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Conjoint Analysis for the Development of New Cellular Phone  

Kim, Bu-Yong (Department of Statistics, Sookmyung Women's University)
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Abstract
Advanced function has been considered to be the most important aspect of the cellular phone. However, leading companies are now implementing the fashion branding strategy which stresses both high technology and appealing design. By means of the conjoint analysis, this research focuses on identifying the preferred design profile related to style of the key cover, color and texture of the case, and presence or absence of the noctilucent material coated on the part of surface. We also evaluate the relative importance of factors to determine the design concept of new cellular phone. Results indicate that consumers most prefer the silver-colored, sliding key cover phone with soft and noctilucent surface.
Keywords
Conjoint Analysis; New Product Development; Cellular Phone;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Barone, S. and Lombardo, A.(2004), 'Service Quality Design through a Smart Use of Conjoint Analysis', The Asian Journal of Quality, Vol. 5, pp. 34-42   DOI
2 Green, P. E. and Srinivasan, V.(1978), 'Conjoint Analysis in Consumer Research : Issues and Outlook', Journal of Consumer Research, Vol. 5, pp. 103-123   DOI   ScienceOn
3 Kamakura, W. A.(1988), 'A Least Squares Procedure for Benefit Segmentation with Conjoint Experiments', Journal of Marketing Research, Vol. 25, pp. 157-167   DOI   ScienceOn
4 Wittink, D. R. and Cattin, P.(1989), 'Commercial Use of Conjoint Analysis: An Update', Journal of Marketing, Vol. 53, pp. 91-96   DOI   ScienceOn
5 Wittink, D. R., Vriens, M. and Burhenne, W.(1994), 'Commercial Use of Conjoint Analysis In Europe : Results and Critical Reflections', International Journal of Research in Marketing, Vol. 11, pp. 41-52   DOI   ScienceOn
6 Green, P. E., Carroll, D., and Goldberg, S. M. (1981), 'A General Approach to Product Design Optimization via Conjoint Analysis', Journal of Marketing, Vol. 45, pp. 17-37   DOI   ScienceOn
7 Carroll, J. D. and Green, P. E.(1995), 'Psychometric Methods in Marketing Research : Part I, Conjoint Analysis', Journal of Marketing Research, Vol. 32, pp, 385-391   DOI   ScienceOn
8 Kruscal, J. E.(1965), 'Analysis of Factorial Experiments by Estimating Monotone Transformations of the Data', Journal of the Royal Statistical Society (B), Vol. 27, pp. 251-263
9 Green, P. E. and Rao, V. R.(1971), 'Conjoint Measurement for Quantifying Judgemental Data', Journal of Marketing Research, Vol. 8, pp. 355-363   DOI   ScienceOn
10 Auty, S.(1995), 'Using Conjoint Analysis in Industrial Marketing', Industrial Marketing Management, Vol. 24, pp. 191-206   DOI   ScienceOn
11 Marshall, P. and Bradlow, E. T.(2002), 'A Unified Approach to Conjoint Analysis Models', Journal of the American Statistical Association, Vol. 97, pp. 674-682   DOI   ScienceOn
12 Green, P. E. and Srinivasan, V.(1990), 'Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice', Journal of Marketing, Vol. 54, pp. 3-19   DOI   ScienceOn