{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T13:19:51Z","timestamp":1774876791110,"version":"3.50.1"},"reference-count":87,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T00:00:00Z","timestamp":1774828800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Global supply chains face intensifying pressures from disruption, regulatory complexity, and sustainability mandates, requiring a shift toward more resilient and adaptive coordination. While artificial intelligence (AI) and blockchain have been recognised as complementary enablers, their implementation remains largely fragmented, existing as isolated tools linked by manual data exchange rather than integrated, programmable logic. This paper addresses this orchestration gap by proposing the Dynamic Resource Orchestration Framework for AI-Blockchain Integrated Supply Chains (DROF-AIBC). Grounded in Resource Orchestration Theory (ROT) and Dynamic Capabilities Theory (DCT), the framework provides a theoretical foundation for the strategic and autonomous orchestration of digital resources. Unlike classic supply chain orchestration, which focuses on the linear coordination of physical assets and legacy systems, DROF-AIBC conceptualises an \u201cintelligent conductor\u201d as a coordination mechanism combining AI-driven analytics and smart contract-based execution. This mechanism supports the configuration, optimisation, and monitoring of resources in response to changing external signals, effectively closing the loop between analytical insights and verifiable execution. The paper further substantiates how this autonomous capability serves as a foundational roadmap for the Industry 5.0 paradigm, embedding human-centricity through Explainable AI (XAI) to provide a \u201cprovenance of logic\u201d, promoting circular economy sustainability, and fostering systemic resilience in turbulent environments. The framework aims to provide both a theoretical foundation and a practical roadmap for orchestrating AI and blockchain to advance resilient, sustainable and adaptive supply chains.<\/jats:p>","DOI":"10.3390\/systems14040363","type":"journal-article","created":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T12:11:44Z","timestamp":1774872704000},"page":"363","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Strategic and Autonomous Orchestration of Artificial Intelligence and Blockchain Integration for Supply Chains"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7415-8033","authenticated-orcid":false,"given":"Funlade","family":"Sunmola","sequence":"first","affiliation":[{"name":"School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2118-5812","authenticated-orcid":false,"given":"George","family":"Baryannis","sequence":"additional","affiliation":[{"name":"School of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,3,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2904","DOI":"10.1080\/00207543.2020.1750727","article-title":"Viability of intertwined supply networks: Extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak","volume":"58","author":"Ivanov","year":"2020","journal-title":"Int. J. Prod. Res."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2402","DOI":"10.1080\/00207543.2023.2177049","article-title":"Toward supply chain viability theory: From lessons learned through COVID-19 pandemic to viable ecosystems","volume":"61","author":"Ivanov","year":"2023","journal-title":"Int. J. Prod. Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"7527","DOI":"10.1080\/00207543.2022.2029611","article-title":"The role of artificial intelligence in supply chain management: Mapping the territory","volume":"60","author":"Sharma","year":"2022","journal-title":"Int. J. Prod. Res."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2918","DOI":"10.1080\/00207543.2024.2316476","article-title":"Supply chain digitisation and management","volume":"62","author":"Tiwari","year":"2024","journal-title":"Int. J. Prod. Res."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1450","DOI":"10.1080\/00207543.2020.1824086","article-title":"Designing a blockchain enabled supply chain","volume":"59","author":"Wang","year":"2021","journal-title":"Int. J. Prod. Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"5428","DOI":"10.1080\/00207543.2024.2407903","article-title":"Performance analysis of a blockchain-based messaging system implementation for air cargo supply chains","volume":"63","author":"Lau","year":"2025","journal-title":"Int. J. Prod. Res."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"3333","DOI":"10.1080\/00207543.2023.2232050","article-title":"Artificial intelligence in supply chain and operations management: A multiple case study research","volume":"62","author":"Cannas","year":"2024","journal-title":"Int. J. Prod. Res."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"8537","DOI":"10.1080\/00207543.2024.2341415","article-title":"Artificial intelligence and prescriptive analytics for supply chain resilience: A systematic literature review and research agenda","volume":"62","author":"Smyth","year":"2024","journal-title":"Int. J. Prod. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"5629","DOI":"10.1080\/00207543.2025.2458121","article-title":"Causal machine learning for supply chain risk prediction and intervention planning","volume":"63","author":"Wyrembek","year":"2025","journal-title":"Int. J. Prod. Res."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"4610","DOI":"10.1080\/00207543.2020.1761565","article-title":"The potential of emergent disruptive technologies for humanitarian supply chains: The integration of blockchain, Artificial Intelligence and 3D printing","volume":"58","author":"Chowdhury","year":"2020","journal-title":"Int. J. Prod. Res."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"3938","DOI":"10.1080\/00207543.2024.2432469","article-title":"An adaptive federated learning system for information sharing in supply chains","volume":"63","author":"Zheng","year":"2025","journal-title":"Int. J. Prod. Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"n71","DOI":"10.1136\/bmj.n71","article-title":"The PRISMA 2020 statement: An updated guideline for reporting systematic reviews","volume":"372","author":"Page","year":"2021","journal-title":"BMJ"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Kitchenham, B.A., Budgen, D., and Brereton, P. (2015). Evidence-Based Software Engineering and Systematic Reviews, CRC Press.","DOI":"10.1201\/b19467"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1111\/1467-8551.00375","article-title":"Towards a methodology for developing evidence-informed management knowledge by means of systematic review","volume":"14","author":"Tranfield","year":"2003","journal-title":"Br. J. Manag."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2683","DOI":"10.1007\/s11192-022-04289-7","article-title":"Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases","volume":"127","author":"Gusenbauer","year":"2022","journal-title":"Scientometrics"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1510","DOI":"10.1080\/00207543.2023.2281663","article-title":"A review of explainable artificial intelligence in supply chain management using neurosymbolic approaches","volume":"62","author":"Kosasih","year":"2024","journal-title":"Int. J. Prod. Res."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1191\/1478088706qp063oa","article-title":"Using thematic analysis in psychology","volume":"3","author":"Braun","year":"2006","journal-title":"Qual. Res. Psychol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2471","DOI":"10.28991\/ESJ-2025-09-05-011","article-title":"Integrated AI, IoT, and Blockchain for Enhancing Security and Traceability in Perishable Logistics","volume":"9","author":"Gutierrez","year":"2025","journal-title":"Emerg. Sci. J."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"901","DOI":"10.1007\/s10479-024-06104-3","article-title":"How Does Digital Intelligence Technology Enhance Supply Chain Resilience? Sustainable Framework and Agenda","volume":"355","author":"Wu","year":"2025","journal-title":"Ann. Oper. Res."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1007\/s12652-024-04948-y","article-title":"Agricultural supply chain management using hyperledger and AIOT","volume":"16","author":"Jha","year":"2025","journal-title":"J. Ambient Intell. Humaniz. Comput."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2503102","DOI":"10.1002\/advs.202503102","article-title":"Blockchain-Empowered H-CPS Architecture for Smart Agriculture","volume":"12","author":"Wang","year":"2025","journal-title":"Adv. Sci."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"109525","DOI":"10.1016\/j.ijpe.2025.109525","article-title":"Digital transformation in the blockchain era: Balancing efficiency and resilience in operations management","volume":"282","author":"Xue","year":"2025","journal-title":"Int. J. Prod. Econ."},{"key":"ref_23","first-page":"173","article-title":"Adoption and impact of generative artificial intelligence on blockchain-enabled supply chain efficiency","volume":"27","author":"Gao","year":"2025","journal-title":"J. Syst. Inf. Technol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1109\/MC.2024.3400165","article-title":"Designing Secure and Smart Supply Chains: A Roadmap","volume":"57","author":"Boudouaia","year":"2024","journal-title":"Computer"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Adamashvili, N., Zhizhilashvili, N., and Tricase, C. (2024). The Integration of the Internet of Things, Artificial Intelligence, and Blockchain Technology for Advancing the Wine Supply Chain. Computers, 13.","DOI":"10.3390\/computers13030072"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1007\/s12008-024-01836-9","article-title":"Smart manufacturing supply chain process strategy using intelligent computation techniques","volume":"19","author":"Vijayapriya","year":"2025","journal-title":"Int. J. Interact. Des. Manuf. (IJIDeM)"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"17741","DOI":"10.1007\/s10668-024-04623-4","article-title":"Blockchain technology in agriculture: Digitizing the Iraqi agricultural environment","volume":"27","author":"Albaaji","year":"2025","journal-title":"Environ. Dev. Sustain."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"148845","DOI":"10.1109\/ACCESS.2024.3468611","article-title":"The Role of Blockchain in Transforming Industries Beyond Finance","volume":"12","author":"Vanmathi","year":"2024","journal-title":"IEEE Access"},{"key":"ref_29","first-page":"22","article-title":"Development of Blockchain-Based System for Tracking Fish Species\u2019 Taxonomy and Conservation Status","volume":"31","author":"Zulkarnain","year":"2024","journal-title":"FishTaxa"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"109386","DOI":"10.1016\/j.compag.2024.109386","article-title":"Precision farming for sustainability: An agricultural intelligence model","volume":"226","author":"Chandra","year":"2024","journal-title":"Comput. Electron. Agric."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"169","DOI":"10.2298\/FUEE2401169R","article-title":"AI and Blockchain Framework for Healthcare Applications","volume":"37","author":"Ramachandran","year":"2024","journal-title":"Facta Univ.\u2013Ser. Electron. Energet."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"3912","DOI":"10.1038\/s41598-024-53760-3","article-title":"Digital economy structuring for sustainable development: The role of blockchain and artificial intelligence in improving supply chain and reducing negative environmental impacts","volume":"14","author":"Hong","year":"2024","journal-title":"Sci. Rep."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"100350","DOI":"10.1016\/j.atech.2023.100350","article-title":"Integrating explainable artificial intelligence and blockchain to smart agriculture: Research prospects for decision making and improved security","volume":"6","author":"Chen","year":"2023","journal-title":"Smart Agric. Technol."},{"key":"ref_34","first-page":"1","article-title":"Supply Chain Resources and Economic Security Based on Artificial Intelligence and Blockchain Multi-Channel Technology","volume":"16","author":"Wang","year":"2022","journal-title":"Int. J. Inf. Technol. Syst. Approach"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1007\/s10479-022-04785-2","article-title":"Artificial intelligence and blockchain implementation in supply chains: A pathway to sustainability and data monetisation?","volume":"327","author":"Tsolakis","year":"2023","journal-title":"Ann. Oper. Res."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"4397","DOI":"10.1080\/00207543.2021.1957506","article-title":"Data-driven secure, resilient and sustainable supply chains: Gaps, opportunities, and a new generalised data sharing and data monetisation framework","volume":"60","author":"Bechtsis","year":"2022","journal-title":"Int. J. Prod. Res."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1109\/IOTM.0001.2100016","article-title":"AI and Blockchain-Based Cloud-Assisted Secure Vaccine Distribution and Tracking in IoMT-Enabled COVID-19 Environment","volume":"4","author":"Das","year":"2021","journal-title":"IEEE Internet Things Mag."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Chidepatil, A., Bindra, P., Kulkarni, D., Qazi, M., Kshirsagar, M., and Sankaran, K. (2020). From Trash to Cash: How Blockchain and Multi-Sensor-Driven Artificial Intelligence Can Transform Circular Economy of Plastic Waste?. Adm. Sci., 10.","DOI":"10.3390\/admsci10020023"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"39572","DOI":"10.1109\/JIOT.2025.3597139","article-title":"AIoT-Enabled Blockchain Integration in Dual-Product Music Supply Chains: Optimizing Sustainable Production Decisions Under Consumer Eco-Awareness Heterogeneity","volume":"12","author":"Zhu","year":"2025","journal-title":"IEEE Internet Things J."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"48405","DOI":"10.1109\/JIOT.2025.3605269","article-title":"AIoT-Enhanced Blockchain Framework for Hierarchical Access Control in Green Medical Supply Chain Systems","volume":"12","author":"Lv","year":"2025","journal-title":"IEEE Internet Things J."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Dahbi, H., Benabdellah, A.C., Belhadi, A., Kamble, S., and Zouadi, T. (2025). Generative heuristics-driven for blockchain-enhanced reputation systems and dynamic optimization in short food supply chains. J. Oper. Res. Soc., 1\u201323.","DOI":"10.1080\/01605682.2025.2573824"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Shelke, K., Pawar, C., and Kalantri, R. (2025). DMCFHNet-based blockchain-enabled secure data sharing and retrieval in the supply chain management system. J. Control Decis., 1\u201322.","DOI":"10.1080\/23307706.2025.2556342"},{"key":"ref_43","first-page":"1","article-title":"Optimization of Artificial Intelligence Algorithms for Intelligent Manufacturing: Enhancing Production Efficiency and Supply Chain Stability","volume":"37","author":"Chen","year":"2025","journal-title":"J. Organ. End User Comput."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"e3123","DOI":"10.7717\/peerj-cs.3123","article-title":"Security and privacy for Binance-based integrated blockchain for blood supply chain management systems","volume":"11","author":"Ch","year":"2025","journal-title":"PeerJ Comput. Sci."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Khanna, A., Jain, S., Sah, A., Dangi, S., Sharma, A., Tiang, S.S., Wong, C.H., and Lim, W.H. (2025). Generative AI and Blockchain-Integrated Multi-Agent Framework for Resilient and Sustainable Fruit Cold-Chain Logistics. Foods, 14.","DOI":"10.3390\/foods14173004"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"111467","DOI":"10.1016\/j.cie.2025.111467","article-title":"Secure digital frameworks for cold chain emissions tracking: Leveraging AI and blockchain for robust data integrity","volume":"209","author":"Fatorachian","year":"2025","journal-title":"Comput. Ind. Eng."},{"key":"ref_47","first-page":"76","article-title":"AI Predictive Analytics for Verifying Pharmaceutical Authenticity and Combating Drug Counterfeiting","volume":"32","author":"Soy","year":"2025","journal-title":"Commun. Appl. Nonlinear Anal."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Sunmola, F., Baryannis, G., Tan, A., Co, K., and Papadakis, E. (2025). Holistic Framework for Blockchain-Based Halal Compliance in Supply Chains Enabled by Artificial Intelligence. Systems, 13.","DOI":"10.3390\/systems13010021"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"88189","DOI":"10.1109\/ACCESS.2024.3407711","article-title":"Developing Intelligent and Immutable Vaccine Supply and Operation Platform Using Blockchain and Artificial Intelligence Technologies","volume":"12","author":"Alhazmi","year":"2024","journal-title":"IEEE Access"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1877","DOI":"10.1109\/TSC.2024.3422897","article-title":"A Blockchain-Based Fish Supply Chain Framework for Maintaining Fish Quality and Authenticity","volume":"17","author":"Ismail","year":"2024","journal-title":"IEEE Trans. Serv. Comput."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Abdelhamid, M.M., Sliman, L., and Ben Djemaa, R. (2024). AI-Enhanced Blockchain for Scalable IoT-Based Supply Chain. Logistics, 8.","DOI":"10.3390\/logistics8040109"},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Wang, F. (2024). The Application of Intelligent Information Systems Driven by 6G Big Data in Product Sales Traceability. Wirel. Pers. Commun.","DOI":"10.1007\/s11277-024-11210-3"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"5:1","DOI":"10.1147\/JRD.2019.2900638","article-title":"Blockchain analytics and artificial intelligence","volume":"63","author":"Dillenberger","year":"2019","journal-title":"IBM J. Res. Dev."},{"key":"ref_54","first-page":"92","article-title":"A Reinforcement Learning Integrated in Heuristic search method for self-driving vehicle using blockchain in supply chain management","volume":"1","author":"Nasurudeen","year":"2020","journal-title":"Int. J. Intell. Netw."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"115425","DOI":"10.1016\/j.eswa.2021.115425","article-title":"Blockchain for consortium: A practical paradigm in agricultural supply chain system","volume":"184","author":"Song","year":"2021","journal-title":"Expert Syst. Appl."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"162","DOI":"10.3390\/smartcities5010011","article-title":"SmartNoshWaste: Using Blockchain, Machine Learning, Cloud Computing and QR Code to Reduce Food Waste in Decentralized Web 3.0 Enabled Smart Cities","volume":"5","author":"Dey","year":"2022","journal-title":"Smart Cities"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1109\/IOTM.006.21000112","article-title":"Toward On-Device AI and Blockchain for 6G-Enabled Agricultural Supply Chain Management","volume":"5","author":"Zawish","year":"2022","journal-title":"IEEE Internet Things Mag."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"8130","DOI":"10.1109\/JIOT.2021.3109313","article-title":"Blockchain-Enabled Fish Provenance and Quality Tracking System","volume":"9","author":"Wang","year":"2022","journal-title":"IEEE Internet Things J."},{"key":"ref_59","first-page":"4794190","article-title":"Big Data Logistics Service Supply Chain Innovation Model Based on Artificial Intelligence and Blockchain","volume":"2022","author":"Zhang","year":"2022","journal-title":"Mob. Inf. Syst."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"109092","DOI":"10.1016\/j.cie.2023.109092","article-title":"A lower approximation based integrated decision analysis framework for a blockchain-based supply chain","volume":"177","author":"Karamchandani","year":"2023","journal-title":"Comput. Ind. Eng."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"3597","DOI":"10.1109\/ACCESS.2023.3235481","article-title":"An Intelligent Optimization Control Method for Enterprise Cost Under Blockchain Environment","volume":"11","author":"Liu","year":"2023","journal-title":"IEEE Access"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Bhatia, S., and Albarrak, A.S. (2023). A Blockchain-Driven Food Supply Chain Management Using QR Code and XAI-Faster RCNN Architecture. Sustainability, 15.","DOI":"10.3390\/su15032579"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Lee, C.A., Chow, K.M., Chan, H.A., and Lun, D.P.K. (2023). Decentralized governance and artificial intelligence policy with blockchain-based voting in federated learning. Front. Res. Metr. Anal., 8.","DOI":"10.3389\/frma.2023.1035123"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"102481","DOI":"10.1109\/ACCESS.2024.3432454","article-title":"A Comparative Study of Lightweight Machine Learning Techniques for Cyber-Attacks Detection in Blockchain-Enabled Industrial Supply Chain","volume":"12","author":"Ismail","year":"2024","journal-title":"IEEE Access"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"100172","DOI":"10.1016\/j.sca.2025.100172","article-title":"A multi-phase analytics framework for supply chain supplier selection and order allocation with delay risks and Industry 4.0 readiness","volume":"12","author":"Shidpour","year":"2025","journal-title":"Supply Chain Anal."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"e53","DOI":"10.1017\/dce.2025.10032","article-title":"Trustworthy, responsible and ethical artificial intelligence in manufacturing and supply chains: Synthesis and emerging research questions","volume":"6","author":"Brintrup","year":"2025","journal-title":"Data-Centric Eng."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"813","DOI":"10.1016\/j.ifacol.2024.09.195","article-title":"Artificial Intelligence Opportunities for Resilient Supply Chains","volume":"58","author":"Sunmola","year":"2024","journal-title":"IFAC-PapersOnLine"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"175","DOI":"10.17270\/J.LOG.001019","article-title":"Using MCDM methods to optimise machine learning decisions for supply chain delay prediction: A Stakeholder-centric approach","volume":"20","author":"Wyrembek","year":"2024","journal-title":"Logforum"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"106222","DOI":"10.1016\/j.compbiomed.2022.106222","article-title":"A novel hybrid meta-heuristic contrast stretching technique for improved skin lesion segmentation","volume":"151","author":"Malik","year":"2022","journal-title":"Comput. Biol. Med."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"273","DOI":"10.5465\/amr.2007.23466005","article-title":"Managing firm resources in dynamic environments to create value: Looking inside the black box","volume":"32","author":"Sirmon","year":"2007","journal-title":"Acad. Manag. Rev."},{"key":"ref_71","first-page":"1390","article-title":"Resource orchestration to create competitive advantage: Breadth, depth, and life cycle effects","volume":"37","author":"Sirmon","year":"2011","journal-title":"J. Manag."},{"key":"ref_72","first-page":"10","article-title":"The Impact of Enterprise Resource Planning (ERP) Implementation on Performance of Firms: A Case to Support Production Process Improvement","volume":"48","author":"Ghattas","year":"2023","journal-title":"Mansoura Eng. J."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"108405","DOI":"10.1016\/j.ijpe.2021.108405","article-title":"Supply chain resilience in the UK during the coronavirus pandemic: A resource orchestration perspective","volume":"245","author":"Queiroz","year":"2022","journal-title":"Int. J. Prod. Econ."},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Lu, Q., Qin, W., Yan, R., Zhang, S., and Ma, L. (2025). The effect of SMEs\u2019 digitalization on supply chain financing performance: Based on the resource orchestration theory. J. Theor. Appl. Electron. Commer. Res., 20.","DOI":"10.3390\/jtaer20010020"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1111\/jscm.12117","article-title":"Supply chain technologies: Linking adoption, utilization, and performance","volume":"52","author":"Liu","year":"2016","journal-title":"J. Supply Chain Manag."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"103645","DOI":"10.1016\/j.ijhm.2023.103645","article-title":"Effects of resource orchestration, strategic information exchange capabilities, and digital orientation on innovation and performance of hotel supply chains","volume":"117","author":"Tajeddini","year":"2024","journal-title":"Int. J. Hosp. Manag."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1111\/jbl.12287","article-title":"Utilizing blockchain technology for supply chain transparency: A resource orchestration perspective","volume":"43","author":"Gligor","year":"2022","journal-title":"J. Bus. Logist."},{"key":"ref_78","doi-asserted-by":"crossref","unstructured":"Ahmad, M.A., Baryannis, G., and Hill, R. (2024). Defining Complex Adaptive Systems: An Algorithmic Approach. Systems, 12.","DOI":"10.3390\/systems12020045"},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1002\/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z","article-title":"Dynamic capabilities and strategic management","volume":"18","author":"Teece","year":"1997","journal-title":"Strateg. Manag. J."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"1319","DOI":"10.1002\/smj.640","article-title":"Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance","volume":"28","author":"Teece","year":"2007","journal-title":"Strateg. Manag. J."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"706","DOI":"10.1108\/JEIM-06-2015-0050","article-title":"A multi-agent based system with big data processing for enhanced supply chain agility","volume":"29","author":"Giannakis","year":"2016","journal-title":"J. Enterp. Inf. Manag."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"108931","DOI":"10.1016\/j.cie.2022.108931","article-title":"Effects of supply chain transparency, alignment, adaptability, and agility on blockchain adoption in supply chain among SMEs","volume":"176","author":"Iranmanesh","year":"2023","journal-title":"Comput. Ind. Eng."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"2266","DOI":"10.1108\/IJOPM-09-2017-0555","article-title":"Dynamic supply chain capabilities: How market sensing, supply chain agility and adaptability affect supply chain ambidexterity","volume":"38","author":"Aslam","year":"2018","journal-title":"Int. J. Oper. Prod. Manag."},{"key":"ref_84","first-page":"7","article-title":"Resilience and knowledge-based firms performance: The mediating role of entrepreneurial thinking","volume":"4","author":"Hosseini","year":"2021","journal-title":"J. Entrep. Bus. Resil."},{"key":"ref_85","first-page":"2523957","article-title":"Supply chain resilience and critical dynamic capabilities: A balanced scorecard approach","volume":"13","author":"Kaneberg","year":"2025","journal-title":"Prod. Manuf. Res."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"108817","DOI":"10.1016\/j.ijpe.2023.108817","article-title":"Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model","volume":"259","author":"Zhao","year":"2023","journal-title":"Int. J. Prod. Econ."},{"key":"ref_87","first-page":"256","article-title":"WSSL: A Fluent Calculus-Based Language for Web Service Specifications","volume":"Volume 7908","author":"Salinesi","year":"2013","journal-title":"25th International Conference on Advanced Information Systems Engineering (CAiSE 2013)"}],"container-title":["Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-8954\/14\/4\/363\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T12:22:44Z","timestamp":1774873364000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-8954\/14\/4\/363"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,30]]},"references-count":87,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2026,4]]}},"alternative-id":["systems14040363"],"URL":"https:\/\/doi.org\/10.3390\/systems14040363","relation":{},"ISSN":["2079-8954"],"issn-type":[{"value":"2079-8954","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,30]]}}}