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品質經營學會誌 = Journal of the Korean Society for Quality Management v.33 no.4, 2005년, pp.103 - 110   피인용횟수: 6
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휴대전화기 신제품 개발을 위한 컨조인트분석
Conjoint Analysis for the Development of New Cellular Phone

김부용   (숙명여자대학교 통계학과UU0000824  );
  • 초록

    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.


  • 주제어

    Conjoint Analysis .   New Product Development .   Cellular Phone.  

  • 참고문헌 (12)

    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     
    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 
    3. Kamakura, W. A.(1988), 'A Least Squares Procedure for Benefit Segmentation with Conjoint Experiments', Journal of Marketing Research, Vol. 25, pp. 157-167 
    4. Wittink, D. R. and Cattin, P.(1989), 'Commercial Use of Conjoint Analysis: An Update', Journal of Marketing, Vol. 53, pp. 91-96 
    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 
    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 
    7. 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 
    8. Green, P. E. and Rao, V. R.(1971), 'Conjoint Measurement for Quantifying Judgemental Data', Journal of Marketing Research, Vol. 8, pp. 355-363 
    9. Auty, S.(1995), 'Using Conjoint Analysis in Industrial Marketing', Industrial Marketing Management, Vol. 24, pp. 191-206 
    10. 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 
    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 
    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 
  • 이 논문을 인용한 문헌 (6)

    1. Pak, Ro-Jin 2007. "Application of Artificial Neural Network for Conjoint Analysis" 응용통계연구 = The Korean journal of applied statistics, 20(3): 441~447     
    2. Park, Hye-Min ; Park, Hee-Jun ; Baek, Min-Ho ; Park, Jong-Woo 2008. "Use of Conjoint Analysis to Test Customer Preferences on Database Service Quality for Knowledge Information" 한국IT서비스학회지 = Journal of Information Technology Services, 7(2): 13~23     
    3. 2012. "" 응용통계연구 = The Korean journal of applied statistics, 25(6): 987~997     
    4. Kim, Bu-Yong 2014. "New Method for Preference Measurement in Ranking-based Conjoint Analysis" 응용통계연구 = The Korean journal of applied statistics, 27(2): 185~195     
    5. Lim, Yong B. ; Chung, Jong Hee ; Kim, Joo H. 2015. "Practical Designs, Analysis and Concepts Optimization in Conjoint Analysis" 응용통계연구 = The Korean journal of applied statistics, 28(5): 951~963     
    6. Lim, Yong B. ; Chung, Jong Hee 2016. "Conjoint analysis with mixed levels of attributes" 品質經營學會誌 = Journal of the Korean Society for Quality Management, 44(4): 799~811     

 저자의 다른 논문

  • 김부용 (17)

    1. 1998 "Constrained $L_1$-Estimation in Linear Regression" 한국통계학회 논문집 = Communications of the Korean Statistical Society 5 (3): 581~589    
    2. 2000 "Algorithm for the Constrained Chebyshev Estimation in Linear Regression" 한국통계학회 논문집 = Communications of the Korean Statistical Society 7 (1): 47~54    
    3. 2004 "체비쉐프추정에 의한 컨조인트분석 : 휴대전화기 신제품 개발에의 활용" 응용통계연구 = The Korean journal of applied statistics 17 (2): 205~218    
    4. 2007 "로지스틱회귀모형의 로버스트 추정을 위한 알고리즘" 응용통계연구 = The Korean journal of applied statistics 20 (3): 551~559    
    5. 2008 "일반화선형모형에서의 3차원 CERES그림" 응용통계연구 = The Korean journal of applied statistics 21 (1): 169~176    
    6. 2008 "로지스틱모형에서의 주성분회귀" 응용통계연구 = The Korean journal of applied statistics 21 (4): 571~580    
    7. 2009 "로버스트추정에 바탕을 둔 주성분로지스틱회귀" 응용통계연구 = The Korean journal of applied statistics 22 (3): 531~539    
    8. 2010 "로지스틱모형에서 그래픽을 이용한 회귀와 모형평가" Journal of the Korean Data & Information Science Society = 한국데이터정보과학회지 21 (1): 21~32    
    9. 2010 "L1-회귀추정량의 붕괴점 향상을 위한 알고리즘" 한국통계학회 논문집 = Communications of the Korean Statistical Society 17 (4): 541~550    
    10. 2010 "주성분회귀분석에서 주성분선정을 위한 새로운 방법" 응용통계연구 = The Korean journal of applied statistics 23 (5): 967~975    

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