Empirical Analysis of Switching Behavior and Technology Acceptance in Digital Top-Up Services: Evidence from Indonesian Specialty Coffee Micro-Retail

Authors

  • Adi Haryadi Department of Business Administration, Brawijaya University, Malang, Indonesia
  • Andriani Kusumati Department of Business Administration, Brawijaya University, Malang, Indonesia
  • Teuku Noerman Department of Business Administration, Brawijaya University, Malang, Indonesia
  • Wiyata Department of Business Administration, Brawijaya University, Malang, Indonesia

Keywords:

Switching Behavior, Switching Cost, Perceived Ease of Use, Perceived Usefulness, Perceived Risk, Technology Acceptance Model, Digital Banking, Micro-Retail, Specialty Coffee Shops, Indonesia.

Abstract

This research explores the factors influencing customer switching behavior in digital top-up services, with a particular focus on Indonesia’s specialty coffee micro-retail sector. A modified Technology Acceptance Model (TAM) framework is applied, incorporating variables such as switching behavior, switching cost, perceived ease of use, perceived usefulness, perceived risk, and social influence. To date, this study represents the first empirical investigation examining customer switching behavior within digital top-up services among micro coffee retailers in Indonesia. Data were obtained through an online survey of 320 respondents and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that Perceived Ease of Use (β = 0.182, p < 0.01), Perceived Usefulness (β = 0.418, p < 0.01), and Switching Cost (β = 0.342, p < 0.05) significantly and positively affect switching behavior. In contrast, Social Influence (β = 0.073, p = 0.242) and Perceived Risk (β = 0.113, p = 0.099) were found to be insignificant predictors. Overall, the model explains 71.5% of the variance in switching behavior (R² = 0.715). These results provide valuable insights for fintech providers and policymakers, emphasizing the need to design secure, user-friendly, and efficient transaction systems to enhance adoption and customer loyalty among Indonesian micro-retailers. By integrating sociological and psychological perspectives, this paper not only extends the theoretical scope of TAM but also offers practical implications for fintech developers and policymakers in promoting digital resilience and inclusivity among micro-entrepreneurs. Ultimately, virtual account top-up services serve as catalysts for behavioral change and sustainable digital transformation within niche retail communities, reinforcing the significance of consumer-centered innovation in the digital economy.

References

Alaeddin, O., Rana, A., Zainudin, Z., & Kamarudin, F. (2018). From physical to digital: Investigating consumer behavior of switching to a mobile wallet. Polish Journal of Management Studies, 17(2), 18–30. https://doi.org/10.17512/pjms.2018.17.2.02

Alyoussef, I. Y. (2023). Acceptance of e-learning in higher education: The role of task-technology fit with the information systems success model. Heliyon, 9(3), e13751. https://doi.org/10.1016/j.heliyon.2023.e13751

Arun Kumar, N., Girish, S., Suresha, B., & Mahesh, E. (2023). Switching Intention and Switching Behavior of Adults in the Non-life Insurance Sektor: The mediating role of Brand Love. Insurance Markets and Companies, 14(1), 1–7. https://doi.org/10.21511/ins.14(1).2023.01

Barquin, S., Gantes, G. de, HV, V., & Shrikhande, D. (2019). Digital banking in Indonesia: Building loyalty and generating growth. McKinsey & Company, February, 6. https://www.mckinsey.com/industries/financial-services/our-insights/digital-banking-in-indonesia-building-loyalty-and-generating-growth

Chang, H. H., Wong, K. H., & Li, S. Y. (2017). Applying push-pull-mooring to investigate channel switching behaviors: M-shopping self-efficacy and switching costs as moderators. Electronic Commerce Research and Applications, 24, 50–67. https://doi.org/10.1016/j.elerap.2017.06.002

Deng, W., Yang, T., Ju, X., & Deng, J. (2024). Linking Enterprise Information Systems Success to female employees' work-family enrichment in China. Journal of Management and Organization. https://doi.org/10.1017/jmo.2024.7

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … Wright, R. (2023). Opinion Paper: "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges, and implications of generative conversational AI for research, practice, and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642

Hampl, N. (2020). Drivers of and barriers to partner switch in interfirm alliances: a conceptual model. Journal of Business Economics, 90(4), 563–589. https://doi.org/10.1007/s11573-019-00965-y

Haryadi, A., Kusumawati, A., & Noerman, T. (2024). Switching Barriers in the Modern Era: A Systematic Exploration of the Literature. Journal of International Crisis & Risk Communication Research (JICRCR), 7(3).

Haryadi, A., Kusumawati, A., Noerman, T., & Wiyata. (2024). Digital Collaboration in the Modern Era: A Systematic Exploration of Literature. In Proceedings of ICOPAG 2024 (p. 13). EAI. https://doi.org/10.4108/eai.30-10-2024.2354742

Hong Minh, N. T., Bich Ngoc, N. T., Hong Chuyen, N. T., & Thu Huong, L. T. (2023). Factors Affecting Students’ Satisfaction in Blended Learning Courses: A Case Study in Thai Nguyen University. WSEAS Transactions on Computer Research, 11, 330–338. https://doi.org/10.37394/232018.2023.11.30

Indonesia, P. (2020). Digital Banking in Indonesia: A Revolution in the Making.

Kaur, D., & Kaur, R. (2022). Elucidating the role of gender differences via TAM in e-recruitment adoption in India: a multi-group analysis using MICOM. Bottom Line, 35(2–3), 115–136. https://doi.org/10.1108/BL-11-2021-0104

Kaur, G., Sharma, R. D., & Mahajan, N. (2014). Segmentation of bank customers by loyalty and switching intentions. Vikalpa, 39(4), 75–89. https://doi.org/10.1177/0256090920140406

Kim, E. D., Kuan, K. K. Y., Vaghasiya, M. R., Gunja, N., & Poon, S. K. (2023). A repeated cross-sectional study on the implementation of an electronic medication management system. Information Technology and Management. https://doi.org/10.1007/s10799-023-00398-8

Krishen, A. S., & Hu, H.-F. (2018). Will they pitch or will they switch? Comparing Chinese and American consumers. Psychology and Marketing, 35(3), 210–219. https://doi.org/10.1002/mar.21081

Kumar, A., & Kashyap, A. K. (2022). Understanding the Factors Influencing Repurchase Intention in Online Shopping: A Meta-analytic Review. Vision. https://doi.org/10.1177/09722629221107957

Kurniawan, A. F., Wenas, J. N., & Atmojo, R. N. P. (2023). Factors Influencing the Intention to Use Electronic Payment Among Generation Z in Jabodetabek. Lecture Notes in Electrical Engineering, 1029 LNEE, 539–549. https://doi.org/10.1007/978-3-031-29078-7_47

Ladhari, R., Ghauri, P. N., & Nakhata, R. (2019). Customer experience in retailing: A review of the literature and a future research agenda. Journal of Retailing and Consumer Services, 51, 374-383. https://doi.org/10.1016/j.jretconser.2019.06.018.

Liu, H.-C., Liu, S.-I., Tjung, J.-J., Sun, F.-J., Huang, H.-C., & Fang, C.-K. (2017). Self-harm and its association with internet addiction and internet exposure to suicidal thought in adolescents. Journal of the Formosan Medical Association, 116(3), 153–160. https://doi.org/10.1016/j.jfma.2016.03.010

Lukito, Y. N., & Xenia, A. P. (2017). Café as third place and the creation of a unique space of interaction in UI Campus. IOP Conference Series: Earth and Environmental Science, 99, 012028. https://doi.org/10.1088/1755-1315/99/1/012028

Luu, T. M. N., Nguyen, P. M., Ho, N.-N.-Y., & Phung, D. T. (2021). Antecedents of the intention to use electronic payment: Evidence from individual and household retailers in Vietnam. International Journal of Electronic Business, 16(3), 296–313. https://doi.org/10.1504/IJEB.2021.116613

Mbama, C. I., Ezepue, P., Alboul, L., & Beer, M. (2018). Digital banking, customer experience and financial performance UK bank managers ' perceptions. https://doi.org/10.1108/JRIM-01-2018-0026

Najib, M., & Fahma, F. (2020). Investigating the adoption of digital payment system through an extended technology acceptance model: An insight from the Indonesian small and medium enterprises. International Journal on Advanced Science, Engineering and Information Technology, 10(4), 1702–1708. https://doi.org/10.18517/ijaseit.10.4.11616

Nambiar, B. K., & Bolar, K. (2023). Factors influencing customer preference of cardless technology over the card for cash withdrawals: an extended technology acceptance model. Journal of Financial Services Marketing, 28(1), 58–73. https://doi.org/10.1057/s41264-022-00139-y

Nguyen, Q. N., Ta, A., & Prybutok, V. (2019). An Integrated Model of Voice-User Interface Continuance Intention: The Gender Effect. International Journal of Human-Computer Interaction, 35(15), 1362–1377. https://doi.org/10.1080/10447318.2018.1525023

Parvathy, V., & Durairaj, D. (2022). Adoption of mobile payment among visually impaired users in Tamil Nadu based on technology acceptance model (TAM). International Journal of Health Sciences, 6(May), 5346–5361. https://doi.org/10.53730/ijhs.v6ns3.7100

Peter, J. P., & Donnelly, J. H. (2015). A Preface to Marketing Management. McGraw-Hill Education.

Purwaningdyah, S. W. S., Haerunnisa, N. F., Hairunnisa, S. N., Wardhani, N. S., Larasati, C., Siahaan, Y. P., & Sinaga, O. (2021). The Influence of Perceived Usefulness, Perceived Ease of Use, Perceived Risk in the Shopee Application on Consumer Decisions in Online Shopping During the Covid-19 Pandemic. Review of International Geographical Education Online, 11(5), 1065–1072. https://doi.org/10.48047/rigeo.11.05.102

Ramezaninia, M., Panahifar, F., & Sarhangi, N. H. (2022). Significant factors affecting m-banking adoption case study: higher education institutions in Tehran. International Journal of Electronic Business, 17(1), 61–86. https://doi.org/10.1504/IJEB.2022.120014

Rust, R. T., & Zahorik, A. J. (1993). Customer satisfaction, customer retention, and market share. In Journal of Retailing (Vol. 69, Issue 2, pp. 193–215). https://doi.org/10.1016/0022-4359(93)90003-2

Sakkthivel, A. M., & Moovendhan, V. (2023). Examining the mediation effect of exogenous variables over brand switching behavior: evidence from Indian women consumers. International Journal of Business Excellence, 31(4), 500–520. https://doi.org/10.1504/IJBEX.2023.135487

Santosa, A. D., Taufik, N., Prabowo, F. H. E., & Rahmawati, M. (2021). Continuance intention of baby boomers and X generation as new users of digital payment during the COVID-19 pandemic using UTAUT2. Journal of Financial Services Marketing, 26(4), 259–273. https://doi.org/10.1057/s41264-021-00104-1

Saputra, R. B. (2021). Analisis Perkembangan Pada Faktor-Faktor Yang Mempengaruhi Pendapatan Asli Daerah (PAD) Provinsi Jawa Barat Tahun 2010-2019. Jurnal Ilmiah Mahasiswa FEB Universitas Brawijaya, 9(2), 1–15.

Sharma, A., & Khanna, P. (2020). Relevance of adopting emerging technologies in the outbound supply chain: New paradigm for cement industry. Operations and Supply Chain Management, 13(2), 210 – 221. https://doi.org/10.31387/OSCM0410263

Siti, M. (2023). Transformasi Digital Branch Dalam Upaya Peningkatan Layanan Di Era Society 5.0 Pada Bank Mandiri Jember. JEIPS: Jurnal Ekonomi Islam Dan Perbankan Syariah, 3(1).

Tajfel, H., & Turner, J. C. (1986). The social identity theory of intergroup behavior. In: Worchel, S. & Austin, W. G. (Eds.), Psychology of Intergroup Relations. Nelson-Hall.

Tang, W., Zhang, X., & Tian, Y. (2023). Investigating Lifelong Learners’ Continuing Learning Intention Moderated by Affective Support in Online Learning. Sustainability (Switzerland), 15(3). https://doi.org/10.3390/su15031901

Tanuwijaya, E., & Oktavia, T. (2023). Analysis of the Factors Influencing Customer Switching Behaviour of The Millennials in Digital Banks. Journal of System and Management Sciences, 13(2), 122–133. https://doi.org/10.33168/JSMS.2023.0209

Tesfom, G., Broekhuizen, T. L. J., & Lutz, C. H. M. (2022). Switching Intentions of Service Providers and Cultural Orientation. Journal of International Consumer Marketing, 34(4), 450–464. https://doi.org/10.1080/08961530.2021.1964408

Thaichon, P., & Weaven, S. (2019). Customer-centric sales organizations. In Handbook on Customer Centricity: Strategies for Building a Customer-Centric Organization. Edward Elgar Publishing Ltd. https://doi.org/10.4337/9781788113601.00012

van der Cruijsen, C., & Diepstraten, M. (2017). Banking Products: You Can Take Them with You, So Why Don’t You? Journal of Financial Services Research, 52(1–2), 123–154. https://doi.org/10.1007/s10693-017-0276-3

Van Rompay, T. J. L., Krooshoop, J., Verhoeven, J. W. M., & Pruyn, A. T. H. (2012). With or without you: Interactive effects of retail density and need for affiliation on shopping pleasure and spending. Journal of Business Research, 65(8), 1126–1131. https://doi.org/10.1016/j.jbusres.2011.08.005

Willy, A., & Mutis, T. (2018). The Research of Customer Switching Behavior at Some Leasing Companies. International Review of Management and Marketing, 8(1), 115–118. www.econjournals.com

Willys, N. (2018). Customer Satisfaction, Switching Costs and Customer Loyalty: An Empirical Study on the Mobile Telecommunication Service. American Journal of Industrial and Business Management, 08(04), 1022–1037. https://doi.org/10.4236/ajibm.2018.84070

Windasari, N. A., Kusumawati, N., Larasati, N., & Amelia, R. P. (2022). Digital-only banking experience: Insights from Gen Y and Gen Z. Journal of Innovation and Knowledge, 7(2), 100170. https://doi.org/10.1016/j.jik.2022.100170

Wong, K. H., Chang, H. H., & Yeh, C. H. (2019). The effects of consumption values and relational benefits on smartphone brand switching behavior. Information Technology and People, 32(1), 217–243. https://doi.org/10.1108/ITP-02-2018-0064

Xiao, K.-H. (2008). An empirical study of customer's online initial trust production model based on consumer's perception. 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008. https://doi.org/10.1109/WiCom.2008.2116

Yeo, S. F., Tan, C. L., Lim, K. B., & Wan, J. H. (2020). To buy or not to buy: Factors that influence consumers' intention to purchase groceries online. Management and Accounting Review, 19(3), 1–23. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113230975&partnerID=40&md5=32fd610dafc0df9efa542ca90ed81c86

Zhang, Y., Chen, X., Zhao, Y., & Yao, Q. (2014). Exploring the Impact of Switching Costs on Customer Retention in the Technology Standard Competition Market. Journal of Service Science and Management, 07(04), 267–276. https://doi.org/10.4236/jssm.2014.74024

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Published

2025-10-29

How to Cite

Haryadi, A., Kusumati, A., Noerman, T., & Wiyata. (2025). Empirical Analysis of Switching Behavior and Technology Acceptance in Digital Top-Up Services: Evidence from Indonesian Specialty Coffee Micro-Retail. TEC EMPRESARIAL, 20(2), 820–837. Retrieved from http://revistas.tec-ac.cr/index.php/tec_empresarial/article/view/660