Impacts Of Digital Technostress And Digital Technology Self-Efficacy On Intentions To Use Fintech In Indonesia

Authors

  • Santi Putriani Universitas Gadjah Mada
  • Rika Apriani

DOI:

https://doi.org/10.22219/jrak.v12i1.20801

Keywords:

FinTech, Indonesia, Self-efficacy, Sustainability, Technostress

Abstract

The purpose of this study is to see how digital technostress and digital technology self-efficacy (DTSE) affect Generation Z consumers' willingness to adopt FinTech in Indonesia. This study provides knowledge about the impact of technostress and the role of self-efficacy as a moderator on intention to use FinTech. This study uses a questionnaire survey with the criteria of respondents who have used FinTech and Generation Z (born 1993-2012) in Indonesia. A total of 122 respondents were analyzed by Structural Equation Modeling (SEM). The results of the study show that complexity and overload reduce the use of FinTech. In addition, DTSE increases their intention to use FinTech and can reduce the impact of technostress on intention to use FinTech. The results of the research are expected to be input for innovators and policymakers to make FinTech applications easier to use so that consumers will continue to use FinTech to support sustainable development.

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References

Abdillah, L. A. (2020). FinTech E-Commerce Payment Application User Experience Analysis during COVID-19 Pandemic. 7(2), 265–278. https://doi.org/10.15294/sji.v7i2.26056

Al Hammadi, T., & Nobanee, H. (2019). FinTech and Sustainability: A Mini-Review. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3500873

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P. P., & Williams, M. D. (2016). Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy. Journal of Enterprise Information Management, 29(1), 118–139. https://doi.org/10.1108/JEIM-04-2015-0035

Anshari, M., Almunawar, M. N., Masri, M., & Hamdan, M. (2019). Digital marketplace and FinTech to support agriculture sustainability. Energy Procedia, 156(2018), 234–238. https://doi.org/10.1016/j.egypro.2018.11.134

Anwar, M. (2020). The Impoliteness of Indonesian Language on Instagram Potentially toward Conflict of Ethnic, Religion, Race and Inter-group. Icri 2018, 2134–2141. https://doi.org/10.5220/0009940021342141

Arner, D. W., Buckley, R. P., Zetzsche, D. A., & Veidt, R. (2020). Sustainability, FinTech and Financial Inclusion. European Business Organization Law Review, 21(1), 7–35. https://doi.org/10.1007/s40804-020-00183-y

Atanasoff, L., & Venable, M. A. (2017). Technostress: Implications for Adults in the Workforce. Career Development Quarterly, 65(4), 326–338. https://doi.org/10.1002/cdq.12111

Bandura, A. (1978). Reflections on self-efficacy. Advances in Behaviour Research and Therapy, 1(4), 237–269. https://doi.org/10.1016/0146-6402(78)90012-7

Bassiouni, D. H., & Hackley, C. (2014). x2 ‘Generation Z’ children’s adaptation to digital consumer culture: A critical literature review. Journal of Customer Behaviour, 9(1), 37–53.

Bitner, M. J., Ostrom, A. L., & Meuter, M. L. (2002). Implementing successful self-service technologies. Academy of Management Executive, 16(4), 96–109. https://doi.org/10.5465/ame.2002.8951333

Brivio, E., Gaudioso, F., Vergine, I., Mirizzi, C. R., Reina, C., Stellari, A., & Galimberti, C. (2018). Preventing technostress through positive technology. Frontiers in Psychology, 9(DEC). https://doi.org/10.3389/fpsyg.2018.02569

C.C, S., & Prathap, S. K. (2020). Continuance adoption of mobile-based payments in Covid-19 context: an integrated framework of health belief model and expectation confirmation model. International Journal of Pervasive Computing and Communications, 16(4), 351–369. https://doi.org/10.1108/IJPCC-06-2020-0069

Cilliers, E. J. (2017). the Challenge of Teaching Generation Z. PEOPLE: International Journal of Social Sciences, 3(1), 188–198. https://doi.org/10.20319/pijss.2017.31.188198

Cohen, J. (1992). A Power Primer. Psychological Bulletin, 112(1). https://doi.org/10.1016/j.jorganchem.2011.01.025

Dapas, C. C., Sitorus, T., Purwanto, E., & Ihalauw, J. J. O. I. (2019). The effect of service quality and website quality of zalora.Com on purchase decision as mediated by purchase intention. Quality - Access to Success, 20(169), 87–92.

Daragmeh, A., Sági, J., & Zéman, Z. (2021). Continuous intention to use e-wallet in the context of the covid-19 pandemic: Integrating the health belief model (hbm) and technology continuous theory (tct). Journal of Open Innovation: Technology, Market, and Complexity, 7(2). https://doi.org/10.3390/joitmc7020132

Deng, X., Huang, Z., & Cheng, X. (2019). FinTech and sustainable development: Evidence from China based on P2P data. Sustainability (Switzerland), 11(22). https://doi.org/10.3390/su11226434

Diana, N., & Leon, F. M. (2020). Factors Affecting Continuance Intention of FinTech Payment among Millennials in Jakarta. European Journal of Business and Management Research, 5(4). https://doi.org/10.24018/ejbmr.2020.5.4.444

Fiedler, B. A. (2018). Translating national policy to improve environmental conditions impacting public health through community planning. Translating National Policy to Improve Environmental Conditions Impacting Public Health Through Community Planning, 84(2), 1–312. https://doi.org/10.1007/978-3-319-75361-4

Filho, M. I., & Rabaai, A. (2016). ( Bellini , Isoni Filho , De Moura Jr , anxiety , compulsory tasks & digital effecti ... limitations.

Foroughi, B., Iranmanesh, M., & Hyun, S. S. (2019). Understanding the determinants of mobile banking continuance usage intention. Journal of Enterprise Information Management, 32(6), 1015–1033. https://doi.org/10.1108/JEIM-10-2018-0237

Francis, T., & Hoefel, F. (2018). ‘True Gen’: Generation Z and its implications for companies. McKinsey & Company, 10. https://www.mckinsey.com/~/media/McKinsey/Industries/Consumer Packaged Goods/Our Insights/True Gen Generation Z and its implications for companies/Generation-Z-and-its-implication-for-companies.ashx

Franque, F. B., Oliveira, T., & Tam, C. (2021). Understanding the factors of mobile payment continuance intention: empirical test in an African context. Heliyon, 7(8), e07807. https://doi.org/10.1016/j.heliyon.2021.e07807

Gerbino, M. (2020). Self‐efficacy. The Wiley Encyclopedia of Personality and Individual Differences, 1994, 387–391. https://doi.org/10.1002/9781119547174.ch243

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Second Edition. In California: Sage.

Hiyanti, H., Nugroho, L., Sukmadilaga, C., & Fitrijanti, T. (2020). Sharia fintech (financial technology) opportunities and challenges in Indonesia. Jurnal Ilmiah Ekonomi Islam, 5(3), 326–333.

Huang, S. Y. B., Lee, C. J., & Lee, S. C. (2021). Toward a Unified Theory of Customer Continuance Model for Financial Technology Chatbots. Sensors (Basel, Switzerland), 21(17), 1–10. https://doi.org/10.3390/s21175687

Hung, W. H., Chang, L. M., & Lin, C. H. (2011). Managing the risk of overusing mobile phones in the working environment: A study of ubiquitous technostress. PACIS 2011 - 15th Pacific Asia Conference on Information Systems: Quality Research in Pacific.

Jung, L. (2017). A study on the relationship with attitude and satisfaction of the continuance intention in Fintech. Information (Japan), 20(8), 5817–5824.

Jusuf, M. B., Utami, N. P., Hidayanto, A. N., & Shihab, M. R. (2018). Analysis of intrinsic factors of mobile banking application users’ continuance intention: An evaluation using an extended Expectation Confirmation Model. Proceedings of the 2nd International Conference on Informatics and Computing, ICIC 2017, 2018-Janua, 1–6. https://doi.org/10.1109/IAC.2017.8280589

Kim, D. G., & Lee, C. W. (2021). Exploring the roles of self-efficacy and technical support in the relationship between techno-stress and counter-productivity. Sustainability (Switzerland), 13(8). https://doi.org/10.3390/su13084349

Kim, S., Jang, S., Choi, W., Youn, C., & Lee, Y. (2021). Contactless service encounters among Millennials and Generation Z: the effects of Millennials and Gen Z characteristics on technology self-efficacy and preference for contactless service. Journal of Research in Interactive Marketing, 82–100. https://doi.org/10.1108/JRIM-01-2021-0020

Koo, C., & Wati, Y. (2011). What factors do really influence the level of technostress in organizations? (An empirical study). Information, 14(11), 3647–3654.

Lee, Y. K. (2021). Impacts of digital technostress and digital technology self-efficacy on fintech usage intention of Chinese gen Z consumers. Sustainability (Switzerland), 13(9). https://doi.org/10.3390/su13095077

Lim, M. S., & Choi, S. B. (2017). Stress caused by social media network applications and user responses. Multimedia Tools and Applications, 76(17), 17685–17698. https://doi.org/10.1007/s11042-015-2891-z

Maduku, D. K. (2016). Fostering M-banking Continuance Intention: The Role of Trust in Banks, Self-efficacy, and Mobile Network Quality. Human Capital Management, Organisational Behaviour and Leadership, 186–196. https://www.researchgate.net/publication/311582707

Marchiori, D. M., Mainardes, E. W., & Rodrigues, R. G. (2019). Do Individual Characteristics Influence the Types of Technostress Reported by Workers? International Journal of Human-Computer Interaction, 35(3), 218–230. https://doi.org/10.1080/10447318.2018.1449713

Meiling, L., Yahya, F., Waqas, M., Shaohua, Z., Ali, S. A., & Hania, A. (2021). Boosting Sustainability in Healthcare Sector through Fintech: Analyzing the Moderating Role of Financial and ICT Development. Inquiry (United States), 58. https://doi.org/10.1177/00469580211028174

Mention, A. L. (2019). The Future of Fintech. Research Technology Management, 62(4), 59–63. https://doi.org/10.1080/08956308.2019.1613123

Moro-Visconti, R., Rambaud, S. C., & Pascual, J. L. (2020). Sustainability in FinTechs: An explanation through business model scalability and market valuation. Sustainability (Switzerland), 12(24), 1–24. https://doi.org/10.3390/su122410316

Nimrod, G. (2018). Technostress: measuring a new threat to well-being in later life. Aging and Mental Health, 22(8), 1080–1087. https://doi.org/10.1080/13607863.2017.1334037

Odoom, R., & Kosiba, J. P. (2020). Mobile money usage and continuance intention among micro enterprises in an emerging market – the mediating role of agent credibility. Journal of Systems and Information Technology, 22(4), 97–117. https://doi.org/10.1108/JSIT-03-2019-0062

Oktavendi, T. W. (2020). Islamic Financial Technology Usage: An Investing Perspectives On Generation Z. Riset Akuntansi Dan Keuangan Indonesia, 5(2), 151–158. https://doi.org/10.23917/reaksi.v5i2.10100

Ozkan, M., & Solmaz, B. (2015). The Changing Face of the Employees – Generation Z and Their Perceptions of Work (A Study Applied to University Students). Procedia Economics and Finance, 26(15), 476–483. https://doi.org/10.1016/s2212-5671(15)00876-x

Park, H. J., & Cho, J. S. (2016). The influence of information security technostress on the job satisfaction of employees. Journal of Business and Retail Management Research, 11(1), 66–75.

Pollari, I. (2020). The Rise of Fintech - Foreword. SSRN Electronic Journal, 3, 15–22. https://doi.org/10.2139/ssrn.3565549

Qi, C. (2019). A double-edged sword? Exploring the impact of students’ academic usage of mobile devices on technostress and academic performance. Behaviour and Information Technology, 38(12), 1337–1354. https://doi.org/10.1080/0144929X.2019.1585476

Rabaa’i, A. A., & ALMaati, S. A. (2021). Exploring the Determinants of Users’ Continuance Intention to Use Mobile Banking Services in Kuwait: Extending the Expectation-Confirmation Model. Asia Pacific Journal of Information Systems, 31(2), 141–184. https://doi.org/10.14329/apjis.2021.31.2.141

Rabaai, A. (2021). An Investigation into the Acceptance of Mobile Wallets in the FinTech Era: An Empirical Study from Kuwait. International Journal of Business Information Systems, 1(1), 1. https://doi.org/10.1504/ijbis.2021.10038422

Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and validation. Information Systems Research, 19(4), 417–433. https://doi.org/10.1287/isre.1070.0165

Riedl, R., Kindermann, H., Auinger, A., & Javor, A. (2012). Technostress from a neurobiological perspective: System breakdown increases the stress hormone cortisol in computer users. Business and Information Systems Engineering, 4(2), 61–69. https://doi.org/10.1007/s12599-012-0207-7

Ryu, H. S. (2018). What makes users willing or hesitant to use Fintech?: the moderating effect of user type. Industrial Management and Data Systems, 118(3), 541–569. https://doi.org/10.1108/IMDS-07-2017-0325

Schwieger, D., & Ladwig, C. (2018). Reaching and Retaining the Next Generation: Adapting to the Expectations of Gen Z in the Classroom. Information Systems Education Journal, 16(3), 45–54.

Sethi, V., King, R. C., & Quick, J. C. (2004). What causes stress in information system professionals? Communications of the ACM, 47(3), 99–102. https://doi.org/10.1145/971617.971623

Setiawan, A., Nailul Muna, A., Arumi, E. R., & Sukmasetya, P. (2020). The Growth Electronic Commerce Technology and User Interface in Indonesia. May.

Setti, S., & Wanto, A. (2019). Analysis of Backpropagation Algorithm in Predicting the Most Number of Internet Users in the World. Jurnal Online Informatika, 3(2), 110. https://doi.org/10.15575/join.v3i2.205

Shiau, W. L., Yuan, Y., Pu, X., Ray, S., & Chen, C. C. (2020). Understanding fintech continuance: perspectives from self-efficacy and ECT-IS theories. Industrial Management and Data Systems, 120(9), 1659–1689. https://doi.org/10.1108/IMDS-02-2020-0069

Shin, Y. J., & Choi, Y. (2019). Feasibility of the fintech industry as an innovation platform for sustainable economic growth in Korea. Sustainability (Switzerland), 11(19). https://doi.org/10.3390/su11195351

Sladek, S., & Grabinger, A. (2016). The first generation of the 21st Century has arrived! XYZ University, 16. www.xyzuniversity.com

Susanto, A., Chang, Y., & Ha, Y. (2016). Industrial Management & Data Systems Article information :Determinants of continuance intention to use the smartphone banking services An extension to the expectation-confirmation model. Industrial Management & Data Systems, 116(3), 508–525.

Tarafdar, M., Pullins, E. B., & Ragu-Nathan, T. S. (2014). Examining impacts of technostress on the professional salesperson’s behavioural performance. Journal of Personal Selling and Sales Management, 34(1), 51–69. https://doi.org/10.1080/08853134.2013.870184

Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007). The impact of technostress on role stress and productivity. Journal of Management Information Systems, 24(1), 301–328. https://doi.org/10.2753/MIS0742-1222240109

Tasrifan, T. (2018). Implementation of e-commerce as a positive impact by technological innovation. 2018(2001), 307–309. https://doi.org/10.29210/2018145

Turner, A. (2015). Generation Z: Technology and Social Interest. The Journal of Individual Psychology, 71(2), 103–113. https://doi.org/10.1353/jip.2015.0021

Turner, A. (2018). Generation Z : Technology and Social Interest. The Journal of Individual Psychology, 71(2), 103–113.

Varasteh, H., Marzuki, A., & Rasoolimanesh, S. M. (2015). Factors affecting international students’ travel behavior. Journal of Vacation Marketing, 21(2), 131–149. https://doi.org/10.1177/1356766714562823

Vergara, C. C., & Agudo, L. F. (2021). Fintech and sustainability: Do they affect each other? Sustainability (Switzerland), 13(13). https://doi.org/10.3390/su13137012

Wang, K., Shu, Q., & Tu, Q. (2008). Technostress under different organizational environments: An empirical investigation. Computers in Human Behavior, 24(6), 3002–3013. https://doi.org/10.1016/j.chb.2008.05.007

Wang, Z., GUAN, Z., Hou, F., Li, B., & Zhou, W. (2019). What determines customers’ continuance intention of FinTech? Evidence from YuEbao. Industrial Management and Data Systems, 119(8), 1625–1637. https://doi.org/10.1108/IMDS-01-2019-0011

Weinswig, D. (2016). Gen Z: Get Ready for the Most Self-Conscious, Demanding Consumer Segment. Fung Global Retail Tech, 1–19. https://www.fbicgroup.com/sites/default/files/Gen Z Report 2016 by Fung Global Retail Tech August 29, 2016.pdf

Wu, R., Ishfaq, K., Hussain, S., Asmi, F., Siddiquei, A. N., & Anwar, M. A. (2022). Investigating e-Retailers’ Intentions to Adopt Cryptocurrency Considering the Mediation of Technostress and Technology Involvement. Sustainability (Switzerland), 14(2). https://doi.org/10.3390/su14020641

Yener, S., Arslan, A., & Kilinç, S. (2021). The moderating roles of technological self-efficacy and time management in the technostress and employee performance relationship through burnout. Information Technology and People, 34(7), 1890–1919. https://doi.org/10.1108/ITP-09-2019-0462

Zhang, S., Zhao, L., Lu, Y., & Yang, J. (2015). Get tired of socializing as social animal? An empirical explanation on discontinuous usage behavior in social network services. Pacific Asia Conference on Information Systems, PACIS 2015 - Proceedings.

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Published

2022-04-20