Study on the Key Success Factors of Internet Banks – Using Fuzzy Analytic Hierarchy Process
碩士 === 開南大學 === 財務金融學系 === 97 === This study adopted literature review and expert interview to discuss the key success factors of Internet banks. Expert interview was also employed to evaluate the relative significance of the factors. This study concluded 7 constructs and 29 evaluation factors. Base...
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ndltd-TW-097KNU003040192016-05-06T04:11:29Z http://ndltd.ncl.edu.tw/handle/06412938515607637572 Study on the Key Success Factors of Internet Banks – Using Fuzzy Analytic Hierarchy Process 經營網路銀行成功性關鍵因素之研究─運用FAHP法 Si-hui Li 李希惠 碩士 開南大學 財務金融學系 97 This study adopted literature review and expert interview to discuss the key success factors of Internet banks. Expert interview was also employed to evaluate the relative significance of the factors. This study concluded 7 constructs and 29 evaluation factors. Based on Fuzzy Analytic Hierarchy Process, hierarchical structural model was used to design the questionnaire. Outstanding Internet banks were selected from financial institutions for analysis, in order to find the key success factors. The results indicated that the seven key success constructs of Internet banks are: “security control planning” with the highest weight ratio (0.237), followed by “webpage design” (0.168), “cost efficiency” (0.153), “information management” (0.134), “diverse management” (0.128), “operational management” (0.114), and lastly, “human resources” (0.064). In addition, this study constructed a decision-making reference model for operational success, which combines cross-disciplinary and integrated study on information management and diverse management, as well as the extended application of consumer behavior theories. The results can serve as references to system design of Internet banks, and guidance and policy making of government authorities. Ho,Wen-Rong Jerry, Ph.D. 何文榮 2009 學位論文 ; thesis 102 zh-TW |
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碩士 === 開南大學 === 財務金融學系 === 97 === This study adopted literature review and expert interview to discuss the key success factors of Internet banks. Expert interview was also employed to evaluate the relative significance of the factors. This study concluded 7 constructs and 29 evaluation factors. Based on Fuzzy Analytic Hierarchy Process, hierarchical structural model was used to design the questionnaire. Outstanding Internet banks were selected from financial institutions for analysis, in order to find the key success factors.
The results indicated that the seven key success constructs of Internet banks are: “security control planning” with the highest weight ratio (0.237), followed by “webpage design” (0.168), “cost efficiency” (0.153), “information management” (0.134), “diverse management” (0.128), “operational management” (0.114), and lastly, “human resources” (0.064).
In addition, this study constructed a decision-making reference model for operational success, which combines cross-disciplinary and integrated study on information management and diverse management, as well as the extended application of consumer behavior theories. The results can serve as references to system design of Internet banks, and guidance and policy making of government authorities.
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author2 |
Ho,Wen-Rong Jerry, Ph.D. |
author_facet |
Ho,Wen-Rong Jerry, Ph.D. Si-hui Li 李希惠 |
author |
Si-hui Li 李希惠 |
spellingShingle |
Si-hui Li 李希惠 Study on the Key Success Factors of Internet Banks – Using Fuzzy Analytic Hierarchy Process |
author_sort |
Si-hui Li |
title |
Study on the Key Success Factors of Internet Banks – Using Fuzzy Analytic Hierarchy Process |
title_short |
Study on the Key Success Factors of Internet Banks – Using Fuzzy Analytic Hierarchy Process |
title_full |
Study on the Key Success Factors of Internet Banks – Using Fuzzy Analytic Hierarchy Process |
title_fullStr |
Study on the Key Success Factors of Internet Banks – Using Fuzzy Analytic Hierarchy Process |
title_full_unstemmed |
Study on the Key Success Factors of Internet Banks – Using Fuzzy Analytic Hierarchy Process |
title_sort |
study on the key success factors of internet banks – using fuzzy analytic hierarchy process |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/06412938515607637572 |
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