| Title |
Resource management practice through eco-innovation toward sustainable development using qualitative information and quantitative data |
| ID_Doc |
65424 |
| Authors |
Lee, CH; Wu, KJ; Tseng, ML |
| Title |
Resource management practice through eco-innovation toward sustainable development using qualitative information and quantitative data |
| Year |
2018 |
| Published |
|
| DOI |
10.1016/j.jclepro.2018.08.058 |
| Abstract |
Many firms are aware that eco-innovation is an important issue in resource management practice due to its contribution to firms' competencies and capabilities. Eco-innovation represents a differentiating attribute for sustainable business in fiercely competitive environments. However, prior studies have not examined the role of eco-innovation in sustainable development through hierarchical structural analysis of resource management practice to address firms' capabilities and competencies; in particular, the attributes contain qualitative information and quantitative data. This study proposes a hybrid method comprising the fuzzy Delphi method, importance-performance analysis, and a decision-making trial and evaluation laboratory to rank the attributes and assist firms in decision-making. The result supports the use of advanced eco-friendly technologies and the selection of potential talent to support eco-innovation and foster changes in strategic vision, management structure, and administrative procedures. Clear policies and procedures, mutual trust and respect, and sales staff characteristics are needed to improve firm performance toward sustainable business. (C) 2018 Elsevier Ltd. All rights reserved. |
| Author Keywords |
Eco-innovation; Resource management practice; Fuzzy delphi method; Importance-performance analysis; Decision-making trial and evaluation; laboratory (DEMATEL) |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000448098000012 |
| WoS Category |
Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences |
| Research Area |
Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology |
| PDF |
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