{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T05:14:56Z","timestamp":1761974096516,"version":"build-2065373602"},"reference-count":52,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T00:00:00Z","timestamp":1761782400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The National Social Science Fund of China","award":["24BGL307"],"award-info":[{"award-number":["24BGL307"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>At present, the construction of China\u2019s shared manufacturing platform is developing rapidly. However, it is still in the stage of practical exploration, facing numerous challenges, such as difficulties in resource integration, immature business models, and a weak digital foundation. This paper takes Changzhou Zhiyun Tiangong\u2019s \u201cSuper Virtual Factory\u201d as an example, utilizing the grounded theory to conduct a case study on this shared manufacturing platform. Using a \u2018condition-action-result\u2019 framework, this paper explores the value co-creation (VCC) mechanism in a shared manufacturing ecosystem. We analyze how digital intelligence convergence (DIC) and supply chain collaboration (SCC) facilitate the digital intelligence transformation of consumption, production capacity, and products. The study finds that consumer insight, technological drive, government support, enterprise challenges, and the Changzhou home appliance industry cluster are the internal driving forces for the shared manufacturing ecosystem to carry out industrial ecological VCC; DIC and SCC are the two key elements for digital intelligence technology empowerment. Digital intelligence technology is empowered from three aspects\u2014technology, resources, and structure\u2014enabling organizational members with capability and authority while achieving \u201cdecentralization\u201d of industrial chains. Finally, digital intelligence empowerment enables the shared manufacturing ecosystem to achieve VCC of the industrial ecosystem, thereby establishing a VCC model for the digital intelligence empowerment shared manufacturing ecosystem. The results of the study not only help enrich the theory of VCC in shared manufacturing platforms but also provide practical insights for the digital intelligence transformation of traditional manufacturing enterprises.<\/jats:p>","DOI":"10.3390\/systems13110969","type":"journal-article","created":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T05:28:43Z","timestamp":1761888523000},"page":"969","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on the Value Co-Creation Mechanism of Digital Intelligence Empowerment in Shared Manufacturing Ecosystems: Taking Zhiyun Tiangong as an Example"],"prefix":"10.3390","volume":"13","author":[{"given":"Yanlei","family":"Pan","sequence":"first","affiliation":[{"name":"School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212000, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7827-3939","authenticated-orcid":false,"given":"Hao","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212000, China"}]}],"member":"1968","published-online":{"date-parts":[[2025,10,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"106602","DOI":"10.1016\/j.cie.2020.106602","article-title":"Shared manufacturing in the sharing economy: Concept, definition and service operations","volume":"146","author":"Yu","year":"2020","journal-title":"Comput. 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