How blockchain improves the supply chain: Case study alimentary supply chain
Open accessAbstract
Current supply chain is a linear economy model that directly or indirectly fulfills supply needs. But this model has some disadvantages, such as the relationships between the members of the supply chain or the lack of information for the consumer about the origin of the products. In this paper we propose a new model of supply chain via blockchain. This new model enables the concept of circular economy and eliminates many of the disadvantages of the current supply chain. In order to coordinate all the transactions that take place in the supply chain a multi-agent system is created for this paper.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Four out of 10 articles in the first cluster are strongly focused on using blockchain for product traceability in food chains.
“some of the articles of the first cluster (i.e., four out of 10) are strongly focused on the use of blockchain technology, with the aim of ensuring product traceability in food chains [45,75,77,82].”
From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [45]
The remaining papers of cluster C1 present platforms proposed only at a concept level.
“The remaining papers of cluster C 1 present platforms that are proposed only at a concept level [45,75,77,83].”
From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [45]
Some documents in macro-clusters C1 and C2 propose new platforms just at a concept level.
“Some of them propose new platforms just at a concept level [45,51,52,75,77,83,84,88,89,91], some of them present proofs of their concepts [76,79,81], and only three of them present a real implementation based on real blockchains: [78,80,82].”
From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [45]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
2 retracted
Vara, R. C., González‐Briones, A., Prieto, J., & Corchado, J. M. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-94120-2_49 · Cited by 71 · see citing works
RetractedRETRACTED CHAPTER: How Blockchain Could Improve Fraud Detection in Power Distribution Grid
Vara, R. C., Prieto, J., & Corchado, J. M. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-94120-2_7 · Cited by 35 · see citing works
RetractedBitcoin: A Peer-to-Peer Electronic Cash SystemPreprint
Squarepants, S. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.3977007 · Cited by 11,146 · see citing works
Intelligent agents: theory and practice
Wooldridge, M., & Jennings, N. R. (1995) · The Knowledge Engineering Review · doi:10.1017/s0269888900008122 · Cited by 6,810 · see citing works
Aitzhan, N. Z., & Svetinovic, D. (2018) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2016.2616861 · Cited by 1,297 · see citing works
Mastering Bitcoin: Unlocking Digital Crypto-Currencies
Antonopoulos, A. M. (2014) · Cited by 867 · see citing works
Towards blockchain-based intelligent transportation systems
Yuan, Y., & Wang, F.-Y. (2016) · 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2016.7795984 · Cited by 671 · see citing works
A polarity analysis framework for Twitter messages
Lima, A. C. E. S., de Castro, L. N., & Corchado, J. M. (2015) · Applied Mathematics and Computation · doi:10.1016/j.amc.2015.08.059 · Cited by 135 · see citing works
Intelligent business processes composition based on multi-agent systems
Coria, J. A. G., Castellanos-Garzón, J. A., & Corchado, J. M. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.08.003 · Cited by 110 · see citing works
Hybrid multi-agent architecture as a real-time problem-solving model
Carrascosa, C., Bajo, J., Julián, V., Corchado, J. M., & Botti, V. J. (2006) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.08.031 · Cited by 109 · see citing works
Algorithm design for parallel implementation of the SMC-PHD filter
Li, T., Sun, S., Bolić, M., & Corchado, J. M. (2015) · Signal Processing · doi:10.1016/j.sigpro.2015.07.013 · Cited by 106 · see citing works
Tapia, D. I., Fraile, J. A., Rodrı́guez, S., Alonso, R. S., & Corchado, J. M. (2011) · Information Sciences · doi:10.1016/j.ins.2011.05.002 · Cited by 99 · see citing works
Increased performance and better patient attendance in an hospital with the use of smart agendas
Costa, Â., Nováis, P., Corchado, J. M., & Neves, J. (2011) · Logic Journal of IGPL · doi:10.1093/jigpal/jzr021 · Cited by 82 · see citing works
A particle dyeing approach for track continuity for the SMC-PHD filter
Li, T., Sun, S., Corchado, J. M., & Siyau, M. F. (2014) · Cited by 82 · see citing works
A multi-agent system for the classification of gender and age from images
González‐Briones, A., González, G. V., Paz, J. F. D., & Corchado, J. M. (2018) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2018.01.012 · Cited by 55 · see citing works
Random finite set-based Bayesian filters using magnitude-adaptive target birth intensity
Li, T., Sun, S., Corchado, J. M., & Siyau, M. F. (2014) · Cited by 53 · see citing works
Agents and Computer Vision for Processing Stereoscopic Images
Rodrı́guez, S., la Prieta, F. D., Tapia, D. I., & Corchado, J. M. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-13803-4_12 · Cited by 50 · see citing works
A Hash Based Image Matching Algorithm for Social Networks
Chamoso, P., Rivas, A., Martín-Limorti, J. J., & Rodrı́guez, S. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-61578-3_18 · Cited by 50 · see citing works
Neuro-symbolic System for Business Internal Control
Corchado, J. M., Borrajo, L., Pellicer, M. A., & Yáñez, J. C. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30185-1_1 · Cited by 47 · see citing works
CONNECT: CONtextual NamE disCovery for blockchain-based services in the IoT
Daza, V., Pietro, R. D., Klimek, I., & Signorini, M. (2017) · International Conference on Communications · doi:10.1109/icc.2017.7996641 · Cited by 47 · see citing works
Bladder Carcinoma Data with Clinical Risk Factors and Molecular Markers: A Cluster Analysis
González, E. R., de Castro, L. N., Sierra, J. M., Casas, M. L. M. D. L., Vera, V., Ferrari, D. G., & Corchado, J. M. (2015) · BioMed Research International · doi:10.1155/2015/168682 · Cited by 46 · see citing works
A Multi-Agent Extension of a Hierarchical Task Network Planning Formalism
Cardoso, R. C., & Bordini, R. H. (2017) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij201762517 · Cited by 45 · see citing works
Sustainable Interdependent Networks
Amini, M. H., Boroojeni, K. G., Iyengar, S. S., Pardalos, P. M., Blaabjerg, F., & Madni, A. M. (2018) · Studies in systems, decision and control · doi:10.1007/978-3-319-74412-4 · Cited by 44 · see citing works
A Multi-agent System Approach to Load-Balancing and Resource Allocation for Distributed Computing
Banerjee, S., & Hecker, J. P. (2016) · Springer proceedings in complexity · doi:10.1007/978-3-319-45901-1_4 · Cited by 41 · see citing works
Decentralized Coalition Formation with Agent-based Combinatorial Heuristics
Bremer, J., & Lehnhoff, S. (2017) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij2017632944 · Cited by 39 · see citing works
Đurić, B. O. (2017) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij2017631727 · Cited by 33 · see citing works
Enabling Communications in Heterogeneous Multi-Agent Systems: Electricity Markets Ontology
Santos, G., Pinto, T. D. O., Vale, Z., Praça, I., & Morais, H. G. V. (2016) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij2016522542 · Cited by 32 · see citing works
Organization-based Multi-Agent structure of the Smart Home Electricity System
Gazafroudi, A. S., Pinto, T. D. O., Prieto‐Castrillo, F., Prieto, J., Corchado, J. M., Jozi, A., Vale, Z., & Venayagamoorthy, G. K. (2017) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2017.7969458 · Cited by 32 · see citing works
Blockchain for Democratic Voting: How Blockchain Could Cast off Voter Fraud
Vara, R. C., & Corchado, J. M. (2018) · Oriental journal of computer science and technology · doi:10.13005/ojcst11.01.01 · Cited by 32 · see citing works
Linguistic Models at the Crossroads of Agents, Learning and Formal Languages
Becerra-Bonache, L., & Jiménez‐López, M. D. (2014) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij2014346787 · Cited by 23 · see citing works
Decentralized Control of DR Using a Multi-agent Method
Najafi, S., Talari, S., Gazafroudi, A. S., Shafie‐khah, M., Corchado, J. M., & Catalào, J. P. S. (2018) · Studies in systems, decision and control · doi:10.1007/978-3-319-74412-4_13 · Cited by 20 · see citing works
Obtaining Relevant Genes by Analysis of Expression Arrays with a Multi-agent System
González‐Briones, A., Ramos, J., Paz, J. F. D., & Corchado, J. M. (2015) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-19776-0_15 · Cited by 17 · see citing works
Multi-agent system for Knowledge-based recommendation of Learning Objects
Marín, P. A. R., Duque, N., & Ovalle, D. A. (2015) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij2015418089 · Cited by 16 · see citing works
Obtaining Relevant Genes by Analysis of Expression Arrays with a Multi-Agent System
González‐Briones, A., Ramos, J., Paz, J. F. D., & Corchado, J. M. (2015) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij2014333542 · Cited by 8 · see citing works
Flagged first, then by citations
1 of the 35 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Antonopoulos A. M., Mastering Bitcoin: Unlocking Digital Cryptocurrencies, 1st ed. Sebastopol, CA, USA: O'Reilly Media, Inc., 2014
- Gazafroudi, A. S., Pinto, T., Prieto-Castrillo, F., Prieto, J., Corchado, J. M., Jozi, A., and Venayagamoorthy, G. K. (2017, June). Organization- based multi-agent structure of the smart home electricity system. In Evolutionary Computation (CEC), 2017 IEEE Congress on (pp. 1327- 1334). IEEE (2018).
Cited by
Sorted by citations
Blockchain for the future of sustainable supply chain management in Industry 4.0
Esmaeilian, B., Sarkis, J., Lewis, K. E., & Behdad, S. (2020) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2020.105064 · Cited by 896 · see citing works
Blockchain smart contracts: Applications, challenges, and future trends
Khan, S. N., Loukil, F., Ghedira-Guegan, C., Benkhelifa, E., & Bani-Hani, A. I. (2021) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-021-01127-0 · Cited by 907 · see citing works
Blockchain technology for bridging trust, traceability and transparency in circular supply chain
Centobelli, P., Cerchione, R., Vecchio, P. D., Oropallo, E., & Secundo, G. (2021) · Information & Management · doi:10.1016/j.im.2021.103508 · Cited by 888 · see citing works
A supply chain transparency and sustainability technology appraisal model for blockchain technology
Bai, C. A., & Sarkis, J. (2020) · International Journal of Production Research · doi:10.1080/00207543.2019.1708989 · Cited by 686 · see citing works
Friha, O., Ferrag, M. A., Shu, L., Maglaras, L. A., & Wang, X. (2021) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2021.1003925 · Cited by 639 · see citing works
Mistry, I., Tanwar, S., Tyagi, S., & Kumar, N. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.106382 · Cited by 585 · see citing works
Precision farming at the nexus of agricultural production and the environment
Finger, R., Swinton, S. M., El Benni, N., & Walter, A. (2019) · Annual Review of Resource Economics · doi:10.1146/annurev-resource-100518-093929 · Cited by 539 · see citing works
Blockchain and the circular economy: potential tensions and critical reflections from practice
Kouhizadeh, M., Zhu, Q., & Sarkis, J. (2019) · Production Planning & Control · doi:10.1080/09537287.2019.1695925 · Cited by 515 · see citing works
Vaio, A. D., & Varriale, L. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.09.010 · Cited by 475 · see citing works
Blockchain-based food supply chain traceability: a case study in the dairy sector
Casino, F., Kanakaris, V., Dasaklis, T. K., Moschuris, S. J., Stachtiaris, S., Pagoni, M. N., & Rachaniotis, N. P. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1789238 · Cited by 418 · see citing works
Blockchain: case studies in food supply chain visibility
Rogerson, M., & Parry, G. (2020) · Supply Chain Management An International Journal · doi:10.1108/scm-08-2019-0300 · Cited by 416 · see citing works
Blockchain in Agriculture Traceability Systems: A Review
Demestichas, K. P., Πεππές, Ν., Alexakis, T., & Adamopoulou, E. F. (2020) · Applied Sciences · doi:10.3390/app10124113 · Cited by 415 · see citing works
Kumar, S., Raut, R. D., Nayal, K., Kraus, S., Yadav, V. S., & Narkhede, B. E. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.126023 · Cited by 415 · see citing works
Torky, M. F., & Hassanein, A. E. (2020) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2020.105476 · Cited by 408 · see citing works
A review on blockchain applications in the agri‐food sector
Antonucci, F., Figorilli, S., Costa, C., Pallottino, F., Raso, L., & Menesatti, P. (2019) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.9912 · Cited by 369 · see citing works
Friedman, N., & Ormiston, J. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121403 · Cited by 368 · see citing works
A Content-Analysis Based Literature Review in Blockchain Adoption within Food Supply Chain
Duan, J., Zhang, C., Gong, Y., Brown, S., & Li, Z. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17051784 · Cited by 367 · see citing works
Blockchain applications–Usage in different domains
Abou Jaoude, J., & George Saade, R. (2019) · IEEE Access · doi:10.1109/access.2019.2902501 · Cited by 376 · see citing works
How the blockchain enables and constrains supply chain performance
Hald, K. S., & Kinra, A. (2019) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/ijpdlm-02-2019-0063 · Cited by 323 · see citing works
Mathivathanan, D., Mathiyazhagan, K., Rana, N. P., Khorana, S., & Dwivedi, Y. K. (2021) · International Journal of Production Research · doi:10.1080/00207543.2020.1868597 · Cited by 316 · see citing works
Khan, P. W., Byun, Y.-C., & Park, N. (2020) · Sensors · doi:10.3390/s20102990 · Cited by 301 · see citing works
Blockchain and Artificial Intelligence Technology in E-Health
Tagde, P., Tagde, S., Bhattacharya, T., Tagde, P., Chopra, H., Akter, R., Kaushik, D., & Rahman, M. H. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-16223-0 · Cited by 281 · see citing works
Real-time supply chain—A blockchain architecture for project deliveries
Helo, P., & Shamsuzzoha, A. (2019) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2019.101909 · Cited by 299 · see citing works
Smart Contracts on the Blockchain – A Bibliometric Analysis and Review
Ante, L. (2020) · Telematics and Informatics · doi:10.1016/j.tele.2020.101519 · Cited by 281 · see citing works
Aslam, J., Saleem, A., Khan, N. T., & Kim, Y. B. (2021) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2021.01.002 · Cited by 254 · see citing works
Blockchain technologies as enablers of supply chain mapping for sustainable supply chains
Khan, S. A., Mubarik, M. S., Kusi‐Sarpong, S., Gupta, H., Zaman, S. I., & Mubarik, M. (2022) · Business Strategy and the Environment · doi:10.1002/bse.3029 · Cited by 250 · see citing works
At the Nexus of Blockchain Technology, the Circular Economy, and Product Deletion
Kouhizadeh, M., Sarkis, J., & Zhu, Q. (2019) · Applied Sciences · doi:10.3390/app9081712 · Cited by 219 · see citing works
Blockchain-enabled circular supply chain management: A system architecture for fast fashion
Wang, B., Luo, W., Zhang, A., Tian, Z., & Li, Z. (2020) · Computers in Industry · doi:10.1016/j.compind.2020.103324 · Cited by 223 · see citing works
Musigmann, B., von der Gracht, H. A., & Hartmann, E. (2020) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2020.2980733 · Cited by 227 · see citing works
S2HS- A blockchain based approach for smart healthcare system
Tripathi, G., Ahad, M. A., & Paiva, S. (2019) · Healthcare · doi:10.1016/j.hjdsi.2019.100391 · Cited by 222 · see citing works
Agent-based Internet of Things: State-of-the-art and research challenges
Savaglio, C., Ganzha, M., Paprzycki, M., Bădică, C., Ivanović, M. D., & Fortino, G. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.09.016 · Cited by 216 · see citing works
Supply chain management 4.0: a literature review and research framework
Zekhnini, K., Cherrafi, A., Bouhaddou, I., Benghabrit, Y., & Garza‐Reyes, J. A. (2020) · Benchmarking An International Journal · doi:10.1108/bij-04-2020-0156 · Cited by 216 · see citing works
Blockchain as supply chain technology: considering transparency and security
Xu, P., Lee, J., Barth, J. R., & Richey, R. G., Jr. (2021) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/ijpdlm-08-2019-0234 · Cited by 210 · see citing works
The blockchain technology and the scope of its application in hospitality operations
Filimonau, V., & Naumova, E. (2019) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2019.102383 · Cited by 199 · see citing works
Niknejad, N., Ismail, W., Bahari, M., Hendradi, R., & Salleh, A. Z. (2020) · Environmental Technology & Innovation · doi:10.1016/j.eti.2020.101272 · Cited by 194 · see citing works
A Review of Blockchain-Based Systems in Transportation
Astarita, V., Giofrè, V. P., Mirabelli, G., & Solina, V. (2019) · Information · doi:10.3390/info11010021 · Cited by 180 · see citing works
Modeling food supply chain traceability based on blockchain technology
Casino, F., Kanakaris, V., Dasaklis, T. K., Moschuris, S. J., & Rachaniotis, N. P. (2019) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2019.11.620 · Cited by 178 · see citing works
Intelligent manufacturing execution systems: A systematic review
Shojaeinasab, A., Charter, T., Jalayer, M., Khadivi, M., Ogunfowora, O., Raiyani, N., Yaghoubi, M., & Najjaran, H. (2022) · Journal of manufacturing systems · doi:10.1016/j.jmsy.2022.01.004 · Cited by 167 · see citing works
Blockchain for Modern Applications: A Survey
Krichen, M., Ammi, M., Mihoub, A., & Almutiq, M. (2022) · Sensors · doi:10.3390/s22145274 · Cited by 196 · see citing works
Hu, H., Xu, J., Liu, M., & Lim, M. K. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.113480 · Cited by 189 · see citing works
Achieving a sustainable shipbuilding supply chain under I4.0 perspective
Ramírez-Peña, M., Sotano, A. J. S., Pérez-Fernández, V., Abad, F. J., & Batista, M. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.118789 · Cited by 169 · see citing works
Mangla, S. K., Kazançoğlu, Y., Yıldızbaşı, A., Öztürk, C., & Çalık, A. (2022) · Business Strategy and the Environment · doi:10.1002/bse.3027 · Cited by 170 · see citing works
Change, I. P. O. C. (2022) · Cambridge University Press eBooks · doi:10.1017/9781009157988.007 · Cited by 193 · see citing works
The blockchain-enabled technology and carbon performance: Insights from early adopters
Fernando, Y., Rozuar, N. H. M., & Mergeresa, F. (2021) · Technology in Society · doi:10.1016/j.techsoc.2020.101507 · Cited by 171 · see citing works
Spanaki, K., Karafili, E., Sivarajah, U., Despoudi, S., & Irani, Z. (2021) · Production Planning & Control · doi:10.1080/09537287.2021.1882688 · Cited by 164 · see citing works
Ensure Traceability in European Food Supply Chain by Using a Blockchain System
Baralla, G., Pinna, A., & Corrias, G. (2019) · IEEE/ACM International Workshop on Emerging Trends in Software Engineering for Blockchain (WETSEB) · doi:10.1109/wetseb.2019.00012 · Cited by 160 · see citing works
Baralla, G., Pinna, A., Tonelli, R., Marchesi, M., & Ibba, S. (2020) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.5857 · Cited by 163 · see citing works
Munir, A., Habib, M. S., Hussain, A., Shahbaz, M. A., Qamar, A., Masood, T., Sultan, M. A., Mujtaba, M. A., Imran, S., Hasan, M., et al. (2022) · Frontiers in Energy Research · doi:10.3389/fenrg.2022.899632 · Cited by 155 · see citing works
Evaluating the feasibility of blockchain in logistics operations: A decision framework
Ar, İ. M., Erol, İ., Peker, İ., Özdemir, A. İ., Medeni, T. D., & Medeni, İ. T. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.113543 · Cited by 147 · see citing works
Cost analysis and optimization of Blockchain-based solid waste management traceability system
Gopalakrishnan, P. K., Hall, J., & Behdad, S. (2020) · Waste Management · doi:10.1016/j.wasman.2020.10.027 · Cited by 145 · see citing works
The intersection of blockchain technology and circular economy in the agri-food sector
Pakseresht, A., Yavari, A., Kaliji, S. A., & Hakelius, K. (2022) · Sustainable Production and Consumption · doi:10.1016/j.spc.2022.11.002 · Cited by 147 · see citing works
Blockchain Technology, Supply Chain Information, and Strategic Product Deletion Management
Zhu, Q., & Kouhizadeh, M. (2019) · IEEE Engineering Management Review · doi:10.1109/emr.2019.2898178 · Cited by 149 · see citing works
Blockchain Technology Application Challenges in Renewable Energy Supply Chain Management
Almutairi, K., Dehshiri, S. J. H., Dehshiri, S. S. H., Hoa, A. X., Dhanraj, J. A., Mostafaeipour, A., Issakhov, A., & Techato, K. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-18311-7 · Cited by 140 · see citing works
The use of blockchain in the luxury industry: supply chains and the traceability of goods
de Boissieu, E., Kondrateva, G., Baudier, P., & Ammi, C. (2021) · Journal of Enterprise Information Management · doi:10.1108/jeim-11-2020-0471 · Cited by 136 · see citing works
Li, J., Maiti, A., Springer, M., & Gray, T. (2020) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2020.1815853 · Cited by 135 · see citing works
Application of blockchain technology in food safety control：current trends and future prospects
Xü, Y., Li, X., Zeng, X., Cao, J., & Jiang, W. (2020) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2020.1858752 · Cited by 132 · see citing works
The impact of blockchain technology on the tea supply chain and its sustainable performance
Paul, T., Mondal, S., Islam, N., & Rakshit, S. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121163 · Cited by 131 · see citing works
Security Challenges and Opportunities for Smart Contracts in Internet of Things: A Survey
Peng, K., Li, M., Huang, H., Wang, C., Wan, S., & Choo, K.-K. R. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3074544 · Cited by 130 · see citing works
A Survey on Using Blockchain in Trade Supply Chain Solutions
Juma, H., Shaalan, K. F., & Kamel, I. (2019) · IEEE Access · doi:10.1109/access.2019.2960542 · Cited by 119 · see citing works
Agrawal, P., & Narain, R. (2021) · International Journal of Productivity and Performance Management · doi:10.1108/ijppm-09-2020-0481 · Cited by 126 · see citing works
Quayson, M., Bai, C. A., Sun, L., & Sarkis, J. (2023) · Business Strategy and the Environment · doi:10.1002/bse.3395 · Cited by 113 · see citing works
Dong, C., Akram, A., Andersson, D. I., Arnäs, P.-O., & Stefánsson, G. (2021) · The International Journal of Logistics Management · doi:10.1108/ijlm-01-2020-0043 · Cited by 112 · see citing works
Blockchain for Organic Food Traceability: Case Studies on Drivers and Challenges
van Hilten, M., Ongena, G., & Ravesteijn, P. (2020) · Frontiers in Blockchain · doi:10.3389/fbloc.2020.567175 · Cited by 110 · see citing works
Zeiß, R., Ixmeier, A., Recker, J., & Kranz, J. J. (2020) · Information Systems Journal · doi:10.1111/isj.12305 · Cited by 107 · see citing works
Philsoophian, M., Akhavan, P., & Namvar, M. (2021) · Management Decision · doi:10.1108/md-08-2020-1122 · Cited by 107 · see citing works
Blockchain and AI technology convergence: Applications in transportation systems
Singh, P., Elmi, Z., Lau, Y., Borowska-Stefańska, M., Wiśniewski, S., & Dulebenets, M. A. (2022) · Vehicular Communications · doi:10.1016/j.vehcom.2022.100521 · Cited by 108 · see citing works
A Conceptual Model for Blockchain-Based Agriculture Food Supply Chain System
Ehsan, I., Khalid, M. I., Ricci, L., Iqbal, J., Alabrah, A. A., Ullah, S. S., & Alfakih, T. M. (2022) · Scientific Programming · doi:10.1155/2022/7358354 · Cited by 104 · see citing works
Justinia, T. (2019) · Acta Informatica Medica · doi:10.5455/aim.2019.27.284-291 · Cited by 105 · see citing works
A Platform Approach to Smart Farm Information Processing
Amiri-Zarandi, M., Hazrati, M., Yousefinaghani, S., Dara, R. A., & Kaviani, M. (2022) · Agriculture · doi:10.3390/agriculture12060838 · Cited by 102 · see citing works
How blockchain technology improves sustainable supply chain processes: a practical guide
Difrancesco, R. M., Meena, P. L., & Kumar, G. (2022) · Operations Management Research · doi:10.1007/s12063-022-00343-y · Cited by 95 · see citing works
Artificial intelligence, big data, and blockchain in food safety
Zhou, Q., Zhang, H., & Wang, S. (2021) · International Journal of Food Engineering · doi:10.1515/ijfe-2021-0299 · Cited by 93 · see citing works
Blockchain technology in supply chain management: Innovations, applications, and challenges
Kumar, N., Kumar, K., Aeron, A., & Verre, F. (2025) · Telematics and Informatics Reports · doi:10.1016/j.teler.2025.100204 · Cited by 93 · see citing works
Ada, N., Ethirajan, M., Kumar, A., V, Vimal, K. E. K., Nadeem, S. P., Kazançoğlu, Y., & Kandasamy, J. (2021) · Sustainability · doi:10.3390/su132413667 · Cited by 95 · see citing works
Lei, M., Xu, L., Liu, T., Liu, S., & Sun, C. (2022) · Foods · doi:10.3390/foods11152262 · Cited by 99 · see citing works
Blockchain Technology: A Review of the Current Challenges of Cryptocurrency
Valdeolmillos, D., Mezquita, Y., González‐Briones, A., Prieto, J., & Corchado, J. M. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-23813-1_19 · Cited by 87 · see citing works
The role of blockchain in reducing the impact of barriers to humanitarian supply chain management
Özdemir, A. İ., Erol, İ., Ar, İ. M., Peker, İ., Asgary, A., Medeni, T. D., & Medeni, İ. T. (2020) · The International Journal of Logistics Management · doi:10.1108/ijlm-01-2020-0058 · Cited by 87 · see citing works
Big Data Privacy in Smart Farming: A Review
Amiri-Zarandi, M., Dara, R. A., Duncan, E., & Fraser, E. (2022) · Sustainability · doi:10.3390/su14159120 · Cited by 92 · see citing works
Chiaraluce, G., Bentivoglio, D., Finco, A., Fiore, M., Contò, F., & Galati, A. (2024) · Agricultural and Food Economics · doi:10.1186/s40100-024-00301-1 · Cited by 84 · see citing works
Performance Analysis of Hyperledger Besu in Private Blockchain
Fan, C., Lin, C., Khazaei, H., & Musı́lek, P. (2022) · IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS) · doi:10.1109/dapps55202.2022.00016 · Cited by 86 · see citing works
Improving supply chain collaboration through operational excellence approaches: an IoT perspective
Cui, L., Gao, M., Dai, J., & Mou, J. (2020) · Industrial Management & Data Systems · doi:10.1108/imds-01-2020-0016 · Cited by 82 · see citing works
Ajwani-Ramchandani, R., Figueira, S., de Oliveira, R. T., & Jha, S. K. (2021) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2021.105468 · Cited by 93 · see citing works
PharmaChain: Blockchain-based drug supply chain provenance verification system
Gomasta, S. S., Dhali, A., Tahlil, T., Anwar, M. M., & Ali, A. B. M. S. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e17957 · Cited by 78 · see citing works
Scalable Dynamic Multi-Agent Practical Byzantine Fault-Tolerant Consensus in Permissioned Blockchain
Feng, L., Zhang, H., Chen, Y., & Lou, L. (2018) · Applied Sciences · doi:10.3390/app8101919 · Cited by 76 · see citing works
Retail level Blockchain transformation for product supply chain using truffle development platform
Latif, R. M. A., Farhan, M., Rizwan, O., Hussain, M., Jabbar, S., & Khalid, S. (2020) · Cluster Computing · doi:10.1007/s10586-020-03165-4 · Cited by 72 · see citing works
How Blockchain Enhances Supply Chain Management: A Survey
Shakhbulatov, D., Medina, J. H., Dong, Z., & Rojas‐Cessa, R. (2020) · IEEE Open Journal of the Computer Society · doi:10.1109/ojcs.2020.3025313 · Cited by 74 · see citing works
A blockchain‐enabled framework for sharing logistics resources during emergency operations
L’Hermitte, C., & Nair, N. C. (2020) · Disasters · doi:10.1111/disa.12436 · Cited by 69 · see citing works
Chan, K. Y., Abdullah, J., & Shahid, A. (2019) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2019.0101120 · Cited by 67 · see citing works
The Effect of Blockchain Technology on Supply Chain Collaboration: A Case Study of Lenovo
Xia, J., Li, H., & He, Z. (2023) · Systems · doi:10.3390/systems11060299 · Cited by 67 · see citing works
Raza, Z., Haq, I. U., & Muneeb, M. (2023) · IEEE Access · doi:10.1109/access.2023.3259962 · Cited by 66 · see citing works
Çolak, M., Kaya, İ., Özkan, B., Budak, A., & Karaşan, A. (2019) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-179460 · Cited by 69 · see citing works
Sengupta, T., Narayanamurthy, G., Moser, R., Pereira, V. E., & Bhattacharjee, D. (2021) · Information Systems Frontiers · doi:10.1007/s10796-021-10228-3 · Cited by 64 · see citing works
Ying, H., Peng, X., Zhao, X., & Chen, Z. (2023) · Production and Operations Management · doi:10.1111/poms.13968 · Cited by 66 · see citing works
Alazab, M., & Alhyari, S. (2024) · Information · doi:10.3390/info15020078 · Cited by 69 · see citing works
Kang, Y., Dong, P., Ju, Y., & Zhang, T. (2024) · Computers & Industrial Engineering · doi:10.1016/j.cie.2024.109953 · Cited by 64 · see citing works
Defining granularity levels for supply chain traceability based on IoT and blockchain
Dasaklis, T. K., Casino, F., & Patsakis, C. (2019) · IEEE International Conference on Omni-layer Intelligent Systems (COINS) · doi:10.1145/3312614.3312652 · Cited by 61 · see citing works
Blockchain Applications in Agriculture: A Scoping Review
Sendros, A., Drosatos, G., Efraimidis, P. S., & Tsirliganis, N. C. (2021) · Applied Sciences · doi:10.3390/app12168061 · Cited by 59 · see citing works
The Role of Smart Contracts in Sustainability: Worldwide Research Trends
Salmerón-Manzano, E., & Manzano-Agugliaro, F. R. (2019) · Sustainability · doi:10.3390/su11113049 · Cited by 59 · see citing works
Technological innovation in agri-food supply chains
Cricelli, L., Mauriello, R., & Strazzullo, S. (2022) · British Food Journal · doi:10.1108/bfj-06-2022-0490 · Cited by 57 · see citing works
Soni, M., & Singh, D. K. (2021) · Materials Today Proceedings · doi:10.1016/j.matpr.2021.02.094 · Cited by 57 · see citing works
RetractedReview: Smart agri-systems for the pig industry
Collins, L., & Smith, L. M. (2022) · animal · doi:10.1016/j.animal.2022.100518 · Cited by 57 · see citing works
- Authors
- Casado-Vara, R., Prieto, J., la Prieta, F. D., & Corchado, J. M.
- Affiliations
- Universidad de Salamanca (ES)
- Corresponding author
- Prieto, Javier
- Corchado, Juan M.
- Venue
- Procedia Computer Science
- Publisher
- Elsevier BV
- Published
- 2018
- Volume
- 134
- Pages
- 393-398
- ISSN
- 1877-0509 (ISSN-L)
- OpenAlex
- W2887912929
- Cited by
- 450
- References
- 35
- Citations by year
- 2026: 16 · 2025: 17 · 2024: 43 · 2023: 59 · 2022: 78 · 2021: 97 · 2020: 84 · 2019: 54 · 2018: 2
- FWCI
- 46.50
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Procedia Computer Science (publishedVersion, cc-by-nc-nd)
- Repositorio Institucional de la Universidad de Burgos (University of Burgos) (submittedVersion, cc-by-nc-nd)
- Funders
- European Regional Development Fund (2014-2020’, 0123 IOTEC 3 E)
- Interreg (2014-2020)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Life Sciences › Agricultural and Biological Sciences › Food Science › Food Supply Chain Traceability
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Keywords
- blockchain, supply chain management, food supply chain, circular economy, multi-agent systems, supply chain coordination, linear economy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
