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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:女
毕业院校:东北大学
学位:博士
所在单位:金融与会计研究所
学科:金融学
电子邮箱:shijinyan@dlut.edu.cn
SUPPLY NETWORK POSITION AND FIRM PERFORMANCE: EVIDENCE FROM CHINESE LISTED MANUFACTURING COMPANIES
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论文类型:期刊论文
发表时间:2019-01-01
发表刊物:JOURNAL OF BUSINESS ECONOMICS AND MANAGEMENT
收录刊物:SSCI
卷号:20
期号:6
页面范围:1258-1277
ISSN号:1611-1699
关键字:firm performance; supply network position; network centrality; structural holes; relational embeddedness; structural embeddedness
摘要:The aim of this paper is to examine the relationship between supply network position and firm performance. A-share manufacturing companies listed from 2013 to 2015 are chosen as the initial samples, and large sample supply networks are constructed with relational embeddedness and structural embeddedness. The location of supply network is depicted by network centrality and structural hole with social network analysis, and the influence of supply network position on the corporate performance is examined with multiple OLS regression analysis. This paper observes that a firms' supply network position is an important factor affecting its performance. The higher the network centrality is, the richer the structural holes are, and the worse the company's performance is. The results suggest that firms that have a high level of centrality or rich structural holes in their supply networks will gain limited information, resource and control benefits and face great business risks that may negatively influence their performance.