4.8 Article

Social capital, exploitative and exploratory innovations: The mediating roles of ego-network dynamics

期刊

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
卷 126, 期 -, 页码 244-258

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.techfore.2017.09.004

关键词

Exploratory innovation; Exploitative innovation; Mediation model; Network dynamics; Social capital; Social network

资金

  1. National Natural Science Foundation of China [71673261, 71373254]
  2. Research Team of Natural Science Foundation of Guangdong Province in China [2016A030312005]

向作者/读者索取更多资源

Previous research has considered researchers' social capital as a determinant of innovation. However, how individual social capital affects exploitative and exploratory innovations has not yet been sufficiently addressed. The purpose of this study is to demonstrate what and how social capital affects two types of innovations at the researcher level, by positing and testing ego-network dynamics as important mediators of the social capital innovation process. We collect a panel patent dataset from a large US biotechnology company between 1976 and 2013, and conduct data analysis using Negative Binomial (NB) model and robust tests (e.g., Sobel test and 2SLS model). Results indicate that individual relational capital has a negative effect on exploratory innovation, but a positive effect on exploitative innovation. Structural capital positively affects both types of innovation. Cognitive capital has a positive impact on exploratory innovation but not exploitative innovation. The findings further show how ego-network stability and ego-network expansion mediate the relationships between social capital and two types of innovations. This paper contributes to exploitative and exploratory innovations theory by introducing social capital and network dynamics as important factors and mediators, and social network theory by exploring the antecedent and subsequence of ego-network dynamics.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据