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作 者:文金艳[1] 曾德明[1] 徐露允 禹献云[3] Wen Jinyan;Zeng Deming;Xu Luyun;Yu Xianyun(Business School,Hunan University,Changsha 410082,Hunan,China;Business School,Hunan Normal University,Changsha 410081,Hunan,China;Management School,Hanzhou Dianzi University,Hanzhou 310018,Zhejiang,China)
机构地区:[1]湖南大学工商管理学院,湖南长沙410082 [2]湖南师范大学商学院,湖南长沙410081 [3]杭州电子科技大学管理学院,浙江杭州310018
出 处:《科研管理》2020年第12期195-203,共9页Science Research Management
基 金:国家自然科学基金重点项目(71233002,2013—2017);国家自然科学基金青年项目(71603080,2017—2019)。
摘 要:基于中国汽车产业标准联盟网络中所有车辆生产企业1999至2013年的数据,采用负二项随机效应回归模型,实证分析标准联盟网络结构洞位置和多样性构成如何影响企业技术标准化主导能力和跟随能力。结果表明:标准联盟网络结构洞对两类技术标准化能力均有正向影响;网络多样性负向影响技术标准化主导能力,但正向影响技术标准化跟随能力;网络多样性正向调节结构洞对技术标准化主导能力的正向影响,但却负向调节结构洞对技术标准化跟随能力的正向影响。研究结论是对标准化理论体系的有益补充,也为企业构筑适配的标准联盟网络以实施技术标准化主导战略和跟随战略提供有价值参考。Standard-setting alliances are important channels for external resource acquisition, having vital effects on firm′s technological standardization capabilities. The literature of standardization collaboration mainly focuses on the incentives of joining standardization alliances, and the effect of participation in standardization alliances on firm performance. This stream of research has helped to explain why participating in standard-setting alliances may shape a firm′s technological standardization capability, but it has largely ignored that a firm′s capability in technology standardization process will differ because of differentiated structure and composition features of standard-setting alliance network. This study is designed to address this research gap and gain further understanding about how structural holes and network diversity affect firms′ technological standardization dominant capability and following capability. The focus of the paper is on the formal standardization process as opposed to de facto standardization, as formal standards play an increasingly important role in industry development and national economic growth in Europe, China and other emerging markets. The research setting for this study is the Chinese automobile industry. Firms in this industry are involved in the design, development, manufacturing, marketing, and selling of motor vehicles. The automobile industry is a technology-intensive industry where formal standards have important repercussions for firm performance, and the highly-complex and multicomponent products in this industry determines that technical standards need collaborations between firms, suppliers, customers and other organizations. Hypotheses are tested based on a panel data set of 170 Chinese vehicle manufacturers from 1999 to 2013. This study estimates random-effects panel data models to accounts for unobserved heterogeneity by allowing for individual effects. And because the dependent variables are count variables and exhibit overdispersion, a negative bi
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