Research Article
BibTex RIS Cite

TÜRKİYE’DE İSLAMİ (KATILIM) BANKACILIK MOBİL UYGULAMALARININ BENİMSENMESİ ÜZERİNE UTAUT TABANLI BİR ARAŞTIRMA

Year 2026, Volume: 27 Issue: 1, 97 - 118, 26.01.2026
https://doi.org/10.37880/cumuiibf.1816688

Abstract

Bu çalışma, Türkiye’de İslami bankacılık (Katılım bankacılığı) mobil uygulamalarının benimsenmesini Birleşik Teknoloji Kabul ve Kullanım Teorisi (UTAUT) çerçevesinde incelemektedir. 199 katılımcıdan toplanan veriler, SmartPLS 4 ile Yapısal Eşitlik Modellemesi (PLS-SEM) kullanılarak analiz edilmiştir. Çalışmanın bulguları, davranışsal niyetin (BI) kullanım davranışını (UB) güçlü ve anlamlı biçimde etkilediğini göstermektedir. Ayrıca BI’nın temel belirleyicileri çaba beklentisi (EE) ve sosyal etki (SI) olarak bulunmuştur. Buna karşın performans beklentisi (PE) BI üzerinde anlamlı bir etkiye sahip değildir. Ayrıca kolaylaştırıcı koşulların (FC) UB üzerindeki doğrudan etkisi de istatistiksel olarak desteklenmemiştir. Sonuçlar, Türkiye’de İslami bankacılık mobil uygulamalarının benimsenmesinde fayda algısının doygunluğa ulaşmış olabileceğini, kullanıcıların niyetlerinin daha çok kullanım kolaylığı ve sosyal normlar tarafından şekillendiğini göstermektedir. Türkiye bağlamında İslami bankacılık mobil uygulamalarının benimsenmesini UTAUT çerçevesinde ele alan çalışmaların sınırlı olduğu dikkate alındığında, bu çalışma söz konusu literatür boşluğunu doldurma bakımından kayda değer bir katkı sunmaktadır.

Ethical Statement

Bu makalenin hazırlanması sürecinde bilimsel araştırma ve yayın etiği ilkelerine tam bir bağlılık gösterilmiştir.

References

  • 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
  • Alkhazaleh, A. M. K., & Haddad, H. (2021). How does the Fintech services delivery affect customer satisfaction: A scenario of Jordanian banking sector. Strategic Change, 30(4), 405–413. https://doi.org/10.1002/jsc.2434
  • Anthony Jr, B., Kamaludin, A., & Romli, A. (2023). Predicting academic staffs behaviour intention and actual use of blended learning in higher education: Model development and validation. Technology, Knowledge and Learning, 28(3), 1223-1269. https://doi.org/10.1007/s10758-021-09579-2
  • 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. https://doi.org/10.1016/j.chb.2015.04.024
  • Bhatiasevi, V. (2016). An extended UTAUT model to explain the adoption of mobile banking. Information Development, 32(4), 799–814. https://doi.org/10.1177/026666691557076
  • Bidar, R., Fard, M. B., Salman, Y. B., Tunga, M. A., & Cheng, H. I. (2014, February). Factors affecting the adoption of mobile banking: Sample of Turkey. In 2014 16th International Conference on Advanced Communication Technology (ICACT) (pp. 1278–1282). IEEE. https://doi.org/10.1109/ICACT.2014.6779165
  • Boonsiritomachai, W., & Pitchayadejanant, K. (2019). Determinants affecting mobile banking adoption by Generation Y based on the Unified Theory of Acceptance and Use of Technology model modified by the Technology Acceptance Model concept. Kasetsart Journal of Social Sciences, 40(2), 349–358. https://so04.tci-thaijo.org/index.php/kjss/article/view/242160
  • Borowska-Beszta, A., Smieszek, M., & Borowska-Beszta, B. (2023). Mobile banking apps in Poland and their accessibility for consumers with disabilities: A case study. Disability & Society, 40(3), 571–592. https://doi.org/10.1080/09687599.2023.2263631
  • Brown, I., Cajee, Z., Davies, D., & Stroebel, S. (2003). Cell phone banking: Predictors of adoption in South Africa-An exploratory study. International Journal of Information Management, 23(5), 381–394. https://doi.org/10.1016/S0268-4012(03)00065-3
  • Chang, A. (2012). UTAUT and UTAUT2: A review and agenda for future research. Journal The WINNERS, 13(2), 106–114. https://distantreader.org/stacks/journals/winners/winners-656.pdf
  • Chang, C., Liu, L.-W., Huang, H.-C., & Hsieh, H. (2019). Factors influencing online hotel booking: Extending UTAUT2 with age, gender, and experience as moderators. Information, 10(9), 1-18. https://doi.org/10.3390/info10090281
  • Chao, C. M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10, 1-14. https://doi.org/10.3389/fpsyg.2019.01652
  • Chaouali, W., Yahia, I. B., & Souiden, N. (2016). The interplay of counter-conformity motivation, social influence, and trust in customers’ intention to adopt Internet banking services: The case of an emerging country. Journal of Retailing and Consumer Services, 28, 209–218. https://doi.org/10.1016/j.jretconser.2015.10.007
  • Cimperman, M., Brenčič, M. M., & Trkman, P. (2016). Analyzing older users’ home telehealth services acceptance behavior-Applying an extended UTAUT model. International Journal of Medical Informatics, 90, 22–31. https://doi.org/10.1016/j.ijmedinf.2016.03.002
  • Dandena, S., Timbula, M. A., & Mengesha, T. (2020). Factors affecting the adoption of mobile banking: The case of United Bank Addis Ababa city customers. Journal of Process Management and New Technologies, 8(1), 30–43. https://doi.org/10.5937/jouproman8-24520
  • 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
  • Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21(3), 719-734. https://doi.org/10.1007/s10796-017-9774-y
  • Ekaimi, S., Utomo, P., Gunawan, D., Jimmy, S. Y., & Christian, M. (2024). Examining the factors influencing teleconsultation adoption during the pandemic using the TAM model. Global Business & Finance Review (GBFR), 29(3), 149–160. https://doi.org/10.17549/gbfr.2024.29.3.149
  • Er, H., & Karagöz, İ. (2022). Mobil bankacılık kullanımlarının Genişletilmiş Birleşik Kabul ve Teknoloji Kullanımı Teorisi çerçevesinde incelenmesi. Finans Ekonomi ve Sosyal Araştırmalar Dergisi, 7(4), 689–702. https://doi.org/10.29106/fesa.1163390
  • 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. https://doi.org/10.1108/IJBM-10-2017-0215
  • 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/10.1177/002224378101800104
  • 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/10.1177/002224378101800104
  • Gharaibeh, M. K., Arshad, M. R. M., & Gharaibh, N. K. (2018). Using the UTAUT2 model to determine factors affecting adoption of mobile banking services: A qualitative approach. International Journal of Interactive Mobile Technologies, 12(4), 123–134. https://doi.org/10.3991/ijim.v12i4.8525
  • Goyal, A. (2017). Conditions for inclusive innovation with application to telecom and mobile banking. Innovation and Development, 7(2), 227–248. https://doi.org/10.1080/2157930X.2016.1187845
  • Gu, J., Lee, S., & Suh, Y. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605–11616. https://doi.org/10.1016/j.eswa.2009.03.024
  • Gupta, K. P., Manrai, R., & Goel, U. (2019). Factors influencing adoption of payments banks by Indian customers: Extending UTAUT with perceived credibility. Journal of Asia Business Studies, 13(2), 173–195. https://doi.org/10.1108/JABS-07-2017-0111
  • Güler, H., Şahinkayası, Y., & Şahinkayası, H. (2017). İnternet ve mobil teknolojilerin yaygınlaşması: Fırsatlar ve sınırlılıklar. Kilis 7 Aralık Üniversitesi Sosyal Bilimler Dergisi, 7(14), 186–207. https://dergipark.org.tr/en/download/article-file/386968
  • Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis: A global perspective (Vol. 7). Pearson Education.
  • Hair, J. F., Jr., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS‑SEM) using R: A workbook. Springer Nature. https://doi.org/10.1007/978-3-030-80519-7
  • Hair, J. F., Sarstedt, M., & Ringle, C. M. (2019). Rethinking some of the rethinking of partial least squares. European Journal of Marketing, 53(4), 566–584. https://doi.org/10.1108/EJM-10-2018-0665
  • Harahap, D. (2023). Determinants Of Intention To Use Islamic Mobile Banking On Millennial Generation: Evidence From Indonesia. Jurnal Ilmu Manajemen Dan Bisnis Islam, 9(2), 1-17. https://scholar.archive.org/work/h4sqk4phmngu5mjxugvli3xday/access/wayback/http://jurnal.iain-padangsidimpuan.ac.id/index.php/attijaroh/article/download/8533/pdf
  • Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382
  • Hidayah, N., Mutiara, T., Salim, A., & Maulana, A. I. (2024, October). Mobile Islamic banking consumer behaviour in Indonesia. In 2024 12th International Conference on Cyber and IT Service Management (CITSM) (pp. 1–6). IEEE. https://doi.org/10.1109/CITSM64103.2024.10775505
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
  • Ingale, A. (2024). Financial inclusion through mobile banking in emerging economies. Available at SSRN: https://ssrn.com/abstract=5060697 or http://dx.doi.org/10.2139/ssrn.5060697
  • Iskandar, M., Hartoyo, H., & Hermadi, I. (2020). Analysis of factors affecting behavioral intention and use behavior of mobile banking using Unified Theory of Acceptance and Use of Technology 2 model approach. International Review of Management and Marketing, 10(2), 41–49. https://doi.org/10.32479/irmm.9292
  • Ivanova, A., & Kim, J. Y. (2022). Acceptance and use of mobile banking in Central Asia: Evidence from modified UTAUT model. The Journal of Asian Finance, Economics and Business, 9(2), 217–227. https://doi.org/10.13106/jafeb.2022.vol9.no2.0217
  • Johar, R. S., & Suhartanto, D. (2019, November). The adoption of online internet banking in Islamic banking industry. In IOP Conference Series: Materials Science and Engineering (Vol. 662, No. 3, Article 032032). IOP Publishing. https://doi.org/10.1088/1757-899X/662/3/032032
  • Karataş, Ö., & Bozkurt, Ö. Ç. (2019). Mobil bankacılık hizmetlerinde müşteri memnuniyeti üzerine bir araştırma (Published master’s thesis). Burdur Mehmet Akif Ersoy Üniversitesi, Sosyal Bilimler Enstitüsü, Burdur. https://smartofjournal.com/files/smartjournal/1019952393_01_6.29_ID459_%C3%87etinkaya_223-234.pdf
  • Kazi, A. K., & Mannan, M. A. (2013). Factors affecting adoption of mobile banking in Pakistan: Empirical evidence. MPRA Paper, No. 47922. https://mpra.ub.uni-muenchen.de/47922/
  • Kesharwani, A., & Singh Bisht, S. (2012). The impact of trust and perceived risk on internet banking adoption in India: An extension of technology acceptance model. International Journal of Bank Marketing, 30(4), 303–322. https://doi.org/10.1108/02652321211236923
  • Khan, I. U., Hameed, Z., & Hamayun, M. (2019). Investigating the acceptance of electronic banking in the rural areas of Pakistan: An application of the unified model. Business and Economic Review, 11(3), 57–87. https://doi.org/10.22547/BER/11.3.3
  • Khan, I. U., Hameed, Z., Khan, S. N., Khan, S. U., & Khan, M. T. (2022). Exploring the effects of culture on acceptance of online banking: A comparative study of Pakistan and Turkey by using the extended UTAUT model. Journal of Internet Commerce, 21(2), 183–216. https://doi.org/10.1080/15332861.2021.1882749
  • Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision support systems, 44(2), 544-564. https://doi.org/10.1016/j.dss.2007.07.001
  • Kline, R. B. (2023). Principles and practice of structural equation modeling (5th ed.). The Guilford Press.
  • Korkmaz, Ö. F., Korkmaz, S. S., & Sunar, H. (2023). Kamu ve özel bankalarda mobil bankacılık özelliklerinin mobil bankacılık kalitesi üzerine ve mobil bankacılık kalitesinin banka itibarı üzerine etkisinin belirlenmesi: Giresun ili örneği. Selçuk Üniversitesi Akşehir Meslek Yüksekokulu Sosyal Bilimler Dergisi, 16, 146–160. https://dergipark.org.tr/tr/pub/akmyosb/issue/82449/1397950
  • Kuzu, E. B. (2014). Bilişim teknolojileri öğretmen adayları arasında çevrimiçi sosyal ağların öğretim amaçlı kullanımı, (Published doctoral thesis). Anadolu Üniversitesi Eğitim Bilimleri Enstitüsü, Eskişehir. https://www.proquest.com/docview/2564078057?pq-origsite=gscholar&fromopenview=true&sourcetype=Dissertations%20&%20Theses
  • Laukkanen, T. (2007). Internet vs mobile banking: Comparing customer value perceptions. Business Process Management Journal, 13(6), 788–797. https://doi.org/10.1108/14637150710834550
  • Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025). Understanding psychosocial barriers to healthcare technology adoption: A review of TAM technology acceptance model and unified theory of acceptance and use of technology and UTAUT frameworks. Healthcare, 13(3), 250. https://doi.org/10.3390/healthcare13030250
  • Lestari, D., & Rahmanto, B. T. (2023). Fintech and its challenge for banking sector. The Management Journal of Binaniaga, 6(1), 55–70. https://doi.org/10.33062/mjb.v6i1.428
  • Lim, F. W., Fakhrorazi, A., Ikhsan, R. B., Silitonga, K., Loke, W. K., & Abdullah, N. (2023). Personal innovativeness and facilitating conditions in shaping the outlooks toward m‑banking adoption among Generation Y in Malaysia. International Journal of Electrical and Computer Engineering, 13(4), 4616–4626. https://doi.org/10.11591/ijece.v13i4.pp4101-4111
  • Luo, X., Li, H., Zhang, J., & Shim, J. P. (2010). Examining multi‑dimensional trust and multi‑faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision Support Systems, 49(2), 222–234. https://doi.org/10.1016/j.dss.2010.02.008
  • Makanyeza, C. (2017). Determinants of consumers’ intention to adopt mobile banking services in Zimbabwe. International Journal of Bank Marketing, 35(6), 997–1017. https://doi.org/10.1108/IJBM-07-2016-0099
  • Mansour, M. M. O. (2020). Acceptance of mobile banking in Islamic banks: Integration of DeLone and McLean IS model and Unified Theory of Acceptance and Use of Technology. International Journal of Business Excellence, 21(4), 564–584. https://doi.org/10.1504/IJBEX.2020.108552
  • Marakarkandy, B., Yajnik, N., & Dasgupta, C. (2017). Enabling internet banking adoption: An empirical examination with an augmented technology acceptance model (TAM). Journal of Enterprise Information Management, 30(2), 263–294. https://doi.org/10.1108/JEIM-10-2015-0094
  • Markoska, K., Ivanochko, I., & Gregus, M. (2017). Mobile banking services—Business information management with mobile payments. In Agile information business: Exploring managerial implications (pp. 125–175). Springer. https://doi.org/10.1007/978-981-10-3358-2_5
  • Mohd Thas Thaker, H., Mohd Thas Thaker, M. A., Khaliq, A., Allah Pitchay, A., & Iqbal Hussain, H. (2022). Behavioural intention and adoption of internet banking among clients of Islamic banks in Malaysia: An analysis using UTAUT2. Journal of Islamic Marketing, 13(5), 1171–1197. https://doi.org/10.1108/JIMA-11-2019-0228
  • Momani, A. M. (2020). The unified theory of acceptance and use of technology: A new approach in technology acceptance. International Journal of Sociotechnology and Knowledge Development, 12(3), 79–98. https://doi.org/10.4018/IJSKD.2020070105
  • Morales, D. T., & Trinidad, F. L. (2019). Digital mortgage banking acceptability in Philippine universal banks: Evidence from UTAUT model. Journal of Information System and Technology Management, 4(15), 01–15. https://doi.org/10.35631/jistm.415001
  • Mostafa, A. A., & Eneizan, B. (2018). Factors affecting acceptance of mobile banking in developing countries. International Journal of Academic Research in Business and Social Sciences, 8(1), 340–351. https://doi.org/10.6007/IJARBSS/v8-i1/3812
  • Oliveira, T., Faria, M., Thomas, M. A., & Popovič, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 34(5), 689–703. https://doi.org/10.1016/j.ijinfomgt.2014.06.004
  • Orina, C. O. (2020). The effect of mobile banking on operational efficiency of commercial banks in Kenya (Published master’s thesis). KCA University. Nairobi, Kenya. https://repository.kcau.ac.ke/handle/123456789/600
  • Oye, N. D., Iahad, N. A., & Ab. Rahim, N. Z. (2014). The history of UTAUT model and its impact on ICT acceptance and usage by academicians. Education and Information Technologies, 19, 251–270. https://doi.org/10.1007/s10639-012-9189-9
  • Rachmawati, I. K., Bukhori, M., Majidah, Y., & Hidayatullah, S. (2020). Analysis of use of mobile banking with acceptance and use of technology (UTAUT). International Journal of Scientific and Technology Research, 9(8), 534–540. https://www.ijstr.org/final-print/aug2020/Analysis-Of-Use-Of-Mobile-Banking-With-Acceptance-And-Use-Of-Technology-utaut.pdf
  • Ramayah, T., Lee, J. W. C., & Mohamad, O. (2010). Green product purchase intention: Some insights from a developing country. Resources, Conservation and Recycling, 54(12), 1419–1427. https://doi.org/10.1016/j.resconrec.2010.06.007
  • 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. https://doi.org/10.1108/JIMA-04-2017-0038
  • Rofi’i, A., Firdaus, D. R., & Moridu, I. (2023). The analysis of user acceptance using UTAUT and DeLone & McLean model: Study case of banking mobile application. Journal of Information System, Technology and Engineering, 1(1), 21–25. https://doi.org/10.61487/jiste.v1i1.11
  • Saeed, K. (2011). Understanding the adoption of mobile banking services: An empirical assessment. In Proceedings of the 2011 Americas Conference on Information Systems (AMCIS)-Submissions 5, Detroit, MI. https://aisel.aisnet.org/amcis2011_submissions/5
  • Safira, J. E., & Baridwan, Z. (2018). The analysis of individual’s behavioral intention in using mobile banking based on TAM and UTAUT2. Sarjana thesis, Universitas Brawijaya. http://repository.ub.ac.id/id/eprint/163711
  • Safitri, D., Sofyan, J. F., Negoro, D. A., & Kusmayadi, A. (2024). Analisis behavioral intention mobile banking dengan model UTAUT2. Innovative: Journal of Social Science Research, 4(3), 571–587. https://doi.org/10.31004/innovative.v4i3.10417
  • Saghafian, M., Laumann, K., & Skogstad, M. R. (2021). Stagewise overview of issues influencing organizational technology adoption and use. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.630145
  • Sair, S. A., & Danish, R. Q. (2018). Effect of performance expectancy and effort expectancy on the mobile commerce adoption intention through personal innovativeness among Pakistani consumers. Pakistan Journal of Commerce and Social Sciences, 12(2), 501–520. https://hdl.handle.net/10419/188355
  • Samartha, V., Shenoy Basthikar, S., Hawaldar, I. T., Spulbar, C., Birau, R., & Filip, R. D. (2022). A study on the acceptance of mobile-banking applications in India-Unified Theory of Acceptance and Sustainable Use of Technology model (UTAUT). Sustainability, 14(21), 14506. https://doi.org/10.3390/su142114506
  • Santouridis, I., & Kyritsi, M. (2014). Investigating the determinants of internet banking adoption in Greece. Procedia Economics and Finance, 9, 501–510. https://doi.org/10.1016/S2212-5671(14)00051-3
  • Sarfaraz, J. (2017). Unified Theory of Acceptance and Use of Technology (UTAUT) model-Mobile banking. Journal of Internet Banking and Commerce, 22(3), 1–20. https://www.icommercecentral.com/
  • Sarstedt, M., Ringle, C.M., Hair, J.F. (2022). Partial Least Squares Structural Equation Modeling. In: Homburg, C., Klarmann, M., Vomberg, A. (eds) Handbook of Market Research. Springer, Cham. https://doi.org/10.1007/978-3-319-57413-4_15
  • Shachak, A., Kuziemsky, C., & Petersen, C. (2019). Beyond TAM and UTAUT: Future directions for HIT implementation research. Journal of Biomedical Informatics, 100, 1-5. https://doi.org/10.1016/j.jbi.2019.103315
  • Singh, S., & Srivastava, R. K. (2014). Factors influencing the adoption of mobile banking in India. International Journal of E‑Services and Mobile Applications, 6(4), 1–15. https://doi.org/10.4018/ijesma.2014100101
  • Sitorus, H. M., Govindaraju, R., Wiratmadja, I. I., & Sudirman, I. (2019). Examining the role of usability, compatibility and social influence in mobile banking adoption in Indonesia. International Journal of Technology, 10(2), 351–362. https://doi.org/10.14716/ijtech.v10i2.886
  • Sudarsono, H., Kholid, M. N., Trisanty, A., Shidiqie, J. S. A., & Suseno, P. (2022). Examining the adoption of mobile banking: Empirical evidence from Indonesian Muslim students. Banks and Bank Systems, 17(2), 138–149. http://dx.doi.org/10.21511/bbs.17(2).2022.12
  • Susilowati, A., Rianto, B., Wijaya, N., & Sanny, L. (2021). Effects of UTAUT2 model on the use of BCA mobile banking in Indonesia. Turkish Journal of Computer and Mathematics Education, 12(3), 5378–5387. https://www.proquest.com/docview/2625344136
  • Şahin, B. Ş., & Cantürk, B. C. (2020). Türkiye’deki hukuki altyapı ve Ödeme Hizmetleri Yönergesi 2 bağlamında API teknolojisi ve açık bankacılık. Maliye ve Finans Yazıları, 34(114), 149–180. https://doi.org/10.33203/mfy.637661
  • Tannady, H., Dewi, C. S. & Gilbert (2024). Exploring role of technology performance expectancy, application effort expectancy, perceived risk and perceived cost on digital behavioral intention of GoFood users. Jurnal Informasi dan Teknologi, 6(1), 80–85. https://doi.org/10.60083/jidt.v6i1.477
  • Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS quarterly, 15 (1), 125-143. https://doi.org/10.2307/249443
  • Thusi, P., & Maduku, D. K. (2020). South African millennials’ acceptance and use of retail mobile banking apps: An integrated perspective. Computers in Human Behavior, 111, 1-10. https://doi.org/10.1016/j.chb.2020.106405
  • Tian, Y., & Wang, X. (2022). A study on psychological determinants of users’ autonomous vehicles adoption from anthropomorphism and UTAUT perspectives. Frontiers in Psychology, 13, 986800. https://doi.org/10.3389/fpsyg.2022.986800
  • Türkiye İstatistik Kurumu (TÜİK). (2024). Hanehalkı bilişim teknolojileri (BT) kullanım araştırması, 2024 [Veri seti]. https://data.tuik.gov.tr/Bulten/Index?p=Hanehalki-Bilisim-Teknolojileri-(BT)-Kullanim-Arastirmasi-2024-53492 (Access date: 20 October 2025).
  • Varma, A. (2018). Mobile banking choices of entrepreneurs: A unified theory of acceptance and use of technology (UTAUT) perspective. Theoretical Economics Letters, 8(14), 2921-2937. https://doi.org/10.4236/tel.2018.814183
  • Venkatesh, V., Brown, S. A., Maruping, L. M., & Bala, H. (2008). Predicting different conceptualizations of system use: The competing roles of behavioral intention, facilitating conditions, and behavioral expectation. MIS quarterly, 32(3), 483-502. https://doi.org/10.2307/25148853
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
  • Wang, G., & Netemeyer, R. G. (2002). The effects of job autonomy, customer demandingness, and trait competitiveness on salesperson learning, self-efficacy, and performance. Journal of the academy of marketing science, 30(3), 217-228. https://doi.org/10.1177/0092070302303003
  • We Are Social, & Meltwater. (2024, Şubat). Digital 2024: Turkey. DataReportal. https://datareportal.com/reports/digital-2024-turkey (Access date: 20 October 2025)
  • Xu, Z., Li, Y., & Hao, L. (2022). An empirical examination of UTAUT model and social network analysis. Library Hi Tech, 40(1), 18–32. https://doi.org/10.1108/LHT-11-2018-0175
  • Yaseen, S. G., El Qirem, I. A., & Dajani, D. (2022). Islamic mobile banking smart services adoption and use in Jordan. ISRA International Journal of Islamic Finance, 14(3), 349–362. https://doi.org/10.1108/IJIF-04-2021-0065
  • Yu, C.-S. (2012). Factors affecting individuals to adopt mobile banking: Empirical evidence from the UTAUT model. Journal of Electronic Commerce Research, 13(2), 104–121. http://jecr.org/sites/default/files/13_3_p01_0.pdf
  • Yüksel, B., & Artar, O. K. (2022). Türkiye’de dijitalleşme ve ülke ekonomisi üzerindeki olası etkilerinin değerlendirilmesi. İstanbul Ticaret Üniversitesi Working Paper Series, 3(2), 99–116. https://doi.org/10.5281/zenodo.6652464
  • Zhou, T. (2008, August). Exploring mobile user acceptance based on UTAUT and contextual offering. In 2008 International Symposium on Electronic Commerce and Security (pp. 241–245). IEEE. https://doi.org/10.1109/ISECS.2008.10
  • Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760–767. https://doi.org/10.1016/j.chb.2010.01.013

A UTAUT-BASED STUDY ON THE ADOPTION OF ISLAMIC (PARTICIPATION) BANKING MOBILE APPLICATIONS IN TÜRKİYE

Year 2026, Volume: 27 Issue: 1, 97 - 118, 26.01.2026
https://doi.org/10.37880/cumuiibf.1816688

Abstract

This study examines the adoption of Islamic banking (Participation banking) mobile applications in Turkey within the framework of the Unified Theory of Acceptance and Use of Technology (UTAUT). Data collected from 199 participants were analyzed using Structural Equation Modeling (PLS-SEM) with SmartPLS 4. The findings of the study show that behavioral intention (BI) strongly and significantly affects use behavior (UB). In addition, the main determinants of BI were found to be effort expectancy (EE) and social influence (SI). In contrast, performance expectancy (PE) does not have a significant effect on BI. Moreover, the direct effect of facilitating conditions (FC) on UB was not statistically supported. The results indicate that the perception of benefit in the adoption of Islamic banking mobile applications in Turkey may have reached saturation, and that users’ intentions are shaped more by ease of use and social norms. Considering that studies addressing the adoption of Islamic banking mobile applications in the Turkish context within the UTAUT framework are limited, this study provides a noteworthy contribution in terms of filling the aforementioned gap in the literature.

Ethical Statement

In the preparation process of this article, full commitment to scientific research and publication ethics principles has been ensured.

References

  • 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
  • Alkhazaleh, A. M. K., & Haddad, H. (2021). How does the Fintech services delivery affect customer satisfaction: A scenario of Jordanian banking sector. Strategic Change, 30(4), 405–413. https://doi.org/10.1002/jsc.2434
  • Anthony Jr, B., Kamaludin, A., & Romli, A. (2023). Predicting academic staffs behaviour intention and actual use of blended learning in higher education: Model development and validation. Technology, Knowledge and Learning, 28(3), 1223-1269. https://doi.org/10.1007/s10758-021-09579-2
  • 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. https://doi.org/10.1016/j.chb.2015.04.024
  • Bhatiasevi, V. (2016). An extended UTAUT model to explain the adoption of mobile banking. Information Development, 32(4), 799–814. https://doi.org/10.1177/026666691557076
  • Bidar, R., Fard, M. B., Salman, Y. B., Tunga, M. A., & Cheng, H. I. (2014, February). Factors affecting the adoption of mobile banking: Sample of Turkey. In 2014 16th International Conference on Advanced Communication Technology (ICACT) (pp. 1278–1282). IEEE. https://doi.org/10.1109/ICACT.2014.6779165
  • Boonsiritomachai, W., & Pitchayadejanant, K. (2019). Determinants affecting mobile banking adoption by Generation Y based on the Unified Theory of Acceptance and Use of Technology model modified by the Technology Acceptance Model concept. Kasetsart Journal of Social Sciences, 40(2), 349–358. https://so04.tci-thaijo.org/index.php/kjss/article/view/242160
  • Borowska-Beszta, A., Smieszek, M., & Borowska-Beszta, B. (2023). Mobile banking apps in Poland and their accessibility for consumers with disabilities: A case study. Disability & Society, 40(3), 571–592. https://doi.org/10.1080/09687599.2023.2263631
  • Brown, I., Cajee, Z., Davies, D., & Stroebel, S. (2003). Cell phone banking: Predictors of adoption in South Africa-An exploratory study. International Journal of Information Management, 23(5), 381–394. https://doi.org/10.1016/S0268-4012(03)00065-3
  • Chang, A. (2012). UTAUT and UTAUT2: A review and agenda for future research. Journal The WINNERS, 13(2), 106–114. https://distantreader.org/stacks/journals/winners/winners-656.pdf
  • Chang, C., Liu, L.-W., Huang, H.-C., & Hsieh, H. (2019). Factors influencing online hotel booking: Extending UTAUT2 with age, gender, and experience as moderators. Information, 10(9), 1-18. https://doi.org/10.3390/info10090281
  • Chao, C. M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10, 1-14. https://doi.org/10.3389/fpsyg.2019.01652
  • Chaouali, W., Yahia, I. B., & Souiden, N. (2016). The interplay of counter-conformity motivation, social influence, and trust in customers’ intention to adopt Internet banking services: The case of an emerging country. Journal of Retailing and Consumer Services, 28, 209–218. https://doi.org/10.1016/j.jretconser.2015.10.007
  • Cimperman, M., Brenčič, M. M., & Trkman, P. (2016). Analyzing older users’ home telehealth services acceptance behavior-Applying an extended UTAUT model. International Journal of Medical Informatics, 90, 22–31. https://doi.org/10.1016/j.ijmedinf.2016.03.002
  • Dandena, S., Timbula, M. A., & Mengesha, T. (2020). Factors affecting the adoption of mobile banking: The case of United Bank Addis Ababa city customers. Journal of Process Management and New Technologies, 8(1), 30–43. https://doi.org/10.5937/jouproman8-24520
  • 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
  • Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21(3), 719-734. https://doi.org/10.1007/s10796-017-9774-y
  • Ekaimi, S., Utomo, P., Gunawan, D., Jimmy, S. Y., & Christian, M. (2024). Examining the factors influencing teleconsultation adoption during the pandemic using the TAM model. Global Business & Finance Review (GBFR), 29(3), 149–160. https://doi.org/10.17549/gbfr.2024.29.3.149
  • Er, H., & Karagöz, İ. (2022). Mobil bankacılık kullanımlarının Genişletilmiş Birleşik Kabul ve Teknoloji Kullanımı Teorisi çerçevesinde incelenmesi. Finans Ekonomi ve Sosyal Araştırmalar Dergisi, 7(4), 689–702. https://doi.org/10.29106/fesa.1163390
  • 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. https://doi.org/10.1108/IJBM-10-2017-0215
  • 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/10.1177/002224378101800104
  • 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/10.1177/002224378101800104
  • Gharaibeh, M. K., Arshad, M. R. M., & Gharaibh, N. K. (2018). Using the UTAUT2 model to determine factors affecting adoption of mobile banking services: A qualitative approach. International Journal of Interactive Mobile Technologies, 12(4), 123–134. https://doi.org/10.3991/ijim.v12i4.8525
  • Goyal, A. (2017). Conditions for inclusive innovation with application to telecom and mobile banking. Innovation and Development, 7(2), 227–248. https://doi.org/10.1080/2157930X.2016.1187845
  • Gu, J., Lee, S., & Suh, Y. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605–11616. https://doi.org/10.1016/j.eswa.2009.03.024
  • Gupta, K. P., Manrai, R., & Goel, U. (2019). Factors influencing adoption of payments banks by Indian customers: Extending UTAUT with perceived credibility. Journal of Asia Business Studies, 13(2), 173–195. https://doi.org/10.1108/JABS-07-2017-0111
  • Güler, H., Şahinkayası, Y., & Şahinkayası, H. (2017). İnternet ve mobil teknolojilerin yaygınlaşması: Fırsatlar ve sınırlılıklar. Kilis 7 Aralık Üniversitesi Sosyal Bilimler Dergisi, 7(14), 186–207. https://dergipark.org.tr/en/download/article-file/386968
  • Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis: A global perspective (Vol. 7). Pearson Education.
  • Hair, J. F., Jr., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS‑SEM) using R: A workbook. Springer Nature. https://doi.org/10.1007/978-3-030-80519-7
  • Hair, J. F., Sarstedt, M., & Ringle, C. M. (2019). Rethinking some of the rethinking of partial least squares. European Journal of Marketing, 53(4), 566–584. https://doi.org/10.1108/EJM-10-2018-0665
  • Harahap, D. (2023). Determinants Of Intention To Use Islamic Mobile Banking On Millennial Generation: Evidence From Indonesia. Jurnal Ilmu Manajemen Dan Bisnis Islam, 9(2), 1-17. https://scholar.archive.org/work/h4sqk4phmngu5mjxugvli3xday/access/wayback/http://jurnal.iain-padangsidimpuan.ac.id/index.php/attijaroh/article/download/8533/pdf
  • Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382
  • Hidayah, N., Mutiara, T., Salim, A., & Maulana, A. I. (2024, October). Mobile Islamic banking consumer behaviour in Indonesia. In 2024 12th International Conference on Cyber and IT Service Management (CITSM) (pp. 1–6). IEEE. https://doi.org/10.1109/CITSM64103.2024.10775505
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
  • Ingale, A. (2024). Financial inclusion through mobile banking in emerging economies. Available at SSRN: https://ssrn.com/abstract=5060697 or http://dx.doi.org/10.2139/ssrn.5060697
  • Iskandar, M., Hartoyo, H., & Hermadi, I. (2020). Analysis of factors affecting behavioral intention and use behavior of mobile banking using Unified Theory of Acceptance and Use of Technology 2 model approach. International Review of Management and Marketing, 10(2), 41–49. https://doi.org/10.32479/irmm.9292
  • Ivanova, A., & Kim, J. Y. (2022). Acceptance and use of mobile banking in Central Asia: Evidence from modified UTAUT model. The Journal of Asian Finance, Economics and Business, 9(2), 217–227. https://doi.org/10.13106/jafeb.2022.vol9.no2.0217
  • Johar, R. S., & Suhartanto, D. (2019, November). The adoption of online internet banking in Islamic banking industry. In IOP Conference Series: Materials Science and Engineering (Vol. 662, No. 3, Article 032032). IOP Publishing. https://doi.org/10.1088/1757-899X/662/3/032032
  • Karataş, Ö., & Bozkurt, Ö. Ç. (2019). Mobil bankacılık hizmetlerinde müşteri memnuniyeti üzerine bir araştırma (Published master’s thesis). Burdur Mehmet Akif Ersoy Üniversitesi, Sosyal Bilimler Enstitüsü, Burdur. https://smartofjournal.com/files/smartjournal/1019952393_01_6.29_ID459_%C3%87etinkaya_223-234.pdf
  • Kazi, A. K., & Mannan, M. A. (2013). Factors affecting adoption of mobile banking in Pakistan: Empirical evidence. MPRA Paper, No. 47922. https://mpra.ub.uni-muenchen.de/47922/
  • Kesharwani, A., & Singh Bisht, S. (2012). The impact of trust and perceived risk on internet banking adoption in India: An extension of technology acceptance model. International Journal of Bank Marketing, 30(4), 303–322. https://doi.org/10.1108/02652321211236923
  • Khan, I. U., Hameed, Z., & Hamayun, M. (2019). Investigating the acceptance of electronic banking in the rural areas of Pakistan: An application of the unified model. Business and Economic Review, 11(3), 57–87. https://doi.org/10.22547/BER/11.3.3
  • Khan, I. U., Hameed, Z., Khan, S. N., Khan, S. U., & Khan, M. T. (2022). Exploring the effects of culture on acceptance of online banking: A comparative study of Pakistan and Turkey by using the extended UTAUT model. Journal of Internet Commerce, 21(2), 183–216. https://doi.org/10.1080/15332861.2021.1882749
  • Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision support systems, 44(2), 544-564. https://doi.org/10.1016/j.dss.2007.07.001
  • Kline, R. B. (2023). Principles and practice of structural equation modeling (5th ed.). The Guilford Press.
  • Korkmaz, Ö. F., Korkmaz, S. S., & Sunar, H. (2023). Kamu ve özel bankalarda mobil bankacılık özelliklerinin mobil bankacılık kalitesi üzerine ve mobil bankacılık kalitesinin banka itibarı üzerine etkisinin belirlenmesi: Giresun ili örneği. Selçuk Üniversitesi Akşehir Meslek Yüksekokulu Sosyal Bilimler Dergisi, 16, 146–160. https://dergipark.org.tr/tr/pub/akmyosb/issue/82449/1397950
  • Kuzu, E. B. (2014). Bilişim teknolojileri öğretmen adayları arasında çevrimiçi sosyal ağların öğretim amaçlı kullanımı, (Published doctoral thesis). Anadolu Üniversitesi Eğitim Bilimleri Enstitüsü, Eskişehir. https://www.proquest.com/docview/2564078057?pq-origsite=gscholar&fromopenview=true&sourcetype=Dissertations%20&%20Theses
  • Laukkanen, T. (2007). Internet vs mobile banking: Comparing customer value perceptions. Business Process Management Journal, 13(6), 788–797. https://doi.org/10.1108/14637150710834550
  • Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025). Understanding psychosocial barriers to healthcare technology adoption: A review of TAM technology acceptance model and unified theory of acceptance and use of technology and UTAUT frameworks. Healthcare, 13(3), 250. https://doi.org/10.3390/healthcare13030250
  • Lestari, D., & Rahmanto, B. T. (2023). Fintech and its challenge for banking sector. The Management Journal of Binaniaga, 6(1), 55–70. https://doi.org/10.33062/mjb.v6i1.428
  • Lim, F. W., Fakhrorazi, A., Ikhsan, R. B., Silitonga, K., Loke, W. K., & Abdullah, N. (2023). Personal innovativeness and facilitating conditions in shaping the outlooks toward m‑banking adoption among Generation Y in Malaysia. International Journal of Electrical and Computer Engineering, 13(4), 4616–4626. https://doi.org/10.11591/ijece.v13i4.pp4101-4111
  • Luo, X., Li, H., Zhang, J., & Shim, J. P. (2010). Examining multi‑dimensional trust and multi‑faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision Support Systems, 49(2), 222–234. https://doi.org/10.1016/j.dss.2010.02.008
  • Makanyeza, C. (2017). Determinants of consumers’ intention to adopt mobile banking services in Zimbabwe. International Journal of Bank Marketing, 35(6), 997–1017. https://doi.org/10.1108/IJBM-07-2016-0099
  • Mansour, M. M. O. (2020). Acceptance of mobile banking in Islamic banks: Integration of DeLone and McLean IS model and Unified Theory of Acceptance and Use of Technology. International Journal of Business Excellence, 21(4), 564–584. https://doi.org/10.1504/IJBEX.2020.108552
  • Marakarkandy, B., Yajnik, N., & Dasgupta, C. (2017). Enabling internet banking adoption: An empirical examination with an augmented technology acceptance model (TAM). Journal of Enterprise Information Management, 30(2), 263–294. https://doi.org/10.1108/JEIM-10-2015-0094
  • Markoska, K., Ivanochko, I., & Gregus, M. (2017). Mobile banking services—Business information management with mobile payments. In Agile information business: Exploring managerial implications (pp. 125–175). Springer. https://doi.org/10.1007/978-981-10-3358-2_5
  • Mohd Thas Thaker, H., Mohd Thas Thaker, M. A., Khaliq, A., Allah Pitchay, A., & Iqbal Hussain, H. (2022). Behavioural intention and adoption of internet banking among clients of Islamic banks in Malaysia: An analysis using UTAUT2. Journal of Islamic Marketing, 13(5), 1171–1197. https://doi.org/10.1108/JIMA-11-2019-0228
  • Momani, A. M. (2020). The unified theory of acceptance and use of technology: A new approach in technology acceptance. International Journal of Sociotechnology and Knowledge Development, 12(3), 79–98. https://doi.org/10.4018/IJSKD.2020070105
  • Morales, D. T., & Trinidad, F. L. (2019). Digital mortgage banking acceptability in Philippine universal banks: Evidence from UTAUT model. Journal of Information System and Technology Management, 4(15), 01–15. https://doi.org/10.35631/jistm.415001
  • Mostafa, A. A., & Eneizan, B. (2018). Factors affecting acceptance of mobile banking in developing countries. International Journal of Academic Research in Business and Social Sciences, 8(1), 340–351. https://doi.org/10.6007/IJARBSS/v8-i1/3812
  • Oliveira, T., Faria, M., Thomas, M. A., & Popovič, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 34(5), 689–703. https://doi.org/10.1016/j.ijinfomgt.2014.06.004
  • Orina, C. O. (2020). The effect of mobile banking on operational efficiency of commercial banks in Kenya (Published master’s thesis). KCA University. Nairobi, Kenya. https://repository.kcau.ac.ke/handle/123456789/600
  • Oye, N. D., Iahad, N. A., & Ab. Rahim, N. Z. (2014). The history of UTAUT model and its impact on ICT acceptance and usage by academicians. Education and Information Technologies, 19, 251–270. https://doi.org/10.1007/s10639-012-9189-9
  • Rachmawati, I. K., Bukhori, M., Majidah, Y., & Hidayatullah, S. (2020). Analysis of use of mobile banking with acceptance and use of technology (UTAUT). International Journal of Scientific and Technology Research, 9(8), 534–540. https://www.ijstr.org/final-print/aug2020/Analysis-Of-Use-Of-Mobile-Banking-With-Acceptance-And-Use-Of-Technology-utaut.pdf
  • Ramayah, T., Lee, J. W. C., & Mohamad, O. (2010). Green product purchase intention: Some insights from a developing country. Resources, Conservation and Recycling, 54(12), 1419–1427. https://doi.org/10.1016/j.resconrec.2010.06.007
  • 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. https://doi.org/10.1108/JIMA-04-2017-0038
  • Rofi’i, A., Firdaus, D. R., & Moridu, I. (2023). The analysis of user acceptance using UTAUT and DeLone & McLean model: Study case of banking mobile application. Journal of Information System, Technology and Engineering, 1(1), 21–25. https://doi.org/10.61487/jiste.v1i1.11
  • Saeed, K. (2011). Understanding the adoption of mobile banking services: An empirical assessment. In Proceedings of the 2011 Americas Conference on Information Systems (AMCIS)-Submissions 5, Detroit, MI. https://aisel.aisnet.org/amcis2011_submissions/5
  • Safira, J. E., & Baridwan, Z. (2018). The analysis of individual’s behavioral intention in using mobile banking based on TAM and UTAUT2. Sarjana thesis, Universitas Brawijaya. http://repository.ub.ac.id/id/eprint/163711
  • Safitri, D., Sofyan, J. F., Negoro, D. A., & Kusmayadi, A. (2024). Analisis behavioral intention mobile banking dengan model UTAUT2. Innovative: Journal of Social Science Research, 4(3), 571–587. https://doi.org/10.31004/innovative.v4i3.10417
  • Saghafian, M., Laumann, K., & Skogstad, M. R. (2021). Stagewise overview of issues influencing organizational technology adoption and use. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.630145
  • Sair, S. A., & Danish, R. Q. (2018). Effect of performance expectancy and effort expectancy on the mobile commerce adoption intention through personal innovativeness among Pakistani consumers. Pakistan Journal of Commerce and Social Sciences, 12(2), 501–520. https://hdl.handle.net/10419/188355
  • Samartha, V., Shenoy Basthikar, S., Hawaldar, I. T., Spulbar, C., Birau, R., & Filip, R. D. (2022). A study on the acceptance of mobile-banking applications in India-Unified Theory of Acceptance and Sustainable Use of Technology model (UTAUT). Sustainability, 14(21), 14506. https://doi.org/10.3390/su142114506
  • Santouridis, I., & Kyritsi, M. (2014). Investigating the determinants of internet banking adoption in Greece. Procedia Economics and Finance, 9, 501–510. https://doi.org/10.1016/S2212-5671(14)00051-3
  • Sarfaraz, J. (2017). Unified Theory of Acceptance and Use of Technology (UTAUT) model-Mobile banking. Journal of Internet Banking and Commerce, 22(3), 1–20. https://www.icommercecentral.com/
  • Sarstedt, M., Ringle, C.M., Hair, J.F. (2022). Partial Least Squares Structural Equation Modeling. In: Homburg, C., Klarmann, M., Vomberg, A. (eds) Handbook of Market Research. Springer, Cham. https://doi.org/10.1007/978-3-319-57413-4_15
  • Shachak, A., Kuziemsky, C., & Petersen, C. (2019). Beyond TAM and UTAUT: Future directions for HIT implementation research. Journal of Biomedical Informatics, 100, 1-5. https://doi.org/10.1016/j.jbi.2019.103315
  • Singh, S., & Srivastava, R. K. (2014). Factors influencing the adoption of mobile banking in India. International Journal of E‑Services and Mobile Applications, 6(4), 1–15. https://doi.org/10.4018/ijesma.2014100101
  • Sitorus, H. M., Govindaraju, R., Wiratmadja, I. I., & Sudirman, I. (2019). Examining the role of usability, compatibility and social influence in mobile banking adoption in Indonesia. International Journal of Technology, 10(2), 351–362. https://doi.org/10.14716/ijtech.v10i2.886
  • Sudarsono, H., Kholid, M. N., Trisanty, A., Shidiqie, J. S. A., & Suseno, P. (2022). Examining the adoption of mobile banking: Empirical evidence from Indonesian Muslim students. Banks and Bank Systems, 17(2), 138–149. http://dx.doi.org/10.21511/bbs.17(2).2022.12
  • Susilowati, A., Rianto, B., Wijaya, N., & Sanny, L. (2021). Effects of UTAUT2 model on the use of BCA mobile banking in Indonesia. Turkish Journal of Computer and Mathematics Education, 12(3), 5378–5387. https://www.proquest.com/docview/2625344136
  • Şahin, B. Ş., & Cantürk, B. C. (2020). Türkiye’deki hukuki altyapı ve Ödeme Hizmetleri Yönergesi 2 bağlamında API teknolojisi ve açık bankacılık. Maliye ve Finans Yazıları, 34(114), 149–180. https://doi.org/10.33203/mfy.637661
  • Tannady, H., Dewi, C. S. & Gilbert (2024). Exploring role of technology performance expectancy, application effort expectancy, perceived risk and perceived cost on digital behavioral intention of GoFood users. Jurnal Informasi dan Teknologi, 6(1), 80–85. https://doi.org/10.60083/jidt.v6i1.477
  • Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS quarterly, 15 (1), 125-143. https://doi.org/10.2307/249443
  • Thusi, P., & Maduku, D. K. (2020). South African millennials’ acceptance and use of retail mobile banking apps: An integrated perspective. Computers in Human Behavior, 111, 1-10. https://doi.org/10.1016/j.chb.2020.106405
  • Tian, Y., & Wang, X. (2022). A study on psychological determinants of users’ autonomous vehicles adoption from anthropomorphism and UTAUT perspectives. Frontiers in Psychology, 13, 986800. https://doi.org/10.3389/fpsyg.2022.986800
  • Türkiye İstatistik Kurumu (TÜİK). (2024). Hanehalkı bilişim teknolojileri (BT) kullanım araştırması, 2024 [Veri seti]. https://data.tuik.gov.tr/Bulten/Index?p=Hanehalki-Bilisim-Teknolojileri-(BT)-Kullanim-Arastirmasi-2024-53492 (Access date: 20 October 2025).
  • Varma, A. (2018). Mobile banking choices of entrepreneurs: A unified theory of acceptance and use of technology (UTAUT) perspective. Theoretical Economics Letters, 8(14), 2921-2937. https://doi.org/10.4236/tel.2018.814183
  • Venkatesh, V., Brown, S. A., Maruping, L. M., & Bala, H. (2008). Predicting different conceptualizations of system use: The competing roles of behavioral intention, facilitating conditions, and behavioral expectation. MIS quarterly, 32(3), 483-502. https://doi.org/10.2307/25148853
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
  • Wang, G., & Netemeyer, R. G. (2002). The effects of job autonomy, customer demandingness, and trait competitiveness on salesperson learning, self-efficacy, and performance. Journal of the academy of marketing science, 30(3), 217-228. https://doi.org/10.1177/0092070302303003
  • We Are Social, & Meltwater. (2024, Şubat). Digital 2024: Turkey. DataReportal. https://datareportal.com/reports/digital-2024-turkey (Access date: 20 October 2025)
  • Xu, Z., Li, Y., & Hao, L. (2022). An empirical examination of UTAUT model and social network analysis. Library Hi Tech, 40(1), 18–32. https://doi.org/10.1108/LHT-11-2018-0175
  • Yaseen, S. G., El Qirem, I. A., & Dajani, D. (2022). Islamic mobile banking smart services adoption and use in Jordan. ISRA International Journal of Islamic Finance, 14(3), 349–362. https://doi.org/10.1108/IJIF-04-2021-0065
  • Yu, C.-S. (2012). Factors affecting individuals to adopt mobile banking: Empirical evidence from the UTAUT model. Journal of Electronic Commerce Research, 13(2), 104–121. http://jecr.org/sites/default/files/13_3_p01_0.pdf
  • Yüksel, B., & Artar, O. K. (2022). Türkiye’de dijitalleşme ve ülke ekonomisi üzerindeki olası etkilerinin değerlendirilmesi. İstanbul Ticaret Üniversitesi Working Paper Series, 3(2), 99–116. https://doi.org/10.5281/zenodo.6652464
  • Zhou, T. (2008, August). Exploring mobile user acceptance based on UTAUT and contextual offering. In 2008 International Symposium on Electronic Commerce and Security (pp. 241–245). IEEE. https://doi.org/10.1109/ISECS.2008.10
  • Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760–767. https://doi.org/10.1016/j.chb.2010.01.013
There are 98 citations in total.

Details

Primary Language English
Subjects Econometric and Statistical Methods, Finance
Journal Section Research Article
Authors

Yunus Kutval 0000-0003-0063-9157

Submission Date November 3, 2025
Acceptance Date December 26, 2025
Publication Date January 26, 2026
Published in Issue Year 2026 Volume: 27 Issue: 1

Cite

APA Kutval, Y. (2026). A UTAUT-BASED STUDY ON THE ADOPTION OF ISLAMIC (PARTICIPATION) BANKING MOBILE APPLICATIONS IN TÜRKİYE. Cumhuriyet Üniversitesi İktisadi Ve İdari Bilimler Dergisi, 27(1), 97-118. https://doi.org/10.37880/cumuiibf.1816688

Cumhuriyet University Journal of Economics and Administrative Sciences is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY NC).