ISSN: 2226-6348
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This study investigates the moderating role of university education in the relationship between risk, usage, value, tradition, and image barriers and farmers' resistance to digital payment systems in Indonesia. Data were collected from 316 farmers across different regions using a survey method, and the analysis was conducted through Multigroup Analysis (MGA) in Structural Equation Modeling (SEM-PLS). The results indicate that university education significantly moderates the relationship between risk barriers and resistance, with risk barriers exerting a stronger influence among highly educated farmers. However, university education did not moderate the relationships between other barriers and resistance. These findings suggest that while higher education increases risk awareness, other forms of resistance are consistent across educational levels. The study highlights the need for tailored strategies to address risk concerns among educated farmers and simplified approaches for less-educated ones, providing valuable insights for policymakers and stakeholders in promoting digital payment adoption.
Akinyemi, B. E., and Mushunje, A. (2020) ‘Determinants of mobile money technology adoption in rural areas of Africa’, Cogent Social Sciences. Cogent, 6(1).
APEC. (2017) The Role of Digital Payments in Sustainable Agriculture and Food Security. New York.
Behera, R. K., Bala, P. K. and Rana, N. P. (2022) ‘Assessing factors influencing consumers’ non-adoption intention: exploring the dark sides of mobile payment’, Information Technology and People.
BPS. (2023) Laborer Situation in Indonesia. Jakarta.
Cham, T. H., Cheah, J. H., Cheng, B. L. and Lim, X. J. (2021) ‘I Am too old for this! Barriers contributing to the non-adoption of mobile payment’, International Journal of Bank Marketing.
Cheah, J. H., Amaro, S., and Roldán, J. L. (2023) ‘Multigroup analysis of more than two groups in PLS-SEM: A review, illustration, and recommendations’, Journal of Business Research, 156(December 2022).
Cheah, J. H., Thurasamy, R., Memon, M. A., Chuah, F. and Ting, H. (2020) ‘Multigroup analysis using smartpls: Step-by-step guidelines for business research’, Asian Journal of Business Research, 10(3), pp. I–XIX.
Eryong, X., and Xiuping, Z. (2018) ‘Education and anti-poverty: Policy theory and strategy of poverty alleviation through education in China’, Educational Philosophy and Theory. Routledge, 50(12), pp. 1101–1112.
Ghosh, M. (2022) ‘Empirical study on consumers’ reluctance to mobile payments in a developing economy’, Journal of Science and Technology Policy Management.
Hair, J. F., Risher, J. J., Sarstedt, M. and Ringle, C. M. (2019) ‘When to use and how to report the results of PLS-SEM’, European Business Review, 31(1), pp. 2–24.
Hair, J. F., Sarstedt, M., Hopkins, L. and Kuppelwieser, V. G. (2014) ‘Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research’, European Business Review, 26(2), pp. 106–121.
Hamid, M. R. A., Sami, W. and Mohmad Sidek, M. H. (2017) ‘Discriminant Validity Assessment: Use of Fornell & Larcker criterion versus HTMT Criterion’, Journal of Physics: Conference Series, 890(1).
Henseler, J. and Fassot, G. (2010) ‘Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures’, Handbook of Partial Least Squares. Springer H. Edited by V. E. Vinzi. Berlin: Springer-Verlag, pp. 713–735.
Kaur, P., Dhir, A., Ray, A., Bala, P. K. and Khalil, A. (2021) ‘Innovation resistance theory perspective on the use of food delivery applications’, Journal of Enterprise Information Management, 34(6), pp. 1746–1768.
Kaur, P., Dhir, A., Singh, N., Sahu, G. and Almotairi, M. (2020) ‘An innovation resistance theory perspective on mobile payment solutions’, Journal of Retailing and Consumer Services. Elsevier Ltd, 55(June 2019), p. 102059.
Klyton, A., Tavera-Mesías, J. F. and Castaño-Muñoz, W. (2021) ‘Innovation resistance and mobile banking in rural Colombia’, Journal of Rural Studies, 81(October), pp. 269–280.
Laukkanen, T. (2015) ‘How uncertainty avoidance affects innovation resistance in mobile banking: The moderating role of age and gender’, Proceedings of the Annual Hawaii International Conference on System Sciences, 2015-March, pp. 3601–3610.
Leong, L. Y., Hew, T. S., Ooi, K. B. and Lin, B. (2021) ‘A meta-analysis of consumer innovation resistance: is there a cultural invariance?’, Industrial Management and Data Systems, 121(8), pp. 1784–1823.
Lian, J. W., and Yen, D. C. (2013) ‘To buy or not to buy experience goods online: Perspective of innovation adoption barriers’, Computers in Human Behavior, 29(3), pp. 665–672.
Ma, L., and Lee, C. S. (2019) ‘Understanding the Barriers to the Use of MOOCs in a Developing Country: An Innovation Resistance Perspective’, Journal of Educational Computing Research, 57(3), pp. 571–590.
Migliore, G., Wagner, R., Cechella, F. S. and Liébana-Cabanillas, F. (2022) ‘Antecedents to the Adoption of Mobile Payment in China and Italy: an Integration of UTAUT2 and Innovation Resistance Theory’, Information Systems Frontiers. Springer US, 24(6), pp. 2099–2122.
Paraschiv, C. I. (2017) ‘The role of education in poverty alleviation’, in International Finance and Banking Conference, pp. 115–134.
Ram, S., and Sheth, J. N. (1989) ‘Consumer resistance to innovations: The marketing problem and its solutions’, Journal of Consumer Marketing, 6(2), p. 5.
Setyaningrum, R., Wijaya, A. R. and Subagyo, S. (2022) ‘The Characteristics of Society in Indonesian Based on the Hofstede Cultural Dimensions: Measuring the Five Indonesian Island’, International Journal of Cultural and Art Studies, 6(1), pp. 60–74.
Sivathanu, B. (2017) ‘Adoption of digital payment systems in the era of demonetization in India: An empirical study’, Journal of Science and Technology Policy Management, 10(1), pp. 143–171.
Talwar, M., Corazza, L., Bodhi, R. and Malibari, A. (2023) ‘Why do consumers resist digital innovations? An innovation resistance theory perspective’, International Journal of Emerging Markets.
Tansuhaj, P., Gentry, J. W., John, J., Lee Manzer, L. and Cho, B. J. (1991) ‘A Crossnational Examination of Innovation Resistance’, International Marketing Review, 8(3), pp. 7–20.
Weir, S., and Knight, J. (2004) ‘Externality Effects of Education: Dynamics of the Adoption and Diffusion of an Innovation in Rural Ethiopia’, Economic Development and Cultural Change. The University of Chicago Press, 53(1), pp. 93–113.
World Bank. (2022) Overview of the Indonesian Economy. Washington DC.
Zhu, Q., Lyu, Z., Long, Y. and Wachenheim, C. J. (2021) ‘Adoption of mobile banking in rural China: Impact of information dissemination channel’, Socio-Economic Planning Sciences, p. 101011.
Nurjihadi, M., Ibrahim, O., & Pasaribu, S. M. (2024). University Education and Innovation Resistance: A Multigroup Analysis of Digital Payment Barriers among Indonesian Farmers. International Journal of Academic Research in Progressive Education and Development, 13(4), 2199–2216.
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