Green Supply Chain Technology Adoption as Isomorphism in a Firm's Social Network

• Main Authors: Li-Lin Chen, 陳俐伶
• Other Authors: Hsiao-Lan Wei
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/76301257633786652050

碩士 === 國立臺灣科技大學 === 資訊管理系 === 97 === Previous research suggests that a firm's social networks will affect its behaviors. The ties between a firm and its related organizations and institutions, the strength of these ties, and the network size have different impacts on the firm. These factors may affect the firm's decision-making such as adopting a technology mandatorily or having similar behaviors with other firms. In recent years, the government and major international companies asks their cooperate companies to use the green supply chain management. Therefore, this paper attempts to understand the impacts of the green supply chain technology adoption as isomorphism in a firm's social network, especially focusing on the influences on the isomorphism effects of firms and subsequent behaviors. Base on the institutional and social network theories, this study investigates the relationships between structural characteristics and attributes of a firm's social network and three types of isomorphism, i.e., coercive, mimetic, and normative isomorphism. Then we further explore the isomorphism effects on the supply chain technology adoption of a firm. Structural characteristics and attributes of a firm's social network can be further divided into geographical network centrality and relational network centrality. Using Taiwan's LCD, semiconductor and electronic component industry as samples, we will collect data to explore the impacts of business to business social network on the isomorphism effects and the adoption of new technologies in a green supply chain. Our empirical results revel that: (1) network centrality positively affects the coercive, mimetic, and normative isomorphism; (2) coercive and normative isomorphism positively affects the adoption of new technologies in a green supply chain. Therefore, a firm's network density affects the green supply chain management information system adoption after being mediated by institutional forces.