Design of interactive conjoint analysis Web-based system

Author:

Castel Dennis,Tsuji Hiroshi

Abstract

Purpose – The purpose of this paper is to presents an interactive conjoint analysis Web-based system that allows the problems of traditional conjoint analysis to be avoided.In the case of a product with lot of parameters, respondents’ tacit preferences may be difficult to understand for marketing analysis. To get a precise analysis, respondents must be allowed to reconsider and correct by themselves their evaluations with an adapted tool. Design/methodology/approach – This system also helps respondents to easily evaluate complex product profiles and to be involved in the evaluation process, which also leads to the creation of new knowledge for product design. As this system is designed for marketers and for respondents, this paper also presents the case of a product evaluation with attributes selectable by respondents. Findings – This paper is based on empirical experiment to obtain an efficient design of our system. The authors propose different evaluation scenario to usersto decide the design of our system. The authors want to include users in our evaluation process; however, we found that too much liberty for users can interfere with our objective. Originality/value – This paper present the design of our original system allowing to perform interactive conjoint analysis.

Publisher

Emerald

Subject

Computer Networks and Communications,Information Systems

Reference23 articles.

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2. Castel, D. , Vella, A. , Wei, F. , Saga, R. and Tsuji, H. (2012), “Diagnosis for interactive conjoint analysis”, International Conference on New Trends in Information Science, Service Science and Data Mining, pp. 371-376.

3. Castel, D. , Saga, R. and Tsuji, H. (2013), “Design of personal spiral conjoint analysis”, Journal of Industrial Engineering & Management Systems (IEMS) , Vol. 12 No. 3, pp. 234-243.

4. Cheng, H.A. (2000), Knowledgescapes: A Probabilistic Model for Mining Tacit Knowledge for Information Retrieval , Berkeley Digital Library.

5. Green, P. and Srinivasan, V. (1990), “Conjoint analysis in marketing research: new developments and directions”, Journal of Marketing , Vol. 54, pp. 3-19.

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