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.

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DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications

City logistics (CL) tends to increase efficiency and mitigate the negative effects of logistics processes and activities and at the same time to support the sustainable development of urban areas. Accordingly, various measures and initiatives are applying and various conceptual solutions are defining. The effects vary depending on the characteristics of the city. This paper proposes a framework for the selection of the CL concept which would be most appropriate for different participants, stakeholders, and which would comply with attributes of the surroundings. CL participants have different, usually conflicting goals and interests, so it is necessary to define a large number of criteria for concepts evaluation. On the other hand, the importance of the criteria is dependent on the specific situation, i.e., a large number of factors describing the surroundings. In situations like this, selecting the best alternative is a complex multi-criteria decision-making (MCDM) problem consisting of conflicting and uncertain elements. A novel hybrid MCDM model that combines fuzzy Decision Making Trial and Evaluation Laboratory Model (DEMATEL), fuzzy Analytical Network Process (ANP) and fuzzy Visekriterijumska Optimizacija i kompromisno Resenje (VIKOR) methods is developed in this paper. The model provides support to decision makers (planners, city administration, logistics service providers, users, etc.) when selecting the CL concept, which is successfully performed in this paper for the City of Belgrade.

A novel hybrid MCDM model based on fuzzy DEMATEL, fuzzy ANP and fuzzy VIKOR for city logistics concept selection

In the present paper, a novel fuzzy Multiple Attribute Decision Making (MADM) model is proposed for modeling and solving truck selection problem of a land transportation company As truck selection is a very crucial problem for the land transportation companies, a systematic and scientific approach is necessary for its solution A systematic methodology is proposed in the present study by integrating ''fuzzy DEMATEL'' and ''fuzzy hierarchical TOPSIS'' The proposed method makes use of fuzzy DEMATEL method for evaluating the weights of the criteria and hierarchical fuzzy TOPSIS method for assessing the alternatives according to criteria The steps of the method are described first then a case study is presented in the paper

Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection

https://www.ncyu.edu.tw/files/site_content/dpba/%E5%8D%87%E7%AD%89%E4%BB%A3%E8%A1%A8%E8%91%97%E4%BD%9C%E5%85%A8%E6%96%87%EF%BC%8D%E5%90%B3%E6%B3%93%E6%80%A1.pdf

Constructing a strategy map for banking institutions with key performance indicators of the balanced scorecard.

This study aims to determine the key factors affecting students’ and instructors’ continuance satisfaction with e-learning in the higher education context. In order to identify the factors that impact e-learning continuation in higher education institutions, a systematic review of the literature was conducted, revealing that the majority of studies have reported the essential role of satisfaction in mediating the relationship between 11 factors and users’ decisions to continue using e-learning systems. This study then proposed that users, both students and instructors, must continually be satisfied with the e-learning systems offered by higher education institutions if they are to continue using them. We term this ‘e-learning continuance satisfaction.’ The formation of a unified perspective of instructors and students on the core factors that impact e-learning continuance was then investigated, in addition to the causal relationships between these factors and e-learning continuance satisfaction. T...

E-learning continuance satisfaction in higher education: a unified perspective from instructors and students

Research highlights? The proposed framework can identify cause and effect relationships among strategic objectives of strategy map through processing of the expertise and knowledge of senior managers. In this process, the integrated structure is introduced for the macro level balanced scorecard. And in addition to the mathematical modeling of cause and effect relationships, a decision support system could be presented that may increase the efficiency of the balanced scorecard management system. The Balanced Scorecard (BSC) is a widely adopted performance management framework first introduced in the early 1990s. More recently, it has been proposed as the basic for a strategic management system. Strategy mapping is the most important task in building a Balanced Scorecard system. Strategy mapping is the process for visually making cause and effect relationships between all possible strategic objectives in an organization. The process for building and constructing a strategy map is a human centric activity which could be considered as the combination and integration of all knowledge and preferences of the managerial boards. From the view point of strategic decision making in an organization, the process for building a strategy map could be viewed in a general body of a unified group decision making context. If we see the strategy map, as a structural modeling framework for making the cause and effect relationships among the strategic objectives, it is possible to deploy Decision Making Trial and Evaluation Laboratory (DEMATEL) as a framework for structural modeling approach subject to the problem. The DEMATEL method gathers collective knowledge to capture the causal relationships between strategic criteria. The model is especially practical and useful for visualizing the structure of complicated causal relationships with matrices or digraphs. Generally speaking, because in building any strategy map, the assigned preferences between the objectives are not crisp necessarily, and experts' domain knowledge could be extracted in a fuzzy environment, then the extended fuzzy DEMATEL is proposed to deal with the ambiguities inherent of such the judgments.

Hossein Nasrollahzadeh

Papers

A Fuzzy DEMATEL framework for modeling cause and effect relationships of strategy map