Author
Fu-Hsiang Chen
Other affiliations: National Taiwan University of Science and Technology, National Taipei University
Bio: Fu-Hsiang Chen is an academic researcher from Chinese Culture University. The author has contributed to research in topics: Corporate social responsibility & Multiple-criteria decision analysis. The author has an hindex of 10, co-authored 27 publications receiving 529 citations. Previous affiliations of Fu-Hsiang Chen include National Taiwan University of Science and Technology & National Taipei University.
Papers
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TL;DR: An effective performance evaluation model developed by applying the hybrid MCDM enables business managers to understand the appropriate actions and achieve a competitive advantage.
307 citations
TL;DR: In this paper, the authors set up a new sustainability sports industry policy evaluation model that addresses the main causal factors and amends the priorities to improve the sustainability of sports industry policies, including promotion and assistance of government policy, sports venues and facilities, enterprise sponsorship of sports quality, expert human resources, and sports competitions and events.
Abstract: The influence of globalization on sports has turned out to be a popular issue widely discussed by researchers. Improvement to the sustainability of sports industry policy is an important and challenging issue, and related are inherently multiple attribute decision making (MADM) problems that can be strategically important to economic systems. The purpose of this study is to set up a new sustainability sports industry policy evaluation model that addresses the main causal factors and amends the priorities. A MADM model is combined with DEMATEL, DANP, and VIKOR for the evaluation and improvement of the sustainability of sports industry policy. The improvement priorities according to the domain expert interviews are in the following order: promotion and assistance of government policy (A), sports venues and facilities (D), enterprise sponsorship of sports quality (E), expert human resources (B), and finally sports competitions and events (C).
36 citations
TL;DR: In this paper, the authors analyzed websites of benchmark companies for establishing an evaluation model to be a reference for CSR website design, and the recommended improvement priorities according to results of the expert interviews were provided.
Abstract: Corporations would utilize advanced information technologies for generating corporate social responsibility (CSR) reports and communicating with their stakeholders. However, corporations often could not determine whether their CSR websites are capable of effective communication with the stakeholders. The purpose of this study would be to analyze websites of benchmark companies for establishing an evaluation model to be a reference for CSR website design. Information from expert interviews carried out in this study underwent DEMATEL method for analyzing the mutual relationships between the quality criteria and dimensions of CSR websites. DANP was then used to calculate the weight of each criterion. Finally, we would make use VIKOR method to prioritize the performance CSR website satisfaction. The following provides the recommended improvement priorities according to results of the expert interviews: service quality (C) followed by information quality (B) followed by technical quality (A).
30 citations
TL;DR: Based on interviews with partners of Taiwanese certified public accountant firms, the authors finds that Client is the most important factor, followed by Internal processes, Learning and growth, and then Finance. But the empirical result shows that client orientation rather than price-cutting may be a right strategy.
29 citations
TL;DR: Zhang et al. as mentioned in this paper used the back propagation neural network (BPN) and decision tree (C5.0) to detect if a company's earnings were seriously manipulated.
28 citations
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01 Jan 1994
TL;DR: In this Chapter, a decision maker (or a group of experts) trying to establish or examine fair procedures to combine opinions about alternatives related to different points of view is imagined.
Abstract: In this Chapter, we imagine a decision maker (or a group of experts) trying to establish or examine fair procedures to combine opinions about alternatives related to different points of view.
1,329 citations
TL;DR: 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 as discussed by the authors, which deals with evaluating interdependent relationships among factors and finding the critical ones through a visual structural model.
Abstract: 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.
429 citations
TL;DR: Machine learning algorithms are used to detect credit card fraud and results positively indicate that the majority voting method achieves good accuracy rates in detecting fraud cases in credit cards.
Abstract: Credit card fraud is a serious problem in financial services. Billions of dollars are lost due to credit card fraud every year. There is a lack of research studies on analyzing real-world credit card data owing to confidentiality issues. In this paper, machine learning algorithms are used to detect credit card fraud. Standard models are first used. Then, hybrid methods which use AdaBoost and majority voting methods are applied. To evaluate the model efficacy, a publicly available credit card data set is used. Then, a real-world credit card data set from a financial institution is analyzed. In addition, noise is added to the data samples to further assess the robustness of the algorithms. The experimental results positively indicate that the majority voting method achieves good accuracy rates in detecting fraud cases in credit cards.
249 citations
TL;DR: The general picture is depicted, which provides a classification of methods related to criteria interaction phenomenon, and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytical Network Process (ANP) hybridizations first time in the literature are discussed/reviewed.
Abstract: An analysis of DEMATEL approaches for criteria interaction handling within ANP.A classification of the methods related to criteria interaction phenomenon in MADM.Detailed explanations and numerical examples are given.Bibliometric analysis is provided. Majority of the Multiple-Attribute Decision Making (MADM) methods assume that the criteria are independent of each other, which is not a realistic assumption in many real world problems. Several forms of interactions among criteria might occur in real life situations so that more sophisticated/intelligent techniques are required to deal with particular needs of the problem under consideration. Unfortunately, criteria interaction concept is very little issued in the literature. It is still a very important and critical research subject for intelligent decision making within MADM. The present paper aims to put a step forward to fill this gap by depicting the general picture, which provides a classification of methods related to criteria interaction phenomenon, and discuss/review the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytical Network Process (ANP) hybridizations first time in the literature. DEMATEL and ANP hybridizations grab remarkable attention of decision analysis community in recent years and seem as one of the most promising approaches to handle criteria interactions in a MADM setting.
248 citations
TL;DR: In this paper, a multi-criteria decision-making approach is applied using the Decision Making Trial and Evaluation Laboratory Model (DEMATEL) technique, integrated with ANP for selecting the most appropriate RER in Turkey from an investor-focused perspective.
244 citations