Transparency and Traceability in Food Supply Chain Resilience:
A Two-Decade Bibliometric Mapping and Network Analysis (2010–2025)
DOI:
https://doi.org/10.23882/ijdam.26300Keywords:
Traceability, food supply chain, resilience, transparency, blockchain, Internet of things.Abstract
This paper presents a comprehensive bibliometric analysis of 947 peer, reviewed articles dealing with transparency and traceability in resilient food supply chains from 2010 to 2025. The study determines the trends of the publication, main authors, institutions, and thematic keywords by employing the Scopus data and the VOSviewer tool.
This research is different from the previously fragmented review works by filling the scientific gap and coupling the digital, technological, and sustainability aspects. The greatest contribution of the article, in fact, is the staging and the conceptual framework of the field which shows the usage of blockchain, digital innovation, and sustainability as the main sources of resilience along with providing a data, driven basis for research and practice in the future.
References
Behnke, K., & Janssen, M. F. W. H. A. (2020). Boundary conditions for traceability in food supply chains using blockchain technology. International Journal of Information Management, 52, 101969. https://doi.org/10.1016/j.ijinfomgt.2019.05.025
Chadegani, A. A., Salehi, H., Yunus, M. M., Farhadi, H., Fooladi, M., Farhadi, M., & Ebrahim, N. A. (2013). A Comparison between Two Main Academic Literature Collections : Web of Science and Scopus Databases. Asian Social Science, 9(5), p18. https://doi.org/10.5539/ass.v9n5p18
Cobo, M. j., López-Herrera, A. g., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382‑1402. https://doi.org/10.1002/asi.21525
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021a). How to conduct a bibliometric analysis : An overview and guidelines. Journal of Business Research, 133, 285‑296. https://doi.org/10.1016/j.jbusres.2021.04.070
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021b). How to conduct a bibliometric analysis : An overview and guidelines. Journal of Business Research, 133, 285‑296. https://doi.org/10.1016/j.jbusres.2021.04.070
Galvez, J. F., Mejuto, J. C., & Simal-Gandara, J. (2018). Future challenges on the use of blockchain for food traceability analysis. TrAC Trends in Analytical Chemistry, 107, 222‑232. https://doi.org/10.1016/j.trac.2018.08.011
Ivanov, D., & Dolgui, A. (2020). Viability of intertwined supply networks : Extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak. International Journal of Production Research, 58(10), 2904‑2915. https://doi.org/10.1080/00207543.2020.1750727
Kamble, S., Gunasekaran, A., & Arha, H. (2019). Understanding the Blockchain technology adoption in supply chains-Indian context. International Journal of Production Research, 57(7), 2009‑2033. https://doi.org/10.1080/00207543.2018.1518610
Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus : A comparative analysis. Scientometrics, 106(1), 213‑228. https://doi.org/10.1007/s11192-015-1765-5
Queiroz, M. M., Fosso Wamba, S., Chiappetta Jabbour, C. J., Lopes de Sousa Jabbour, A. B., & Machado, M. C. (2025). Adoption of Industry 4.0 technologies by organizations : A maturity levels perspective. Annals of Operations Research, 348(3), 1989‑2015. https://doi.org/10.1007/s10479-022-05006-6
Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M. (2021). Artificial intelligence in supply chain management : A systematic literature review. Journal of Business Research, 122, 502‑517. https://doi.org/10.1016/j.jbusres.2020.09.009
van Eck, N. J., & Waltman, L. (2014). Visualizing Bibliometric Networks. In Y. Ding, R. Rousseau, & D. Wolfram (Éds.), Measuring Scholarly Impact : Methods and Practice (p. 285‑320). Springer International Publishing. https://doi.org/10.1007/978-3-319-10377-8_13
Zupic, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429‑472. https://doi.org/10.1177/1094428114562629
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Copyright (c) 2026 Karima CHTATBI, Mohammed RAJAA

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