Critical factors of sustainable innovation capability identify method based on fuzzy theory and dematel

Shao-hui, Dong; Lan, Tian; Li, Rongping

doi:10.1109/icmlc.2016.7872988

Cited by 2 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DEMATEL method was initially developed in 1970s in the "Science and Human Affairs Program of the Battelle Memorial Institute of Geneva" to study the intricate and intertwined problematic group. It has been extensively acknowledged as one of the best tools to solve the cause and effect relationships among the evaluation criteria Kusi-Sarpong et al, 2016;Dong et al, 2016;Gan & Luo, 2017;Gołąbeska, 2018;Sivakumar et al, 2018;Moktadir et al, 2018;Mangla et al, 2018) for its substantial benefits (Zhu et al, 2011;Bai & Sarkis, 2013;Bouzon et al, 2018) over other multi criteria decision making methods. The procedure (Yu & Tseng, 2006;Liou et al, 2007;Tzeng et al, 2007;Wu & Lee, 2007;Yang, et al, 2008;Shieh et al, 2010) of DEMATEL method is presented below in Figure 1.…”

Section: Dematel Methodsmentioning

confidence: 99%

Decision Making Using DEMATEL: Avoid the Big Mistake

Islam¹,

Mustafa²

2020

JHSSR

View full text Add to dashboard Cite

Multi Criteria Decision Making, a quite common task in operation management, uses Decision Making Trial and Evaluation Laboratory method widely to identify causal relationships among factors and to draw attention to valuable insights. The scope of this method has reached the manufacturing industry, social activities, farming, financial system, environmental science, energy, and other areas, and has solved numerous practical problems. But the author has found that the results are significantly misleading as and when it is applied with global (or overall) consideration or even elements/category of unequal weights. To show the serious differences in the results misguiding decision makers, an example has been demonstrated in this study. Some previous studies are also presented in this regard. In any case, the result of the Decision Making Trial and Evaluation Laboratory from global calculation and analysis can be corrected if performed based on distinct elements (cluster wise) separately. Grading success or failure factors as per distinct elements of a system and integrating them as per criticality found at the element level, is an added methodology to the existing knowledge of using Decision Making Trial and Evaluation Laboratory. This new approach will help to decide critical factors in a truly holistic way and implement any principles, policies, or system more confidently.

show abstract