DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications
By Sheng-Li Si, Xiao-Yue You, Hu-chen Liu, Ping Zhang. 2018
1,039 citations recorded by the source corpus.
Decision making trial and evaluation laboratory (DEMATEL) is considered as an effective method for the identification of cause-effect chain components of a complex system. It deals with evaluating interdependent relationships among factors and finding the critical ones through a visual structural model. Over the recent decade, a large number of studies have been done on the application of DEMATEL and many different variants have been put forward in the literature. The objective of this study is to review systematically the methodologies and applications of the DEMATEL technique. We reviewed a total of 346 papers published from 2006 to 2016 in the international journals. According to the approaches used, these publications are grouped into five categories: classical DEMATEL, fuzzy DEMATEL, grey DEMATEL, analytical network process- (ANP-) DEMATEL, and other DEMATEL. All papers with respect to each category are summarized and analyzed, pointing out their implementing procedures, real applications, and crucial findings. This systematic and comprehensive review holds valuable insights for researchers and practitioners into using the DEMATEL in terms of indicating current research trends and potential directions for further research.
Subfields: Management Science and Operations Research, Renewable Energy, Sustainability and the Environment, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/9375192819cae9b015e73a2b0b5abed7e8f1ea5a
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In Strategy and Management
Citations in the corpus
- Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective (2020, methodology): “0 in developing and developed countries? Grey-DEMATEL is a technique that identifies the total degree of influence of each barrier on other barriers, resulting in a better decoding of the uncertainty and vagueness contained in responses from experts (Si et al., 2018).”
- Evaluating the factors that influence blockchain adoption in the freight logistics industry (2020, neutral): “…al., 2018), BWM (see Kusi-Sarpong et al., 2019; Orji et al., 2020; Kumar et al., 2020), ANP (see Büyüközkan and Güleryüz, 2016; Chemweno et al., 2015; Hallikainen, 2009; Lam, 2015; Zhu et al, 2018), DEMATEL (see Si et al., 2018; Büyüközkan and Güleryüz, 2016; Ordoobadi, 2012; Wu et al., 2015), etc.”