The increasing demand to adopt technological innovations in agriculture to improve productivity to make the sector sustainable calls for the importance of adopting the Internet of Things among agropreneurs. This study explores the awareness and acceptance of IoT technology among agropreneurs within Melaka, Malaysia. The structured questionnaire was administered to a total of 201 agropreneurs registered under FAMA and Yoshii Agro Care Enterprise. In this study, descriptive statistics and regression analyses were used to investigate the relationships among awareness, perceived usefulness, perceived ease of use, and actual IoT adoptions. Results showed a high level of awareness of the IoT but a very low adoption rate, with merely 26.4% of the respondents using IoT in farming. Perceived usefulness was proved to be a significant predictor of the adoption of IoT. Awareness itself may not drive adoption according to the results; efforts should focus on perceived usefulness and ease of use for better adoption. Future studies will, therefore, be directed to see how government support and infrastructure may facilitate IoT adoption among agropreneurs.
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Alahmad, T., Neményi, M., & Nyéki, A. (2023). Applying IoT Sensors and Big Data to Improve Precision Crop Production: A Review. Agronomy 2023, Vol. 13, Page 2603, 13(10), 2603. https://doi.org/10.3390/AGRONOMY13102603
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Balakrishna, G., & Nageshwara Rao, M. (2019). Study Report on Using IoT Agriculture Farm Monitoring. In Lecture Notes in Networks and Systems (Vol. 74, Issue January). Springer Singapore. https://doi.org/10.1007/978-981-13-7082-3_55
Caffaro, F., Micheletti Cremasco, M., Roccato, M., & Cavallo, E. (2020). Drivers of farmers’ intention to adopt technological innovations in Italy: The role of information sources, perceived usefulness, and perceived ease of use. Journal of Rural Studies, 76, 264–271. https://doi.org/10.1016/J.JRURSTUD.2020.04.028
Chuang, J., Wang, J., & Liou, Y.-C. (2020). Farmers’ Knowledge, Attitude, and Adoption of Smart Agriculture Technology in Taiwan. International Journal of Environmental Research and Public Health, 17(19), 7236. https://doi.org/10.3390/ijerph17197236
Chuang, Wang, J. H., & Liang, C. (2020). Implementation of Internet of Things depends on intention: young farmers’ willingness to accept innovative technology. International Food and Agribusiness Management Review, 23(2), 253–266. https://doi.org/10.22434/IFAMR2019.0121
Conway, S. F., Farrell, M., McDonagh, J., & Kinsella, A. (2022). ‘Farmers Don’t Retire’: Re-Evaluating How We Engage with and Understand the ‘Older’ Farmer’s Perspective. Sustainability 2022, Vol. 14, Page 2533, 14(5), 2533. https://doi.org/10.3390/SU14052533
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Dilipkumar, M., Ahmad-Hamdani, M. S., Rahim, H., Chuah, T. S., & Burgos, N. R. (2021). Survey on weedy rice (Oryza spp.) management practice and adoption of Clearfield® rice technology in Peninsular Malaysia. Weed Science, 69(5), 558–564. https://doi.org/10.1017/wsc.2021.16
Dinev, T., & Hu, Q. (2007). The centrality of awareness in the formation of user behavioral intention toward protective information technologies. Journal of the Association for Information Systems, 8(7), 386–408. https://doi.org/10.17705/1jais.00133
Ebrahimi Sarcheshmeh, E., Bijani, M., & Sadighi, H. (2018). Adoption behavior towards the use of nuclear technology in agriculture: A causal analysis. Technology in Society, 55(August), 175–182. https://doi.org/10.1016/j.techsoc.2018.08.001
Folkinshteyn, D., & Lennon, M. (2016). Braving Bitcoin: A technology acceptance model (TAM) analysis. Journal of Information Technology Case and Application Research, 18(4), 220–249. https://doi.org/10.1080/15228053.2016.1275242
Han, J. H., & Sa, H. J. (2021). Acceptance of and satisfaction with online educational classes through the technology acceptance model (TAM): the COVID-19 situation in Korea. Asia Pacific Education Review, 0123456789. https://doi.org/10.1007/s12564-021-09716-7
Hassan, M. A., Farid, M. A. A., Zakaria, M. R., Ariffin, H., Andou, Y., & Shirai, Y. (2024). Palm oil expansion in Malaysia and its countermeasures through policy window and biorefinery approach. Environmental Science & Policy, 153, 103671. https://doi.org/10.1016/J.ENVSCI.2024.103671
Hoang, T., & Qu, Y. (2024). Creating A Security Baseline and Cybersecurity Framework for the Internet of Things Via Security Controls. European Journal of Electrical Engineering and Computer Science, 8(2), 9–16. https://doi.org/10.24018/EJECE.2024.8.2.609
Jarkko, P., Anderson, A., McElwee, G., & Vesala, K. (2006). Developing the entrepreneurial skills of farmers: Some myths explored. International Journal of Entrepreneurial Behaviour and Research, 12(1), 21–39. https://doi.org/10.1108/13552550610644463
Jumbri, I. A., Aris, N., & Bakri, M. H. (2022). Modelling Gerontechnology Adoption Within the Framework of Society 5.0 In Malaysia. International Journal for Studies on Children, Women, Elderly and Disabled, 17(December), 124–129. https://www.ijcwed.com/wp-content/uploads/2023/01/IJCWED17_504.pdf
Kassim, M. R. M. (2020). IoT Applications in Smart Agriculture: Issues and Challenges. 2020 IEEE Conference on Open Systems, ICOS 2020, 19–24. https://doi.org/10.1109/ICOS50156.2020.9293672
Kaur, H. (2019). Modelling internet of things driven sustainable food security system. Benchmarking, 28(5), 1740–1760. https://doi.org/10.1108/BIJ-12-2018-0431/FULL/PDF
Khan, I. H., & Javaid, M. (2022). Role of Internet of Things (IoT) in Adoption of Industry 4.0. Journal of Industrial Integration and Management, 7(4), 515–533. https://doi.org/10.1142/S2424862221500068/ASSET/IMAGES/LARGE/S2424862221500068FIGF2.JPEG
Khan, S. A., Ahmad, S., & Jamshed, M. (2021). IoT-enabled services in online food retailing. Journal of Public Affairs, 21(1), e2150. https://doi.org/10.1002/PA.2150
Khattab, A., Habib, S. E. D., Ismail, H., Zayan, S., Fahmy, Y., & Khairy, M. M. (2019). An IoT-based cognitive monitoring system for early plant disease forecast. Computers and Electronics in Agriculture, 166, 105028. https://doi.org/10.1016/J.COMPAG.2019.105028
Kim, W. S., Lee, W. S., & Kim, Y. J. (2020). A Review of the Applications of the Internet of Things (IoT) for Agricultural Automation. Journal of Biosystems Engineering, 45(4), 385–400. https://doi.org/10.1007/S42853-020-00078-3/METRICS
Kler, R., Gangurde, R., Elmirzaev, S., Hossain, M. S., Vo, N. V. T., Nguyen, T. V. T., & Kumar, P. N. (2022). Optimization of Meat and Poultry Farm Inventory Stock Using Data Analytics for Green Supply Chain Network. Discrete Dynamics in Nature and Society, 2022(1), 8970549. https://doi.org/10.1155/2022/8970549
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