Cold Chain Technology Adoption in Agriculture: Insights from the UTAUT Model on Vegetable Producers' Willingness
DOI:
https://doi.org/10.4067/s0718-27242025000200079Keywords:
Vegetable producers, Cold chain technology, Unified theory of acceptance and use of technology (UTAUT), Adoption intention, Solar powered modular technologyAbstract
The UTAUT model has been extensively applied in fields like information technology and education, but its application in the agricultural sector, regarding cold chain technology adoption among vegetable producers, remains scarce. Despite its potential to reduce significant post-harvest losses and improve food security, the adoption of CCT remains limited in low-resource agricultural settings. Using data collected from 87 vegetable producers and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM), the study examines the influence of performance expectancy, effort expectancy, social influence, and facilitating conditions on behavioral intention. Data from 87 vegetable producers who used the technology was collected to test the hypothesized model. The model explained 58.9% of the variance in adoption intention, with performance expectancy (β = 0.491, p ≤ 0.000), social influence (β = 0.211, p ≤ 0.05), and facilitating conditions (β = 0.206, p ≤ 0.05) emerging as significant predictors. The Effort expectancy, while positively perceived, did not show a significant effect, suggesting that ease of use is secondary to perceived utility. The findings underscore the importance of performance-driven messaging, peer influence, and supportive infrastructure in scaling agro-technologies. In conclusion, Vegetable producers indicate willingness to accept, adopt and use the technology; it is recommended that the training on the operation of the technology should be taken into account. This research contributes to the technology adoption literature in agriculture and informs policy and practice aimed at enhancing food system resilience and achieving sustainable development outcomes.
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Agarwal, R., & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30(2), 361–391. https://doi.org/10.1111/j.1540-5915.1999.tb01614.x
Bajunaied, K., Hussin, N., & Kamarudin, S. (2023). Behavioral intention to adopt FinTech services: An extension of unified theory of acceptance and use of technology. Journal of Open Innovation: Technology, Market, and Complexity, 9(1), 100010. https://doi.org/10.1016/j.joitmc.2023.100010
Becker, J. M., Klein, K., & Wetzels, M. (2012). Hierarchical latent variable models in PLS-SEM: Guidelines for using reflective-formative type models. Long Range Planning, 45(5–6), 359–394. https://doi.org/10.1016/j.lrp.2012.10.001
Chikoye, D. M., Gupta, N. K., & Kandadi, K. R. (2018). Application of UTAUT in understanding the adoption of technologies for reducing post harvest maize losses in Zambia. International Journal of Agriculture and Environment Research, 4(3), 610-636. https://ijaer.in/2018files/ijaer_04__49.pdf
Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475-487. https://doi.org/10.1006/imms.1993.1022
de Sena Abrahão, R., Moriguchi, S. T., & Andrade, D. F. (2016). Intention of adoption of mobile payment: An analysis in the light of the Unified Theory of Acceptance and Use of Technology (UTAUT). RAI Revista de Administração e Inovação, 13(3), 221–230. https://doi.org/10.1016/j.rai.2016.06.003
Ekka, R., & Mjawa, B. (2020). Case study growth of Tanzania’s horticulture sector: Role of TAHA in reducing food loss. Climatelinks. Recuperado el 15 de abril de 2024, de https://www.climatelinks.org/resources/case-study-growth-tanzanias-horticulture-sector-role-taha-reducing-food-loss
Eweoya, I., Okuboyejo, S. R., Odetunmibi, O. A., & Odusote, B. O. (2021). An empirical investigation of acceptance, adoption and the use of E-agriculture in Nigeria. Heliyon, 7(6), e07588. https://doi.org/10.1016/j.heliyon.2021.e07588
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Addison-Wesley. Recuperado el 23 de enero de 2024, de https://people.umass.edu/aizen/f&a1975.html
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM) (3.ª ed.). SAGE Publications.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1–2), 1–12. https://doi.org/10.1016/j.lrp.2013.01.001
Henseler, J., Ringle, C. M., & Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135. https://doi.org/10.1007/s11747-014-0403-8
Henseler, J., Ringle, M. C., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. En Advances in International Marketing (pp. 277-319). Emerald JAI Press. http://dx.doi.org/10.1108/S1474-7979(2009)0000020014
Kline, R. B. (2011). Principles and practice of structural equation modeling (4.ª ed.). The Guilford Press.
Ky, S. S. (2025). Empowering Sub-Saharan farmers: The transformative effect of mobile money in agriculture. Journal of Rural Studies, 117, 103637. https://doi.org/10.1016/j.jrurstud.2025.103637
Lai, P. C. (2017). The literature review of technology adoption models and theories for the novelty technology. Journal of Information System and Technology Management, 14(1), 21-38. https://doi.org/10.4301/S1807-17752017000100002
Lescevica, M., Ginters, E., & Mazza, R. (2013). Unified Theory of Acceptance and Use of Technology for market analysis of FP7 CHOReOs products. Procedia Computer Science, 26, 51-68. https://doi.org/10.1016/j.procs.2013.12.007
Liu, C. H., Chen, Y. T., Kittikowit, S., Hongsuchon, T., & Chen, Y. J. (2022). Using Unified Theory of Acceptance and Use of Technology to evaluate the impact of a mobile payment app on the shopping intention and usage behavior of middle-aged customers. Frontiers in Psychology, 13, 830842. https://doi.org/10.3389/fpsyg.2022.830842
Makule, E., Dimoso, N., & Tassou, S. A. (2022). Precooling and cold storage methods for fruits and vegetables in Sub-Saharan Africa—A review. Horticulturae, 8(9), 776. https://doi.org/10.3390/horticulturae8090776
Match Maker Associates. (2017). Horticulture study: Mapping of production of fruits and vegetables in Tanzania. Embassy of the Kingdom of the Netherlands.
Mwalupaso, G., Baiyegunhi, L. J. S., & Zulu, M. C. (2021). Determinants of mobile money adoption among smallholder farmers using an extended UTAUT2 model. Cogent Business & Management, 8(1), 1892927. https://doi.org/10.1080/23311975.2021.1892927
Nkandu, P., & Phiri, J. (2022). Assessing the effect of ICTs on agriculture productivity based on the UTAUT model in developing countries. Case study of Southern Province in Zambia. Open Journal of Business and Management, 10, 3436-3454. https://doi.org/10.4236/ojbm.2022.106169
Ringle, C. M., Wende, S., & Becker, J. M. (2022). SmartPLS 4. SmartPLS GmbH. http://www.smartpls.com
Rogers, E. M. (1995). Diffusion of innovations (4.ª ed.). Free Press.
Salsabil, A. P., Pratama, A., & Wulansari, A. (2022). Behavior analysis on PLN mobile users using UTAUT method. Jurnal Riset Informatika, 5(1), 155-164. https://doi.org/10.34288/jri.v5i1.486
Saparudin, M., Rahayu, A., Hurriyati, R., Sultan, M. A., & Ramdan, A. M. (2020). Consumers’ continuance intention use of mobile banking in Jakarta: Extending UTAUT models with trust. Proceedings of 2020 International Conference on Information Management and Technology, ICIMTech 2020, 50–54. https://doi.org/10.1109/ICIMTECH50083.2020.9211188
Sharma, A., Mohan, A., Johri, A., & Mohammad, A. (2024). Determinants of fintech adoption in agrarian economy: Study of UTAUT extension model in reference to developing economies. Journal of Open Innovation: Technology, Market, and Complexity, 10(2), 100273. https://doi.org/10.1016/j.joitmc.2024.100273
United Republic of Tanzania. (2021). National sample census of agriculture 2019/20. National report. National Bureau of Statistics. https://www.nbs.go.tz/nbs/takwimu/Agric/Tanzania_Key_Findings_Report_2019-20_ASC.pdf
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481. https://doi.org/10.1111/j.1540-5915.1996.tb01822.x
Venkatesh, V., & Davis, F. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. [suspicious link removed]
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, 24(1), 115-139. https://doi.org/10.2307/3250981
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
Venkatesh, V., Thong, J. Y. L., Chan, Y., Hu, P. J. H., & Brown, S. A. (2011). Extending the two-stage information systems continuance model: Incorporating UTAUT predictors and the role of context. Information Systems Journal, 21(6), 527-555. https://doi.org/10.1111/j.1365-2575.2011.00373.x
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
Xie, Q., Zhu, Y., Liu, Y., & Wang, Y. (2022). Applying UTAUT model to understand farmers’ adoption of ecological agriculture technologies in China. Sustainability, 14(12), 7653. https://doi.org/10.3390/su14137653
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