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dc.contributor.authorJiang, Hong
dc.contributor.authorGao, Sipeng
dc.contributor.authorSong, Yang
dc.contributor.authorSheng, Kuang
dc.contributor.authorAmaratunga, Gehan A. J.
dc.date.accessioned2019-12-19T01:08:01Z
dc.date.available2019-12-19T01:08:01Z
dc.date.issued2019-12-17
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/300102
dc.description.abstractAgainst the background of economic globalization, high-technology enterprises need to focus on the characteristics of corporate collaboration R networks and Standard-Setting. In this paper, theoretical research on corporate collaboration R network characteristics, technology standard-setting capability, and technology innovation performance is carried out, and a theoretical model and hypotheses are constructed. We apply Structural Equation Modeling (SEM) to conduct an empirical analysis based on national data surveys of 12 industries. The conclusions are as follows: (1) Corporate collaboration R networks and technology standard-setting capability have a positive and significant impact on technology innovation performance; (2) Technology’s standard-setting capability has been identified to play a full intermediary role in the relationship between the breadth of connections and innovation efficiency. This paper provides a practical reference for enterprises to assess the value of collaborative R networks and improve their technology standard-setting capability for enhanced economic efficiency.
dc.languageen
dc.subjectcorporate collaboration R
dc.subjectD network
dc.subjecttechnology innovation
dc.subjecttechnology standard-setting capability
dc.subjecttechnology innovation performance
dc.titleAn Empirical Study on the Impact of Collaborative R Networks on Enterprise Innovation Performance Based on the Mediating Effect of Technology Standard Setting
dc.typeArticle
dc.date.updated2019-12-19T01:08:01Z
dc.identifier.doi10.17863/CAM.47176
dcterms.dateAccepted2019-12-12
rioxxterms.versionofrecord10.3390/su11247249
rioxxterms.versionVoR
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
dc.identifier.eissn2071-1050
pubs.funder-project-idNational Natural Science Foundation of China (71774067)


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