Digital financial literacy and self-efficacy in increasing intention to use digital bank with the technology acceptance model theory approach

A literature review

https://doi.org/10.21744/irjmis.v11n6.2474

Authors

  • Ade Ruly Sumartini Udayana University, Denpasar, Indonesia
  • Ni Wayan Sri Suprapti Udayana University, Denpasar, Indonesia
  • Putu Saroyini Piartrini Udayana University, Denpasar, Indonesia
  • I Putu Gde Sukaatmadja Udayana University, Denpasar, Indonesia

Keywords:

digital finance literacy, intentions using, self-efficacy, TAM

Abstract

This research seeks to look at public acceptance of digital banking, which are the factors that influence the public's intentions in the use of digital banks. Research goes into the field of marketing science with a focus on the study of consumer behavior. The scope of this research is more focused on the process of acquisition to the consumption (use) of digital banks and the intention of using digital banking to carry out banking transactions. This study uses the theory of technology acceptance model approach to respond to the question. This research uses the method of literature review with the range of previous research years used from 2013 to 2022. This research provides a contribution to future research in the development of the model research of the technology acceptance model theory in the digital age.

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References

Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios. Computers in human behavior, 63, 75-90. https://doi.org/10.1016/j.chb.2016.05.014

Ajzen, I. (1991). The Theory of planned behavior. Organizational Behavior and Human Decision Processes. https://doi.org/10.1016/0749-5978(91)90020-T

Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological bulletin, 82(2), 261.

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Simintiras, A. C. (2016). Jordanian consumers’ adoption of telebanking: Influence of perceived usefulness, trust and self-efficacy. International Journal of Bank Marketing, 34(5), 690-709.

Al-Ammari, J., & Hamad, S. (2008). Factors influencing the adoption of e-learning at UOB. In 2nd International Conference and Exhibition for Zain E-learning Center (pp. 28-30).

Al-Ammary, J. H., Al-Sherooqi, A. K., & Al-Sherooqi, H. K. (2014). The acceptance of social networking as a learning tools at University of Bahrain. International Journal of Information and Education Technology, 4(2), 208.

Al-Mushasha, N. F. A. (2013). Determinants of e-learning acceptance in higher education environment based on extended technology acceptance model. In 2013 Fourth International Conference on e-Learning" Best Practices in Management, Design and Development of e-Courses: Standards of Excellence and Creativity" (pp. 261-266). IEEE.

Andreou, P. C., & Philip, D. (2018). Financial knowledge among university students and implications for personal debt and fraudulent investments. Cyprus Economic Policy Review, 12(2), 3-23.

Andreou, P.C., Anyfantaki, S. 2021. Financial Literacy and Its Influence on Internet Banking Behavior. European Management Journal, 39 (2), 658- 674

Anwar, M. N. (2009). Note For Editor: Self-Efficacy Of Formally and Non-Formally Trained Public Sector Teachers. Turkish Online Journal of Distance Education, 10(3), 9-22.

Arenas Gaitán, J., Peral Peral, B., & Ramón Jerónimo, M. (2015). Elderly and internet banking: An application of UTAUT2. Journal of Internet Banking and Commerce, 20 (1), 1-23.

Baber, A., Thurasamy, R., Malik, M. I., Sadiq, B., Islam, S., & Sajjad, M. (2016). Online word-of-mouth antecedents, attitude and intention-to-purchase electronic products in Pakistan. Telematics and Informatics, 33(2), 388-400. https://doi.org/10.1016/j.tele.2015.09.004

Balloch, A., Nicolae, A., & Philip, D. (2015). Stock market literacy, trust, and participation. Review of Finance, 19(5), 1925-1963.

Bandura, A. (1982). Self-efficacy mechanism in human agency. American psychologist, 37(2), 122.

Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational behavior and human decision processes, 50(2), 248-287. https://doi.org/10.1016/0749-5978(91)90022-L

Bandura, A. (2006). Guide for constructing self-efficacy scales. Self-efficacy beliefs of adolescents, 5(1), 307-337.

Bandura, A., & Cervone, D. (1986). Differential engagement of self-reactive influences in cognitive motivation. Organizational behavior and human decision processes, 38(1), 92-113. https://doi.org/10.1016/0749-5978(86)90028-2

Bashir, I., & Madhavaiah, C. (2015). Consumer attitude and behavioural intention towards Internet banking adoption in India. Journal of Indian Business Research, 7(1), 67-102.

Bawden, D. (2001). Information and digital literacies: a review of concepts. Journal of documentation, 57(2), 218-259.

Belshaw, D. (2012). What is' digital literacy'? A Pragmatic investigation (Doctoral dissertation, Durham University).

Bhatiasevi, V. (2011). Acceptance of e-learning for users in higher education: An extension of the technology acceptance model. Social Sciences, 6(6), 513-520.

Bhatt, V. (2021). An empirical study on analyzing a user’s intention towards using mobile wallets; measuring the mediating effect of perceived attitude and perceived trust. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(10), 5332-5353.

Brown, S. A., Venkatesh, V., & Bala, H. (2006). Household technology use: Integrating household life cycle and the model of adoption of technology in households. The Information Society, 22(4), 205-218.

Brown, T. L., Potoski, M., & Van Slyke, D. M. (2006). Managing public service contracts: Aligning values, institutions, and markets. Public administration review, 66(3), 323-331.

Campbell, J. Y., Jackson, H. E., Madrian, B. C., & Tufano, P. (2011). Consumer financial protection. Journal of Economic Perspectives, 25(1), 91-114.

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

Chin, W. W., & Marcolin, B. L. (2001). The future of diffusion research. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 32(3), 7-12.

Chow, M., Herold, D. K., Choo, T. M., & Chan, K. (2012). Extending the technology acceptance model to explore the intention to use Second Life for enhancing healthcare education. Computers & education, 59(4), 1136-1144. https://doi.org/10.1016/j.compedu.2012.05.011

Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS quarterly, 189-211.

Cruz, D., Narciso, I., Pereira, C., & Sampaio, D. (2015). Self‐Destructive Symptomatic Frames in Clinical Adolescents: Is the Same Different?. Journal of research on adolescence, 25(3), 524-533.

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

Davis, F. D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: three experiments. International journal of human-computer studies, 45(1), 19-45. https://doi.org/10.1006/ijhc.1996.0040

Davis, G. F. (2015). Editorial essay: What is organizational research for?. Administrative Science Quarterly, 60(2), 179-188.

Davis, Gordon B. 2016. Kerangka Dasar Sistem Informasi Manajemen. Palembang: Maxikom

Davis, Gordon B. 2016. Kerangka Dasar: Sistem Informasi Manajemen, Bagian I Pengantar. Seri Manajemen No. 90-A. Cetakan Kedua Belas, Jakarta: PT. Pustaka Binawan Pressindo.

Davis, S. J. (2016). An index of global economic policy uncertainty (No. w22740). National Bureau of Economic Research.

de Bassa Scheresberg, C. (2013). Financial literacy and financial behavior among young adults: Evidence and implications. Numeracy, 6(2), 5.

Douglas, A. J. (2011). Belshaw" What is ‘digital literacy'?".

Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.

Fu, J., Sun, J., Lu, S., & Zhang, Y. (2015). Maneuvering target tracking with modified unbiased FIR filter. 北京航空航天大学学报, 41(1), 77-82.

Georgina, D. A., & Olson, M. R. (2008). Integration of technology in higher education: A review of faculty self-perceptions. The Internet and Higher Education, 11(1), 1-8. https://doi.org/10.1016/j.iheduc.2007.11.002

Gilster, P. (1997). Digital literacy. Seoul Heanaem.

Hair Jr, J., Hult, F., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM)(ed.) Sage Publications, Thousand Oaks.

Hanif, Y., & Lallie, H. S. (2021). Security factors on the intention to use mobile banking applications in the UK older generation (55+). A mixed-method study using modified UTAUT and MTAM-with perceived cyber security, risk, and trust. Technology in Society, 67, 101693. https://doi.org/10.1016/j.techsoc.2021.101693

Hasbullah, N. A., Osman, A., Abdullah, S., Salahuddin, S. N., Ramlee, N. F., & Soha, H. M. (2016). The relationship of attitude, subjective norm and website usability on consumer intention to purchase online: An evidence of Malaysian youth. Procedia Economics and Finance, 35, 493-502. https://doi.org/10.1016/S2212-5671(16)00061-7

Hayei, A. A., & Khalid, H. (2019). Inculcating financial literacy among young adults through trust and experience. International Journal of Accounting, Finance and Business, 4(18).

Helsper, E. J., & Eynon, R. (2013). Distinct skill pathways to digital engagement. European Journal of Communication, 28(6), 696-713.

Hong, W., Thong, J. Y., Wong, W. M., & Tam, K. Y. (2002). Determinants of user acceptance of digital libraries: an empirical examination of individual differences and system characteristics. Journal of management information systems, 18(3), 97-124.

Huffman, A. H., Whetten, J., & Huffman, W. H. (2013). Using technology in higher education: The influence of gender roles on technology self-efficacy. Computers in Human Behavior, 29(4), 1779-1786. https://doi.org/10.1016/j.chb.2013.02.012

Hussein, R., Aditiawarman, U., & Mohamed, N. (2007). E-learning acceptance in a developing country: a case of the Indonesian Open University. In German e-Science conference.

Ionescu, R. Y Radulescu, I. 2019. Behavioral Finance and the Fast Evolving World of Fintech. Economic Insights – Trends and Challenges.7 (21), 4-18

Jusoh, Z. M., & Jing, T. Y. (2019). Perceived security, subjective norm, self-efficacy, intention, and actual usage towards e-payment among UPM students. Journal of Education and Social Sciences, 12(2), 8-22.

Karahanna, E., & Straub, D. W. (1999). The psychological origins of perceived usefulness and ease-of-use. Information & management, 35(4), 237-250. https://doi.org/10.1016/S0378-7206(98)00096-2

Kim, K. K., Shin, H. K., & Kim, B. (2011). The role of psychological traits and social factors in using new mobile communication services. Electronic Commerce Research and Applications, 10(4), 408-417. https://doi.org/10.1016/j.elerap.2010.11.004

Knutsson, O., Blåsjö, M., Hållsten, S., & Karlström, P. (2012). Identifying different registers of digital literacy in virtual learning environments. The Internet and higher education, 15(4), 237-246. https://doi.org/10.1016/j.iheduc.2011.11.002

Lee, T., Lee, B. K., & Lee-Geiller, S. (2020). The effects of information literacy on trust in government websites: Evidence from an online experiment. International Journal of Information Management, 52, 102098. https://doi.org/10.1016/j.ijinfomgt.2020.102098

Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & management, 40(3), 191-204. https://doi.org/10.1016/S0378-7206(01)00143-4

Letchumanan, M., & Muniandy, B. (2013). Migrating to e‐book: a study on perceived usefulness and ease of use. Library Hi Tech News, 30(7), 10-16.

Lusardi, A., & Mitchell, O. S. (2014). The economic importance of financial literacy: Theory and evidence. American Economic Journal: Journal of Economic Literature, 52(1), 5-44.

Lyons, A. C., & Kass-Hanna, J. (2020). A human development approach to measuring and improving the digital livelihoods of vulnerable populations. T20 Policy Brief.

Lyons, A. C., & Kass‐Hanna, J. (2021). A methodological overview to defining and measuring “digital” financial literacy. Financial Planning Review, 4(2), e1113.

Lyons, A., Kass-Hanna, J., Zucchetti, A., & Cobo, C. (2019). Leaving no one behind: Measuring the multidimensionality of digital literacy in the age of AI and other transformative technologies.

Monisa, L. (2012). The Effect of Good Corporate Governance Practices on the Financial Performance of Companies on the Indonesia Stock Exchange. Journal of Management, 1(1), 1.

Montazemi, A. R., & Qahri-Saremi, H. (2015). Factors affecting adoption of online banking: A meta-analytic structural equation modeling study. Information & management, 52(2), 210-226. https://doi.org/10.1016/j.im.2014.11.002

Morris, M. G., & Venkatesh, V. (2010). Job characteristics and job satisfaction: Understanding the role of enterprise resource planning system implementation. MIS quarterly, 143-161.

Mun, Y. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International journal of human-computer studies, 59(4), 431-449. https://doi.org/10.1016/S1071-5819(03)00114-9

Narotama, I. B. I., & Sintaasih, D. K. (2022). The role of job satisfaction in mediation the effect of self-efficacy and job insecurity on turnover intention. International Research Journal of Management, IT and Social Sciences, 9(4), 494–513. https://doi.org/10.21744/irjmis.v9n4.2108

Ng, W. (2012). Can we teach digital natives digital literacy?. Computers & education, 59(3), 1065-1078. https://doi.org/10.1016/j.compedu.2012.04.016

Noor, M., Fourqoniah, F., & Aransyah, M. F. (2020). The Investigation of financial inclusions, financial literation, and financial technology in Indonesia. Jurnal Perspektif Pembiayaan Dan Pembangunan Daerah, 8(3), 257-268.

Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in human behavior, 61, 404-414. https://doi.org/10.1016/j.chb.2016.03.030

Otoritas Jasa Keuangan. 2016. POJK Literasi Keuangan Dan Inklusi Keuangan No 76/Pojk.07.

Ozturk, A. (2016). Examining the economic growth and the middle-income trap from the perspective of the middle class. International Business Review, 25(3), 726-738. https://doi.org/10.1016/j.ibusrev.2015.03.008

Park, E. J., Kim, E. Y., Funches, V. M., & Foxx, W. (2012). Apparel product attributes, web browsing, and e-impulse buying on shopping websites. Journal of business research, 65(11), 1583-1589. https://doi.org/10.1016/j.jbusres.2011.02.043

Park, S. Y. 2009. An analysis of the technology acceptance model in understanding University Students’ behavioral intention to USE e-Learning. Educational Technology and Society, 12(3), 150-162.

Potrich, A. C. G., Vieira, K. M., & Mendes-Da-Silva, W. (2016). Development of a financial literacy model for university students. Management Research Review, 39(3), 356-376.

Prete, A. L. (2022). Digital and financial literacy as determinants of digital payments and personal finance. Economics Letters, 213, 110378. https://doi.org/10.1016/j.econlet.2022.110378

Prior, D. D., Mazanov, J., Meacheam, D., Heaslip, G., & Hanson, J. (2016). Attitude, digital literacy and self efficacy: Flow-on effects for online learning behavior. The Internet and Higher Education, 29, 91-97. https://doi.org/10.1016/j.iheduc.2016.01.001

Rahi, S., Ghani, M., Alnaser, F., & Ngah, A. (2018). Investigating the role of unified theory of acceptance and use of technology (UTAUT) in internet banking adoption context. Management Science Letters, 8(3), 173-186.

Rahmatsyah, R. (2018). Risk Of The Use Of Foreign Worker. The 4th International and Call for Paper, 1(1).

Rhema, A., & Miliszewska, I. (2014). Analysis of student attitudes towards e-learning: The case of engineering students in Libya. Issues in informing science and information Technology, 11, 169-190.

Schultz, T. P. (1994). Human capital, family planning, and their effects on population growth. The American Economic Review, 84(2), 255-260.

Setiawati, S., & Nurkhin, A. (2017). Pengujian dimensi konstruk literasi keuangan mahasiswa. Economic Education Analysis Journal, 6(3), 727-736.

Sharma, R., Singh, G., & Sharma, S. (2020). Modelling internet banking adoption in Fiji: A developing country perspective. International Journal of Information Management, 53, 102116. https://doi.org/10.1016/j.ijinfomgt.2020.102116

Shen, J., & Eder, L. B. (2009). Exploring intentions to use virtual worlds for business. Journal of electronic commerce research, 10(2).

Shen, Y., Hu, W., & Hueng, C. J. (2018). The effects of financial literacy, digital financial product usage and internet usage on financial inclusion in China. In MATEC Web of Conferences (Vol. 228, p. 05012). EDP Sciences.

Sumartini, N. P. (2024). Does contract farming participation promote household’s food security for smallholders? Empirical evidence from Indonesia. Jurnal Ekonomi & Studi Pembangunan, 25(1), 110-129.

Thompson II, T. (2010). Assessing the determinants of information technology adoption in Jamaica's public sector using the technology acceptance model. Northcentral University.

Upadhyay, A. K., & Khandelwal, K. (2018). Applying artificial intelligence: implications for recruitment. Strategic HR Review, 17(5), 255-258.

Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information systems research, 11(4), 342-365.

Venkatesh, V., & Brown, S. A. (2001). A longitudinal investigation of personal computers in homes: Adoption determinants and emerging challenges. MIS quarterly, 71-102.

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

Venkatesh, V., & Morris, M. G. (2000). Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS quarterly, 115-139.

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

Wang, E. S. T., & Chou, N. P. Y. (2014). Consumer characteristics, social influence, and system factors on online group-buying repurchasing intention. Journal of Electronic Commerce Research, 15(2), 119-132.

Widiyanto, C. (2012). A community revitalization movement in the wave of market economy in agriculture A field study in Daleman, Java, Indonesia. Journal of Group Dynamics, 29, 3-25.

Wojciechowski, R., & Cellary, W. (2013). Evaluation of learners’ attitude toward learning in ARIES augmented reality environments. Computers & education, 68, 570-585. https://doi.org/10.1016/j.compedu.2013.02.014

Xu, L., Prybutok, V., & Blankson, C. (2019). An environmental awareness purchasing intention model. Industrial Management & Data Systems, 119(2), 367-381.

Yeow, A., Soh, C., & Hansen, R. (2018). Aligning with new digital strategy: A dynamic capabilities approach. The Journal of Strategic Information Systems, 27(1), 43-58. https://doi.org/10.1016/j.jsis.2017.09.001

Published

2024-11-24

How to Cite

Sumartini, A. R., Suprapti, N. W. S., Piartrini, P. S., & Sukaatmadja, I. P. G. (2024). Digital financial literacy and self-efficacy in increasing intention to use digital bank with the technology acceptance model theory approach: A literature review. International Research Journal of Management, IT and Social Sciences, 11(6), 252–263. https://doi.org/10.21744/irjmis.v11n6.2474

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