent Social Sciences, 9(2). https://doi.org/10.1080/23311886.2023.2256536
Al-Okaily, O., Alshawi, S., & Weerakkody, V. (2011). Investigating the impact of service quality on user satisfaction in Jordanian commercial banks. Electronic Journal of Information Systems Evaluation, 14(2), 114-126.
Al-Otaibi, S., Aljohani, N.R., Hoque, M.R. and Alotaibi, F.S. (2018), “The satisfaction of Saudi customers toward mo-bile banking in Saudi Arabia and the United Kingdom”, Journal of Global Information Management, Vol. 26 No. 1, pp. 85-103.
AlQeisi, K., & Al-Abdallah, G. (2013). The impact of mobile banking on bank performance in Jordan. International Jour-nal of Business and Management, 8(21), 1-7.
Alshurafat, H., Arabiat, O., & Shehadeh, M. (2024). The intention to adopt metaverse in Islamic banks: an integrated theo-retical framework of TAM and religiosity intention model. Journal of Islamic Marketing, Vol. ahead-of-print No. ahead-of-print. https://doi-org.psut.idm.oclc.org/10.1108/JIMA-10-2023-0310
AlZoughool, M. A., Alqatawna, R., & Alshurideh, M. T. (2020). The impact of COVID-19 on mobile banking adoption: An empirical study in Jordan. Journal of Retailing and Consumer Services, 57, 102241.
Asfour, H. & AL-Haddad, S. (2014). The Impact of Mobile Banking on Enhancing Customers' E-Satisfaction: An Empiri-cal Study on Commercial Banks in Jordan. International Business Research, 7(10),145-169. DOI: 10.5539/ibr.v7n10p145
Baabdullah, A. M., Alalwan, A. A., Rana, N. P., & Dwivedi, Y. K. (2019). Factors influencing the adoption of mobile banking in Saudi Arabia. International Journal of Bank Marketing, 37(2), 410-436.
Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Kizgin, H., and Patil, P. (2019). Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model. International Journal of Information Management. 44, 38-52.
Bangor, A., Kortum, Ph. & Miller, J. 2008. An Empirical Evaluation of the System Usability Scale. International Journal of Human-Computer Interaction, 24(6), 574-594. https://doi.org/10.1080/10447310802205776
Brooke, J. (1996). SUS: A ‘quick and dirty’ usability scale. In P. W. Jordan, B. Thomas, B. A. Weerdmeester, & I. L. McClelland (Eds.), Usability evaluation in industry (pp. 189–194). London, UK: Taylor and Francis.
Camilleri, S.J., & Grech, G. (2017). The Relevance of Age Categories in Explaining Internet Banking Adoption Rates and Customers' Attitudes towards the Service. Journal of Applied Finance and Banking, 7(2), 29-47. Available at SSRN: https://ssrn.com/abstract=2934790
Cao, H., Zhang, Z., Evans, R., Dai, W., Bi, Q., Zhu, Z., Xu, J., & Shen, L. (2023). Barriers and Enablers to the Implementa-tion of Intelligent Guidance Systems for Patients in Chinese Tertiary Transfer Hospitals: Usability Evaluation. IEEE Transactions on Engineering Management, 70(8), 2634-2643, doi: 10.1109/TEM.2021.3066564.
Cao, X., Yu, L., Liu, Z., Gong, M., & Adeel, L. (2017). Understanding mobile payment users’ continuance intention: a trust transfer perspective. Internet Research, 28(2), 456-476. 1066-2243 DOI 10.1108/IntR-11-2016-0359
Cheah, W., Jusoh, N., Aung, M., Ghani, A., & Rebuan, H. (2023). Mobile Technology in Medicine: Development and Val-idation of an Adapted System Usability Scale (SUS) Questionnaire and Modified Technology Acceptance Model (TAM) to Evaluate User Experience and Acceptability of a Mobile Application in MRI Safety Screening. Indian Jour-nal of Radiol Imaging, 33, 36–45.
Chen, C. (2013). Perceived risk, usage frequency of mobile banking services. Managing Service Quality: An International Journal, 23(5), 410–436. https://doi.org/10.1108/msq-10-2012-0137
Chin, W.W. (1998) The Partial Least Squares Approach to Structural Equation Modeling. Modern Methods for Business Research, 2, 295-336.
Chin, W.W., Marcolin, B.L., & Newsted, P.R. (2003) A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emo-tion/Adoption Study. Information Systems Research, 14, 189-217. http://dx.doi.org/10.1287/isre.14.2.189.16018
Crosman, P. (2012). Banks seek sticky relationship from mobile apps. American Banker, February 6, available at: www.americanbanker.com/news/banks-seek-sticky-relationships-from-mobile-apps (accessed February 25, 2024).
Daragmeh. A., Lentner, C., & Sági, J. (2021). FinTech payments in the era of COVID-19: Factors influencing behavioral intentions of “generation X” in Hungary to use mobile payment. Journal of Behavioral and Experimental Finance, 32, 100574. https://doi.org/10.1016/j.jbef.2021.100574
Das, A., & Das, D. (2023). Adoption of FinTech services amidst COVID-19 pandemic: empirical evidence from Assam. Managerial Finance, 49(6), 1075-1093.
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/10.2307/249008
Dianat, I., Adeli, P., Asgari Jafarabadi, M., & Karimi, M.A. (2019). User-centered Web Design, Usability, and User Satis-faction: The Case of Online Banking Websites in Iran. Applied Ergonomics, 81, 102892.
Faradina, H., Wahyuningrum, T., Prasetyo, N., & Kresna, I. (2022). User Experience Analysis on e-Wallet Using a Com-bination of Heuristic Evaluation and UMUX. IEEE International Conference on Cybernetics and Computational Intel-ligence (CyberneticsCom), Malang, Indonesia, pp. 46-51, doi: 10.1109/CyberneticsCom55287.2022.9865427.
Farah, M.F., Hasni, M.J.S., & Abbas, A.K. (2018). Mobile-banking adoption: empirical evidence from the banking sector in Pakistan. International Journal of Bank Marketing, 36(7), 1386-1413.
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. Interna-tional Journal of Human-Computer Studies, 59(4), 451–474. https://doi.org/10.1016/s1071-5819(03)00111-3
Field, A. (2005). Reliability analysis. In: Field, A., Ed., Discovering Statistics Using SPSS. 2nd Edition, Sage, London, Chapter 15.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Goularte, A.C., & Zilber, S.N. (2019). The moderating role of cultural factors in the adoption of mobile banking in Brazil. International Journal of Innovation Science, 11(1), 63-81
Graf-Vlachy, L., Buhtz, K., & König, A. (2018). Social influence in technology adoption: taking stock and moving for-ward. Management Review Quarterly, 68, 37–76.
Hadi, M. A., Tariq, M., & Shoaib, M. (2021). Factors influencing the adoption of mobile banking in Pakistan. Journal of Financial Services Marketing, 26(2), 107-119.
Hair, J.F., Hult, G.T.M., Ringle, C.M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equa-tion Modeling (PLS-SEM), Sage, Thousand Oaks, CA.
Hall, P., Marron, J. S., & Neeman, A. (2005). Geometric representation of high dimension, low sample size data. Journal of Royal Statistical Society Series B67, 427-444.
Hijazi, R. (2022). Mobile banking service quality and customer value co-creation intention: a moderated mediated model. International Journal of Bank Marketing, 40(7), 1501-1525. DOI 10.1108/IJBM-01-2022-0004.
Holzinger, A. (2005). Usability engineering methods for software developers. Communications of the ACM, 48(1), 71-74.
Hossain, M.A., Yesmin, M.N., Jahan, N., & Kim, M. (2021). Effects of Service Justice, Quality, Social Influence, and Corporate Image on Service Satisfaction and Customer Loyalty: Moderating Effect of Bank Ownership. Sustainability, 13 (13), 7404. https://doi.org/10.3390/su13137404
Hu, Z., Ding, S., Li, S., Chen, L., & Yang, S. (2019). Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model. Symmetry, 11(3). DOI: 10.3390/sym11030340.
Hussain, A., Ali, M., Qureshi, M. A., & Hussain, J. (2014). Factors affecting the adoption of mobile banking in Pakistan: Empirical evidence. Journal of Internet Banking and Commerce, 19(3), 1-15.
Inan, D.I., Hidayanto, A.N., Juita, R., Soemawilaga, F.F., Melinda, F., Puspacinantya, P., & Amalia, Y. (2023). Service quality and self-determination theory towards continuance usage intention of mobile banking. Journal of Science and Technology Policy Management, 14(2), 303-328. https://doi.org/10.1108/JSTPM-01-2021-0005
Inayatulloh, Saputra, P., Jollyta, D., Sriwardiningsih, E., Hartono, I., Toyib, R., & Murthada. (2021). Factors Supporting Use and Satisfaction of Mobile Banking in Indonesia. Proceedings of the International Conference on Industrial & Mechanical Engineering and Operations Management Dhaka, Bangladesh, 26-27.
ISO 9241-11. (2018). Ergonomics of human-system interaction — Part 11: Usability: Definitions and concepts, https://www.iso.org/obp/ui/en/#iso:std:iso:9241:-11:ed-2:v1:en
Jin, X., Kuang, E., & Fan, M. (2021). Too old to bank digitally? : A Survey of Banking Practices and Challenges Among Older Adults in China. In Designing Interactive Systems Conference 2021. ACM, 802–814. https://doi.org/10.1145/3461778.3462127
Jung, J. H., Kwon, E., & Kim, D. H. (2020). Mobile payment service usage: U.S. consumers’ motivations and intentions. Computers in Human Behavior Reports, 1, 100008. https://doi.org/10.1016/j.chbr.2020.100008
Kajol, K., Singh, R., & Paul, J. (2022). Adoption of digital financial transactions: A review of literature and future re-search agenda. Technological Forecasting and Social Change, 184, 121991. https://doi.org/10.1016/j.techfore.2022.121991
Kaya, A., Ozturk, R & Gumussoy CA. (2019). Usability Measurement of Mobile Applications with System Usability Scale (SUS). Industrial Engineering in the Big Data Era, ISBN: 978-3-030-03316-3, pp 389–400.
Khrais, A. (2018). The impact of mobile banking on customer satisfaction and usage patterns in Jordan. International Journal of Bank Marketing, 36(3), 470-487.
Kim, G., Shin, B., & Lee, H. G. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 19(3), 283-311
Kumar, J., & Rani, V. (2024). Investigating the dynamics of FinTech adoption: an empirical study from the perspective of mobile banking. Journal of Economic and Administrative Sciences. Vol. ahead-of-print No. ahead-of-print. ISSN: 1026-4116.
Laksamana, P., Suharyanto, S., & Cahaya, Y.F. (2023). Determining factors of continuance intention in mobile payment: fintech industry perspective. Asia Pacific Journal of Marketing and Logistics, 35(7), 1699-1718.
Leong, C. M., Tan, K. L., Puah, C. H., & Chong, S. M. (2020). Predicting mobile network operators users m-payment in-tention. European Business Review, 33(1). https://doi.org/10.1108/ebr-10-2019-0263
Liao, C., Chen, J. L., & Yen, D. C. (2007). Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in Human Behavior, 23(6), 2804-2822
Liébana‐Cabanillas, F., Muñoz‐Leiva, F., & Rejón‐Guardia, F. (2013). The determinants of satisfaction with e‐banking. Industrial Management & Data Systems, 113(5), 750-767. https://doi-org.psut.idm.oclc.org/10.1108/02635571311324188
Lin, W., Lin, Y., & Ding, Y. (2020). Factors Affecting the Behavioral Intention to Adopt Mobile Payment: An Empirical Study in Taiwan. Mathematical Analysis in Economics and Management, 8, 1851; doi:10.3390/math8101851
Lin, Y., & Yu, Z. (2023). Extending Technology Acceptance Model to Higher-education Students’ Use of Digital Academ-ic Reading Tools on Computers. International Journal of Educational Technology in Higher Education, 20, Article number: 34.
M. Uddin. (2022). Assessing Financial Performance of Mobile Banking Services Organization in Bangladesh. European Journal of Business and Management Research, 7(2), 240-245.
Mansour, H. (2022). How successful countries are in promoting digital transactions during COVID-19. Journal of Eco-nomic Studies, 49(3), 435-452, doi: 10.1108/JES-10-2020-0489.
Maqbool, A. (2018). Review of The Technology Acceptance Model (TAM) in Internet banking and Mobile banking. Inter-national Journal of Information Communication Technology and Digital Convergence, 3(1), 23-41.
Merhi, M., Hone, K., Tarhini, A., & Ameen, N. (2020). An empirical examination of the moderating role of age and gen-der in consumer mobile banking use: a cross-national, quantitative study. Journal of Enterprise Information Manage-ment, 34(4), 1144-1168.
Mostafa, R. (2020). E-banking development in Jordan. Journal of Applied Economics and Business Research, 10(4), 222-235.
Mujinga, M., Eloff, M.M., & Kroeze, J.H. (2018). System usability scale evaluation of online banking service: A South African study. South African Journal of Science, 114(3/4). http://dx.doi.org/10.17159/sajs.2018/20170065
N’dri, L.M., & Kakinaka, M. (2020). Financial inclusion, mobile money, and individual welfare: the case of Burkina Faso. Telecommunications Policy, 44(3).
Nawaz, A., Hanif, M., & Raza, S. A. (2018). Factors influencing the adoption of mobile banking in Pakistan: Empirical evidence. International Journal of Bank Marketing, 36(4), 677-697.
Nugraha, A., Rahmawati, R., & Aziz, A. A. (2018). The impact of innovative banking platforms on customer loyalty: Evi-dence from Indonesia. Journal of Economics, Business, and Accountancy Ventura, 21(2), 181-190.
Pandey, J. (2022). Sociocultural Context Perspectives to Social Influence. Nature and Dynamics of Social Influ-ence. Springer
Petrović, D., Nedeljković, I., & Marinković, V. (2020). The role of the hedonistic and utilitarian quality dimensions in en-hancing user satisfaction in mobile banking. International Journal of Bank Marketing, 40(7), 1610-1631.
Poromatikul, Ch., Maeyer, P., Leelapanyalert, K., & Zaby, S. (2019). Drivers of continuance intention with mobile bank-ing apps. International Journal of Bank Marketing, 38(1), 242-262, ISSN: 0265-2323.
Prastiawan, D., Aisjah, S., & Rofiaty, R. (2021). The Effect of Perceived Usefulness, Perceived Ease of Use, and Social In-fluence on the Use of Mobile Banking through the Mediation of Attitude Toward Use. Asia Pacific Management and Business Application, 9(3) 243-260.
Priya, R., Gandhi, A.V., & Shaikh, A. (2018). Mobile banking adoption in an emerging economy: an empirical analysis of young Indian consumers. Benchmarking, 25(2), 743-762.
Rahman, M. S., Al-Mamun, M. A., & Hossain, M. A. (2020). Factors influencing the adoption of mobile banking in Bang-ladesh: An empirical investigation. Journal of Financial Services Marketing, 25(2), 67-79.
Ramadhan, S., Fitri, I., & Rubhasy, A. (2021). Perancangan User Experience Aplikasi Pengajuan E-KTP Menggunakan Metode UCD Pada Kelurahan Tanah Baru. Jurnal Teknik Informatika dan Sistem Informasi, 8(1), 287-298.
Rastogi, S., Sharma, A., Pinto, G., & Bhimavarapu, V. M. (2022). A literature review of risk, regulation, and profitability of banks using a scientometric study. Future Business Journal, 8, Article number: 28.
Roya News. (2024, February 25). The Association of Banks clarifies regarding imposing a commission on “CliQ” services in Jordan [Video]. YouTube. https://www.youtube.com/watch?v=U-OEjIky6kg
Ryu, H.-S. (2018). What makes users willing or hesitant to use Fintech?: the moderating effect of user type. Industrial Management & Data Systems, 118(3), 541-569.
Saoula, O., Shamim, A., Suki, N. M., Ahmad, M. J., Abid, M. F., Patwary, A. K., & Abbasi, A. Z. (2023). Building e-trust and e-retention in online shopping: the role of website design, reliability and perceived ease of use. Spanish Journal of Marketing – ESIC
Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129-142.
Shaikh, A. A., Alamoudi, H., Alharthi, M., & Glavee-Geo, R. (2022). Advances in mobile financial services: A review of the literature and future research directions. International Journal of Bank Marketing, 41(1), 1–33. https://doi.org/10.1108/ijbm-06-2021-0230
Shaikh, I.M., & Amin, H. (2024). Consumers’ innovativeness and acceptance towards use of financial technology in Paki-stan: extension of the UTAUT model. Information Discovery and Delivery, 52(1), 114-122.
Shaikh, I.M., Qureshi, M.A., Noordin, K., Shaikh, J.M., Khan, A., & Shahbaz, M.S. (2020). Acceptance of Islamic finan-cial technology (FinTech) banking services by Malaysian users: an extension of technology acceptance model. Fore-sight, 22(3), 367-383.
Sharma, A., & Al‐Muharrami, S. (2018). Exploring mobile banking adoption in Oman: An empirical analysis. Interna-tional Journal of Bank Marketing, 36(5), 858-876.
Sharma, V., Jangir, K., Gupta, M., & Rupeika-Apoga, R. (2024). Does service quality matter in FinTech payment ser-vices? An integrated SERVQUAL and TAM approach. International Journal of Information Management Data In-sights, 4. 100252. 10.1016/j.jjimei.2024.100252.
Singh, S., & Srivastava, R.K. (2018). Predicting the intention to use mobile banking in India. International Journal of Bank Marketing, 36(2), 357-378.
Singh, S., & Srivastava, R.K. (2020). Understanding the intention to use mobile banking by existing online banking cus-tomers: an empirical study. Journal of Financial Services Marketing, 25, 86–96.
Tam, C., & Oliveira, T. (2017). Understanding mobile banking individual performance: the DeLone and McLean model and the moderating effects of individual culture. Internet Research, 27(3), 538-562.
Tan, E., & Leby Lau, J. (2016). Behavioural intention to adopt mobile banking among the millennial generation. Young Consumers, 17(1), 18-31.
Thakur, R., & Srivastava, M. (2013). Customer usage intention of mobile commerce in India: an empirical study. Journal of Indian Business Research, 5(1), 52-72.
Tran, V. (2020). The Relationship among Product Risk, Perceived Satisfaction and Purchase Intentions for Online Shop-ping. The Journal of Asian Finance, Economics and Business, 7(6), 221-231.
Upadhyay, N., Upadhyay, S., Abed, S.S., & Dwivedi, Y.K. (2022). Consumer adoption of mobile payment services during COVID-19: extending meta-UTAUT with perceived severity and self-efficacy. International Journal of Bank Market-ing, 40(5), 960-991.
Urbach, N., & Ahlemann, F. (2010). Structural Equation Modeling in Information Systems Research Using Partial Least Squares. Journal of Information Technology Theory and Application (JITTA), 11(2).
Available at: https://aisel.aisnet.org/jitta/vol11/iss2/2
Yan, C., Siddik, A. B., Akter, N., & Dong, Q. (2021). Factors influencing the adoption intention of using mobile financial service during the COVID-19 pandemic: The role of FinTech. Environmental Science and Pollution Research, 30(22), 61271–61289. https://doi.org/10.1007/s11356-021-17437-y
Yang, Y., Liu, Y., Li, H., & Yu, B. (2015). Understanding perceived risks in mobile payment acceptance. Industrial Man-agement & Data Systems, 115(2), 253–269. https://doi.org/10.1108/imds-08-2014-0243
Yeh, H.-C., Yu, M.-C., Liu, C.-H., & Huang, C.-I. (2023). Robo-advisor based on unified theory of acceptance and use of technology. Asia Pacific Journal of Marketing and Logistics, 35(4), 962-979.
Yen, PY., Wantland, D., & Bakken, S. (2010). Development of a Customizable Health IT Usability Evaluation Scale. AMIA Annu Symp Proc. 2010, 917–921. PMID: 21347112; PMCID: PMC3041285.
Yucel, G., Cebi, S., Hoege, B., & Ozok, A. (2012). A fuzzy risk assessment model for hospital information system imple-mentation. Expert Systems with Applications, 39(1), 1211-1218. https://doi.org/10.1016/j.eswa.2011.07.129
Zhang, Y., Mao, Y., & Cao, Y. (2018). Factors influencing the adoption of mobile banking: A meta-analytic review. Inter-national Journal of Bank Marketing, 36(4), 581-597.
Zhou, L., & Yu, Z. (2023). Extending Technology Acceptance Model to Higher-education Students’ Use of Digital Academic Reading Tools on Computers. International Journal of Educational Technology in Higher Education, 20, Article number: 34.
Abdul Sathar, M.B., Rajagopalan, M., Naina, S.M., & Parayitam, S. (2023). A moderated-mediation model of perceived enjoyment, security and trust on customer satisfaction: evidence from banking industry in India. Journal of Asia Busi-ness Studies, 17(3), 656-679. https://doi-org.psut.idm.oclc.org/10.1108/JABS-03-2022-0089
Adilla, R., Jazman, M., Ahsyar, T., & Hamzah, M. (2022). Evaluation Usability of Mobile Banking Applications Using Usability Testing (UT) Method and System Usability Scale (SUS). IEEE International Conference on Sustainable En-gineering and Creative Computing (ICSECC), Kabupaten Bekasi, Indonesia, 2022, pp. 78-83, doi: 10.1109/ICSECC56055.2022.10331348.
Al-Afeef, M.A., Alsmadi, A.A., & Alrawashdeh, N. (2024). The Behavioral Intention of Fintech Usage: Applying Theory of Planned Behavior in Jordan. Hamdan, A., Alareeni, B. and Khamis, R. (Ed.) Digital Technology and Changing Roles in Managerial and Financial Accounting: Theoretical Knowledge and Practical Application (Studies in Managerial and Financial Accounting, Vol. 36), Emerald Publishing Limited, Leeds, pp. 15-25.
Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99-110.
Albert, W. and Tullis, T. (2013). Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics (Interactive Technologies) (2nd ed.). Morgan Kaufmann. ISBN: 9780124157927.
Al-Dmour, R., Al-Madi, F., Bani Younes, A., & Al-Dmour, H. (2020). Factors influencing the adoption of mobile banking in Jordan: An empirical study. Journal of Financial Services Marketing, 25(1), 43-56.
Alharbi, S., & Drew, S. (2018). The Role of Self-efficacy in Technology Acceptance. In Proceedings of the Future Tech-nologies Conference (FTC) 2018 (pp. 1159-1172). Springer, Cham
Almashhadani, I., Abuhashesh, M., Bany Mohammad, A., Masa’deh, r. and Al-Khasawneh, M. (2023). Exploring the de-terminants of FinTech adoption and intention to use in Jordan: The impact of COVID-19. Cogent Social Sciences, 9(2). https://doi.org/10.1080/23311886.2023.2256536
Al-Okaily, O., Alshawi, S., & Weerakkody, V. (2011). Investigating the impact of service quality on user satisfaction in Jordanian commercial banks. Electronic Journal of Information Systems Evaluation, 14(2), 114-126.
Al-Otaibi, S., Aljohani, N.R., Hoque, M.R. and Alotaibi, F.S. (2018), “The satisfaction of Saudi customers toward mo-bile banking in Saudi Arabia and the United Kingdom”, Journal of Global Information Management, Vol. 26 No. 1, pp. 85-103.
AlQeisi, K., & Al-Abdallah, G. (2013). The impact of mobile banking on bank performance in Jordan. International Jour-nal of Business and Management, 8(21), 1-7.
Alshurafat, H., Arabiat, O., & Shehadeh, M. (2024). The intention to adopt metaverse in Islamic banks: an integrated theo-retical framework of TAM and religiosity intention model. Journal of Islamic Marketing, Vol. ahead-of-print No. ahead-of-print. https://doi-org.psut.idm.oclc.org/10.1108/JIMA-10-2023-0310
AlZoughool, M. A., Alqatawna, R., & Alshurideh, M. T. (2020). The impact of COVID-19 on mobile banking adoption: An empirical study in Jordan. Journal of Retailing and Consumer Services, 57, 102241.
Asfour, H. & AL-Haddad, S. (2014). The Impact of Mobile Banking on Enhancing Customers' E-Satisfaction: An Empiri-cal Study on Commercial Banks in Jordan. International Business Research, 7(10),145-169. DOI: 10.5539/ibr.v7n10p145
Baabdullah, A. M., Alalwan, A. A., Rana, N. P., & Dwivedi, Y. K. (2019). Factors influencing the adoption of mobile banking in Saudi Arabia. International Journal of Bank Marketing, 37(2), 410-436.
Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Kizgin, H., and Patil, P. (2019). Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model. International Journal of Information Management. 44, 38-52.
Bangor, A., Kortum, Ph. & Miller, J. 2008. An Empirical Evaluation of the System Usability Scale. International Journal of Human-Computer Interaction, 24(6), 574-594. https://doi.org/10.1080/10447310802205776
Brooke, J. (1996). SUS: A ‘quick and dirty’ usability scale. In P. W. Jordan, B. Thomas, B. A. Weerdmeester, & I. L. McClelland (Eds.), Usability evaluation in industry (pp. 189–194). London, UK: Taylor and Francis.
Camilleri, S.J., & Grech, G. (2017). The Relevance of Age Categories in Explaining Internet Banking Adoption Rates and Customers' Attitudes towards the Service. Journal of Applied Finance and Banking, 7(2), 29-47. Available at SSRN: https://ssrn.com/abstract=2934790
Cao, H., Zhang, Z., Evans, R., Dai, W., Bi, Q., Zhu, Z., Xu, J., & Shen, L. (2023). Barriers and Enablers to the Implementa-tion of Intelligent Guidance Systems for Patients in Chinese Tertiary Transfer Hospitals: Usability Evaluation. IEEE Transactions on Engineering Management, 70(8), 2634-2643, doi: 10.1109/TEM.2021.3066564.
Cao, X., Yu, L., Liu, Z., Gong, M., & Adeel, L. (2017). Understanding mobile payment users’ continuance intention: a trust transfer perspective. Internet Research, 28(2), 456-476. 1066-2243 DOI 10.1108/IntR-11-2016-0359
Cheah, W., Jusoh, N., Aung, M., Ghani, A., & Rebuan, H. (2023). Mobile Technology in Medicine: Development and Val-idation of an Adapted System Usability Scale (SUS) Questionnaire and Modified Technology Acceptance Model (TAM) to Evaluate User Experience and Acceptability of a Mobile Application in MRI Safety Screening. Indian Jour-nal of Radiol Imaging, 33, 36–45.
Chen, C. (2013). Perceived risk, usage frequency of mobile banking services. Managing Service Quality: An International Journal, 23(5), 410–436. https://doi.org/10.1108/msq-10-2012-0137
Chin, W.W. (1998) The Partial Least Squares Approach to Structural Equation Modeling. Modern Methods for Business Research, 2, 295-336.
Chin, W.W., Marcolin, B.L., & Newsted, P.R. (2003) A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emo-tion/Adoption Study. Information Systems Research, 14, 189-217. http://dx.doi.org/10.1287/isre.14.2.189.16018
Crosman, P. (2012). Banks seek sticky relationship from mobile apps. American Banker, February 6, available at: www.americanbanker.com/news/banks-seek-sticky-relationships-from-mobile-apps (accessed February 25, 2024).
Daragmeh. A., Lentner, C., & Sági, J. (2021). FinTech payments in the era of COVID-19: Factors influencing behavioral intentions of “generation X” in Hungary to use mobile payment. Journal of Behavioral and Experimental Finance, 32, 100574. https://doi.org/10.1016/j.jbef.2021.100574
Das, A., & Das, D. (2023). Adoption of FinTech services amidst COVID-19 pandemic: empirical evidence from Assam. Managerial Finance, 49(6), 1075-1093.
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/10.2307/249008
Dianat, I., Adeli, P., Asgari Jafarabadi, M., & Karimi, M.A. (2019). User-centered Web Design, Usability, and User Satis-faction: The Case of Online Banking Websites in Iran. Applied Ergonomics, 81, 102892.
Faradina, H., Wahyuningrum, T., Prasetyo, N., & Kresna, I. (2022). User Experience Analysis on e-Wallet Using a Com-bination of Heuristic Evaluation and UMUX. IEEE International Conference on Cybernetics and Computational Intel-ligence (CyberneticsCom), Malang, Indonesia, pp. 46-51, doi: 10.1109/CyberneticsCom55287.2022.9865427.
Farah, M.F., Hasni, M.J.S., & Abbas, A.K. (2018). Mobile-banking adoption: empirical evidence from the banking sector in Pakistan. International Journal of Bank Marketing, 36(7), 1386-1413.
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. Interna-tional Journal of Human-Computer Studies, 59(4), 451–474. https://doi.org/10.1016/s1071-5819(03)00111-3
Field, A. (2005). Reliability analysis. In: Field, A., Ed., Discovering Statistics Using SPSS. 2nd Edition, Sage, London, Chapter 15.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Goularte, A.C., & Zilber, S.N. (2019). The moderating role of cultural factors in the adoption of mobile banking in Brazil. International Journal of Innovation Science, 11(1), 63-81
Graf-Vlachy, L., Buhtz, K., & König, A. (2018). Social influence in technology adoption: taking stock and moving for-ward. Management Review Quarterly, 68, 37–76.
Hadi, M. A., Tariq, M., & Shoaib, M. (2021). Factors influencing the adoption of mobile banking in Pakistan. Journal of Financial Services Marketing, 26(2), 107-119.
Hair, J.F., Hult, G.T.M., Ringle, C.M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equa-tion Modeling (PLS-SEM), Sage, Thousand Oaks, CA.
Hall, P., Marron, J. S., & Neeman, A. (2005). Geometric representation of high dimension, low sample size data. Journal of Royal Statistical Society Series B67, 427-444.
Hijazi, R. (2022). Mobile banking service quality and customer value co-creation intention: a moderated mediated model. International Journal of Bank Marketing, 40(7), 1501-1525. DOI 10.1108/IJBM-01-2022-0004.
Holzinger, A. (2005). Usability engineering methods for software developers. Communications of the ACM, 48(1), 71-74.
Hossain, M.A., Yesmin, M.N., Jahan, N., & Kim, M. (2021). Effects of Service Justice, Quality, Social Influence, and Corporate Image on Service Satisfaction and Customer Loyalty: Moderating Effect of Bank Ownership. Sustainability, 13 (13), 7404. https://doi.org/10.3390/su13137404
Hu, Z., Ding, S., Li, S., Chen, L., & Yang, S. (2019). Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model. Symmetry, 11(3). DOI: 10.3390/sym11030340.
Hussain, A., Ali, M., Qureshi, M. A., & Hussain, J. (2014). Factors affecting the adoption of mobile banking in Pakistan: Empirical evidence. Journal of Internet Banking and Commerce, 19(3), 1-15.
Inan, D.I., Hidayanto, A.N., Juita, R., Soemawilaga, F.F., Melinda, F., Puspacinantya, P., & Amalia, Y. (2023). Service quality and self-determination theory towards continuance usage intention of mobile banking. Journal of Science and Technology Policy Management, 14(2), 303-328. https://doi.org/10.1108/JSTPM-01-2021-0005
Inayatulloh, Saputra, P., Jollyta, D., Sriwardiningsih, E., Hartono, I., Toyib, R., & Murthada. (2021). Factors Supporting Use and Satisfaction of Mobile Banking in Indonesia. Proceedings of the International Conference on Industrial & Mechanical Engineering and Operations Management Dhaka, Bangladesh, 26-27.
ISO 9241-11. (2018). Ergonomics of human-system interaction — Part 11: Usability: Definitions and concepts, https://www.iso.org/obp/ui/en/#iso:std:iso:9241:-11:ed-2:v1:en
Jin, X., Kuang, E., & Fan, M. (2021). Too old to bank digitally? : A Survey of Banking Practices and Challenges Among Older Adults in China. In Designing Interactive Systems Conference 2021. ACM, 802–814. https://doi.org/10.1145/3461778.3462127
Jung, J. H., Kwon, E., & Kim, D. H. (2020). Mobile payment service usage: U.S. consumers’ motivations and intentions. Computers in Human Behavior Reports, 1, 100008. https://doi.org/10.1016/j.chbr.2020.100008
Kajol, K., Singh, R., & Paul, J. (2022). Adoption of digital financial transactions: A review of literature and future re-search agenda. Technological Forecasting and Social Change, 184, 121991. https://doi.org/10.1016/j.techfore.2022.121991
Kaya, A., Ozturk, R & Gumussoy CA. (2019). Usability Measurement of Mobile Applications with System Usability Scale (SUS). Industrial Engineering in the Big Data Era, ISBN: 978-3-030-03316-3, pp 389–400.
Khrais, A. (2018). The impact of mobile banking on customer satisfaction and usage patterns in Jordan. International Journal of Bank Marketing, 36(3), 470-487.
Kim, G., Shin, B., & Lee, H. G. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 19(3), 283-311
Kumar, J., & Rani, V. (2024). Investigating the dynamics of FinTech adoption: an empirical study from the perspective of mobile banking. Journal of Economic and Administrative Sciences. Vol. ahead-of-print No. ahead-of-print. ISSN: 1026-4116.
Laksamana, P., Suharyanto, S., & Cahaya, Y.F. (2023). Determining factors of continuance intention in mobile payment: fintech industry perspective. Asia Pacific Journal of Marketing and Logistics, 35(7), 1699-1718.
Leong, C. M., Tan, K. L., Puah, C. H., & Chong, S. M. (2020). Predicting mobile network operators users m-payment in-tention. European Business Review, 33(1). https://doi.org/10.1108/ebr-10-2019-0263
Liao, C., Chen, J. L., & Yen, D. C. (2007). Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in Human Behavior, 23(6), 2804-2822
Liébana‐Cabanillas, F., Muñoz‐Leiva, F., & Rejón‐Guardia, F. (2013). The determinants of satisfaction with e‐banking. Industrial Management & Data Systems, 113(5), 750-767. https://doi-org.psut.idm.oclc.org/10.1108/02635571311324188
Lin, W., Lin, Y., & Ding, Y. (2020). Factors Affecting the Behavioral Intention to Adopt Mobile Payment: An Empirical Study in Taiwan. Mathematical Analysis in Economics and Management, 8, 1851; doi:10.3390/math8101851
Lin, Y., & Yu, Z. (2023). Extending Technology Acceptance Model to Higher-education Students’ Use of Digital Academ-ic Reading Tools on Computers. International Journal of Educational Technology in Higher Education, 20, Article number: 34.
M. Uddin. (2022). Assessing Financial Performance of Mobile Banking Services Organization in Bangladesh. European Journal of Business and Management Research, 7(2), 240-245.
Mansour, H. (2022). How successful countries are in promoting digital transactions during COVID-19. Journal of Eco-nomic Studies, 49(3), 435-452, doi: 10.1108/JES-10-2020-0489.
Maqbool, A. (2018). Review of The Technology Acceptance Model (TAM) in Internet banking and Mobile banking. Inter-national Journal of Information Communication Technology and Digital Convergence, 3(1), 23-41.
Merhi, M., Hone, K., Tarhini, A., & Ameen, N. (2020). An empirical examination of the moderating role of age and gen-der in consumer mobile banking use: a cross-national, quantitative study. Journal of Enterprise Information Manage-ment, 34(4), 1144-1168.
Mostafa, R. (2020). E-banking development in Jordan. Journal of Applied Economics and Business Research, 10(4), 222-235.
Mujinga, M., Eloff, M.M., & Kroeze, J.H. (2018). System usability scale evaluation of online banking service: A South African study. South African Journal of Science, 114(3/4). http://dx.doi.org/10.17159/sajs.2018/20170065
N’dri, L.M., & Kakinaka, M. (2020). Financial inclusion, mobile money, and individual welfare: the case of Burkina Faso. Telecommunications Policy, 44(3).
Nawaz, A., Hanif, M., & Raza, S. A. (2018). Factors influencing the adoption of mobile banking in Pakistan: Empirical evidence. International Journal of Bank Marketing, 36(4), 677-697.
Nugraha, A., Rahmawati, R., & Aziz, A. A. (2018). The impact of innovative banking platforms on customer loyalty: Evi-dence from Indonesia. Journal of Economics, Business, and Accountancy Ventura, 21(2), 181-190.
Pandey, J. (2022). Sociocultural Context Perspectives to Social Influence. Nature and Dynamics of Social Influ-ence. Springer
Petrović, D., Nedeljković, I., & Marinković, V. (2020). The role of the hedonistic and utilitarian quality dimensions in en-hancing user satisfaction in mobile banking. International Journal of Bank Marketing, 40(7), 1610-1631.
Poromatikul, Ch., Maeyer, P., Leelapanyalert, K., & Zaby, S. (2019). Drivers of continuance intention with mobile bank-ing apps. International Journal of Bank Marketing, 38(1), 242-262, ISSN: 0265-2323.
Prastiawan, D., Aisjah, S., & Rofiaty, R. (2021). The Effect of Perceived Usefulness, Perceived Ease of Use, and Social In-fluence on the Use of Mobile Banking through the Mediation of Attitude Toward Use. Asia Pacific Management and Business Application, 9(3) 243-260.
Priya, R., Gandhi, A.V., & Shaikh, A. (2018). Mobile banking adoption in an emerging economy: an empirical analysis of young Indian consumers. Benchmarking, 25(2), 743-762.
Rahman, M. S., Al-Mamun, M. A., & Hossain, M. A. (2020). Factors influencing the adoption of mobile banking in Bang-ladesh: An empirical investigation. Journal of Financial Services Marketing, 25(2), 67-79.
Ramadhan, S., Fitri, I., & Rubhasy, A. (2021). Perancangan User Experience Aplikasi Pengajuan E-KTP Menggunakan Metode UCD Pada Kelurahan Tanah Baru. Jurnal Teknik Informatika dan Sistem Informasi, 8(1), 287-298.
Rastogi, S., Sharma, A., Pinto, G., & Bhimavarapu, V. M. (2022). A literature review of risk, regulation, and profitability of banks using a scientometric study. Future Business Journal, 8, Article number: 28.
Roya News. (2024, February 25). The Association of Banks clarifies regarding imposing a commission on “CliQ” services in Jordan [Video]. YouTube. https://www.youtube.com/watch?v=U-OEjIky6kg
Ryu, H.-S. (2018). What makes users willing or hesitant to use Fintech?: the moderating effect of user type. Industrial Management & Data Systems, 118(3), 541-569.
Saoula, O., Shamim, A., Suki, N. M., Ahmad, M. J., Abid, M. F., Patwary, A. K., & Abbasi, A. Z. (2023). Building e-trust and e-retention in online shopping: the role of website design, reliability and perceived ease of use. Spanish Journal of Marketing – ESIC
Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129-142.
Shaikh, A. A., Alamoudi, H., Alharthi, M., & Glavee-Geo, R. (2022). Advances in mobile financial services: A review of the literature and future research directions. International Journal of Bank Marketing, 41(1), 1–33. https://doi.org/10.1108/ijbm-06-2021-0230
Shaikh, I.M., & Amin, H. (2024). Consumers’ innovativeness and acceptance towards use of financial technology in Paki-stan: extension of the UTAUT model. Information Discovery and Delivery, 52(1), 114-122.
Shaikh, I.M., Qureshi, M.A., Noordin, K., Shaikh, J.M., Khan, A., & Shahbaz, M.S. (2020). Acceptance of Islamic finan-cial technology (FinTech) banking services by Malaysian users: an extension of technology acceptance model. Fore-sight, 22(3), 367-383.
Sharma, A., & Al‐Muharrami, S. (2018). Exploring mobile banking adoption in Oman: An empirical analysis. Interna-tional Journal of Bank Marketing, 36(5), 858-876.
Sharma, V., Jangir, K., Gupta, M., & Rupeika-Apoga, R. (2024). Does service quality matter in FinTech payment ser-vices? An integrated SERVQUAL and TAM approach. International Journal of Information Management Data In-sights, 4. 100252. 10.1016/j.jjimei.2024.100252.
Singh, S., & Srivastava, R.K. (2018). Predicting the intention to use mobile banking in India. International Journal of Bank Marketing, 36(2), 357-378.
Singh, S., & Srivastava, R.K. (2020). Understanding the intention to use mobile banking by existing online banking cus-tomers: an empirical study. Journal of Financial Services Marketing, 25, 86–96.
Tam, C., & Oliveira, T. (2017). Understanding mobile banking individual performance: the DeLone and McLean model and the moderating effects of individual culture. Internet Research, 27(3), 538-562.
Tan, E., & Leby Lau, J. (2016). Behavioural intention to adopt mobile banking among the millennial generation. Young Consumers, 17(1), 18-31.
Thakur, R., & Srivastava, M. (2013). Customer usage intention of mobile commerce in India: an empirical study. Journal of Indian Business Research, 5(1), 52-72.
Tran, V. (2020). The Relationship among Product Risk, Perceived Satisfaction and Purchase Intentions for Online Shop-ping. The Journal of Asian Finance, Economics and Business, 7(6), 221-231.
Upadhyay, N., Upadhyay, S., Abed, S.S., & Dwivedi, Y.K. (2022). Consumer adoption of mobile payment services during COVID-19: extending meta-UTAUT with perceived severity and self-efficacy. International Journal of Bank Market-ing, 40(5), 960-991.
Urbach, N., & Ahlemann, F. (2010). Structural Equation Modeling in Information Systems Research Using Partial Least Squares. Journal of Information Technology Theory and Application (JITTA), 11(2).
Available at: https://aisel.aisnet.org/jitta/vol11/iss2/2
Yan, C., Siddik, A. B., Akter, N., & Dong, Q. (2021). Factors influencing the adoption intention of using mobile financial service during the COVID-19 pandemic: The role of FinTech. Environmental Science and Pollution Research, 30(22), 61271–61289. https://doi.org/10.1007/s11356-021-17437-y
Yang, Y., Liu, Y., Li, H., & Yu, B. (2015). Understanding perceived risks in mobile payment acceptance. Industrial Man-agement & Data Systems, 115(2), 253–269. https://doi.org/10.1108/imds-08-2014-0243
Yeh, H.-C., Yu, M.-C., Liu, C.-H., & Huang, C.-I. (2023). Robo-advisor based on unified theory of acceptance and use of technology. Asia Pacific Journal of Marketing and Logistics, 35(4), 962-979.
Yen, PY., Wantland, D., & Bakken, S. (2010). Development of a Customizable Health IT Usability Evaluation Scale. AMIA Annu Symp Proc. 2010, 917–921. PMID: 21347112; PMCID: PMC3041285.
Yucel, G., Cebi, S., Hoege, B., & Ozok, A. (2012). A fuzzy risk assessment model for hospital information system imple-mentation. Expert Systems with Applications, 39(1), 1211-1218. https://doi.org/10.1016/j.eswa.2011.07.129
Zhang, Y., Mao, Y., & Cao, Y. (2018). Factors influencing the adoption of mobile banking: A meta-analytic review. Inter-national Journal of Bank Marketing, 36(4), 581-597.
Zhou, L., & Yu, Z. (2023). Extending Technology Acceptance Model to Higher-education Students’ Use of Digital Academic Reading Tools on Computers. International Journal of Educational Technology in Higher Education, 20, Article number: 34.