Yıl 2026,
Cilt: 15 Sayı: 1, 250 - 266, 16.01.2026
Şahsene Altınkaya
,
Ramazan Nacar
Kaynakça
-
Ajzen, I. (1991). The Theory of planned behavior. Organizational Behavior and Human Decision Processes.
-
Al-Rahmi, A., Shamsuddin, A., Wahab, E., Al-Rahmi, W., Alismaiel, O., & Crawford, J. (2022). Social media
usage and acceptance in higher education: a structural equation model. Frontiers in Education, 7.
https://doi.org/10.3389/feduc.2022.964456
-
Altunışık, R., Coşkun, R., Bayraktaroğlu, S., & Yıldırım, E. (2017). Sosyal bilimlerde araştırma yöntemleri SPSS
uygulamalı. Sakarya: Sakarya Yayıncılık.
-
Altuntaş, C. (2011). Elektronik ticaretin muhasebeleştirilmesi ve vergilendirilmesi sorunları: bir uygulama
(Yüksek Lisans Tezi). İstanbul Üniversitesi, Sosyal Bilimler Enstitüsü, İstanbul.
-
Alwi, S., Salleh, M. N. M., Alpandi, R. M., Ya'acob, F. F., & Abdullah, S. M. M. (2021). Fintech as financial inclusion:
factors affecting behavioral intention to accept mobile e-wallet during covid-19 outbreak. Turkish Journal
of Computer and Mathematics Education (TURCOMAT), 12(7), 2130-2141. doi: 10.17762/turcomat.v12i7.3356
-
Amron, M. T., Mohamad, M. A., & Noh, N. H. M. (2024). E-Wallet Payment Usage Among Young Consumers
Using Technology Continuance Theory. Information Management and Business Review, 16(2 (I) S), 189-197.
-
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
-
Büyüköztürk, Ş. (2007). Sosyal bilimler için veri analiz el kitabı: istatistik araştırma deseni, SPSS Uygulamaları
ve Yorum. Ankara: Pegem Akademi.
-
Cahill, T. & Cummings, J. (2023). Effects of congruity on the state of user presence in virtual environments:
results from a breaching experiment. Frontiers in Virtual Reality, 4. https://doi.org/10.3389/frvir.2023.1048812
-
Chellappan, K., Elanchselvan, T., & Abu-Samah, A. (2025). E-wallet Delivery Technology Architecture
Adoption: A Review. Jurnal Kejuruteraan, 37(1), 219-232. https://doi.org/10.17576/jkukm-2025-37(1)-14
-
Cheng, H. H., & Huang, S. W. (2013). Exploring antecedents and consequence of online group-buying
intention: an extended perspective on theory of planned behavior. International Journal of Information
Management, 33(1), 185-198. doi: 10.1016/j.ijinfomgt.2012.09.003
-
Clark, B. (2001). Electronic wallets: past, present and future. Gpayments.
https://www.gpayments.com/Portals/0/pdfs/GPayments_eWallet_Whitepaper.pdf
-
Çölkesen, R., & Kipman, E. (2008). Mobil se-cüzdan mimari tasarımı ve uygulaması. X. Akademik Bilişim
Konferansı 2008 (pp. 517-522). Çanakkale: Çanakkale Onsekiz Mart Üniversitesi.
-
Daragmeh, A., Sági, J., & Zéman, Z. (2021). Continuous intention to use e-wallet in the context of the covıd-19
pandemic: integrating the Health Belief Model (HBM) and Technology Continuous Theory (TCT). Journal of
Open Innovation: Technology, Market, and Complexity, 132(7), 1-23. doi: 10.3390/joitmc7020132
-
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information
technology. MIS Quarterly, 13(3), 319-340. doi: 10.2307/249008
-
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of
two theoretical models. Management Science, 35(8), 982-1003. doi: 10.1287/mnsc.35.8.982
-
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-
year update. Journal of Management Information Systems, 19(4), 9-30. doi: 10.1080/07421222.2003.11045748
-
Erdem, H. K. (2011). Kurumsal kaynak planlama sistemlerinin kullanımında etkili olan faktörlerin genişletilmiş
teknoloji kabul modeli ile incelenmesi (Doktora Tezi). İstanbul Teknik Üniversitesi: İstanbul.
-
Evanschitzky, H., Ramaseshan, B., Woisetschläger, D. M., Richelsen, V., Blut, M., & Backhaus, C. (2012).
Consequences of customer loyalty to the loyalty program and to the company. Journal of the Academy of
Marketing Science, 40(5), 625-638. doi: 10.1007/s11747-011-0272-3
-
Faizah, S., Dina, L., Kartiko, A., Ma`arif, M., & Hasan, M. (2023). Student acceptance study of PHET simulation
with an expanded technology acceptance model approach. Journal of Applied Engineering and
Technological Science (JAETS), 5(1), 279-290. https://doi.org/10.37385/jaets.v5i1.3041
-
Fareed, T. (2023). A Systemic Review of Payment Technologies with a Special Focus on Digital Wallets.
Financial Technologies and DeFi: A Revisit to the Digital Finance Revolution, 89-97.
-
Gloria, A. M., & Robinson-Kurpius, S. E. (1996). The validation of the cultural congruity scale and the university
environment scale with chicano/a students. Hispanic Journal of Behavioral Sciences, 18(4), 533-549. doi:
10.1177/0739986396018
-
Güriş, S., & Astar, M. (2014). Bilimsel araştırmalarda SPSS ile istatistik. İstanbul: Der Yayınları.
-
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis. Essex: Pearson
Education Limited.
-
Jiang, Q., Gu, C., Yan, F., Wei, W., & Tsai, W. (2022). Study on the continuance intention in using virtual shoe-
try-on function in mobile online shopping. Kybernetes, 52(10), 4551-4575. https://doi.org/10.1108/k-12-2021-
1346
-
Juniper Research (2022), Digital Wallet Users to Exceed 5.2 Billion Globally by 2026,
https://www.juniperresearch.com/press/digital-wallet-users-exceed-5bn-globally-2026/
-
Kalaycı, Ş. (2010). SPSS uygulamalı çok değişkenli istatistik teknikleri. Ankara: Asil Yayınları.
-
Kandimalla, N. V., & Mari, V. (2020). Digital wallet payments (Doctoral Dissertation). Politecnico Milano, Italy.
-
Kavut, S. (2023). Türkiye’de dijital kimlik ve dijital gözetim üzerine bir değerlendirme. Dijital Çağda Medya,
67.
-
Kılıç, S. (2013). Doğrusal regresyon analizi. Journal of Mood Disorders, 3(2), 90-93. doi:
10.5455/jmood.20130624120840
-
Kwahk, K. Y., & Lee, J. N. (2008). The role of readiness for change in ERP implementation: theoretical bases
and empirical validation. Information and Management, 45(7), 474-481. doi: 10.1016/j.im.2008.07.002
-
Lu, J., Yao, J. E., & Yu, C. S. (2005). Personal innovativeness, social influences and adoption of wireless internet
services via mobile technology. Journal of Strategic Information Systems, 14(3), 245-268.
-
Malhotra, N. K. (2010). Marketing research: an applied orientation. New Jersey: Pearson Education Inc.
-
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an
information technology innovation. Information Systems Research, 2(3), 192-222. doi: 10.1287/isre.2.3.192
-
Nochai, R., & Nochai, T. (2013). The impact of internet banking service on customer satisfaction in Thailand: a
case study in Bangkok. International Journal of Humanities and Management Sciences, 1(1), 1001-105.
-
Olsen, M., Hedman, J., & Vatrapu, R. (2011). E-wallet properties. 10th International Conference on Mobile
Business (pp. 158-165). Como, Italy: IEEE.
-
Pertiwi, D., Suprapto, W., & Pratama, E. (2020). Perceived usage of e-wallet among the Y generation in
Surabaya based on technology acceptance model. Jurnal Teknik Industri, 1(22), 17-24.
-
Prawira, F. R., Prakoso, N. T., Handayani, P. W., & Harahap, N. C. (2024). The influence of information security
factors on the continuance use of electronic wallet. Procedia Computer Science, 234, 1467-1475.
-
Rahman, H. and Hidayat, R. (2019). Influencing factors in the depth-usage of social media as the business
platform by student entrepreneurs. Amar (Andalas Management Review), 3(1), 19-54.
https://doi.org/10.25077/amar.3.1.19-54.2019
-
Renaud, K., & van Biljon, J. (2008). Predicting technology acceptance and adoption by the elderly: a
qualitative study. The 2008 annual research conference of the South African Institute of Computer
Scientists and Information Technologists (pp. 210-219). Wilderness, South Africa.
-
Rogers, E. M. (1962, 1983). Diffusion of innovations. New York: Free Press.
-
Salodkar, A., Morey, K., & Shirbhate, M. (2015). Electronic wallet. International Research Journal of Engineering
and Technology, 2(9), 975-977.
-
Shetu, S. N., Islam, M. M., & Promi, S. I. (2022). An empirical investigation of the continued usage intention of
digital wallets: The moderating role of perceived technological innovativeness. Future Business Journal,
8(1), 43.
-
Singh, S., & Ghatak, S. (2021). Investigating e-wallet adoption in India: extending the TAM model.
International Journal of E-Business Research, 3(17), 42-54. doi: 10.4018/IJEBR.2021070103
-
Sipahi, B., Yurtkoru, E. S., & Çinko, M. (2010). Sosyal bilimlerde SPSS’le veri analizi. İstanbul: Beta Yayıncılık.
-
Sukendro, S., Habibi, A., Khaeruddin, K., Indrayana, B., Syahruddin, S., Makadada, F., A. & Hakim, H. (2020).
Using an extended technology acceptance model to understand students’ use of e-learning during covid-
19: indonesian sport science education context. Heliyon, 6(11), e05410.
https://doi.org/10.1016/j.heliyon.2020.e05410
-
Tombaş, H., & Çelik, A. A. (2022). Genç tüketicilerin elektronik ödeme yöntemi kullanımlarının belirleyicilerine
dair alan araştırması. Abant Sosyal Bilimler Dergisi, 22(1), 47-63.
-
Uddin, M. S., & Akhi, A. Y. (2014). E-wallet system for Bangladesh an electronic payment system. International
Journal of Modeling and Optimization, 3(4), 216-219.
-
Upadhayaya, A. (2012). Electronic commerce and e-wallet. International Journal of Recent Research and
Review, 1(1), 37-41.
-
Uysal, F. M. (2023). Dijital Cüzdan: Güvenli ve Maliyet Etkin Bir Altyapı Yaklaşımı. Orclever Proceedings of
Research and Development, 3(1), 490-501.
-
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions.
Decision Sciences, 39(2), 273-315. doi: 10.1111/j.1540-5915.2008.00192.x
-
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. doi: 10.2307/30036540
-
Warshaw, P. R., & Davis, F. (1985). Disentangling behavioral intention and behavioral expectation. Journal of
Experimental Social Psychology, 21(3), 213-228. doi: 10.1016/0022-1031(85)90017-4
-
Wibisono, N., Rafdinal, W., & Setiawati, L. (2024). Tourism in the virtual age: predicting the adoption of virtual
reality applications in tourism. International Journal of Applied Sciences in Tourism and Events, 8(1), 9-23.
https://doi.org/10.31940/ijaste.v8i1.9-23
-
Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce? an empirical evaluation of the revised
technology acceptance model. Information & Management, 42(5), 719-729. doi: 10.1016/j.im.2004.07.001
-
Zaid, M. (2024). The effect of revisiting technology acceptance model on the behavioral targeting
declaration. Journal Dimensie Management and Public Sector, 5(1), 45-61.
https://doi.org/10.48173/jdmps.v5i1.260
-
Zaineldeen, S., Li, H., Koffi, A., & Hassan, B. (2020). Technology acceptance model concepts, contribution,
limitation, and adoption in education. Universal Journal of Educational Research, 8(11), 5061-5071.
https://doi.org/10.13189/ujer.2020.081106
Yıl 2026,
Cilt: 15 Sayı: 1, 250 - 266, 16.01.2026
Şahsene Altınkaya
,
Ramazan Nacar
Kaynakça
-
Ajzen, I. (1991). The Theory of planned behavior. Organizational Behavior and Human Decision Processes.
-
Al-Rahmi, A., Shamsuddin, A., Wahab, E., Al-Rahmi, W., Alismaiel, O., & Crawford, J. (2022). Social media
usage and acceptance in higher education: a structural equation model. Frontiers in Education, 7.
https://doi.org/10.3389/feduc.2022.964456
-
Altunışık, R., Coşkun, R., Bayraktaroğlu, S., & Yıldırım, E. (2017). Sosyal bilimlerde araştırma yöntemleri SPSS
uygulamalı. Sakarya: Sakarya Yayıncılık.
-
Altuntaş, C. (2011). Elektronik ticaretin muhasebeleştirilmesi ve vergilendirilmesi sorunları: bir uygulama
(Yüksek Lisans Tezi). İstanbul Üniversitesi, Sosyal Bilimler Enstitüsü, İstanbul.
-
Alwi, S., Salleh, M. N. M., Alpandi, R. M., Ya'acob, F. F., & Abdullah, S. M. M. (2021). Fintech as financial inclusion:
factors affecting behavioral intention to accept mobile e-wallet during covid-19 outbreak. Turkish Journal
of Computer and Mathematics Education (TURCOMAT), 12(7), 2130-2141. doi: 10.17762/turcomat.v12i7.3356
-
Amron, M. T., Mohamad, M. A., & Noh, N. H. M. (2024). E-Wallet Payment Usage Among Young Consumers
Using Technology Continuance Theory. Information Management and Business Review, 16(2 (I) S), 189-197.
-
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
-
Büyüköztürk, Ş. (2007). Sosyal bilimler için veri analiz el kitabı: istatistik araştırma deseni, SPSS Uygulamaları
ve Yorum. Ankara: Pegem Akademi.
-
Cahill, T. & Cummings, J. (2023). Effects of congruity on the state of user presence in virtual environments:
results from a breaching experiment. Frontiers in Virtual Reality, 4. https://doi.org/10.3389/frvir.2023.1048812
-
Chellappan, K., Elanchselvan, T., & Abu-Samah, A. (2025). E-wallet Delivery Technology Architecture
Adoption: A Review. Jurnal Kejuruteraan, 37(1), 219-232. https://doi.org/10.17576/jkukm-2025-37(1)-14
-
Cheng, H. H., & Huang, S. W. (2013). Exploring antecedents and consequence of online group-buying
intention: an extended perspective on theory of planned behavior. International Journal of Information
Management, 33(1), 185-198. doi: 10.1016/j.ijinfomgt.2012.09.003
-
Clark, B. (2001). Electronic wallets: past, present and future. Gpayments.
https://www.gpayments.com/Portals/0/pdfs/GPayments_eWallet_Whitepaper.pdf
-
Çölkesen, R., & Kipman, E. (2008). Mobil se-cüzdan mimari tasarımı ve uygulaması. X. Akademik Bilişim
Konferansı 2008 (pp. 517-522). Çanakkale: Çanakkale Onsekiz Mart Üniversitesi.
-
Daragmeh, A., Sági, J., & Zéman, Z. (2021). Continuous intention to use e-wallet in the context of the covıd-19
pandemic: integrating the Health Belief Model (HBM) and Technology Continuous Theory (TCT). Journal of
Open Innovation: Technology, Market, and Complexity, 132(7), 1-23. doi: 10.3390/joitmc7020132
-
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information
technology. MIS Quarterly, 13(3), 319-340. doi: 10.2307/249008
-
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of
two theoretical models. Management Science, 35(8), 982-1003. doi: 10.1287/mnsc.35.8.982
-
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-
year update. Journal of Management Information Systems, 19(4), 9-30. doi: 10.1080/07421222.2003.11045748
-
Erdem, H. K. (2011). Kurumsal kaynak planlama sistemlerinin kullanımında etkili olan faktörlerin genişletilmiş
teknoloji kabul modeli ile incelenmesi (Doktora Tezi). İstanbul Teknik Üniversitesi: İstanbul.
-
Evanschitzky, H., Ramaseshan, B., Woisetschläger, D. M., Richelsen, V., Blut, M., & Backhaus, C. (2012).
Consequences of customer loyalty to the loyalty program and to the company. Journal of the Academy of
Marketing Science, 40(5), 625-638. doi: 10.1007/s11747-011-0272-3
-
Faizah, S., Dina, L., Kartiko, A., Ma`arif, M., & Hasan, M. (2023). Student acceptance study of PHET simulation
with an expanded technology acceptance model approach. Journal of Applied Engineering and
Technological Science (JAETS), 5(1), 279-290. https://doi.org/10.37385/jaets.v5i1.3041
-
Fareed, T. (2023). A Systemic Review of Payment Technologies with a Special Focus on Digital Wallets.
Financial Technologies and DeFi: A Revisit to the Digital Finance Revolution, 89-97.
-
Gloria, A. M., & Robinson-Kurpius, S. E. (1996). The validation of the cultural congruity scale and the university
environment scale with chicano/a students. Hispanic Journal of Behavioral Sciences, 18(4), 533-549. doi:
10.1177/0739986396018
-
Güriş, S., & Astar, M. (2014). Bilimsel araştırmalarda SPSS ile istatistik. İstanbul: Der Yayınları.
-
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis. Essex: Pearson
Education Limited.
-
Jiang, Q., Gu, C., Yan, F., Wei, W., & Tsai, W. (2022). Study on the continuance intention in using virtual shoe-
try-on function in mobile online shopping. Kybernetes, 52(10), 4551-4575. https://doi.org/10.1108/k-12-2021-
1346
-
Juniper Research (2022), Digital Wallet Users to Exceed 5.2 Billion Globally by 2026,
https://www.juniperresearch.com/press/digital-wallet-users-exceed-5bn-globally-2026/
-
Kalaycı, Ş. (2010). SPSS uygulamalı çok değişkenli istatistik teknikleri. Ankara: Asil Yayınları.
-
Kandimalla, N. V., & Mari, V. (2020). Digital wallet payments (Doctoral Dissertation). Politecnico Milano, Italy.
-
Kavut, S. (2023). Türkiye’de dijital kimlik ve dijital gözetim üzerine bir değerlendirme. Dijital Çağda Medya,
67.
-
Kılıç, S. (2013). Doğrusal regresyon analizi. Journal of Mood Disorders, 3(2), 90-93. doi:
10.5455/jmood.20130624120840
-
Kwahk, K. Y., & Lee, J. N. (2008). The role of readiness for change in ERP implementation: theoretical bases
and empirical validation. Information and Management, 45(7), 474-481. doi: 10.1016/j.im.2008.07.002
-
Lu, J., Yao, J. E., & Yu, C. S. (2005). Personal innovativeness, social influences and adoption of wireless internet
services via mobile technology. Journal of Strategic Information Systems, 14(3), 245-268.
-
Malhotra, N. K. (2010). Marketing research: an applied orientation. New Jersey: Pearson Education Inc.
-
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an
information technology innovation. Information Systems Research, 2(3), 192-222. doi: 10.1287/isre.2.3.192
-
Nochai, R., & Nochai, T. (2013). The impact of internet banking service on customer satisfaction in Thailand: a
case study in Bangkok. International Journal of Humanities and Management Sciences, 1(1), 1001-105.
-
Olsen, M., Hedman, J., & Vatrapu, R. (2011). E-wallet properties. 10th International Conference on Mobile
Business (pp. 158-165). Como, Italy: IEEE.
-
Pertiwi, D., Suprapto, W., & Pratama, E. (2020). Perceived usage of e-wallet among the Y generation in
Surabaya based on technology acceptance model. Jurnal Teknik Industri, 1(22), 17-24.
-
Prawira, F. R., Prakoso, N. T., Handayani, P. W., & Harahap, N. C. (2024). The influence of information security
factors on the continuance use of electronic wallet. Procedia Computer Science, 234, 1467-1475.
-
Rahman, H. and Hidayat, R. (2019). Influencing factors in the depth-usage of social media as the business
platform by student entrepreneurs. Amar (Andalas Management Review), 3(1), 19-54.
https://doi.org/10.25077/amar.3.1.19-54.2019
-
Renaud, K., & van Biljon, J. (2008). Predicting technology acceptance and adoption by the elderly: a
qualitative study. The 2008 annual research conference of the South African Institute of Computer
Scientists and Information Technologists (pp. 210-219). Wilderness, South Africa.
-
Rogers, E. M. (1962, 1983). Diffusion of innovations. New York: Free Press.
-
Salodkar, A., Morey, K., & Shirbhate, M. (2015). Electronic wallet. International Research Journal of Engineering
and Technology, 2(9), 975-977.
-
Shetu, S. N., Islam, M. M., & Promi, S. I. (2022). An empirical investigation of the continued usage intention of
digital wallets: The moderating role of perceived technological innovativeness. Future Business Journal,
8(1), 43.
-
Singh, S., & Ghatak, S. (2021). Investigating e-wallet adoption in India: extending the TAM model.
International Journal of E-Business Research, 3(17), 42-54. doi: 10.4018/IJEBR.2021070103
-
Sipahi, B., Yurtkoru, E. S., & Çinko, M. (2010). Sosyal bilimlerde SPSS’le veri analizi. İstanbul: Beta Yayıncılık.
-
Sukendro, S., Habibi, A., Khaeruddin, K., Indrayana, B., Syahruddin, S., Makadada, F., A. & Hakim, H. (2020).
Using an extended technology acceptance model to understand students’ use of e-learning during covid-
19: indonesian sport science education context. Heliyon, 6(11), e05410.
https://doi.org/10.1016/j.heliyon.2020.e05410
-
Tombaş, H., & Çelik, A. A. (2022). Genç tüketicilerin elektronik ödeme yöntemi kullanımlarının belirleyicilerine
dair alan araştırması. Abant Sosyal Bilimler Dergisi, 22(1), 47-63.
-
Uddin, M. S., & Akhi, A. Y. (2014). E-wallet system for Bangladesh an electronic payment system. International
Journal of Modeling and Optimization, 3(4), 216-219.
-
Upadhayaya, A. (2012). Electronic commerce and e-wallet. International Journal of Recent Research and
Review, 1(1), 37-41.
-
Uysal, F. M. (2023). Dijital Cüzdan: Güvenli ve Maliyet Etkin Bir Altyapı Yaklaşımı. Orclever Proceedings of
Research and Development, 3(1), 490-501.
-
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions.
Decision Sciences, 39(2), 273-315. doi: 10.1111/j.1540-5915.2008.00192.x
-
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. doi: 10.2307/30036540
-
Warshaw, P. R., & Davis, F. (1985). Disentangling behavioral intention and behavioral expectation. Journal of
Experimental Social Psychology, 21(3), 213-228. doi: 10.1016/0022-1031(85)90017-4
-
Wibisono, N., Rafdinal, W., & Setiawati, L. (2024). Tourism in the virtual age: predicting the adoption of virtual
reality applications in tourism. International Journal of Applied Sciences in Tourism and Events, 8(1), 9-23.
https://doi.org/10.31940/ijaste.v8i1.9-23
-
Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce? an empirical evaluation of the revised
technology acceptance model. Information & Management, 42(5), 719-729. doi: 10.1016/j.im.2004.07.001
-
Zaid, M. (2024). The effect of revisiting technology acceptance model on the behavioral targeting
declaration. Journal Dimensie Management and Public Sector, 5(1), 45-61.
https://doi.org/10.48173/jdmps.v5i1.260
-
Zaineldeen, S., Li, H., Koffi, A., & Hassan, B. (2020). Technology acceptance model concepts, contribution,
limitation, and adoption in education. Universal Journal of Educational Research, 8(11), 5061-5071.
https://doi.org/10.13189/ujer.2020.081106
E-Cüzdan Kullanımını Etkileyen Faktörler: Türkiye'de Bir Araştırma
Yıl 2026,
Cilt: 15 Sayı: 1, 250 - 266, 16.01.2026
Şahsene Altınkaya
,
Ramazan Nacar
Öz
Günümüzde hızla dijitalleşen dünyada elektronik cüzdan (e-cüzdan) kavramı, geleneksel fiziksel cüzdanların yerini almaya başlamıştır. Bu teknolojik yenilik, kullanıcıların zaman ve mekân sınırlaması olmaksızın dünyanın farklı bölgelerindeki kişi ve işletmelerden ürün veya hizmet satın alabilmelerine olanak tanımaktadır. Teknolojik yeniliklerin benimsenmesini ve kullanıcılar tarafından kabul edilmesini açıklamak amacıyla bugüne kadar çeşitli teorik modeller geliştirilmiş ve sürekli olarak iyileştirilmiştir. Bu modellerin en yaygın kullanılanlarından biri Teknoloji Kabul Modeli (TAM)’dir. Bu çalışmada, e-cüzdan kullanımına ilişkin kullanıcı deneyimi, algılar ve davranışsal niyetler TAM çerçevesi temelinde incelenmiştir. Araştırmaya toplam 330 gönüllü katılımcı dâhil edilmiştir. Katılımcıların internet ortamında e-cüzdan kullanımına yönelik tutum ve deneyimlerini belirlemek amacıyla yapılandırılmış bir anket uygulanmıştır. Anket formunda algılanan fayda, algılanan kullanım kolaylığı, kullanım niyeti, sistem güvenliği, kültürel uyum, sosyal imaj ve sistem kalitesi gibi değişkenler 5’li Likert tipi ölçekle ölçülmüştür. Elde edilen veriler SPSS 23 programı aracılığıyla analiz edilmiş; bulgular betimleyici istatistikler, normallik testi, faktör ve güvenirlik analizleri ile regresyon analizleri kullanılarak raporlanmıştır.
Etik Beyan
“E-Cüzdan Kullanımını Etkileyen Faktörler: Türkiye'de Bir Araştırma” başlıklı çalışmanın yazım sürecinde bilimsel, etik ve atıf kurallarına uyulmuş; toplanan veriler üzerinde herhangi bir oynama yapılmamış ve bu çalışma değerlendirilmek üzere başka bir akademik dergiye gönderilmemiştir. Ayrıca araştırmanın yürütülebilmesi için Bursa Teknik Üniversitesi, Fen, Mühendislik ve Sosyal Bilimleri Araştırmaları Etik Kurulu’ndan izin alınmıştır (Tarih: 07/05/2021 ve Karar No: 2021-6-3).
Kaynakça
-
Ajzen, I. (1991). The Theory of planned behavior. Organizational Behavior and Human Decision Processes.
-
Al-Rahmi, A., Shamsuddin, A., Wahab, E., Al-Rahmi, W., Alismaiel, O., & Crawford, J. (2022). Social media
usage and acceptance in higher education: a structural equation model. Frontiers in Education, 7.
https://doi.org/10.3389/feduc.2022.964456
-
Altunışık, R., Coşkun, R., Bayraktaroğlu, S., & Yıldırım, E. (2017). Sosyal bilimlerde araştırma yöntemleri SPSS
uygulamalı. Sakarya: Sakarya Yayıncılık.
-
Altuntaş, C. (2011). Elektronik ticaretin muhasebeleştirilmesi ve vergilendirilmesi sorunları: bir uygulama
(Yüksek Lisans Tezi). İstanbul Üniversitesi, Sosyal Bilimler Enstitüsü, İstanbul.
-
Alwi, S., Salleh, M. N. M., Alpandi, R. M., Ya'acob, F. F., & Abdullah, S. M. M. (2021). Fintech as financial inclusion:
factors affecting behavioral intention to accept mobile e-wallet during covid-19 outbreak. Turkish Journal
of Computer and Mathematics Education (TURCOMAT), 12(7), 2130-2141. doi: 10.17762/turcomat.v12i7.3356
-
Amron, M. T., Mohamad, M. A., & Noh, N. H. M. (2024). E-Wallet Payment Usage Among Young Consumers
Using Technology Continuance Theory. Information Management and Business Review, 16(2 (I) S), 189-197.
-
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
-
Büyüköztürk, Ş. (2007). Sosyal bilimler için veri analiz el kitabı: istatistik araştırma deseni, SPSS Uygulamaları
ve Yorum. Ankara: Pegem Akademi.
-
Cahill, T. & Cummings, J. (2023). Effects of congruity on the state of user presence in virtual environments:
results from a breaching experiment. Frontiers in Virtual Reality, 4. https://doi.org/10.3389/frvir.2023.1048812
-
Chellappan, K., Elanchselvan, T., & Abu-Samah, A. (2025). E-wallet Delivery Technology Architecture
Adoption: A Review. Jurnal Kejuruteraan, 37(1), 219-232. https://doi.org/10.17576/jkukm-2025-37(1)-14
-
Cheng, H. H., & Huang, S. W. (2013). Exploring antecedents and consequence of online group-buying
intention: an extended perspective on theory of planned behavior. International Journal of Information
Management, 33(1), 185-198. doi: 10.1016/j.ijinfomgt.2012.09.003
-
Clark, B. (2001). Electronic wallets: past, present and future. Gpayments.
https://www.gpayments.com/Portals/0/pdfs/GPayments_eWallet_Whitepaper.pdf
-
Çölkesen, R., & Kipman, E. (2008). Mobil se-cüzdan mimari tasarımı ve uygulaması. X. Akademik Bilişim
Konferansı 2008 (pp. 517-522). Çanakkale: Çanakkale Onsekiz Mart Üniversitesi.
-
Daragmeh, A., Sági, J., & Zéman, Z. (2021). Continuous intention to use e-wallet in the context of the covıd-19
pandemic: integrating the Health Belief Model (HBM) and Technology Continuous Theory (TCT). Journal of
Open Innovation: Technology, Market, and Complexity, 132(7), 1-23. doi: 10.3390/joitmc7020132
-
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information
technology. MIS Quarterly, 13(3), 319-340. doi: 10.2307/249008
-
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of
two theoretical models. Management Science, 35(8), 982-1003. doi: 10.1287/mnsc.35.8.982
-
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-
year update. Journal of Management Information Systems, 19(4), 9-30. doi: 10.1080/07421222.2003.11045748
-
Erdem, H. K. (2011). Kurumsal kaynak planlama sistemlerinin kullanımında etkili olan faktörlerin genişletilmiş
teknoloji kabul modeli ile incelenmesi (Doktora Tezi). İstanbul Teknik Üniversitesi: İstanbul.
-
Evanschitzky, H., Ramaseshan, B., Woisetschläger, D. M., Richelsen, V., Blut, M., & Backhaus, C. (2012).
Consequences of customer loyalty to the loyalty program and to the company. Journal of the Academy of
Marketing Science, 40(5), 625-638. doi: 10.1007/s11747-011-0272-3
-
Faizah, S., Dina, L., Kartiko, A., Ma`arif, M., & Hasan, M. (2023). Student acceptance study of PHET simulation
with an expanded technology acceptance model approach. Journal of Applied Engineering and
Technological Science (JAETS), 5(1), 279-290. https://doi.org/10.37385/jaets.v5i1.3041
-
Fareed, T. (2023). A Systemic Review of Payment Technologies with a Special Focus on Digital Wallets.
Financial Technologies and DeFi: A Revisit to the Digital Finance Revolution, 89-97.
-
Gloria, A. M., & Robinson-Kurpius, S. E. (1996). The validation of the cultural congruity scale and the university
environment scale with chicano/a students. Hispanic Journal of Behavioral Sciences, 18(4), 533-549. doi:
10.1177/0739986396018
-
Güriş, S., & Astar, M. (2014). Bilimsel araştırmalarda SPSS ile istatistik. İstanbul: Der Yayınları.
-
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis. Essex: Pearson
Education Limited.
-
Jiang, Q., Gu, C., Yan, F., Wei, W., & Tsai, W. (2022). Study on the continuance intention in using virtual shoe-
try-on function in mobile online shopping. Kybernetes, 52(10), 4551-4575. https://doi.org/10.1108/k-12-2021-
1346
-
Juniper Research (2022), Digital Wallet Users to Exceed 5.2 Billion Globally by 2026,
https://www.juniperresearch.com/press/digital-wallet-users-exceed-5bn-globally-2026/
-
Kalaycı, Ş. (2010). SPSS uygulamalı çok değişkenli istatistik teknikleri. Ankara: Asil Yayınları.
-
Kandimalla, N. V., & Mari, V. (2020). Digital wallet payments (Doctoral Dissertation). Politecnico Milano, Italy.
-
Kavut, S. (2023). Türkiye’de dijital kimlik ve dijital gözetim üzerine bir değerlendirme. Dijital Çağda Medya,
67.
-
Kılıç, S. (2013). Doğrusal regresyon analizi. Journal of Mood Disorders, 3(2), 90-93. doi:
10.5455/jmood.20130624120840
-
Kwahk, K. Y., & Lee, J. N. (2008). The role of readiness for change in ERP implementation: theoretical bases
and empirical validation. Information and Management, 45(7), 474-481. doi: 10.1016/j.im.2008.07.002
-
Lu, J., Yao, J. E., & Yu, C. S. (2005). Personal innovativeness, social influences and adoption of wireless internet
services via mobile technology. Journal of Strategic Information Systems, 14(3), 245-268.
-
Malhotra, N. K. (2010). Marketing research: an applied orientation. New Jersey: Pearson Education Inc.
-
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an
information technology innovation. Information Systems Research, 2(3), 192-222. doi: 10.1287/isre.2.3.192
-
Nochai, R., & Nochai, T. (2013). The impact of internet banking service on customer satisfaction in Thailand: a
case study in Bangkok. International Journal of Humanities and Management Sciences, 1(1), 1001-105.
-
Olsen, M., Hedman, J., & Vatrapu, R. (2011). E-wallet properties. 10th International Conference on Mobile
Business (pp. 158-165). Como, Italy: IEEE.
-
Pertiwi, D., Suprapto, W., & Pratama, E. (2020). Perceived usage of e-wallet among the Y generation in
Surabaya based on technology acceptance model. Jurnal Teknik Industri, 1(22), 17-24.
-
Prawira, F. R., Prakoso, N. T., Handayani, P. W., & Harahap, N. C. (2024). The influence of information security
factors on the continuance use of electronic wallet. Procedia Computer Science, 234, 1467-1475.
-
Rahman, H. and Hidayat, R. (2019). Influencing factors in the depth-usage of social media as the business
platform by student entrepreneurs. Amar (Andalas Management Review), 3(1), 19-54.
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https://doi.org/10.13189/ujer.2020.081106
Factors Affecting E-Wallet Usage: A Study in Türkiye
Yıl 2026,
Cilt: 15 Sayı: 1, 250 - 266, 16.01.2026
Şahsene Altınkaya
,
Ramazan Nacar
Öz
In today’s increasingly digitalized world, the concept of the electronic wallet (e-wallet) is rapidly replacing the traditional physical wallet. This technological transformation enables consumers to conveniently purchase products and services from any person or store around the world, regardless of time and place. Over the years, many theoretical models have been developed and improved to explain the acceptance and adoption of such innovations, starting with the well-known Technology Acceptance Model (TAM). In this study, user experience and behavioral intentions related to e-wallet usage were examined based on the TAM framework. A total of 330 individuals voluntarily participated in the research. A structured questionnaire was administered to the participants to gather their opinions and experiences regarding the use of e-wallets on the internet. In the survey, items about perceived usefulness, perceived ease of use, intention to use, system security, cultural congruity, social image, and system quality were measured using a 5-point Likert-type scale. The collected data were analyzed through SPSS 23, and the results were reported using descriptive statistics, normality tests, factor analysis, reliability analysis, and regression analysis.
Etik Beyan
"During the writing process of the study titled “Factors Affecting E-Wallet Usage: A Study in Türkiye”, all scientific, ethical, and citation rules were followed. No falsification was performed on the collected data, and this study has not been submitted to any other academic venue for evaluation. Additionally, ethical approval for the research was obtained from the Bursa Technical University Ethics Committee for Research in Science, Engineering, and Social Sciences (Date: 07/05/2021, Decision No: 2021-6-3)
Kaynakça
-
Ajzen, I. (1991). The Theory of planned behavior. Organizational Behavior and Human Decision Processes.
-
Al-Rahmi, A., Shamsuddin, A., Wahab, E., Al-Rahmi, W., Alismaiel, O., & Crawford, J. (2022). Social media
usage and acceptance in higher education: a structural equation model. Frontiers in Education, 7.
https://doi.org/10.3389/feduc.2022.964456
-
Altunışık, R., Coşkun, R., Bayraktaroğlu, S., & Yıldırım, E. (2017). Sosyal bilimlerde araştırma yöntemleri SPSS
uygulamalı. Sakarya: Sakarya Yayıncılık.
-
Altuntaş, C. (2011). Elektronik ticaretin muhasebeleştirilmesi ve vergilendirilmesi sorunları: bir uygulama
(Yüksek Lisans Tezi). İstanbul Üniversitesi, Sosyal Bilimler Enstitüsü, İstanbul.
-
Alwi, S., Salleh, M. N. M., Alpandi, R. M., Ya'acob, F. F., & Abdullah, S. M. M. (2021). Fintech as financial inclusion:
factors affecting behavioral intention to accept mobile e-wallet during covid-19 outbreak. Turkish Journal
of Computer and Mathematics Education (TURCOMAT), 12(7), 2130-2141. doi: 10.17762/turcomat.v12i7.3356
-
Amron, M. T., Mohamad, M. A., & Noh, N. H. M. (2024). E-Wallet Payment Usage Among Young Consumers
Using Technology Continuance Theory. Information Management and Business Review, 16(2 (I) S), 189-197.
-
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
-
Büyüköztürk, Ş. (2007). Sosyal bilimler için veri analiz el kitabı: istatistik araştırma deseni, SPSS Uygulamaları
ve Yorum. Ankara: Pegem Akademi.
-
Cahill, T. & Cummings, J. (2023). Effects of congruity on the state of user presence in virtual environments:
results from a breaching experiment. Frontiers in Virtual Reality, 4. https://doi.org/10.3389/frvir.2023.1048812
-
Chellappan, K., Elanchselvan, T., & Abu-Samah, A. (2025). E-wallet Delivery Technology Architecture
Adoption: A Review. Jurnal Kejuruteraan, 37(1), 219-232. https://doi.org/10.17576/jkukm-2025-37(1)-14
-
Cheng, H. H., & Huang, S. W. (2013). Exploring antecedents and consequence of online group-buying
intention: an extended perspective on theory of planned behavior. International Journal of Information
Management, 33(1), 185-198. doi: 10.1016/j.ijinfomgt.2012.09.003
-
Clark, B. (2001). Electronic wallets: past, present and future. Gpayments.
https://www.gpayments.com/Portals/0/pdfs/GPayments_eWallet_Whitepaper.pdf
-
Çölkesen, R., & Kipman, E. (2008). Mobil se-cüzdan mimari tasarımı ve uygulaması. X. Akademik Bilişim
Konferansı 2008 (pp. 517-522). Çanakkale: Çanakkale Onsekiz Mart Üniversitesi.
-
Daragmeh, A., Sági, J., & Zéman, Z. (2021). Continuous intention to use e-wallet in the context of the covıd-19
pandemic: integrating the Health Belief Model (HBM) and Technology Continuous Theory (TCT). Journal of
Open Innovation: Technology, Market, and Complexity, 132(7), 1-23. doi: 10.3390/joitmc7020132
-
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information
technology. MIS Quarterly, 13(3), 319-340. doi: 10.2307/249008
-
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of
two theoretical models. Management Science, 35(8), 982-1003. doi: 10.1287/mnsc.35.8.982
-
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-
year update. Journal of Management Information Systems, 19(4), 9-30. doi: 10.1080/07421222.2003.11045748
-
Erdem, H. K. (2011). Kurumsal kaynak planlama sistemlerinin kullanımında etkili olan faktörlerin genişletilmiş
teknoloji kabul modeli ile incelenmesi (Doktora Tezi). İstanbul Teknik Üniversitesi: İstanbul.
-
Evanschitzky, H., Ramaseshan, B., Woisetschläger, D. M., Richelsen, V., Blut, M., & Backhaus, C. (2012).
Consequences of customer loyalty to the loyalty program and to the company. Journal of the Academy of
Marketing Science, 40(5), 625-638. doi: 10.1007/s11747-011-0272-3
-
Faizah, S., Dina, L., Kartiko, A., Ma`arif, M., & Hasan, M. (2023). Student acceptance study of PHET simulation
with an expanded technology acceptance model approach. Journal of Applied Engineering and
Technological Science (JAETS), 5(1), 279-290. https://doi.org/10.37385/jaets.v5i1.3041
-
Fareed, T. (2023). A Systemic Review of Payment Technologies with a Special Focus on Digital Wallets.
Financial Technologies and DeFi: A Revisit to the Digital Finance Revolution, 89-97.
-
Gloria, A. M., & Robinson-Kurpius, S. E. (1996). The validation of the cultural congruity scale and the university
environment scale with chicano/a students. Hispanic Journal of Behavioral Sciences, 18(4), 533-549. doi:
10.1177/0739986396018
-
Güriş, S., & Astar, M. (2014). Bilimsel araştırmalarda SPSS ile istatistik. İstanbul: Der Yayınları.
-
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis. Essex: Pearson
Education Limited.
-
Jiang, Q., Gu, C., Yan, F., Wei, W., & Tsai, W. (2022). Study on the continuance intention in using virtual shoe-
try-on function in mobile online shopping. Kybernetes, 52(10), 4551-4575. https://doi.org/10.1108/k-12-2021-
1346
-
Juniper Research (2022), Digital Wallet Users to Exceed 5.2 Billion Globally by 2026,
https://www.juniperresearch.com/press/digital-wallet-users-exceed-5bn-globally-2026/
-
Kalaycı, Ş. (2010). SPSS uygulamalı çok değişkenli istatistik teknikleri. Ankara: Asil Yayınları.
-
Kandimalla, N. V., & Mari, V. (2020). Digital wallet payments (Doctoral Dissertation). Politecnico Milano, Italy.
-
Kavut, S. (2023). Türkiye’de dijital kimlik ve dijital gözetim üzerine bir değerlendirme. Dijital Çağda Medya,
67.
-
Kılıç, S. (2013). Doğrusal regresyon analizi. Journal of Mood Disorders, 3(2), 90-93. doi:
10.5455/jmood.20130624120840
-
Kwahk, K. Y., & Lee, J. N. (2008). The role of readiness for change in ERP implementation: theoretical bases
and empirical validation. Information and Management, 45(7), 474-481. doi: 10.1016/j.im.2008.07.002
-
Lu, J., Yao, J. E., & Yu, C. S. (2005). Personal innovativeness, social influences and adoption of wireless internet
services via mobile technology. Journal of Strategic Information Systems, 14(3), 245-268.
-
Malhotra, N. K. (2010). Marketing research: an applied orientation. New Jersey: Pearson Education Inc.
-
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an
information technology innovation. Information Systems Research, 2(3), 192-222. doi: 10.1287/isre.2.3.192
-
Nochai, R., & Nochai, T. (2013). The impact of internet banking service on customer satisfaction in Thailand: a
case study in Bangkok. International Journal of Humanities and Management Sciences, 1(1), 1001-105.
-
Olsen, M., Hedman, J., & Vatrapu, R. (2011). E-wallet properties. 10th International Conference on Mobile
Business (pp. 158-165). Como, Italy: IEEE.
-
Pertiwi, D., Suprapto, W., & Pratama, E. (2020). Perceived usage of e-wallet among the Y generation in
Surabaya based on technology acceptance model. Jurnal Teknik Industri, 1(22), 17-24.
-
Prawira, F. R., Prakoso, N. T., Handayani, P. W., & Harahap, N. C. (2024). The influence of information security
factors on the continuance use of electronic wallet. Procedia Computer Science, 234, 1467-1475.
-
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