{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T15:10:37Z","timestamp":1778857837561,"version":"3.51.4"},"reference-count":104,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2025,3,9]],"date-time":"2025-03-09T00:00:00Z","timestamp":1741478400000},"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>In the volatility, uncertainty, complexity, and ambiguity (VUCA) environment, the application of artificial intelligence (AI) technologies is a key engine for shaping supply chain resilience (SCR). This study employs the entropy method to develop an evaluation index system for SCR, incorporating two key dimensions: resistance and recovery capacity. Using a sample of Chinese-listed enterprises from 2009 to 2022, this study reveals that AI significantly enhances SCR, and CEOs\u2019 sports experience can positively moderate the association between AI and SCR. Mechanism examination shows that AI promotes SCR through operational efficiency optimization, information, and knowledge spillover in the supply chain. Heterogeneity analysis reveals that the positive impact of AI is more significant in firms with a high-skilled labor force, firms with high heterogeneity of the executive team\u2019s human capital, high-tech industries, and regions with strong digital infrastructure. Moreover, the AI application has a diffusion effect on the upstream and downstream enterprises of the supply chain, improving AI adoption levels. Our research not only augments the existing literature on the economic ramifications of AI adoption and the strategic value derived from CEOs\u2019 extramural experience but also offers both theoretical frameworks and empirical insights for executive recruitment and fortifying SCR.<\/jats:p>","DOI":"10.3390\/systems13030190","type":"journal-article","created":{"date-parts":[[2025,3,10]],"date-time":"2025-03-10T05:46:52Z","timestamp":1741585612000},"page":"190","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["How Does Artificial Intelligence Shape Supply Chain Resilience? The Moderating Role of the CEOs\u2019 Sports Experience"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-4846-7389","authenticated-orcid":false,"given":"Yuxuan","family":"Xu","sequence":"first","affiliation":[{"name":"School of Economics and Management, Southeast University, Nanjing 211189, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hua","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Physical Education, Shanghai University, Shanghai 200444, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1142-7715","authenticated-orcid":false,"given":"Ran","family":"Qiu","sequence":"additional","affiliation":[{"name":"School of Management, Shanghai University, Shanghai 200444, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8570-7181","authenticated-orcid":false,"given":"Liying","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Management, Shanghai University, Shanghai 200444, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,3,9]]},"reference":[{"key":"ref_1","unstructured":"Sherman, E. (2025, January 26). 94% of the Fortune 1000 are Seeing Coronavirus Supply Chain Disruptions: Report. Available online: https:\/\/fortune.com\/2020\/02\/21\/fortune-1000-coronavirus-china-supply-chain-impact\/."},{"key":"ref_2","unstructured":"(2025, January 26). U.S. Department of Commerce. U.S. Department of Commerce Publishes Text of Landmark Indo-Pacific Economic Framework for Prosperity (IPEF) Supply Chain Agreement, Available online: https:\/\/www.commerce.gov\/news\/press-releases\/2023\/09\/us-department-commerce-publishes-text-landmark-indo-pacific-economic."},{"key":"ref_3","unstructured":"The White House (2025, January 26). Fact Sheet: President Biden Announces New Actions to Strengthen America\u2019s Supply Chains, Lower Costs for Families, and Secure Key Sectors, Available online: https:\/\/bidenwhitehouse.archives.gov\/briefing-room\/statements-releases\/2023\/11\/27\/fact-sheet-president-biden-announces-new-actions-to-strengthen-americas-supply-chains-lower-costs-for-families-and-secure-key-sectors\/."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.indmarman.2019.05.006","article-title":"Does social capital matter for supply chain resilience? The role of absorptive capacity and marketing-supply chain management alignment","volume":"84","author":"Kuivalainen","year":"2020","journal-title":"Ind. Mark. Manag."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"104555","DOI":"10.1016\/j.respol.2022.104555","article-title":"Artificial intelligence and industrial innovation: Evidence from German firm-level data","volume":"51","author":"Rammer","year":"2022","journal-title":"Res. Policy"},{"key":"ref_6","unstructured":"(2025, January 26). Association for Supply Chain Management (ASCM). Top 10 Supply Chain Trends in 2025. Available online: https:\/\/www.ascm.org\/making-an-impact\/research\/top-10-supply-chain-trends-in-2025\/."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5465\/annals.2020.0192","article-title":"Organizations as artificial intelligences: The use of artificial intelligence analogies in organization theory","volume":"16","author":"Csaszar","year":"2022","journal-title":"Acad. Manag. Ann."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1007\/s10479-021-03935-2","article-title":"Artificial intelligence-based inventory management: A Monte Carlo tree search approach","volume":"308","author":"Preil","year":"2022","journal-title":"Ann. Oper. Res."},{"key":"ref_9","first-page":"48","article-title":"Unlocking accurate demand forecasting in retail supply chains with AI-driven predictive analytics","volume":"14","author":"Muthukalyani","year":"2023","journal-title":"Inf. Technol. Manag."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"532","DOI":"10.1111\/jbl.12364","article-title":"Artificial intelligence in logistics and supply chain management: A primer and roadmap for research","volume":"44","author":"Richey","year":"2023","journal-title":"J. Bus. Logist."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"109714","DOI":"10.1016\/j.cie.2023.109714","article-title":"Artificial intelligence techniques for enhancing supply chain resilience: A systematic literature review, holistic framework, and future research","volume":"186","author":"Kassa","year":"2023","journal-title":"Comput. Ind. Eng."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"605","DOI":"10.1007\/s10479-022-04983-y","article-title":"Artificial intelligence and big data analytics for supply chain resilience: A systematic literature review","volume":"327","author":"Zamani","year":"2023","journal-title":"Ann. Oper. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1108\/IJPDLM-12-2020-0434","article-title":"AI technologies and their impact on supply chain resilience during COVID-19","volume":"52","author":"Modgil","year":"2022","journal-title":"Int. J. Phys. Distrib. Logist. Manag."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1007\/s10479-021-03956-x","article-title":"Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: An empirical investigation","volume":"333","author":"Belhadi","year":"2024","journal-title":"Ann. Oper. Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"5417","DOI":"10.1080\/00207543.2023.2179859","article-title":"Artificial intelligence-driven supply chain resilience in Vietnamese manufacturing small-and medium-sized enterprises","volume":"62","author":"Dey","year":"2024","journal-title":"Int. J. Prod. Res."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"193","DOI":"10.2307\/258434","article-title":"Upper echelons: The organization as a reflection of its top managers","volume":"9","author":"Hambrick","year":"1984","journal-title":"Acad. Manag. Rev."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1177\/1059601119891268","article-title":"How does CEO regulatory focus matter? The impacts of CEO promotion and prevention focus on firm strategic change","volume":"45","author":"Jiang","year":"2020","journal-title":"Group Organ. Manag."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"884","DOI":"10.1016\/j.emj.2020.04.009","article-title":"CEOs\u2019 temporal focus, firm strategic change, and performance: Insights from a paradox perspective","volume":"38","author":"Back","year":"2020","journal-title":"Eur. Manag. J."},{"key":"ref_19","first-page":"2629","article-title":"Nothing ventured, nothing gained: A meta-analysis of CEO overconfidence, strategic risk taking, and performance","volume":"49","author":"Burkhard","year":"2023","journal-title":"J. Manag."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"652","DOI":"10.5465\/amj.2012.0469","article-title":"CEO career variety: Effects on firm-level strategic and social novelty","volume":"57","author":"Crossland","year":"2014","journal-title":"Acad. Manag. J."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1057\/s41267-017-0080-1","article-title":"CEO international experience: Effects on strategic change and firm performance","volume":"48","author":"Le","year":"2017","journal-title":"J. Int. Bus. Stud."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1933","DOI":"10.1002\/smj.3183","article-title":"Why do some insider CEOs make more strategic changes than others? The impact of prior board experience on new CEO insiderness","volume":"41","author":"Zhu","year":"2020","journal-title":"Strateg. Manag. J."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.intfin.2018.12.009","article-title":"Athletes in boardrooms: Evidence from the world","volume":"59","author":"Dong","year":"2019","journal-title":"J. Int. Financ. Mark. Inst. Money"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"102524","DOI":"10.1016\/j.jcorpfin.2023.102524","article-title":"CEO personality traits, strategic flexibility, and firm dynamics","volume":"84","author":"Aabo","year":"2024","journal-title":"J. Corp. Financ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"138249","DOI":"10.1016\/j.jclepro.2023.138249","article-title":"Impact of industry 4.0 technologies on sustainable supply chain performance: The mediating role of green supply chain management practices and circular economy","volume":"419","author":"Karmaker","year":"2023","journal-title":"J. Clean. Prod."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1177\/0165551520985495","article-title":"Embodying algorithms, enactive artificial intelligence and the extended cognition: You can see as much as you know about algorithm","volume":"49","author":"Shin","year":"2023","journal-title":"J. Inf. Sci."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"334","DOI":"10.5465\/amr.2007.24345254","article-title":"Upper echelons theory: An update","volume":"32","author":"Hambrick","year":"2007","journal-title":"Acad. Manag. Rev."},{"key":"ref_28","unstructured":"Shekshnia, S., Zagieva, V., and Ulanovsky, A. (2019). Athletic CEOs: Leadership in Turbulent Times, Anthem Press. [2nd ed.]. Available online: https:\/\/www.cambridge.org\/core\/books\/athletic-ceos\/85692F34485CABCCA2BC3D44452B8F1B."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"753","DOI":"10.1162\/rest_a_00754","article-title":"Robots at work","volume":"100","author":"Graetz","year":"2018","journal-title":"Rev. Econ. Stat."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"105037","DOI":"10.1016\/j.respol.2024.105037","article-title":"Economic impacts of AI-augmented R&D","volume":"53","author":"Besiroglu","year":"2024","journal-title":"Res. Policy"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"101932","DOI":"10.1016\/j.techsoc.2022.101932","article-title":"Does the application of industrial robots overcome the Solow paradox? Evidence from China","volume":"68","author":"Du","year":"2022","journal-title":"Technol. Soc."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"109762","DOI":"10.1016\/j.econlet.2021.109762","article-title":"The contribution of robots to productivity growth in 30 OECD countries over 1975\u20132019","volume":"200","author":"Cette","year":"2021","journal-title":"Econ. Lett."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1977","DOI":"10.1287\/orsc.2023.18441","article-title":"The short-term effects of generative artificial intelligence on employment: Evidence from an online labor market","volume":"35","author":"Hui","year":"2024","journal-title":"Organ. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1093\/epolic\/eiae059","article-title":"Artificial intelligence and jobs: Evidence from us commuting zones","volume":"40","author":"Bonfiglioli","year":"2024","journal-title":"Econ. Policy"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"S293","DOI":"10.1086\/718327","article-title":"Artificial intelligence and jobs: Evidence from online vacancies","volume":"40","author":"Acemoglu","year":"2022","journal-title":"J. Labor Econ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"102719","DOI":"10.1016\/j.techsoc.2024.102719","article-title":"Artificial intelligence and wealth inequality: A comprehensive empirical exploration of socioeconomic implications","volume":"79","author":"Skare","year":"2024","journal-title":"Technol. Soc."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"102621","DOI":"10.1016\/j.techsoc.2024.102621","article-title":"Robotics Applications, Inclusive Employment and Income Disparity","volume":"78","author":"Xin","year":"2024","journal-title":"Technol. Soc."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1207","DOI":"10.1007\/s11205-024-03493-7","article-title":"Income Inequality and Artificial Intelligence: Globalization and age dependency for developed countries","volume":"176","author":"Khan","year":"2024","journal-title":"Social. Indic. Res."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"5457","DOI":"10.1080\/00207543.2023.2167014","article-title":"Enablers of artificial intelligence adoption and implementation in production systems","volume":"62","author":"Merhi","year":"2024","journal-title":"Int. J. Prod. Res."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"108250","DOI":"10.1016\/j.ijpe.2021.108250","article-title":"Artificial intelligence applications in supply chain management","volume":"241","author":"Pournader","year":"2021","journal-title":"Int. J. Prod. Econ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"102900","DOI":"10.1016\/j.jretconser.2021.102900","article-title":"Will artificial intelligence replace human customer service? The impact of communication quality and privacy risks on adoption intention","volume":"66","author":"Song","year":"2022","journal-title":"J. Retail. Consum. Serv."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"103773","DOI":"10.1016\/j.irfa.2024.103773","article-title":"Artificial intelligence, dynamic capabilities, and corporate financial asset allocation","volume":"96","author":"Li","year":"2024","journal-title":"Int. Rev. Financ. Anal."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"642","DOI":"10.5465\/amp.2019.0062","article-title":"Artificial intelligence as augmenting automation: Implications for employment","volume":"35","author":"Tschang","year":"2021","journal-title":"Acad. Manag. Perspect."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"103324","DOI":"10.1016\/j.resourpol.2023.103324","article-title":"Artificial intelligence, resource reallocation, and corporate innovation efficiency: Evidence from China\u2019s listed companies","volume":"81","author":"Li","year":"2023","journal-title":"Resour. Policy"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"101072","DOI":"10.1016\/j.gfj.2024.101072","article-title":"Artificial intelligence, digital finance, and green innovation","volume":"64","author":"Song","year":"2025","journal-title":"Glob. Financ. J."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Chen, Y.A., and Dong, N. (2024). AI capabilities and export performance: The moderating role of province market development and cultural distance. Int. J. Emerg. Markets.","DOI":"10.1108\/IJOEM-12-2023-2014"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"107392","DOI":"10.1016\/j.eneco.2024.107392","article-title":"Assessing the influence of artificial intelligence on the energy efficiency for sustainable ecological products value","volume":"131","author":"Song","year":"2024","journal-title":"Energy Econ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"107562","DOI":"10.1016\/j.eneco.2024.107562","article-title":"The pathway to curb greenwashing in sustainable growth: The role of artificial intelligence","volume":"133","author":"Zhang","year":"2024","journal-title":"Energy Econ."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1080","DOI":"10.1016\/j.eap.2024.08.004","article-title":"Shock or empowerment? Artificial intelligence technology and corporate ESG performance","volume":"83","author":"Chen","year":"2024","journal-title":"Econ. Anal. Policy"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"618","DOI":"10.5465\/amr.2020.0205","article-title":"Competitive advantage through artificial intelligence: Toward a theory of situated AI","volume":"49","author":"Kemp","year":"2024","journal-title":"Acad. Manag. Rev."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"100532","DOI":"10.1016\/j.jik.2024.100532","article-title":"AI-enabled business models for competitive advantage","volume":"9","author":"Climent","year":"2024","journal-title":"J. Innov. Knowl."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"102544","DOI":"10.1016\/j.ijproman.2023.102544","article-title":"Resilience science: Theoretical and methodological directions from the juncture of resilience and projects","volume":"41","author":"Naderpajouh","year":"2023","journal-title":"Int. J. Proj. Manag."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1111\/jbl.12009","article-title":"Ensuring supply chain resilience: Development and implementation of an assessment tool","volume":"34","author":"Pettit","year":"2013","journal-title":"J. Bus. Logist."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.jom.2014.11.002","article-title":"Firm\u2019s resilience to supply chain disruptions: Scale development and empirical examination","volume":"33","author":"Ambulkar","year":"2015","journal-title":"J. Oper. Manag."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1080\/00207543.2019.1582820","article-title":"Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience","volume":"59","author":"Dubey","year":"2021","journal-title":"Int. J. Prod. Res."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"102773","DOI":"10.1016\/j.tre.2022.102773","article-title":"Blockchain-supported business model design, supply chain resilience, and firm performance","volume":"163","author":"Li","year":"2022","journal-title":"Transp. Res. Part E Logist. Transp. Rev."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1140","DOI":"10.1108\/JEIM-09-2022-0317","article-title":"Next generation supply chain management: The impact of cloud computing","volume":"37","author":"Gammelgaard","year":"2024","journal-title":"J. Enterp. Inf. Manag."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1108\/JEIM-03-2022-0091","article-title":"Impacts of IT capability and supply chain collaboration on supply chain resilience: Empirical evidence from China in COVID-19 pandemic","volume":"37","author":"Zhou","year":"2024","journal-title":"J. Enterp. Inf. Manag."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"108781","DOI":"10.1016\/j.ijpe.2023.108781","article-title":"The impact of supply chain concentration on integration and business performance","volume":"257","author":"Chen","year":"2023","journal-title":"Int. J. Prod. Econ."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1080\/13675567.2019.1683522","article-title":"Firm innovation and supply chain resilience: A dynamic capability perspective","volume":"23","author":"Sabahi","year":"2020","journal-title":"Int. J. Logist. Res. Appl."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"101847","DOI":"10.1016\/j.techsoc.2021.101847","article-title":"Supply chain resilience during the COVID-19 pandemic","volume":"68","author":"Ozdemir","year":"2022","journal-title":"Technol. Soc."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1111\/jbl.12202","article-title":"The evolution of resilience in supply chain management: A retrospective on ensuring supply chain resilience","volume":"40","author":"Pettit","year":"2019","journal-title":"J. Bus. Logist."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"126058","DOI":"10.1016\/j.jclepro.2021.126058","article-title":"Resilience and cleaner production in industry 4.0: Role of supply chain mapping and visibility","volume":"292","author":"Mubarik","year":"2021","journal-title":"J. Clean. Prod."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Umar, M., and Wilson, M. (2021). Supply chain resilience: Unleashing the power of collaboration in disaster management. Sustainability, 13.","DOI":"10.3390\/su131910573"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1185","DOI":"10.1108\/JMTM-07-2019-0263","article-title":"Achieving supply chain resilience: The role of supply chain ambidexterity and supply chain agility","volume":"31","author":"Aslam","year":"2020","journal-title":"J. Manuf. Technol. Manag."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"132431","DOI":"10.1016\/j.jclepro.2022.132431","article-title":"Role of flexibility, agility and responsiveness for sustainable supply chain resilience during COVID-19","volume":"362","author":"Kazancoglu","year":"2022","journal-title":"J. Clean. Prod."},{"key":"ref_67","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_68","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1287\/inte.4.3.28","article-title":"Organization design: An information processing view","volume":"4","author":"Galbraith","year":"1974","journal-title":"Interfaces"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1108\/MD-12-2014-0674","article-title":"Ambidextrous supply chain as a dynamic capability: Building a resilient supply chain","volume":"54","author":"Lee","year":"2016","journal-title":"Manag. Decis."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.ijinfomgt.2019.03.004","article-title":"A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing","volume":"49","author":"Cavalcante","year":"2019","journal-title":"Int. J. Inf. Manag."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1108\/JEIM-10-2022-0398","article-title":"Artificial intelligence-based food-quality and warehousing management for food banks\u2019 inbound logistics","volume":"37","author":"Wu","year":"2024","journal-title":"J. Enterp. Inf. Manag."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"6779","DOI":"10.1080\/00207543.2017.1349947","article-title":"Supply chain resilience: Model development and empirical analysis","volume":"55","author":"Jain","year":"2017","journal-title":"Int. J. Prod. Res."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1109\/TSMC.2022.3166397","article-title":"Computer vision techniques in manufacturing","volume":"53","author":"Zhou","year":"2022","journal-title":"IEEE Trans. Syst. ManCybern. Syst."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/0024-6301(92)90307-N","article-title":"Managing strategic change\u2014Strategy, culture and action","volume":"25","author":"Johnson","year":"1992","journal-title":"Long Range Plan."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"659","DOI":"10.2307\/2393871","article-title":"The influence of top management team heterogeneity on firms\u2019 competitive moves","volume":"41","author":"Hambrick","year":"1996","journal-title":"Adm. Sci. Q."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1080\/02640414.2011.565064","article-title":"An investigation of the five-factor model of personality and coping behavior in sport","volume":"29","author":"Allen","year":"2011","journal-title":"J. Sports Sci."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"101543","DOI":"10.1016\/j.leaqua.2021.101543","article-title":"The role of CEO emotional stability and team heterogeneity in shaping the top management team affective tone and firm performance relationship","volume":"33","author":"Ormiston","year":"2022","journal-title":"Leadersh. Q."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/j.2158-1592.2001.tb00001.x","article-title":"Defining supply chain management","volume":"22","author":"Mentzer","year":"2001","journal-title":"J. Bus. Logist."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1108\/IJLM-02-2022-0078","article-title":"Revisiting the bullwhip effect: How can AI smoothen the bullwhip phenomenon?","volume":"34","author":"Weisz","year":"2023","journal-title":"Int. J. Logist. Manag."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"2179","DOI":"10.1080\/00207543.2018.1530476","article-title":"Supply chain risk management and artificial intelligence: State of the art and future research directions","volume":"57","author":"Baryannis","year":"2019","journal-title":"Int. J. Prod. Res."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1080\/09537287.2020.1712487","article-title":"Impact of Industry 4.0 on supply chain performance","volume":"32","author":"Fatorachian","year":"2021","journal-title":"Prod. Plan. Control"},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/j.indmarman.2022.12.014","article-title":"Adoption of AI integrated partner relationship management (AI-PRM) in B2B sales channels: Exploratory study","volume":"109","author":"Chatterjee","year":"2023","journal-title":"Ind. Mark. Manag."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s40821-020-00172-8","article-title":"The impact of artificial intelligence on labor productivity","volume":"11","author":"Damioli","year":"2021","journal-title":"Eurasian Bus. Rev."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"876","DOI":"10.1093\/icc\/dtad002","article-title":"A firm\u2019s creation of proprietary knowledge linked to the knowledge spilled over from its research publications: The case of artificial intelligence","volume":"32","author":"Jee","year":"2023","journal-title":"Ind. Corp. Change"},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"2858","DOI":"10.1002\/bse.2776","article-title":"Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda","volume":"30","author":"Negri","year":"2021","journal-title":"Bus. Strategy Environ."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.jfi.2008.08.004","article-title":"Formal finance and trade credit during China\u2019s transition","volume":"18","author":"Cull","year":"2009","journal-title":"J. Financ. Intermediation"},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"103769","DOI":"10.1016\/j.iref.2024.103769","article-title":"Supply chain stability and corporate green technology innovation","volume":"97","author":"Tu","year":"2025","journal-title":"Int. Rev. Econ. Financ."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1111\/poms.12034","article-title":"An empirical study of the bullwhip effect in China","volume":"23","author":"Shan","year":"2014","journal-title":"Prod. Oper. Manag."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"108168","DOI":"10.1016\/j.eneco.2024.108168","article-title":"Does artificial intelligence suppress firms\u2019 greenwashing behavior? Evidence from robot adoption in China","volume":"142","author":"Bai","year":"2025","journal-title":"Energy Econ."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.iref.2021.12.016","article-title":"Defend or remain quiet? Tax avoidance and the textual characteristics of the MD&A in annual reports","volume":"79","author":"Zhang","year":"2022","journal-title":"Int. Rev. Econ. Financ."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"102220","DOI":"10.1016\/j.ribaf.2024.102220","article-title":"Annual report readability and trade credit financing: Evidence from China","volume":"69","author":"Li","year":"2024","journal-title":"Res. Int. Bus. Financ."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"522","DOI":"10.1287\/orsc.1050.0134","article-title":"Managing strategic contradictions: A top management model for managing innovation streams","volume":"16","author":"Smith","year":"2005","journal-title":"Organ. Sci."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.tranpol.2023.01.006","article-title":"Impact of high-speed rail on high-skilled labor mobility in China","volume":"133","author":"Feng","year":"2023","journal-title":"Transp. Policy"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"102331","DOI":"10.1016\/j.ribaf.2024.102331","article-title":"The effect of executive team heterogeneity on firms\u2019 total factors of production: Evidence from China","volume":"70","author":"Huang","year":"2024","journal-title":"Res. Int. Bus. Financ."},{"key":"ref_95","unstructured":"Rogers, E.M. (1983). Diffusion of Innovations, Free Press."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1108\/09574091211226957","article-title":"Supply chain innovation diffusion: Going beyond adoption","volume":"23","author":"Hazen","year":"2012","journal-title":"Int. J. Logist. Manag."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"699","DOI":"10.1016\/j.respol.2015.12.007","article-title":"Knowledge spillovers in the supply chain: Evidence from the high-tech sectors","volume":"45","author":"Isaksson","year":"2016","journal-title":"Res. Policy"},{"key":"ref_98","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_99","doi-asserted-by":"crossref","first-page":"1246","DOI":"10.1108\/IJLM-02-2021-0094","article-title":"Artificial intelligence for supply chain resilience: Learning from Covid-19","volume":"33","author":"Modgil","year":"2022","journal-title":"Int. J. Logist. Manag."},{"key":"ref_100","unstructured":"Taylor, S. (2025, January 26). Satya Nadella and Other Sounders Owners on How They\u2019ve Applied Lessons from Sports to Business. Available online: https:\/\/www.geekwire.com\/2019\/satya-nadella-sounders-owners-theyve-applied-lessons-sports-business\/."},{"key":"ref_101","doi-asserted-by":"crossref","unstructured":"Ying, Y., Cui, X., and Jin, S. (2023). Artificial intelligence and green total factor productivity: The moderating effect of slack resources. Systems, 11.","DOI":"10.3390\/systems11070356"},{"key":"ref_102","doi-asserted-by":"crossref","unstructured":"Jing, H., and Zhang, S. (2024). The Impact of Artificial Intelligence on ESG Performance of Manufacturing Firms: The Mediating Role of Ambidextrous Green Innovation. Systems, 12.","DOI":"10.3390\/systems12110499"},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"114842","DOI":"10.1016\/j.jbusres.2024.114842","article-title":"Digital transformation along the supply chain: Spillover effects from vertical partnerships","volume":"183","author":"Geng","year":"2024","journal-title":"J. Bus. Res."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"100483","DOI":"10.1016\/j.jik.2024.100483","article-title":"Digital transformation in supply chains: Assessing the spillover effects on midstream firm innovation","volume":"9","author":"Wei","year":"2024","journal-title":"J. Innov. Knowl."}],"container-title":["Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-8954\/13\/3\/190\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T16:49:33Z","timestamp":1760028573000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-8954\/13\/3\/190"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,9]]},"references-count":104,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025,3]]}},"alternative-id":["systems13030190"],"URL":"https:\/\/doi.org\/10.3390\/systems13030190","relation":{},"ISSN":["2079-8954"],"issn-type":[{"value":"2079-8954","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,9]]}}}