Chao-Feng Hsu

Chao-Feng Hsu


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2019 in IEEE Access
Verified
Journal Article
Open access
ALAijun Liu
Aijun Liu
YZYan Zhang
Yan Zhang
HLHui Lu
Hui Lu
Sang-Bing TsaiSang-Bing Tsai
Sang-Bing Tsai
CHChao-Feng Hsu
Chao-Feng Hsu
CLChien-Hung Lee
Chien-Hung Lee
Supplier selection for aquatic products E-commerce has aroused widespread concern due to the characteristics of fresh products and the popularity of the network. This paper proposes a novel fuzzy group decision method, which not only integrates Quality Function Deployment (QFD) and improved Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS), but also combines the qualitative analysis and quantitative analysis. Moreover, this method contains two stages, in the first stage, QFD is applied to determine the weights of customer requirements (CRs) and company strategies (CSs) by analyzing the relationship between CRs and CSs, the subjective importance weights of criteria can be derived, in addition, the House of Quality (HOQ) is used to characterize the above process. To address the uncertainty in the selection process, intuitionistic fuzzy numbers (IFNs) are provided to describe the imprecise information, which take membership degree, non-membership degree and hesitation degree into consideration; in the second stage, a novel ranking method is proposed based on the improved TOPSIS, the objective importance weights of criteria are obtained, then the integrated importance criteria weights are calculated and a new ranking index is provided to rank the suppliers. What’s more, a case study illustrates the effectiveness and applicability of the proposed method. Finally, comparative analysis and sensitivity analysis are carried to demonstrate the robustness and effectiveness of the proposed method. The result shows that the proposed TOPSIS-based method can help companies monitor supplier performance and provide customers with quality products and services.

3 May 2018 in Sustainability
Verified
Journal Article
Open access
PDF file
CQChen Quan
Chen Quan
Sang-Bing TsaiSang-Bing Tsai
Sang-Bing Tsai
YZYuming Zhai
Yuming Zhai
CCChien-Chi Chu
Chien-Chi Chu
JZJie Zhou
Jie Zhou
CHChao-Feng Hsu
Chao-Feng Hsu
Individual microcredit loans involve large quantities and small amounts and necessitate rapid approval, therefore making simple and fast application approvals rather critical. Creditors must evaluate clients’ credit status and default risk within the shortest time when determining whether to approve or decline their applications, preventing overdue responses that negatively impact bank profits and management practices, and could trigger domestic financial crises. This study investigates client credit quality criteria, focusing on the expert opinions of bank managers. The decision-making trial and evaluation laboratory method is adopted to enable a comparison and analysis of the similarities and differences in how banks evaluate their clients’ character, ability, financial capability, and collateral. Based on causality and correlations among the criteria, we also identify the core problems and key improvement criteria in the evaluation system. Through survey results of professional managers from Taiwanese banks, this study uses the DEMATEL method to compare the differences in bank evaluation methods based on the four dimensions of clients’ character, ability, pockets, and collateral, as well as the corresponding 14 criteria. In order to improve the reliability and usefulness in bank client credit risk assessment, the assessment dimensions and indicators of bank client credit risk assessment are first discussed; second, the causal relationship and degree of mutual influence between different dimensions and criteria are researched and assessed; in the end, the paper discusses how to improve the function and the benefits of bank client credit risk assessment.

1 January 2017
Verified
Conference Paper
Open access
PDF file
CHChao-Feng Hsu
Chao-Feng Hsu
BLBiru Lee
Biru Lee
Online banking not only saves many labor costs of banks, but also time of users. The key factors influencing the service quality of online banking are being explored till now, because the demands of customers are ever-changing. It is a prominent challenge for the practitioners of the banking and financial sectors to distinguish themselves in the Internet financial market, enhance service quality, and strengthen competitive strategies. Importance-Performance Analysis Model is a method commonly adopted to assess performance and analyze competitive strategies. This study employed IPA to probe into the service performance, advantages, disadvantages of the online banking of the sample and the analysis results will serve as the basis of the company for improvement.