{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:43:09Z","timestamp":1776811389290,"version":"3.51.2"},"reference-count":23,"publisher":"European Society of Computational Methods in Sciences and Engineering","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2021,11,1]]},"abstract":"<jats:p>As the internal requirement of the development of China\u2019s traditional manufacturing industry, intelligent transformation has gradually become the main goal of China\u2019s regional manufacturing transformation. From the perspective of manufacturing value chain, this paper proposes a conceptual model of intelligent transformation of manufacturing industry. Taking 22 sample cities as cases, the paper uses fuzzy set qualitative comparative analysis method to identify the necessary factors of intelligent transformation of manufacturing industry and the configuration analysis of each factor combination, and then obtains three realization paths to promote intelligent transformation. The results show that intelligent technology innovation and intelligent industry investment are the necessary conditions for the intelligent transformation of manufacturing industry, and there are three configuration paths: collaborative R&amp;D and processing, external factor driven and value chain climbing, which promote the intelligent transformation of manufacturing industry. This paper enriches the research on intelligent transformation of manufacturing industry from the perspective of value chain, and uses the qualitative comparative analysis method of fuzzy set to provide countermeasures and suggestions for the direction and path of intelligent transformation of manufacturing industry.<\/jats:p>","DOI":"10.3233\/jcm-215086","type":"journal-article","created":{"date-parts":[[2021,6,15]],"date-time":"2021-06-15T14:03:58Z","timestamp":1623765838000},"page":"1561-1573","source":"Crossref","is-referenced-by-count":6,"title":["Research on influencing factors and multiple driving paths of intelligent transformation in China\u2019s manufacturing industry"],"prefix":"10.66113","volume":"21","author":[{"given":"Jiazi","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Wen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"55691","reference":[{"issue":"4","key":"10.3233\/JCM-215086_ref1","first-page":"11","article-title":"Structural transformation and time-varying characteristics of the evolution of China\u2019s new industrialization road","volume":"33","author":"Yan","year":"2019","journal-title":"Soft Science"},{"key":"10.3233\/JCM-215086_ref2","first-page":"1","article-title":"40 years of Chinese manufacturing industry: intelligent process and prospect","volume":"1","author":"Li","year":"2019","journal-title":"China Soft Science"},{"issue":"10","key":"10.3233\/JCM-215086_ref3","first-page":"25","article-title":"Manufacturing and energy systems","volume":"27","author":"Thomas","year":"2017","journal-title":"Computers and Chemical Engineering"},{"issue":"6","key":"10.3233\/JCM-215086_ref4","first-page":"231","article-title":"Towards Identification of the Hierarchical Link between Industry 4.0, Smart Manufacturing","volume":"3","author":"Sarah","year":"2019","journal-title":"International Journal of Supply and Operations Management"},{"issue":"17","key":"10.3233\/JCM-215086_ref5","first-page":"171","article-title":"Smart manufacturing and intelligent manufacturing: A comparative review","volume":"7","author":"Wang","year":"2020","journal-title":"Engineering"},{"key":"10.3233\/JCM-215086_ref6","doi-asserted-by":"crossref","unstructured":"T. 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