A grey DEMATEL-based approach for modeling enablers of green innovation in manufacturing organizations.
Clicks: 184
ID: 75425
2018
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Steady Performance
77.1
/100
181 views
145 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Incorporating green practices into the manufacturing process has gained momentum over the past few years and is a matter of great concern for both manufacturers as well as researchers. Regulatory pressures in developed countries have forced the organizations to adopt green practices; however, this issue still lacks attention in developing economies like India. There is an urgent need to identify enablers of green innovation for manufacturing organizations and also to identify prominent enablers among those. This study is an attempt to first identify enablers of green innovation and then establish a causal relationship among them to identify the enablers that can drive others. Grey DEMATEL (Decision Making Trial and Evaluation Laboratory) methodology is used for establishing the causal relationship among enablers. The novelty of this study lies in the fact that no study has been done in the past to identify the enablers of green innovation and then establishing the causal relationship among them. A total of 21 enablers of green innovation have been identified; research indicates developing green manufacturing capabilities, resources for green innovation, ease of getting loans from financial institutions, and environmental regulations as the most influential enablers of green innovation. Managerial and practical implications of the research are also presented to assist managers of the case company in adopting green innovation practices at their end.
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (217 words).
Try re-searching for a better abstract.
| Reference Key |
gupta2018aenvironmental
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Gupta, Himanshu;Barua, Mukesh Kumar; |
| Journal | Environmental science and pollution research international |
| Year | 2018 |
| DOI |
10.1007/s11356-018-1261-6
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.