Unveiling the Determinants of Islamic Mobile Banking Adoption: Evidence from Pakistan


  • Amar Shafiq Department of Management Sceinces, National University of Modern Languages, Islamabad, Pakistan
  • Hina Saleem Department of Management Sciences, Charles Darwin University, Australia
  • Sidra Sajid Department of Management Sciences, Comsats University, Islamabad, Pakistan
  • Nusrat Bashir Department of Management Sciences, National University of Modern Languages, Islamabad, Pakistan




Islamic Mobile Banking, Technological Acceptance Model, Adoption of Islamic Mobile Banking


Mobile Banking is a cutting-edge technological innovation in the banking industry that has greatly increased banking efficiency and boosted the overall quality of life for individuals. Financial firms are increasingly attracted to systems that enhance the quality of client service. This study aims to further our understanding of the adoption of Islamic mobile banking by utilizing the Technological Acceptance Model (TAM). This study presents a research approach that utilizes the Technology Acceptance Model (TAM) to investigate the factors that influence consumers' adoption of Islamic mobile banking. Consequently, it offers insights into the crucial factors that banking professionals must take into account to promote the integration of mobile technology in Islamic banking services. The data for this study were collected by a questionnaire survey and then analyzed using SPSS and Smart PLS 3.0, utilizing structural equation modeling (SEM). The study sample comprised 350 individuals who were customers of various branches of five Islamic banks, namely Meezan Bank Limited, Dubai Islamic Bank, Al-Baraka Bank Limited, MCB Islamic Bank Limited, and Bank AlFalah Islamic. After conducting data screening procedures, a final sample of 300 respondents was selected for analysis. The findings indicate that characteristics such as Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) have a positive influence on the Intention to Use (INT), supporting the notion that PU has a positive impact on PEOU according to the Technology Acceptance Model (TAM). The research findings suggest that customers' adoption of Islamic banking is positively influenced by their intentions to utilize it, and these intentions are further enhanced by social influence.


Adapa, S., & Roy, S. K. (2017). Consumers’ post-adoption behaviour towards Internet banking: empirical evidence from Australia. Behaviour & Information Technology, 36(9), 970-983.

Afshan, S., & Sharif, A. (2016). Acceptance of mobile banking framework in Pakistan. Telematics and Informatics, 33(2), 370-387.

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.

Ali, A., Xiaoling, G., Sherwani, M., & Ali, A. (2018). Antecedents of consumers’ Halal brand purchase intention: an integrated approach. Management Decision, 56(4), 715-735.

Amin, H., Hamid, M. R. A., Lada, S., & Anis, Z. (2008). The adoption of mobile banking in Malaysia: The case of Bank Islam Malaysia Berhad (BIMB). International Journal of Business and Society, 9(2), 43.

Aziz, S., Husin, M. M., Hussin, N., & Afaq, Z. (2019). Factors that influence individuals’ intentions to purchase family takaful mediating role of perceived trust. Asia Pacific Journal of Marketing and Logistics, 31(1), 81-104.

Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Kizgin, H., & 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.

Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in human behavior, 50, 418-430.

Chan, S.-c. (2004). Understanding internet banking adoption and use behavior: A Hong Kong perspective. Journal of Global Information Management (JGIM), 12(3), 21-43.

Chen, C.-D., Fan, Y.-W., & Farn, C.-K. (2007). Predicting electronic toll collection service adoption: An integration of the technology acceptance model and the theory of planned behavior. Transportation Research Part C: Emerging Technologies, 15(5), 300-311.

Chuan, T., Tan, G., Cheah, C.-M., Ooi, K.-B., & Yew, K.-T. (2012). Can the Demographic and Subjective Norms Influence the Adoption of Mobile Banking? International Journal of Mobile Communications, 10, 578-597. doi:10.1504/IJMC.2012.049757

Dasgupta, S., Paul, R., & Fuloria, S. (2011). Factors affecting behavioral intentions towards mobile banking usage: Empirical evidence from India. Romanian journal of marketing(1), 6.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.

Fonchamnyo, D. C. (2013). Customers’ perception of e-banking adoption in Cameroon: an empirical assessment of an extended TAM. International journal of economics and finance, 5(1), 166-176.

Hansen, J. M., Saridakis, G., & Benson, V. (2018). Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions. Computers in human behavior, 80, 197-206.

Howell, J., & Wei, J. (2010). Value increasing model in commercial e-banking. Journal of Computer Information Systems, 51(1), 72-81.

Jamshidi, D., & Hussin, N. (2016). Forecasting patronage factors of Islamic credit card as a new e-commerce banking service: An integration of TAM with perceived religiosity and trust. Journal of Islamic marketing, 7(4), 378-404.

Jeong, B. K., & Yoon, T. E. (2013). An empirical investigation on consumer acceptance of mobile banking services. Business and management research, 2(1), 31-40.

Kumar, G., & Shenbagaraman, V. (2017). The customers' perception of mobile banking adoption in Chennai city. An empirical assessment of an extended technology acceptance model. International Journal of Business Information Systems, 26(1), 46-65.

Lee, H. Y., Lee, Y.-K., & Kwon, D. (2005). The intention to use computerized reservation systems: the moderating effects of organizational support and supplier incentive. Journal of Business research, 58(11), 1552-1561.

Liébana-Cabanillas, F., Higueras-Castillo, E., Molinillo, S., & Montañez, M. R. (2019). Assesing the role of risk and trust in consumers’ adoption of online payment systems. International Journal of Information Systems and Software Engineering for Big Companies, 5(2), 99-113.

Luarn, P., & Lin, H.-H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in human behavior, 21(6), 873-891.

Mahardika, H., Thomas, D., Ewing, M. T., & Japutra, A. (2019). Predicting consumers’ trial/adoption of new technology: revisiting the behavioral expectations–behavioral intentions debate. The International Review of Retail, Distribution and Consumer Research, 29(1), 99-117.

Makanyeza, C. (2017). Determinants of consumers’ intention to adopt mobile banking services in Zimbabwe. International Journal of bank marketing, 35(6), 997-1017.

Malaquias, R. F., & Hwang, Y. (2019). Mobile banking use: A comparative study with Brazilian and US participants. International journal of information management, 44, 132-140.

Mian, T. S., & Rizwan, M. (2013). Determinants of customer intention to use mobile banking: An empirical research based on extended technology acceptance model. Journal of Basic and Applied Scientific Research, 3(11), 201-211.

Mohammadi, H. (2015). Investigating users’ perspectives on e-learning: An integration of TAM and IS success model. Computers in human behavior, 45, 359-374.

Noorazam, S. I., & Azan, Z. (2023). Investigating Relationship Of Perceived Usefulness Towards The Factor Affecting E-Learning Acceptance. Jurnal Evolusi, 4(3).

Park, J., Yang, S., & Lehto, X. (2007). Adoption of mobile technologies for Chinese consumers. Journal of electronic commerce research, 8(3).

Priya, R., Gandhi, A. V., & Shaikh, A. (2018). Mobile banking adoption in an emerging economy: An empirical analysis of young Indian consumers. Benchmarking: An International Journal, 25(2), 743-762.

Priya, R., Vikas Gandhi, A., & Shaikh, A. (2018). Mobile banking: consumer perception towards adoption. Benchmarking: An International Journal, 25(2), 743-762.

Püschel, J., Afonso Mazzon, J., & Mauro C. Hernandez, J. (2010). Mobile banking: proposition of an integrated adoption intention framework. International Journal of bank marketing, 28(5), 389-409.

Ratten, V. (2015). International consumer attitudes toward cloud computing: a social cognitive theory and technology acceptance model perspective. Thunderbird International Business Review, 57(3), 217-228.

Raza, S. A., Shah, N., & Ali, M. (2019). Acceptance of mobile banking in Islamic banks: evidence from modified UTAUT model. Journal of Islamic marketing, 10(1), 357-376.

Riquelme, H. E., & Rios, R. E. (2010). The moderating effect of gender in the adoption of mobile banking. International Journal of bank marketing, 28(5), 328-341.

Salim Abdulrahman, M. (2019). Factors influencing the adoption of mobile banking service among Cihan Bank customers in the Kurdistan Region of Iraq. International Journal of Advanced Science and Technology, 27(1), 289-301.

SBP. (2018). Islamic Banking Bulletin. Retrieved from https://www.sbp.org.pk/ibd/bulletin/2018/Sep.pdf

Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129-142.

Shaikh, A. A., & Karjaluoto, H. (2016). Mobile banking services continuous usage--case study of Finland. Paper presented at the 2016 49th Hawaii International Conference on System Sciences (HICSS).

Sharma, S. K., Govindaluri, S. M., Al-Muharrami, S., & Tarhini, A. (2017). A multi-analytical model for mobile banking adoption: a developing country perspective. Review of International Business and Strategy, 27(1), 133-148.

Singh, S., & Srivastava, R. (2018). Predicting the intention to use mobile banking in India. International Journal of bank marketing, 36(2), 357-378.

Sudarsono, H., Afandi, A., & Perdana, A. R. A. (2023). Determinants of consumer decisions to adopt islamic banking services in Indonesia. Amwaluna: Jurnal Ekonomi dan Keuangan Syariah, 7(1), 144-161.

Tan, E., & Leby Lau, J. (2016). Behavioural intention to adopt mobile banking among the millennial generation. Young Consumers, 17(1), 18-31.

Thye Goh, T., Mohd Suki, N., & Fam, K. (2014). Exploring a consumption value model for Islamic mobile banking adoption. Journal of Islamic marketing, 5(3), 344-365.

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

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.

Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 157-178.

Wu, L., & Chen, J.-L. (2005). An extension of trust and TAM model with TPB in the initial adoption of on-line tax: an empirical study. International Journal of Human-Computer Studies, 62(6), 784-808.

Zhang, Y., Weng, Q., & Zhu, N. (2018). The relationships between electronic banking adoption and its antecedents: A meta-analytic study of the role of national culture. International journal of information management, 40, 76-87.




How to Cite

Shafiq, A. ., Saleem, H. ., Sajid, S. ., & Bashir, N. . (2024). Unveiling the Determinants of Islamic Mobile Banking Adoption: Evidence from Pakistan. Review of Applied Management and Social Sciences, 7(1), 53-68. https://doi.org/10.47067/ramss.v7i1.363