PROPOSED CONCEPTUAL FRAMEWORK FOR STUDYING NON-USERS RICE FARMERS' INTENTION TO USE COMMERCIAL BIOPESTICIDES PRODUCTS
DOI:
https://doi.org/10.21009/JRMSI.014.2.07Keywords:
intention, commercial biopesticide products, non-users rice farmer, UTAUT2Abstract
Commercial biopesticide products have been developed for a long time in Indonesia, but until now the level of application is still relatively low. This paper aims to determine the factors that are expected to influence the intention of non-users rice farmers to use commercial biopesticide products. Furthermore, a conceptual framework of intention to use commercial biopesticide products is proposed. Based on the literature review of previous empirical studies in various contexts, this paper has explored the factors that influence the intention of using biopesticides. Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) is employed as the main theoretical basis in this study which can be extended with relevant constructs to the research context (extended UTAUT2). The proposed conceptual framework recommends that non-users rice farmers' intention to use commercial biopesticide products is expected to be influenced by variables namely performance expectancy, effort expectancy, social influence, facilitating condition, price value, perceived need, information publicity, and product marketing. This integrative conceptual framework is expected to have a theoretical contribution to understand the factors of non-users rice farmers’ intention to use commercial biopesticide products. In addition, it is beneficial for policymakers and managers to formulate and implement strategies to increase rice farmers' intention to use commercial biopesticide products.
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Aggarwal, A. K., Syed, A. A., & Garg, S. (2019). Factors driving Indian consumer’s purchase intention of roof top solar. International Journal of Energy Sector Management, 13(3), 539–555. https://doi.org/10.1108/IJESM-07-2018-0012
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Akyüz, N. C., & Theuvsen, L. (2020). The impact of behavioral drivers on adoption of sustainable agricultural practices: The case of organic farming in Turkey. Sustainability (Switzerland), 12(17), 6875. https://doi.org/10.3390/SU12176875
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Amini, M., Rahmani, A., Abedi, M., Hosseini, M., Amini, M., Amini, M., & Gostar, M. (2021). Mahamgostar.com as a Case Study for Adoption of Lavarel Framework as the Best Programming Tools for PHP Based Web Development for Small and Medium Enterprises. Journal of Innovation & Knowledge, May, 100–110.
Astuti, P., Ismono, R. H., & Situmorang, S. (2013). Faktor-faktor penyebab rendahnya minat petani untuk menerapkan budidaya cabai merah ramah lingkungan di kabupaten lampung selatan. Ilmu-Ilmu Agribisnis, 1(1), 87–92.
Ataei, P., Gholamrezai, S., Movahedi, R., & Aliabadi, V. (2021). An analysis of farmers’ intention to use green pesticides: The application of the extended theory of planned behavior and health belief model. Journal of Rural Studies, 81, 374–384. https://doi.org/10.1016/j.jrurstud.2020.11.003
Beza, E., Reidsma, P., Poortvliet, P. M., Belay, M. M., Bijen, B. S., & Kooistra, L. (2018). Exploring farmers’ intentions to adopt mobile Short Message Service (SMS) for citizen science in agriculture. Computers and Electronics in Agriculture, 151(June), 295–310. https://doi.org/10.1016/j.compag.2018.06.015
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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(April), 264–271. https://doi.org/10.1016/j.jrurstud.2020.04.028
Davis, F. D. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results [Massachusetts Institute of Technology]. https://doi.org/10.1126/science.146.3652.1648
Dwivedi, Y. K., Rana, N. P., Chen, H., & Williams, M. D. (2011). A meta-analysis of the unified theory of acceptance and use of technology (UTAUT). In B. N. Nüttgens M., Gadatsch A., Kautz K., Schirmer I. (Ed.), Governance and Sustainability in Information Systems. Managing the Transfer and Diffusion of IT (Vol. 366, pp. 155–170). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24148-2_10
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Faridi, A. A., Kavoosi-Kalashami, M., & Bilali, H. El. (2020). Attitude components affecting adoption of soil and water conservation measures by paddy farmers in Rasht County, Northern Iran. Land Use Policy, 99(June), 104885. https://doi.org/10.1016/j.landusepol.2020.104885
Fathia, Q. N., Nurmalina, R., & Simanjuntak, M. (2018). Consumer’s Attitude and Willingness to Pay for Organic Rice. Indonesian Journal of Business and Entrepreneurship, 4(1), 11–21. https://doi.org/10.17358/ijbe.4.1.11
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley Publishing Company. https://people.umass.edu/aizen/f&a1975.html
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate Data Analysis. Pearson Education Limited. https://doi.org/10.1002/9781118895238.ch8
Hayat, N., Al Mamun, A., Nasir, N. A. M., Selvachandran, G., Nawi, N. B. C., & Gai, Q. S. (2020). Predicting sustainable farm performance-Using hybrid structural equation modelling with an artificial neural network approach. Land, 9(9), 1–37. https://doi.org/10.3390/LAND9090289
Izdihar, H. (2012). Motivasi dan Persepsi Petani Kentang Dataran Tinggi Dieng terhadap Pestisida Organik serta Analisisnya berdasarkan Theory of Planned Behavior. IPB University.
Jeong, N., Yoo, Y., & Heo, T.-Y. (2009). Moderating effect of personal innovativeness on mobile-RFID services: Based on Warshaw’s purchase intention model. Technological Forecasting and Social Change, 76(1), 154–164. https://doi.org/10.1016/j.techfore.2008.08.007
Kang, H. S., & Moneyham, L. (2010). Attitudes toward and intention to receive the human papilloma virus (HPV) vaccination and intention to use condoms among female Korean college students. Vaccine, 28(3), 811–816. https://doi.org/10.1016/j.vaccine.2009.10.052
Khan, R. A., & Qudrat-ullah, H. (2021). Adoption of LMS in Higher Educational Institutions of the Middle East. Springer Nature Switzerland AG 2021.
Khechine, H., Lakhal, S., & Ndjambou, P. (2016). A meta-analysis of the UTAUT model: Eleven years later. Canadian Journal of Administrative Sciences, 33(2), 138–152. https://doi.org/10.1002/cjas.1381
Kusumo, R. A. B., Rasmikayati, E., Mukti, G. W., Fatimah, S., & Saefudin, B. R. (2018). Faktor-Faktor yang Mempengaruhi Keputusan Petani Mangga Dalam Menggunakan Teknologi Off Season di Kabupaten Cirebon. MIMBAR AGRIBISNIS: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis, 4(1), 57–69.
Labaran, M. (2015). Assessing the Factors Influencing the Adoption of Bio-Pesticides in Vegetable Production in the Ashanti Region of Ghana [Kwame Nkrumah University of Science and Technology]. https://doi.org/10.1145/3132847.3132886
Li, W., Clark, B., Taylor, J. A., Kendall, H., Jones, G., Li, Z., Jin, S., Zhao, C., Yang, G., Shuai, C., Cheng, X., Chen, J., Yang, H., & Frewer, L. J. (2020). A hybrid modelling approach to understanding adoption of precision agriculture technologies in Chinese cropping systems. Computers and Electronics in Agriculture, 172, 105305. https://doi.org/10.1016/j.compag.2020.105305
Lin, T.-C., Wu, S., Wang, K., & Tsai, M.-C. (2015). Factors Affecting Third-Generation Mobile Services: Applying the Purchase Intention Model. Journal of Organizational Computing and Electronic Commerce, 25(1), 47–75. https://doi.org/10.1080/10919392.2015.990778
Macharia, I., Mithöfer, D., & Waibel, H. (2013). Pesticide handling practices by vegetable farmer in Kenya. Environment, Development and Sustainability, 15, 887–902. https://doi.org/10.1007/s10668-012-9417-x
Markets and Markets. (2020). Biopesticides Market. https://www.marketsandmarkets.com/Market-Reports/biopesticides-267.html
Martín, H. S., & Herrero, Á. (2012). Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework. Tourism Management, 33(2), 341–350. https://doi.org/10.1016/j.tourman.2011.04.003
Migwi, B. G. (2016). Assessment of Farmers’ Perceptions of and Willingness to Pay for Aflasafe KE01, a Biological Control for Aflatoxins in Kenya. University of Nairobi.
Mordor Intelligence. (2023). Indonesia Biopesticides Market Size & Share Analysis - Growth Trends & Forecasts (2023 - 2028). https://www.mordorintelligence.com/industry-reports/indonesia-biopesticides-market
Mukred, A., Singh, D., & Mohd Satar, N. S. (2020). Examining The Influence of Perceived Need on The Adoption of Information System in Public Hospitals in Yemen. Asia-Pacific Journal of Information Technology and Multimedia, 9(2), 35–49. https://doi.org/10.17576/apjitm-2020-0902-04
Neuman, W. L. (2014). Social Research Methods: Qualitative and Quantitative Approaches (7th ed.). Pearson Education Limited. https://doi.org/10.2307/3211488
Parvan, A. (2011). Agricultural Technology Adoption: issues for consideration when scaling-up. Cornell Policy Review, 1(1), 1–28.
Prabayanti, H. (2010). Faktor-faktor yang Mempengaruhi Adopsi Biopestisida oleh Petani di Kecamatan Mojogedang. Universitas Sebelas Maret.
Prasetya, M. H., Zebua, D. D. N., & Yuliawati. (2021). Faktor Internal dan Eksternal Yang Mempengaruhi Tingkat Resistensi Petani Terhadap Usahatani Padi Organik. Jurnal Sosial Ekonomi Pertanian, 17(1), 39–51.
Rasyidha, M. H., Najib, M., & Sumarwan, U. (2020). The Influence of Intention to Use Medians Potato Varieties on the Result of Technological Innovation Development with Technology Acceptance Models. Jurnal Manajemen, 24(1), 38–58. https://doi.org/10.24912/jm.v24i1.617
Renaud, K., & Van Biljon, J. (2008). Predicting technology acceptance and adoption by the elderly: A qualitative study. Proceedings of the South African Institute for Computer Scientists and Information Technologists (SAICSIT). https://doi.org/10.1145/1456659.1456684
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2023-09-01
How to Cite
Istriningsih, Sumarwan, U., Hartoyo, & Suharjo, B. (2023). PROPOSED CONCEPTUAL FRAMEWORK FOR STUDYING NON-USERS RICE FARMERS’ INTENTION TO USE COMMERCIAL BIOPESTICIDES PRODUCTS. JRMSI - Jurnal Riset Manajemen Sains Indonesia, 14(02), 78–90. https://doi.org/10.21009/JRMSI.014.2.07
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Articles in Jurnal Riset Manajemen Sains Indonesia are Open Access articles published under the Creative Commons CC BY-NC-SA License. This license permits use, distribution and reproduction in any medium for non-commercial purposes only, provided the original work and source is properly cited. Any derivative of the original must be distributed under the same license as the original.
