文章基本信息
- 标题：Grey-Entropy Analytical Network Process for Green Innovation Practices
- 本地全文：下载
- 作者：Ming Lang Tseng ; Ming Lang Tseng ; Anthony S.F. Chiu 等
- 期刊名称：Procedia - Social and Behavioral Sciences
- 印刷版ISSN：1877-0428
- 出版年度：2012
- 卷号：57
- 页码：10-21
- DOI：10.1016/j.sbspro.2012.09.1152
- 语种：English
- 出版社：Elsevier
- 摘要：AbstractThe green innovation practice is regarded as a drive in supply chain management. This evaluation is a multiple criteria decision making (MCDM) problem and has a significant impact on the operations of the firms. This study integrated MCDM techniques that are grey theory, entropy weight and the analytical network process together to evaluate the green innovation practices under uncertainty. Hence, the objective is to select an alternative in the presence of incomplete information using multiple green innovation criteria. The result is often greatly affected by the weights used in the evaluation process. The world's largest printed circuit board manufacturer firm demonstrated the applicability of the proposed model. Subsequently, the ranks of each alternative and sensitivity analysis were calculated from incomplete information and dependence relations by applying the proposed method. © 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Asia Pacific Business Innovation and Technology Management Society (APBITM).
- 关键词：Green innovation practice;grey theory;entropy weight;analytical network process
