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An index system for quality synthesis evaluation of BtoC business website

Published: 15 August 2005 Publication History

Abstract

It is important for successful electronic business to have a hi-quality business website. So we need an accurate and effective index system to evaluate and analyses the quality of the business website. In this paper, the evaluation index system following the 'grey box' principle is proposed which considers both efficiency of business website and performance of electronic business system. Using R-Hierarchical clustering method to extract the typical indexes from sub-indexes is theoretically proved to have a rationality and effectiveness. Finally, the evaluation method is briefly discussed.

References

[1]
F.J. Miranda Gonzalez, T. M. Banegil Palacios, Quantitative evaluation of commercial web sites: an empirical study of Spanish firms, International Journal of Information Management, 24(2004): 313--328
[2]
Chang Liu, Kirk P. Amett, Exploring the factors associated with Web site success in the context of electronic commerce, Information & Management, 38 (2000):23--33
[3]
Evans, J. R., & King, V. E. Business-to-business marketing and the World Wide Web: Planning, managing and assessing web sites. Industrial Marketing Management, 28(1999): 343--358
[4]
Zhonghai Li, Jianqiao Liao, Hui Xiao; the analyze of work efficiency on webshop design in China; human work efficiency; 4(2002) : 43--45
[5]
Research a index system for evaluation of on enterprise website, http://www.365un.com/xmb/viewthread.php?tid=1998

Cited By

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  • (2021)Neue umfassende Qualitätskriterien für Ihr Webseiten-ManagementTotal Web Quality10.1007/978-3-658-33958-6_2(11-35)Online publication date: 3-Aug-2021

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cover image ACM Other conferences
ICEC '05: Proceedings of the 7th international conference on Electronic commerce
August 2005
957 pages
ISBN:1595931120
DOI:10.1145/1089551
  • Conference Chairs:
  • Qi Li,
  • Ting-Peng Liang
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 August 2005

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Author Tags

  1. R-Hierarchical clustering
  2. business website
  3. evaluation system
  4. system performance

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Overall Acceptance Rate 150 of 244 submissions, 61%

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Cited By

View all
  • (2021)Neue umfassende Qualitätskriterien für Ihr Webseiten-ManagementTotal Web Quality10.1007/978-3-658-33958-6_2(11-35)Online publication date: 3-Aug-2021

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