{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:42:50Z","timestamp":1760060570189,"version":"build-2065373602"},"reference-count":45,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T00:00:00Z","timestamp":1757376000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Young Innovative Talents in General Universities of Guangdong Province in China","award":["2022WQNCX204","25JL01","KJJR202408"],"award-info":[{"award-number":["2022WQNCX204","25JL01","KJJR202408"]}]},{"name":"Annual Project of the Jiangxi Provincial Social Science Fund","award":["2022WQNCX204","25JL01","KJJR202408"],"award-info":[{"award-number":["2022WQNCX204","25JL01","KJJR202408"]}]},{"name":"Open Research Projects of Scientific Research Platforms in Sichuan Province of China","award":["2022WQNCX204","25JL01","KJJR202408"],"award-info":[{"award-number":["2022WQNCX204","25JL01","KJJR202408"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>With global supply chains being reshaped and costs surging, China\u2019s manufacturing sector faces mounting pressure to retain its position as the world\u2019s largest manufacturing center. Meeting this challenge demands the full mobilization of digital factors, which has attracted increasing academic attention. However, limited research has examined how the effective integration of digital factors with traditional production factors can improve corporate performance. With data on Chinese manufacturing enterprises from the A-share market, this study employs a fixed effect model and a mediating effect model to analyze how the synergies between digital and traditional factors enhance corporate performance. Further, it illustrates the heterogeneous impacts across different types of enterprises. The results reveal three key findings. First, the synergies between digital and traditional factors significantly enhance corporate performance, with digital\u2013capital synergy proving more effective than digital\u2013labor synergy. Second, this synergy promotes performance improvement through three primary mechanisms: strengthening internal control quality, fostering business model innovation, and increasing product differentiation. Third, the performance effects of multi-factor synergies vary considerably across enterprise types, being more pronounced in non-state-owned enterprises, firms with strong digital attributes, and firms without political connections. Overall, this study offers valuable insights for manufacturing firms seeking a competitive edge in high-end and intelligent manufacturing within an increasingly globalized competitive landscape.<\/jats:p>","DOI":"10.3390\/info16090781","type":"journal-article","created":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T09:32:01Z","timestamp":1757496721000},"page":"781","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Digital Technology Deployment and Improved Corporate Performance: Evidence from the Manufacturing Sector in China"],"prefix":"10.3390","volume":"16","author":[{"given":"Liwen","family":"Cheng","sequence":"first","affiliation":[{"name":"School of Finance and Economics, Shenzhen University of Information Technology, Shenzhen 518172, China"}]},{"given":"Rui","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Zhejiang Shuren University, Hangzhou 310015, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9736-9503","authenticated-orcid":false,"given":"Xihui","family":"Chen","sequence":"additional","affiliation":[{"name":"Hangzhou International Urbanology Research Center (Center for Zhejiang Urban Governance Studies), Hangzhou 310020, China"},{"name":"School of Management, Zhejiang University of Technology, Hangzhou 310023, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5983-6898","authenticated-orcid":false,"given":"Luca","family":"Esposito","sequence":"additional","affiliation":[{"name":"Department of Economics, University of Foggia, 71121 Foggia, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2025,9,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"112150","DOI":"10.1016\/j.econlet.2024.112150","article-title":"Green Bonds and Intelligent Manufacturing: Evidence from Listed Firms in China","volume":"247","author":"Zhou","year":"2025","journal-title":"Econ. 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