文章基本信息

标题：Performance drivers of green innovation under incomplete information
本地全文：下载
作者：Ming-Lang Tseng ; Ming-Lang Tseng ; Fei-hsin Huang 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2012
卷号：40
页码：234-250
DOI：10.1016/j.sbspro.2012.03.186
语种：English
出版社：Elsevier
摘要：AbstractThe 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.
关键词：innovation;grey relational analysis;entropy weight;green innovation;fuzzy set theory