UNDERSTANDING STUDENTS’ RETENTION TO USE DIGITAL FOOD BANKS: AN EXTENDED UTAUT2
DOI:
https://doi.org/10.35631/AIJBES.827026Keywords:
Digital Food Bank, Intention to Use, UTAUT2, Performance Expectancy, Social InfluenceAbstract
The growing use of digital platforms in charitable food aid has led to the emergence of digital food banks, yet existing research shows limitations in technology acceptance models when explaining their adoption. Prior studies have largely focused on single user groups, particularly recipients, thereby overlooking the dual-user nature of digital food banks that involve both donors and recipients within a shared value-exchange system. This conceptual paper aims to address this gap by proposing an extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework to examine intention and use behaviour toward digital food bank platforms. Drawing on UTAUT, the paper highlights the roles of performance expectancy, effort expectancy, social influence, and facilitating conditions in shaping users’ behavioural intention and use behaviour. By integrating insights from specific domain framing, this study offers a more comprehensive understanding of technology adoption within community-based digital food banks. The proposed framework offers a theoretical foundation for future empirical studies and provides practical implications for policymakers and platform developers seeking to enhance participation, sustainability, and effectiveness of digital food bank initiatives.
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References
Adiyono, S., Latifah, N., & Fithri, D. (2025). Analysis of Digital Readiness in the Social Assistance Distribution System with the Unified Theory of Acceptance and Use of Technology (UTAUT). Journal of Applied Informatics and Computing. https://doi.org/10.30871/jaic.v9i2.9070.
Almarri, J., & Rashid, R. (2025). The Use of ICT: The Mediating Role of Attitudinal Beliefs, Subjective Norms, Behavioral Control and Behavioral Intentions among Saudi Elementary Teachers. Journal of Posthumanism. https://doi.org/10.63332/joph.v5i5.1686.
Arhimah, T., Thompson, M., & Cudjoe-Mensah, Y. (2025). Disparities in access to educational technology and its impact on performance across socio-economic and racial groups in U.S. public schools. International Journal of Frontline Research in Multidisciplinary Studies. https://doi.org/10.56355/ijfrms.2025.5.2.0021.
Brennan-Tovey, K., Board, E., & Fulton, J. (2023). Counteracting Stigma-Power: An Ethnographic Case Study of an Independent Community Food Hub. Journal of Contemporary Ethnography, 52, 778 - 798. https://doi.org/10.1177/08912416231199095.
Dehinsilu-Isa, M., & Amodu, A. (2025). E-Governance and Transformation of Education: Bridging the Digital Divide in Lagos State. Journal of Contemporary Education Research. https://doi.org/10.70382/hujcer.v9i8.032.
Esmaeilidouki, A., Rambe, M., Ardestani-Jaafari, A., Li, E., & Marcolin, B. (2023). Food bank operations: review of operation research methods and challenges during COVID-19. BMC Public Health, 23. https://doi.org/10.1186/s12889-023-16269-4.
Hassoun, A., Marvin, H., Bouzembrak, Y., Barba, F., Castagnini, J., Pallarés, N., Rabail, R., Aadil, R., Bangar, S., Bhat, R., Cropotova, J., Maqsood, S., & Regenstein, J. (2023). Digital transformation in the agri-food industry: recent applications and the role of the COVID-19 pandemic. Frontiers in Sustainable Food Systems. https://doi.org/10.3389/fsufs.2023.1217813.
Idehai, O., Mbaya, P., Chung, T., & Bhurosy, T. (2024). A systematic review of factors associated with student use of campus food pantries: implications for addressing barriers and facilitating use. BMC Public Health, 24. https://doi.org/10.1186/s12889-023-17583-7.
Loofbourrow, B. M., & Scherr, R. E. (2023). Food insecurity in higher education: A contemporary review of impacts and explorations of solutions. International journal of environmental research and public health, 20(10), 5884. 1660-https://doi.org/10.3390/ijerph20105884460
McKay, F.H., Olajide, B.R., Melleuish, L.J. et al. Food Insecurity Among Post-Secondary Students in High Income Countries: Systematic Review and Meta-Analysis. Curr Nutr Rep 14, 58 (2025). https://doi.org/10.1007/s13668-025-00651-2
Perälä, T., Kuisma, M., Uusi‐Heikkilä, S., & Kuparinen, A. (2024). Food-web complexity, consumer behavior, and diet specialism: impacts on ecosystem stability. Theoretical Ecology, 17, 131 - 141. https://doi.org/10.1007/s12080-024-00580-w.
Su, J., Wang, Y., Liu, H., Zhang, Z., Wang, Z., & Li, Z. (2025). Investigating the factors influencing users’ adoption of artificial intelligence health assistants based on an extended UTAUT model. Scientific Reports, 15. https://doi.org/10.1038/s41598-025-01897-0.
Suhardjono, S., Cakranegara, P. A., Sari, A. R., Gugat, R. M. D., & Mayasari, N. (2022). Analysis of Internet Utilization for the Community in Terms of Rural and Urban Conditions in the Province of Indonesia. Jurnal Mantik, 6(3), 2954-2961.
Tetri, B., Rantanen, T., & Kouvonen, A. (2024). Digital skills and intention to use digital health care and social welfare services among socially marginalized individuals in Finland: A cross-sectional study. Finnish Journal of eHealth and eWelfare. https://doi.org/10.23996/fjhw.143006.
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. https://doi.org/10.2307/30036540
Warshawsky, D. (2025). Leveraging crises into opportunities: European food banks in the time of covid, inflation, and war. Discover Food, 5. https://doi.org/10.1007/s44187-025-00375-w.
Xue, L., Rashid, A., & Sha, O. (2024). The Unified Theory of Acceptance and Use of Technology (UTAUT) in Higher Education: A Systematic Review. SAGE Open, 14. https://doi.org/10.1177/21582440241229570
