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Fu-Hsiang Chen
Researcher at Chinese Culture University
Publications - 28
Citations - 650
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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A balanced scorecard approach to establish a performance evaluation and relationship model for hot spring hotels based on a hybrid MCDM model combining DEMATEL and ANP
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.
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Evaluating the Improvement of Sustainability of Sports Industry Policy Based on MADM
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.
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Evaluating the Enhancement of Corporate Social Responsibility Websites Quality Based on a New Hybrid MADM Model
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.
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A hybrid multiple criteria decision making model of sustainability performance evaluation for Taiwanese Certified Public Accountant firms
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.
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Detecting biotechnology industry's earnings management using Bayesian network, principal component analysis, back propagation neural network, and decision tree
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.