Application of Blockchain Technology in Agricultural Product Supply Chain: Cite Space Bibliometric Analysis Based on WOS Database

Zhu  Xinyan; Siti Zaleha  Bte Omain; Saleh F. A Khatib; Jingjun  Lei

The application of blockchain technology in the agricultural supply chain is an emerging field that addresses critical issues of transparency, traceability and sustainability. This study aims to explore the current status and trends in this field through a bibliometric analysis using CiteSpace based on data from the Web of Science (WoS) database. Through the use of CiteSpace, this study identifies key research topics, influential publications and emerging trends in the literature on blockchain technology in agricultural supply chains. The methodology of this study includes co-citation analysis, keyword co-occurrence analysis and cluster analysis to depict the intellectual structure and evolution of this research field. The main findings indicate a growing interest in the integration of blockchain to improve traceability, increase supply chain efficiency and ensure food safety. Key research clusters focus on the challenges of blockchain implementation, case studies of successful blockchain adoption and the impact on supply chain sustainability. This analysis reveals significant gaps in the literature, particularly in the areas of blockchain scalability and regulatory frameworks. The study suggests further research to fill these gaps, emphasizing the need for interdisciplinary approaches and real-world application studies. This study provides a comprehensive overview of the current research landscape and provides valuable insights for researchers and practitioners looking to utilize blockchain technology in agricultural supply chains.

Akella, G. K., Wibowo, S., Grandhi, S., & Mubarak, S. (2023). A Systematic Review of Blockchain Technology Adoption Barriers and Enablers for Smart and Sustainable Agriculture. Big Data and Cognitive Computing, 7(2), Article 86. https://doi.org/10.3390/bdcc7020086
Altarturi, H. H. M., Nor, A. R. M., Jaafar, N. I., & Anuar, N. B. (2023). A bibliometric and content analysis of technological advancement applications in agricultural e-commerce. Electronic Commerce Research. https://doi.org/10.1007/s10660-023-09670-z
Amiri-Zarandi, M., Dara, R. A., Duncan, E., & Fraser, E. D. G. (2022). Big Data Privacy in Smart Farming: A Review. Sustainability, 14(15), Article 9120. https://doi.org/10.3390/su14159120
Bai, Y. H., Yang, Z. D., Huang, M. M., Hu, M. J., Chen, S. Y., & Luo, J. L. (2023). How can blockchain technology promote food safety in agricultural market?-an evolutionary game analysis. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-023-28780-7
Cao, Y., Yi, C. Q., Wan, G. Y., Hu, H. L., Li, Q. S., & Wang, S. Y. (2022). An analysis on the role of blockchain-based platforms in agricultural supply chains. Transportation Research Part E-Logistics and Transportation Review, 163, Article 102731. https://doi.org/10.1016/j.tre.2022.102731
Chandan, A., John, M., & Potdar, V. (2023). Achieving UN SDGs in Food Supply Chain Using Blockchain Technology. Sustainability, 15(3), Article 2109. https://doi.org/10.3390/su15032109
Chen, H. F., & Yin, L. (2023). Research on the Coordination of Fresh Food Supply Chain Based on the Perspective of Blockchain and Low Carbon. Discrete Dynamics in Nature and Society, 2023, Article 6156039. https://doi.org/10.1155/2023/6156039
Chen, I. J., & Paulraj, A. (2004). Understanding supply chain management: critical research and a theoretical framework. International journal of production research, 42(1), 131-163.
Chen, Y. Y., Li, Y., & Li, C. J. (2020). Electronic agriculture, blockchain and digital agricultural democratization: Origin, theory and application. Journal of cleaner production, 268, Article 122071. https://doi.org/10.1016/j.jclepro.2020.122071
Das, P., Singh, M., Karras, D. A., & Roy, D. G. (2023). Block-A-City: An Agricultural Application Framework Using Blockchain for Next-Generation Smart Cities. IETE Journal of Research. https://doi.org/10.1080/03772063.2022.2162982
Dayana, D. S., & Kalpana, G. (2022). Augmented System for Food Crops Production in Agricultural Supply Chain using Blockchain Technology. International Journal of Advanced Computer Science and Applications, 13(4), 579-589. https://doi.org/10.14569/ijacsa.2022.0130468
Ellram, L. M., & Cooper, M. C. (1990). Supply chain management, partnership, and the shipper-third party relationship. The international journal of logistics management, 1(2), 1-10.
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
Gan, W., & Huang, B. (2022). Exploring Data Integrity of Dual-Channel Supply Chain Using Blockchain Technology. Computational Intelligence and Neuroscience, 2022, Article 3838282. https://doi.org/10.1155/2022/3838282
Guo, J. L., Cengiz, K., & Tomar, R. (2021). AN IOT AND BLOCKCHAIN APPROACH FOR FOOD TRACEABILITY SYSTEM IN AGRICULTURE. Scalable Computing-Practice and Experience, 22(2), 127-137. https://doi.org/10.12694/scpe.v22i2.1876
Hong, J., Zhang, Y., & Ding, M. (2018). Sustainable supply chain management practices, supply chain dynamic capabilities, and enterprise performance. Journal of cleaner production, 172, 3508-3519.
Hu, S. S., Huang, S., Huang, J., & Su, J. F. (2021). Blockchain and edge computing technology enabling organic agricultural supply chain: A framework solution to trust crisis. Computers & Industrial Engineering, 153, Article 107079. https://doi.org/10.1016/j.cie.2020.107079
Jennath, H. S., Adarsh, S., & Anoop, V. S. (2019). Distributed IoT and Applications: A Survey. In A. N. Krishna, K. C. Srikantaiah, & C. Naveena (Eds.), Integrated Intelligent Computing, Communication and Security (Vol. 771, pp. 333-341). https://doi.org/10.1007/978-981-10-8797-4_35
Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2020). Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications. International journal of production economics, 219, 179-194. https://doi.org/10.1016/j.ijpe.2019.05.022
Khan, A. A., Shaikh, Z. A., Belinskaja, L., Baitenova, L., Vlasova, Y., Gerzelieva, Z., Laghari, A. A., Abro, A. A., & Barykin, S. (2022). A Blockchain and Metaheuristic-Enabled Distributed Architecture for Smart Agricultural Analysis and Ledger Preservation Solution: A Collaborative Approach. Applied Sciences-Basel, 12(3), Article 1487. https://doi.org/10.3390/app12031487
Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda. Njas-Wageningen Journal of Life Sciences, 90-91, Article 100315. https://doi.org/10.1016/j.njas.2019.100315
Kowalska, A., & Bieniek, M. (2022). Meeting the European green deal objective of expanding organic farming. Equilibrium. Quarterly Journal of Economics and Economic Policy, 17(3), 607-633. https://doi.org/10.24136/eq.2022.021
Ktari, J., Frikha, T., Chaabane, F., Hamdi, M., & Hamam, H. (2022). Agricultural Lightweight Embedded Blockchain System: A Case Study in Olive Oil. Electronics, 11(20), Article 3394. https://doi.org/10.3390/electronics11203394
Kumari, B. M. K., Arora, M., AlZubi, A. A., Verma, A., & Andrzej, S. (2023). Application of Blockchain and Internet of Things (IoT) in the Food and Beverage Industry. Pacific Business Review International, 15(10), 50-59. ://WOS:000998093000005
Lee, N. M., Varshney, L. R., Michelson, H. C., Goldsmith, P., & Davis, A. (2022). Digital trust substitution technologies to support smallholder livelihoods in Sub-Saharan Africa. Global Food Security-Agriculture Policy Economics and Environment, 32, Article 100604. https://doi.org/10.1016/j.gfs.2021.100604
Leng, K. J., Bi, Y., Jing, L. B., Fu, H. C., & Van Nieuwenhuyse, I. (2018). Research on agricultural supply chain system with double chain architecture based on blockchain technology. Future Generation Computer Systems-the International Journal of Escience, 86, 641-649. https://doi.org/10.1016/j.future.2018.04.061
Lezoche, M., Hernandez, J. E., Díaz, M., Panetto, H., & Kacprzyk, J. (2020). Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture. Computers in Industry, 117, Article 103187. https://doi.org/10.1016/j.compind.2020.103187
Li, H. P., Luo, J., & Zhou, G. Z. (2023). Application of blockchain technology based on big data analysis in sustainable agriculture. Agronomy Journal, 115(1), 81-95. https://doi.org/10.1002/agj2.21105
Li, Y. T., Tan, C. Q., Ip, W. H., & Wu, C. (2023). Dynamic blockchain adoption for freshness-keeping in the fresh agricultural product supply chain. Expert Systems with Applications, 217, Article 119494. https://doi.org/10.1016/j.eswa.2022.119494
Lin, W. J., Huang, X. H., Fang, H., Wang, V., Hua, Y. N., Wang, J. J., Yin, H. N., Yi, D. W., & Yau, L. H. (2020). Blockchain Technology in Current Agricultural Systems: From Techniques to Applications. IEEE Access, 8, 143920-143937. https://doi.org/10.1109/access.2020.3014522
Liu, Y., Ma, X. Y., 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
Luo, Q. Q., Liao, R. Z., Li, J. W., Ye, X. Y., & Chen, S. Q. (2022). Blockchain Enabled Credibility Applications: Extant Issues, Frameworks and Cases. IEEE Access, 10, 45759-45771. https://doi.org/10.1109/access.2022.3150306
Luo, Z. Y., Zhu, J. Y., Sun, T. T., Liu, Y. R., Ren, S. H., Tong, H. H., Yu, L., Fei, X. C., & Yin, K. (2022). Application of the IoT in the Food Supply Chain-From the Perspective of Carbon Mitigation. Environmental Science & Technology. https://doi.org/10.1021/acs.est.2c02117
Lv, G. J., Song, C. X., Xu, P. M., Qi, Z. G., Song, H. Y., & Liu, Y. (2023). Blockchain-Based Traceability for Agricultural Products: A Systematic Literature Review. Agriculture-Basel, 13(9), Article 1757. https://doi.org/10.3390/agriculture13091757
Marshall, A., Turner, K., Richards, C., Foth, M., & Dezuanni, M. (2022, Apr). Critical factors of digital AgTech adoption on Australian farms: from digital to data divide. Information Communication & Society, 25(6), 868-886. https://doi.org/10.1080/1369118x.2022.2056712
Miller, T., Cao, S. F., Foth, M., Boyen, X., & Powell, W. (2023). An asset-backed decentralised finance instrument for food supply chains - A case study from the livestock export industry. Computers in Industry, 147, Article 103863. https://doi.org/10.1016/j.compind.2023.103863
Mukherjee, A. A., Singh, R. K., Mishra, R., & Bag, S. (2022). Application of blockchain technology for sustainability development in agricultural supply chain: justification framework. Operations Management Research, 15(1-2), 46-61. https://doi.org/10.1007/s12063-021-00180-5
Peng, X. Z., Zhang, X., Wang, X. Y., Li, H. S., Xu, J. P., & Zhao, Z. Y. (2022). Construction of rice supply chain supervision model driven by blockchain smart contract. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-25559-7
Raza, Z., Ul Haq, I., & Muneeb, M. (2023). Agri-4-All: A Framework for Blockchain Based Agricultural Food Supply Chains in the Era of Fourth Industrial Revolution. IEEE Access, 11, 29851-29867. https://doi.org/10.1109/access.2023.3259962
Salah, K., Nizamuddin, N., Jayaraman, R., & Omar, M. (2019). Blockchain-Based Soybean Traceability in Agricultural Supply Chain. IEEE Access, 7, 73295-73305. https://doi.org/10.1109/access.2019.2918000
Scuderi, A., La Via, G., Timpanaro, G., & Sturiale, L. (2022). The Digital Applications of "Agriculture 4.0": Strategic Opportunity for the Development of the Italian Citrus Chain. Agriculture-Basel, 12(3), Article 400. https://doi.org/10.3390/agriculture12030400
Sharma, R., Kamble, S. S., Gunasekaran, A., Kumar, V., & Kumar, A. (2020). A systematic literature review on machine learning applications for sustainable agriculture supply chain performance. Computers & Operations Research, 119, Article 104926. https://doi.org/10.1016/j.cor.2020.104926
Shreya, S., Chatterjee, K., & Singh, A. (2023). BFSF: A secure IoT based framework for smart farming using blockchain. Sustainable Computing-Informatics & Systems, 40, Article 100917. https://doi.org/10.1016/j.suscom.2023.100917
Song, L. A., Luo, Y. Q., Chang, Z. X., Jin, C. H., & Nicolas, M. (2022). Blockchain Adoption in Agricultural Supply Chain for Better Sustainability: A Game Theory Perspective. Sustainability, 14(3), Article 1470. https://doi.org/10.3390/su14031470
Su, L. M., & Cao, Y. C. (2023). Dynamic Evolutionary Game Approach for Blockchain-Driven Incentive and Restraint Mechanism in Supply Chain Financing. Systems, 11(8), Article 406. https://doi.org/10.3390/systems11080406
Sung, Y., Yu, S., & Won, Y. (2022). Blockchain Token-Based Wild-Simulated Ginseng Quality Management Method. Sensors, 22(14), Article 5153. https://doi.org/10.3390/s22145153
Tan, Y. H., Huang, X. Y., & Li, W. (2023). Does blockchain-based traceability system guarantee information authenticity? An evolutionary game approach. International journal of production economics, 264, Article 108974.
https://doi.org/10.1016/j.ijpe.2023.108974
Wang, L. K., Qi, C. J., Jiang, P., & Xiang, S. (2022). The Impact of Blockchain Application on the Qualification Rate and Circulation Efficiency of Agricultural Products: A Simulation Analysis with Agent-Based Modelling. International Journal of Environmental Research and Public Health, 19(13), Article 7686. https://doi.org/10.3390/ijerph19137686
Wang, R. K., & Chen, X. (2022). Research on Agricultural Product Traceability Technology (Economic Value) Based on Information Supervision and Cloud Computing. Computational Intelligence and Neuroscience, 2022, Article 4687639. https://doi.org/10.1155/2022/4687639
Wu, Y. T., Jin, X., Yang, H. G., Tu, L. J., Ye, Y., & Li, S. W. (2022). Blockchain-Based Internet of Things: Machine Learning Tea Sensing Trusted Traceability System. Journal of Sensors, 2022, Article 8618230. https://doi.org/10.1155/2022/8618230
Xie, Z. J., Kong, H., & Wang, B. (2022). Dual-Chain Blockchain in Agricultural E-Commerce Information Traceability Considering the Viniar Algorithm. Scientific Programming, 2022, Article 2604216. https://doi.org/10.1155/2022/2604216
Xiong, H., Dalhaus, T., Wang, P. Q., & Huang, J. J. (2020). Blockchain Technology for Agriculture: Applications and Rationale. Frontiers in Blockchain, 3, Article 7. https://doi.org/10.3389/fbloc.2020.00007
Yadav, V. S., Singh, A. R., Raut, R. D., & Govindarajan, U. H. (2020). Blockchain technology adoption barriers in the Indian agricultural supply chain: an integrated approach. Resources Conservation and Recycling, 161, Article 104877. https://doi.org/10.1016/j.resconrec.2020.104877
Yadav, V. S., Singh, A. R., Raut, R. D., Mangla, S. K., Luthra, S., & Kumar, A. (2022). Exploring the application of Industry 4.0 technologies in the agricultural food supply chain: A systematic literature review. Computers & Industrial Engineering, 169, Article 108304. https://doi.org/10.1016/j.cie.2022.108304
Yang, W. X., Xie, C. L., & Ma, L. D. (2023). Dose blockchain-based agri-food supply chain guarantee the initial information authenticity? An evolutionary game perspective. Plos One, 18(6), Article e0286886. https://doi.org/10.1371/journal.pone.0286886
Zhang, L. J., Zeng, W. M., Jin, Z. L., Su, Y. S., & Chen, H. L. (2021). A Research on Traceability Technology of Agricultural Products Supply Chain Based on Blockchain and IPFS. Security and Communication Networks, 2021, Article 3298514. https://doi.org/10.1155/2021/3298514

(Xinyan et al., 2024)
Xinyan, Z., Omain, S. Z. B., Khatib, S. F. A., & Lei, J. (2024). Application of Blockchain Technology in Agricultural Product Supply Chain: Cite Space Bibliometric Analysis Based on WOS Database. International Journal of Academic Research in Economics and Management and Sciences, 13(2), 487–509.

Copyright: © 2024 The Author(s)
Published by HRMARS (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seenavc at: http://creativecommons.org/licences/by/4.0/legalcode

International Journal of Academic Research in Economics and Management Sciences

Open Access Journal

Application of Blockchain Technology in Agricultural Product Supply Chain: Cite Space Bibliometric Analysis Based on WOS Database

Zhu Xinyan, Siti Zaleha Bte Omain, Saleh F. A Khatib, Jingjun Lei

Further Information

Our Journals

Get intouch with us