C
Chia Chi Sun
Researcher at Tamkang University
Publications - 9
Citations - 365
Chia Chi Sun is an academic researcher from Tamkang University. The author has contributed to research in topics: Service provider & Analytic hierarchy process. The author has an hindex of 7, co-authored 9 publications receiving 298 citations.
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Evaluating the criteria for human resource for science and technology (HRST) based on an integrated fuzzy AHP and fuzzy DEMATEL approach
TL;DR: It is found out Infrastructure might be more critical since it is a cause and will directly influence human resource for science and technology performance and improvement should be started with Infrastructure.
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Assessing the Human Resource in Science and Technology for Asian Countries: Application of Fuzzy AHP and Fuzzy TOPSIS
TL;DR: The fuzzy TOPSIS analysis indicates that Singapore, South Korea, and Taiwan have similarities in their desired levels of HRST performance, which indicates that these three countries have better HRST performances than other Southeast Asian countries.
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Combining grey relation analysis and entropy model for evaluating the operational performance: an empirical study
TL;DR: This paper would introduce entropy into the weighting calculation of the grey relational analysis method for improving the precision and provides more flexible and objective information in determine the weights vector of the criteria.
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An Extended TAM to Explore Behavioural Intention of Consumers to Use M-Commerce
TL;DR: The authors' findings indicated that the younger group (under 30) had lower stickiness to m-commerce, and perceived enjoyment had the most significant influence on BI, followed by attitude, perceived ease of use, perceived usefulness and perceived risk.
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An integrate method for performance of women in science and technology based on entropy measure for objective weighting
TL;DR: In this article, the authors used the VIKOR and entropy method to evaluate the performance of WIST and rank the priorities for them accordingly, and found that the first two important factors for the performance were a higher education sector and government sector women researchers, as a percentage of the total researchers.