Digital Governance in Food Security Systems: Innovation, Transparency, and Risk
Keywords:
Digital governance, Food security systems, Digital innovation, Transparency, Risk managementAbstract
Digital transformation has changed the way governments manage food security systems through the use of data, information technology, and evidence-based governance. However, the extent to which digital governance contributes to strengthening food security systems that are innovative, transparent, and risk-resilient is still debated in the literature. This research aims to analyze the role of digital governance in food security systems by emphasizing the dimensions of innovation, transparency, and risk, especially in the context of ASEAN countries. This study uses a qualitative approach with a type of qualitative content analysis research based on big qualitative data. Secondary data was obtained from Our World in Data which compiled various global indicators related to government effectiveness, institutional transparency, digital innovation, economic stability, and food security and vulnerability indicators. The analysis was carried out descriptively and interpretively through mapping patterns, temporal trends, and comparisons between countries to uncover the relationship between digital governance capacity and food system performance. The results show that countries with higher levels of governance effectiveness and transparency and wider adoption of digital technologies tend to have lower levels of food insecurity and malnutrition, as well as better capacity to manage price risks and economic shocks. However, the findings also indicate that digital innovation does not automatically result in inclusive food security without strong institutional support and adaptive policies. The digital divide, limited bureaucratic capacity, and economic volatility remain key risks that can weaken the positive impact of digitalization. The contribution of this research lies in the development of an integrative analytical framework that links digital governance with food security systems through the lens of innovation, transparency, and risk management. This study enriches the literature by providing comparative evidence based on global data and providing policy implications for strengthening data-based food governance. The limitations of this study include the use of secondary data and qualitative approaches that have not allowed empirical causality testing. Therefore, further research is recommended to adopt a mixed-methods approach, expand the analysis to the subnational level, and explore ethical and inclusivity aspects in the implementation of digital governance in food security systems.
References
Aisyah Pahlevi, N. N., & Santosa, W. (2025). Pengaruh Penggunaan Teknologi Digital Dan Memori Rantai Pasok Terhadap Ketahanan Serta Ketangguhan Rantai Pasok Pada Industri Perbankan Swasta. Journal of Economic, Bussines and Accounting (COSTING), 7(6), 767–780. https://doi.org/10.31539/costing.v7i6.13680
Anser, M. K., Osabohien, R., Olonade, O., Karakara, A. A., Olalekan, I. B., Ashraf, J., & Igbinoba, A. (2021). Impact of ict adoption and governance interaction on food security in West Africa. Sustainability (Switzerland), 13(10). https://doi.org/10.3390/su13105570
Astill, J., Dara, R. A., Campbell, M., Farber, J. M., Fraser, E. D. G., Sharif, S., & Yada, R. Y. (2019). Transparency in food supply chains: A review of enabling technology solutions. Trends in Food Science and Technology, 91, 240–247. https://doi.org/10.1016/j.tifs.2019.07.024
Bekkouche, S., & de-Magistris, T. (2025). Digitalization in the European agri-food supply chain: a scoping review of traceability, transparency, and sustainability. Frontiers in Blockchain, 8. https://doi.org/10.3389/fbloc.2025.1701872
Calment, Victorio, Cindy Kosasih, Claudya, & Joosten. (2024). Penerapan Teknologi Blockchain dalam Meningkatkan Manajemen Rantai Pasokan Perusahaan. Nusantara Journal of Multidisciplinary Science, 2(4), 718–726. https://doi.org/10.60076/njms.v2i4.857
Chandrasekar, A., Clark, S. E., Martin, S., Vanderslott, S., Flores, E. C., Aceituno, D., Barnett, P., Vindrola-Padros, C., & Vera San Juan, N. (2024). Making the most of big qualitative datasets: a living systematic review of analysis methods. Frontiers in Big Data, 7. https://doi.org/10.3389/fdata.2024.1455399
Chiaraluce, G., Bentivoglio, D., Finco, A., Fiore, M., Contò, F., & Galati, A. (2024). Exploring the role of blockchain technology in modern high-value food supply chains: global trends and future research directions. Agricultural and Food Economics, 12(1), 6. https://doi.org/10.1186/s40100-024-00301-1
Clapp, J., & Moseley, W. G. (2020). This food crisis is different: COVID-19 and the fragility of the neoliberal food security order. Journal of Peasant Studies, 47(7), 1393–1417. https://doi.org/10.1080/03066150.2020.1823838
Dayar, M. B., Aulia Daisy Arsy Syafitri, Thalia Damayanti, Ivan Mahendra Wirapradipta, Hafifah Isma Ningrum B., & Jerin Amelia Margaretha. (2024). Digitalisasi Marketing UMKM (Usaha Mikro, Kecil, dan Menengah) Pangan Lokal Desa Mendukung Ketahanan Pangan. International Journal of Community Service Learning, 8(4), 455–466. https://doi.org/10.23887/ijcsl.v8i4.84705
Hasan, Z., Daryanto, H., & Suwarno, S. (2025). A Bibliometric Analysis of Global Research Trends on Food Security Policy: Insights for Sustainable Governance. Jurnal Ilmiah Manajemen Kesatuan, 13(2), 1179–1192. https://doi.org/10.37641/jimkes.v13i2.3272
Herawati, A. R., Yuniningsih, T., & Dwimawanti, I. H. (2023). Assesing the Impact of Digital Technologies on Governance Policies for Food Security: A Case Study of Indonesia. KnE Social Sciences. https://doi.org/10.18502/kss.v8i17.14112
Ibnu, M. (2025). Reposisi BULOG dan Integrasi Empat Dimensi FAO: Model Konseptual danRoadmap Strategis Ketahanan Pangan Nasional Indonesia (Repositioning BULOG and Integrating the Four FAO Dimensions: A ConceptualModel and Strategic Roadmap for Indonesia’s National Food Security). Jurnal Pangan, 34(2), 169–188. https://doi.org/10.33964/jp.v34i2.901
Im, D., Pyo, J., Lee, H., Jung, H., & Ock, M. (2023). Qualitative Research in Healthcare: Data Analysis. Journal of Preventive Medicine and Public Health, 56(2), 100–110. https://doi.org/10.3961/jpmph.22.471
Janssen, M., Charalabidis, Y., & Zuiderwijk, A. (2012). Benefits, Adoption Barriers and Myths of Open Data and Open Government. Information Systems Management, 29(4), 258–268. https://doi.org/10.1080/10580530.2012.716740
Jouanjean, M. A., Casalini, F., Wiseman, L., & Gray, E. (2020). Issues around data governance in the digital transformation of agriculture. Oecd Food, Agriculture and Fisheries Papers, 146. https://policycommons.net/artifacts/4763351/oecd-food-agriculture-and-fisheries-papersissues-around-data-governance-in-the-digital-transformation-of-agriculture/5598276/
Komarudin, D., Mu’minah, S., Praja, S. J., Setiawan, S., & Ruhana, F. (2025). Sistem Pemerintahan Berbasis Elektronik (SPBE) sebagai Instrumen Inovasi Pemerintah Daerah dalam Menjamin Ketahanan Pangan Berkelanjutan. SCIENTIFIC JOURNAL OF REFLECTION : Economic, Accounting, Management and Business, 8(2), 575–583. https://doi.org/10.37481/sjr.v8i2.1092
Lai, M. B., Vergamini, D., & Brunori, G. (2025). Food Supply Chain: A Framework for the Governance of Digital Traceability. Foods, 14(12). https://doi.org/10.3390/foods14122032
Lumbantobing, R. D. H., Ratnayake, R. M. C., Simatupang, T. M., Okdinawati, L., & Mulyono, N. B. (2026). Exploring the digital transformation of risk management in agriculture supply chains through system dynamics. Agriculture & Food Security, 14(1), 41. https://doi.org/10.1186/s40066-025-00560-1
Megavitry, R., Harsono, I., Widodo, I., & Sarungallo, A. S. (2024). Pengukuran Efektivitas Sistem Informasi Pangan dan Keterjangkauan Pangan Sehat terhadap Keamanan Pangan di Indonesia. Jurnal Multidisiplin West Science, 3(03), 334–343. https://doi.org/10.58812/jmws.v3i03.1058
Mergel, I., Edelmann, N., & Haug, N. (2019). Defining digital transformation: Results from expert interviews. Government Information Quarterly, 36(4). https://doi.org/10.1016/j.giq.2019.06.002
Mills, K. A. (2019). Big data for qualitative research. Big Data for Qualitative Research, 1–78. https://doi.org/10.4324/9780429056413
Otter, V., & Robinson, D. (2024). Transparency and changing stakeholder roles in the digital age of sustainable agri-food supply chain networks. Frontiers in Sustainable Food Systems, Volume 8-2024. https://doi.org/10.3389/fsufs.2024.1449684
Qomaruddin, Q., & Sa’diyah, H. (2024). Kajian Teoritis tentang Teknik Analisis Data dalam Penelitian Kualitatif: Perspektif Spradley, Miles dan Huberman. Journal of Management, Accounting, and Administration, 1(2), 77–84. https://doi.org/10.52620/jomaa.v1i2.93
Qureshi, S. (2014). Overcoming Technological Determinism in Understanding the Digital Divide: Where Do We Go From Here? Information Technology for Development, 20(3), 215–217. https://doi.org/10.1080/02681102.2014.930981
Sakharina, I. K., Noor, S. M., Daud, A. A., Widayanti, T., Pratama, W., & Mutaallif, S. (2021). Ketahanan Pangan Dan Budi Daya Pertanian Berkelanjutan Dalam Aspek Hak Asasi Manusia. HERMENEUTIKA : Jurnal Ilmu Hukum, 5(2). https://doi.org/10.33603/hermeneutika.v5i2.5632
Schreier, M. (2024). Qualitative Content Analysis in Practice. Qualitative Content Analysis in Practice. https://doi.org/10.4135/9781529682571
Setiawan, F. A. (2025). Integrasi Big Data Dan Sistem Informasi Geospasial Untuk Meningkatkan Ketahanan Pangan Di Indonesia. Data Sciences Indonesia (DSI), 5(1), 105–118. https://doi.org/10.47709/dsi.v5i1.6287
Suhar, S., Jayanti Yusmah Sari, & Eva Sapitra. (2022). Sistem Informasi Ketahanan Pangan Pada Dinas Ketahanan Pangan Kabupaten Kolaka Berbasis Web. Info Kripto, 16(2), 69–77. https://doi.org/10.56706/ik.v16i2.45
Wahyunengseh, R. D., Hastjarjo, S., Mulyaningsih, T., & Suharto, D. G. (2020). Digital Governance and Digital Divide: A Matrix of the Poor’s Vulnerabilities. Policy & Governance Review, 4(2), 152. https://doi.org/10.30589/pgr.v4i2.296
Woods, M., Paulus, T., Atkins, D. P., & Macklin, R. (2016). Advancing Qualitative Research Using Qualitative Data Analysis Software (QDAS)? Reviewing Potential Versus Practice in Published Studies using ATLAS.ti and NVivo, 1994–2013. Social Science Computer Review, 34(5), 597–617. https://doi.org/10.1177/0894439315596311
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