Unleashing the Power of Digital Farming: Local Young Farmers’ Perspectives on Sustainable Value Creation

Authors

  • Norbertus Citra Irawan Ph.D. Student of Agriculture Science, Faculty of Agriculture, Universitas Gadjah Mada, Yogyakarta, Indonesia and Agribusiness Department, Tunas Pembangunan University, Surakarta, Indonesia
  • Irham Department of Agricultural Socioeconomics, Faculty of Agriculture, Universitas Gadjah Mada, Yogyakarta, Indonesia
  • Jangkung Handoyo Mulyo Department of Agricultural Socioeconomics, Faculty of Agriculture, Universitas Gadjah Mada, Yogyakarta, Indonesia
  • Any Suryantini Department of Agricultural Socioeconomics, Faculty of Agriculture, Universitas Gadjah Mada, Yogyakarta, Indonesia

DOI:

https://doi.org/10.18196/agraris.v9i2.239

Keywords:

Innovation diffusion theory, Persuasion problem, Technology adoption, Young farmer

Abstract

A new challenge has emerged: how to implement innovations in agriculture? The expansion of digital technology has created new opportunities within the agricultural sector, particularly for young farmers, enabling the integration of information and communication technology into digital farming. Employing innovation diffusion theory, this study seeks to ascertain how young farmers perceive the integration of digital technology into various aspects of farming and how these views influence the formation of sustainable value creation. The study area was determined purposively, and this research utilized the case study method by interviewing 80 respondents. The data were analyzed using structural equations and partial least squares models. Using the innovation diffusion theory, the results unveiled that knowledge, persuasion, decision, implementation, and confirmation from young farmers significantly and positively affected the sustainable value creation.

References

Adetama, D. S., Fauzi, A., Juanda, B., & Hakim, D. B. (2022). A Policy Framework and Prediction on Low Carbon Development in the Agricultural Sector in Indonesia. International Journal of Sustainable Development and Planning, 17(7), 2209–2219. https://doi.org/10.18280/ijsdp.170721

Agyekumhene, C., de Vries, J. R., Paassen, A. van, Schut, M., & MacNaghten, P. (2020). Making Smallholder Value Chain Partnerships Inclusive: Exploring Digital Farm Monitoring through Farmer Friendly Smartphone Platforms. Sustainability, 12(11), 4580. https://doi.org/10.3390/su12114580

Arli, D., & Bakpayev, M. (2023). Exploring the role of innovation attributes on mobile payment adoption. Journal of Consumer Marketing, 40(7), 826–841. https://doi.org/10.1108/JCM-04-2021-4630

Attanasio, G., Preghenella, N., De Toni, A. F., & Battistella, C. (2022). Stakeholder engagement in business models for sustainability: The stakeholder value flow model for sustainable development. Business Strategy and the Environment, 31(3), 860–874. https://doi.org/10.1002/bse.2922

Ayre, M., Mc Collum, V., Waters, W., Samson, P., Curro, A., Nettle, R., … Reichelt, N. (2019). Supporting and practising digital innovation with advisers in smart farming. NJAS: Wageningen Journal of Life Sciences, 90–91(1), 1–12. https://doi.org/10.1016/j.njas.2019.05.001

Balogh, P., Bujdos, Á., Czibere, I., Fodor, L., Gabnai, Z., Kovách, I., … Bai, A. (2020). Main Motivational Factors of Farmers Adopting Precision Farming in Hungary. Agronomy, 10(4), 610. https://doi.org/10.3390/agronomy10040610

Barrett, H., & Rose, D. C. (2022). Perceptions of the Fourth Agricultural Revolution: What’s In, What’s Out, and What Consequences are Anticipated? Sociologia Ruralis, 62(2), 162–189. https://doi.org/10.1111/soru.12324

Bolfe, É. L., Jorge, L. A. de C., Sanches, I. D., Luchiari Júnior, A., da Costa, C. C., Victoria, D. de C., … Ramirez, A. R. (2020). Precision and Digital Agriculture: Adoption of Technologies and Perception of Brazilian Farmers. Agriculture, 10(12), 653. https://doi.org/10.3390/agriculture10120653

Bronson, K. (2019). Looking through a responsible innovation lens at uneven engagements with digital farming. NJAS: Wageningen Journal of Life Sciences, 90–91(1), 1–6. https://doi.org/10.1016/j.njas.2019.03.001

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.-H., 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

Clapp, J., & Ruder, S.-L. (2020). Precision Technologies for Agriculture: Digital Farming, Gene-Edited Crops, and the Politics of Sustainability. Global Environmental Politics, 20(3), 49–69. https://doi.org/10.1162/glep_a_00566

Cosenz, F., Rodrigues, V. P., & Rosati, F. (2020). Dynamic business modeling for sustainability: Exploring a system dynamics perspective to develop sustainable business models. Business Strategy and the Environment, 29(2), 651–664. https://doi.org/10.1002/bse.2395

Czyżewski, B., Matuszczak, A., Grzelak, A., Guth, M., & Majchrzak, A. (2021). Environmental sustainable value in agriculture revisited: How does Common Agricultural Policy contribute to eco-efficiency? Sustainability Science, 16, 137–152. https://doi.org/10.1007/s11625-020-00834-6

DeLay, N. D., Thompson, N. M., & Mintert, J. R. (2022). Precision agriculture technology adoption and technical efficiency. Journal of Agricultural Economics, 73(1), 195–219. https://doi.org/10.1111/1477-9552.12440

Dewi, D. E., Cahyani, P. N. A., & Megawati, L. R. (2023). Increasing Adoption of the Internet of Things in Indonesian Agriculture Based on a Review of Everett Rogers’ Diffusion Theory of Innovation. Proceedings of the Business Innovation and Engineering Conference (BIEC 2022), 303–309. Atlantis Press. https://doi.org/10.2991/978-94-6463-144-9_29

Fahmi, F. Z., & Arifianto, A. (2022). Digitalization and Social Innovation in Rural Areas: A Case Study from Indonesia. Rural Sociology, 87(2), 339–369. https://doi.org/10.1111/ruso.12418

Gaikwad, S. V, Vibhute, A. D., Kale, K. V, & Mehrotra, S. C. (2021). An innovative IoT based system for precision farming. Computers and Electronics in Agriculture, 187, 106291. https://doi.org/10.1016/j.compag.2021.106291

Gangwar, D. S., Tyagi, S., & Soni, S. K. (2022). A techno-economic analysis of digital agriculture services: an ecological approach toward green growth. International Journal of Environmental Science and Technology, 19, 3859–3870. https://doi.org/10.1007/s13762-021-03300-7

Giua, C., Materia, V. C., & Camanzi, L. (2022). Smart farming technologies adoption: Which factors play a role in the digital transition? Technology in Society, 68, 101869. https://doi.org/10.1016/j.techsoc.2022.101869

Glover, D., Sumberg, J., Ton, G., Andersson, J., & Badstue, L. (2019). Rethinking technological change in smallholder agriculture. Outlook on Agriculture, 48(3), 169–180. https://doi.org/10.1177/0030727019864978

Gomez-Trujillo, A. M., & Gonzalez-Perez, M. A. (2022). Digital transformation as a strategy to reach sustainability. Smart and Sustainable Built Environment, 11(4), 1137–1162. https://doi.org/10.1108/SASBE-01-2021-0011

Hair Jr, J., Jr, J. F. H., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publication.

Hrustek, L. (2020). Sustainability Driven by Agriculture through Digital Transformation. Sustainability, 12(20), 8596. https://doi.org/10.3390/su12208596

Ilham, A., Munir, A., Ala, A., & Sulaiman, A. A. (2022). The smart village program challenges in supporting national food security through the implementation of agriculture 4.0. IOP Conference Series: Earth and Environmental Science, 1107, 012097. IOP Publishing. https://doi.org/10.1088/1755-1315/1107/1/012097

Kernecker, M., Knierim, A., Wurbs, A., Kraus, T., & Borges, F. (2020). Experience versus expectation: farmers’ perceptions of smart farming technologies for cropping systems across Europe. Precision Agriculture, 21, 34–50. https://doi.org/10.1007/s11119-019-09651-z

Khaerunnisa, Nurmayulis, & Salampessy, Y. L. A. (2022). Attitude of young farmers to on-farm business sustainability based on the behavior and success of seeking digital information related to agriculture (case of Lebak Regency, Banten Province-Indonesia). IOP Conference Series: Earth and Environmental Science, 978, 012037. {IOP} Publishing. https://doi.org/10.1088/1755-1315/978/1/012037

Kolady, D. E., Van der Sluis, E., Uddin, M. M., & Deutz, A. P. (2021). Determinants of adoption and adoption intensity of precision agriculture technologies: evidence from South Dakota. Precision Agriculture, 22, 689–710. https://doi.org/10.1007/s11119-020-09750-2

Leder, N., Kumar, M., & Rodrigues, V. S. (2020). Influential factors for value creation within the Circular Economy: Framework for Waste Valorisation. Resources, Conservation and Recycling, 158, 104804. https://doi.org/10.1016/j.resconrec.2020.104804

Lioutas, E. D., Charatsari, C., & De Rosa, M. (2021). Digitalization of agriculture: A way to solve the food problem or a trolley dilemma? Technology in Society, 67, 101744. https://doi.org/10.1016/j.techsoc.2021.101744

Liu, J., & Sengers, P. (2021). Legibility and the Legacy of Racialized Dispossession in Digital Agriculture. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW2), 1–21. https://doi.org/10.1145/3479867

Liu, Y., Ma, X., Shu, L., Hancke, G. P., & Abu-Mahfouz, A. M. (2021). From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges. IEEE Transactions on Industrial Informatics, 17(6), 4322–4334. https://doi.org/10.1109/TII.2020.3003910

Mahdi, M. I. (2022). Krisis Petani Muda di Negara Agraris. Retrieved from dataindonesia.id website: https://dataindonesia.id/agribisnis-kehutanan/detail/krisis-petani-muda-di-negara-agraris

Maulani, G., Rahardja, U., Hardini, M., I’zzaty, R. D., Aini, Q., & Santoso, N. P. L. (2020). Educating Farmers Using Participatory Rural Appraisal Construct. 2020 Fifth International Conference on Informatics and Computing (ICIC), 1–8. IEEE. https://doi.org/10.1109/ICIC50835.2020.9288652

Mendes, J. A. J., Carvalho, N. G. P., Mourarias, M. N., Careta, C. B., Vânia Gomes Zuin, & Gerolamo, M. C. (2022). Dimensions of digital transformation in the context of modern agriculture. Sustainable Production and Consumption, 34, 613–637. https://doi.org/10.1016/j.spc.2022.09.027

Mohamed, E. S., Belal, A., Abd-Elmabod, S. K., El-Shirbeny, M., Gad, A., & Zahran, M. B. (2021). Smart farming for improving agricultural management. The Egyptian Journal of Remote Sensing and Space Science, 24(3), 971–981. https://doi.org/10.1016/j.ejrs.2021.08.007

Nasirahmadi, A., & Hensel, O. (2022). Toward the Next Generation of Digitalization in Agriculture Based on Digital Twin Paradigm. Sensors, 22(2), 498. https://doi.org/10.3390/s22020498

Nasution, M. I., Fahmi, M., Jufrizen, Muslih, & Prayogi, M. A. (2020). The Quality of Small and Medium Enterprises Performance Using the Structural Equation Model-Part Least Square (SEM-PLS). Journal of Physics: Conference Series, 1477, 52052. {IOP} Publishing. https://doi.org/10.1088/1742-6596/1477/5/052052

Niyawanont, N. (2022). Structural Equation Modelling of Digital Transformation Process of Thailand Agriculture & Food Industry. Journal of Technology Management & Innovation, 17(3), 40–51. https://doi.org/10.4067/S0718-27242022000300040

Ofori, M., & El-Gayar, O. (2021). Drivers and challenges of precision agriculture: a social media perspective. Precision Agriculture, 22, 1019–1044. https://doi.org/10.1007/s11119-020-09760-0

Omulo, G., & Kumeh, E. M. (2020). Farmer-to-farmer digital network as a strategy to strengthen agricultural performance in Kenya: A research note on ‘Wefarm’ platform. Technological Forecasting and Social Change, 158, 120120. https://doi.org/10.1016/j.techfore.2020.120120

Ong, J. W., Rahim, M. F. A., Lim, W., & Nizat, M. N. M. (2022). Agricultural Technology Adoption as a Journey: Proposing the Technology Adoption Journey Map. International Journal of Technology, 13(5), 1090. https://doi.org/10.14716/ijtech.v13i5.5863

Prasetyaningrum, D., Ruminar, H., & Irwandi, P. (2022). The Perception and Interest of Career Choices in Agriculture: Case of Agroecotechnology and Agribusiness Students. HABITAT, 33(2), 186–200. https://doi.org/10.21776/ub.habitat.2022.033.2.19

Prause, L. (2021). Digital Agriculture and Labor: A Few Challenges for Social Sustainability. Sustainability, 13(11), 5980. https://doi.org/10.3390/su13115980

Prihadyanti, D., & Aziz, S. A. (2023). Indonesia toward sustainable agriculture – Do technology‐based start‐ups play a crucial role? Business Strategy & Development, 6(2), 140–157. https://doi.org/10.1002/bsd2.229

Qin, T., Wang, L., Zhou, Y., Guo, L., Jiang, G., & Zhang, L. (2022). Digital Technology-and-Services-Driven Sustainable Transformation of Agriculture: Cases of China and the EU. Agriculture, 12(2), 297. https://doi.org/10.3390/agriculture12020297

Raihan, A., & Tuspekova, A. (2022). Dynamic impacts of economic growth, energy use, urbanization, agricultural productivity, and forested area on carbon emissions: New insights from Kazakhstan. World Development Sustainability, 1, 100019. https://doi.org/10.1016/j.wds.2022.100019

Sarstedt, M., & Cheah, J.-H. (2019). Partial least squares structural equation modeling using SmartPLS: a software review. Journal of Marketing Analytics, 7, 196–202. https://doi.org/10.1057/s41270-019-00058-3

Setiawan, K. (2020). Kementerian Pertanian: Petani Muda Hanya 2,7 Juta Atau 8 Persen. Retrieved from Tempo website: https://bisnis.tempo.co/read/1330943/kementerian-pertanian-petani-muda-hanya-27-juta-atau-8-persen

Shang, L., Heckelei, T., Gerullis, M. K., Börner, J., & Rasch, S. (2021). Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction. Agricultural Systems, 190, 103074. https://doi.org/10.1016/j.agsy.2021.103074

Siregar, R. R. A., Seminar, K. B., Wahjuni, S., & Santosa, E. (2022). Vertical Farming Perspectives in Support of Precision Agriculture Using Artificial Intelligence: A Review. Computers, 11(9), 135. https://doi.org/10.3390/computers11090135

Song, M., Fisher, R., & Kwoh, Y. (2019). Technological challenges of green innovation and sustainable resource management with large scale data. Technological Forecasting and Social Change, 144, 361–368. https://doi.org/10.1016/j.techfore.2018.07.055

Statistics of Boyolali Regency. (2021). Jumlah Kelompok Tani Menurut Jenisnya Dirinci Per Desa Di Kabupaten Boyolali Tahun 2020. Retrieved from https://boyolalikab.bps.go.id/statictable/2021/05/20/1242/jumlah-kelompok-tani-menurut-jenisnya-dirinci-per-desa-di-kabupaten-boyolali-tahun-2020.html

Stræte, E. P., Vik, J., Fuglestad, E. M., Gjefsen, M. D., Melås, A. M., & Søraa, R. A. (2022). Critical support for different stages of innovation in agriculture: What, when, how? Agricultural Systems, 203, 103526. https://doi.org/10.1016/j.agsy.2022.103526

Sulastri. (2023). Smart Greenhouse Development: A Case Study in West Java, Indonesia. In Advanced Technologies and Societal Change (pp. 69–76). Singapore: Springer. https://doi.org/10.1007/978-981-19-8738-0_6

Tutiasri, R. P., Rahmawati, D. H., Rahmawati, A., Febriyanti, S. N., & Kusumajanti, K. (2022). Social Media Utilization in the Yogyakarta Millennial Farmer Community. Advances in Social Science, Education and Humanities Research. Atlantis Press. https://doi.org/10.2991/assehr.k.220705.015

Wang, H., Wang, X., Sarkar, A., & Zhang, F. (2021). How Capital Endowment and Ecological Cognition Affect Environment-Friendly Technology Adoption: A Case of Apple Farmers of Shandong Province, China. International Journal of Environmental Research and Public Health, 18(14), 7571. https://doi.org/10.3390/ijerph18147571

Widiyanti, E., Karsidi, R., Wijaya, M., & Utari, P. (2020). Identity gaps and negotiations among layers of young farmers: Case study in Indonesia. Open Agriculture, 5(1), 361–374. https://doi.org/10.1515/opag-2020-0041

Zscheischler, J., Brunsch, R., Rogga, S., & Scholz, R. W. (2022). Perceived risks and vulnerabilities of employing digitalization and digital data in agriculture – Socially robust orientations from a transdisciplinary process. Journal of Cleaner Production, 358, 132034. https://doi.org/10.1016/j.jclepro.2022.132034

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Published

2023-12-30

How to Cite

Citra Irawan, N., Irham, I., Mulyo, J. H., & Suryantini, A. (2023). Unleashing the Power of Digital Farming: Local Young Farmers’ Perspectives on Sustainable Value Creation. AGRARIS: Journal of Agribusiness and Rural Development Research, 9(2), 316–333. https://doi.org/10.18196/agraris.v9i2.239

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Research Article