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New Technology of Library and Information Service  2013, Vol. Issue (6): 76-84    DOI: 10.11925/infotech.1003-3513.2013.06.12
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Analyzing the Demand of Online Product Review System’ s Features Using Kano Model: An Empirical Study of Chinese Online Shops
Sun Xiaoling1, Zhao Yuxiang2, Zhu Qinghua2
1. School of Management & Engineering, Nanjing University, Nanjing 210093, China;
2. School of Information Management, Nanjing University, Nanjing 210093, China
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Abstract  Based on the impact of electronic word-of-mouth and critical issues of online information system design, this paper conducts a feature package of online product review system by a survey of mainstream Chinese online shops. Kano model then employs to classify customer demand about these features. The result indicates that among various features most of them are dispensable except of features which making deep mining on argument quality and valence such as tag clouds based on text mining as well as multiple valences. It can be important reference when dealing with system design and improvement.
Key wordsOnline shopping      Electronic word-of-mouth      Online review system      Information organizing      Kano model      Electronic commerce     
Received: 16 April 2013      Published: 24 July 2013
:  G350  

Cite this article:

Sun Xiaoling, Zhao Yuxiang, Zhu Qinghua. Analyzing the Demand of Online Product Review System’ s Features Using Kano Model: An Empirical Study of Chinese Online Shops. New Technology of Library and Information Service, 2013, (6): 76-84.

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