{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T18:39:49Z","timestamp":1782931189287,"version":"3.54.5"},"reference-count":45,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2022,8,18]],"date-time":"2022-08-18T00:00:00Z","timestamp":1660780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012456","name":"National Social Science Foundation of China","doi-asserted-by":"publisher","award":["19BGL047"],"award-info":[{"award-number":["19BGL047"]}],"id":[{"id":"10.13039\/501100012456","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>The technology innovation of high-tech industries has become an important support for the innovation-driven strategy. This study introduces innovation ecosystem synergy as a moderating variable from a systemic and holistic perspective based on the traditional perspective of innovation factor input-output, and helps construct a technology innovation performance driving model based on the Cobb\u2013Douglas knowledge production function, which enriches the discussion perspective and theoretical model research on technology innovation performance. With a sample of 28 provinces in mainland China, this study empirically analyzed the moderating mechanism of innovation performance by innovation synergy in high-tech industries during the two stages of technology development and technology transformation. The findings of the study are as follows: (1) Independent research and development has a positive and significant impact on technology development performance; product innovation has a positive and significant impact on technology transformation performance; (2) Technology introduction can weaken technology development performance due to technology dependence and the inhibitory effect on independent innovation, and inefficient technology renovation can negatively and significantly affect technology transformation performance.; (3) The degree of synergy has a positive and significant impact on the performance of technology development innovation and technology transformation innovation. The degree of synergy has a positive moderating effect on the innovation performance of independent R&amp;D and technology development, as well as product innovation and technology renovation, and a negative moderating effect on the innovation performance of technology introduction and technology development, but no significant moderating effect on technology renovation and technology transformation performance. The research results can provide a reference for the improvement of the technology innovation performance of regional high-tech industries.<\/jats:p>","DOI":"10.3390\/systems10040124","type":"journal-article","created":{"date-parts":[[2022,8,19]],"date-time":"2022-08-19T02:48:23Z","timestamp":1660877303000},"page":"124","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["How Innovation Ecosystem Synergy Degree Influences Technology Innovation Performance\u2014Evidence from China\u2019s High-Tech Industry"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9456-3127","authenticated-orcid":false,"given":"Xiangwu","family":"He","sequence":"first","affiliation":[{"name":"Department of Information Management and Information Systems, School of Business, Jiaxing University, Jiaxing 314001, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1844-1149","authenticated-orcid":false,"given":"Ming","family":"Xia","sequence":"additional","affiliation":[{"name":"Department of Management Science and Engineering, School of Economics and Management, Tongji University, Shanghai 200092, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiuxian","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Network Engineering, School of Artificial Intelligence, Shanghai Normal University Tianhua College, Shanghai 201815, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Management Science and Engineering, School of Economics and Management, Tongji University, Shanghai 200092, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhimin","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Business Administration, School of Management, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,8,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"801","DOI":"10.1016\/j.jbusres.2022.03.041","article-title":"Innovation in emerging economies: Research on the digital economy driving high-quality green development","volume":"145","author":"Ma","year":"2022","journal-title":"J. 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