{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T02:37:12Z","timestamp":1773801432280,"version":"3.50.1"},"reference-count":65,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2023,1,10]],"date-time":"2023-01-10T00:00:00Z","timestamp":1673308800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72102121"],"award-info":[{"award-number":["72102121"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>The mechanism of the impact of inter-firm social networks on innovation capabilities has attracted much research from both theoretical and empirical perspectives. However, as a special emerged and developing complex production system, how the scenario factors affect the relationship between these variables has not yet been analyzed. This study identified several scenario factors which can affect the firm\u2019s technological innovation capabilities. Take the manufacturing scenario in China as an example, combined with the need for firms\u2019 ambidexterity innovation and green innovation capability, a multi-objective simulation model is constructed. Past empirical analysis results on the relationship between inter-firm social network factors and innovation capabilities are used in the model. In addition, a numerical analysis was conducted using data from the Chinese auto manufacturing industry. The results of the simulation model led to several optimization strategies for firms that are in a dilemma of development in the manufacturing scenario.<\/jats:p>","DOI":"10.3390\/systems11010039","type":"journal-article","created":{"date-parts":[[2023,1,10]],"date-time":"2023-01-10T01:57:48Z","timestamp":1673315868000},"page":"39","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Simulation of Manufacturing Scenarios\u2019 Ambidexterity Green Technological Innovation Driven by Inter-Firm Social Networks: Based on a Multi-Objective Model"],"prefix":"10.3390","volume":"11","author":[{"given":"Xuan","family":"Wei","sequence":"first","affiliation":[{"name":"School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyu","family":"Wu","sequence":"additional","affiliation":[{"name":"Business School, Qingdao University, Qingdao 266000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9494-726X","authenticated-orcid":false,"given":"Zaoli","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Beijing University of Technology, Beijing 100000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunjia","family":"Han","sequence":"additional","affiliation":[{"name":"School of Business, Economics & Informatics, Birkbeck, University of London, London WC1E 6BT, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8779-0823","authenticated-orcid":false,"given":"Bing","family":"Xu","sequence":"additional","affiliation":[{"name":"Edinburgh Business School, Heriot-Watt University, Edinburgh TD1 3HE, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"108540","DOI":"10.1016\/j.ijpe.2022.108540","article-title":"Supply chain innovation research: A bibliometric network analysis and literature review","volume":"251","author":"Malacina","year":"2022","journal-title":"Int. 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