Key success factors for online auctions: Analysis of auctions of fashion clothing
► This study presents a model for evaluating the critical successful factors of online auctions of fashion clothing. ► The evaluation model are generalized into four dimensions, 15 strategy subjects and 63 key performance indicators. ► The analytical network process (ANP) is utilized to determine th...
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Published in | Expert systems with applications Vol. 38; no. 6; pp. 7774 - 7783 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.06.2011
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Online Access | Get full text |
ISSN | 0957-4174 1873-6793 |
DOI | 10.1016/j.eswa.2010.12.130 |
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Abstract | ► This study presents a model for evaluating the critical successful factors of online auctions of fashion clothing. ► The evaluation model are generalized into four dimensions, 15 strategy subjects and 63 key performance indicators. ► The analytical network process (ANP) is utilized to determine the weight of each criterion.
This study presents a model for evaluating the critical successful factors of online auctions of fashion clothing to help prospective online auction sellers to develop effective online auction operation strategies. The evaluation model are generalized into four dimensions, 15 strategy subjects and 63 key performance indicators in the evaluation model. The four dimensions of the evaluation model are internet environment, customer, learning and innovation, and internal business process. An expert questionnaire is utilized to gather the opinions of scholars, online auction sellers and online auction buyers to revise the various indicators of the performance evaluation system. The analytical network process (ANP) is utilized to determine the weight of each criterion in the generation of the performance model associated with the evaluation system. |
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AbstractList | This study presents a model for evaluating the critical successful factors of online auctions of fashion clothing to help prospective online auction sellers to develop effective online auction operation strategies. The evaluation model are generalized into four dimensions, 15 strategy subjects and 63 key performance indicators in the evaluation model. The four dimensions of the evaluation model are internet environment, customer, learning and innovation, and internal business process. An expert questionnaire is utilized to gather the opinions of scholars, online auction sellers and online auction buyers to revise the various indicators of the performance evaluation system. The analytical network process (ANP) is utilized to determine the weight of each criterion in the generation of the performance model associated with the evaluation system. ► This study presents a model for evaluating the critical successful factors of online auctions of fashion clothing. ► The evaluation model are generalized into four dimensions, 15 strategy subjects and 63 key performance indicators. ► The analytical network process (ANP) is utilized to determine the weight of each criterion. This study presents a model for evaluating the critical successful factors of online auctions of fashion clothing to help prospective online auction sellers to develop effective online auction operation strategies. The evaluation model are generalized into four dimensions, 15 strategy subjects and 63 key performance indicators in the evaluation model. The four dimensions of the evaluation model are internet environment, customer, learning and innovation, and internal business process. An expert questionnaire is utilized to gather the opinions of scholars, online auction sellers and online auction buyers to revise the various indicators of the performance evaluation system. The analytical network process (ANP) is utilized to determine the weight of each criterion in the generation of the performance model associated with the evaluation system. |
Author | Huang, Rong-Hwa Yang, Chang-Lin |
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Keywords | Online auction Analytical network process Fashion clothing industry Key performance indicators |
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References_xml | – reference: Wang, C. C., & Chen, Y. T. (2008). The influence of passion and compulsive buying on online auction addiction. 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SubjectTerms | Analytical network process Business Expert systems Fashion clothing industry Indicators Internet Key performance indicators Mathematical models On-line systems Online Online auction Strategy |
Title | Key success factors for online auctions: Analysis of auctions of fashion clothing |
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