Performance drivers of green innovation under incomplete information

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• 作者：Ming-Lang Tseng^a ; Fei-hsin Huang^a ; ^{tsengminglang@gmail.com} ; Anthony S.F. Chiu^b
• 关键词：innovation ; grey relational analysis ; entropy weight ; green innovation ; fuzzy set theory
• 刊名：Procedia - Social and Behavioral Sciences
• 出版年：2012
• 期刊代码：P145_18770428
• 类别：soc
• 出版时间：2012
• 卷：40
• 期：Complete
• 页码：234-250
• 文件大小：190 K

摘要

The environmental management practices have been well studied; few studies are presented the firm's green innovation activities. This study is adopted to evaluate the green innovation for environment management, with a particular focus on managerial, process, product and technological aspects. The empirical analysis from Taiwanese printed circuit board manufacturing firm's reveals that such studies does exist and that the effect of focal firm's green innovation activities has been evaluated. This study identified the appropriate green innovation criteria for the case firms and developed the following selection method: (i) evaluate the weights of aspects, criteria and alternatives as described both by linguistic preferences; and (ii) rank alternative suppliers using a grey relational analysis with entropy weight. This study presents theoretical and empirical evidence of green innovation drivers in the domains of environmental management and has interesting implications for operations management research and practices. This knowledge may contribute to better decision-making towards implementing green innovation practices.