Abstract
Conjoint analysis has many applications (Cattin, Wittink (1982), Wittink, Cattin (1989)). Frequently, it is used in the context of new product design (Mahajan, Wind (1992)). Practical applications involve the estimation of the importance of selected product attributes (Gaul, Lutz, Aust (1993)) or the assessment of new product candidates where part worth estimates on an individual level and profiles of established products to model competition in the marketplace are taken as inputs (Page, Rosenbaum (1987)).
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References
Cattin P, Wittink D R (1982) Commercial Use of Conjoint Analysis: A Survey. Journal of Marketing 46 (Summer): 44–53
Dobson G, Kalish S (1993) Heuristics for Pricing and Positioning a Product-Line Using Conjoint and Cost Data. Management Science 39, 2 (February): 160–175
Elrod T, Kumar S K (1989) Bias in the First Choice Rule for Predicting Share. 1989-Sawtooth Software Conference Proceedings. Sawtooth Software Inc. Ketchum, ID
Gaul W, Lutz U, Aust E (1993) Goodwill Towards Domestic Products as Segmentation Criterion: An Empirical Study Within the Scope of Research on Country-of-Origin Effects. Studies in Classification, Data Analysis, and Knowledge Organization 4 (forthcoming)
Green P E, Krieger A M (1985) Models and Heuristics for Product Line Selection. Marketing Science 1 (Winter): 1–19
Green P E, Krieger A M (1987a) A Simple Heuristic for Selecting “Good” Products in Conjoint Analysis. Applications of Management Science 5: 131–153
Green P E, Krieger A M (1987b) A Consumer-Based Approach to Designing Product Line Extensions. Journal of Product Innovation Management 4: 21–32
Green P E, Krieger A M (1991) Product Design Strategies for Target-Market Positioning. Journal of Marketing Research 55: 28–38
Green P E, Krieger A M (1992) An Application of a Product Positioning Model to Pharmaceutical Products. Marketing Science 11, 2 (Spring): 117–132
Kohli R, Sukumar R (1990) Heuristics for Product-Line Design Using Conjoint Analysis. Management Science 36, 12 (December): 1464–1478
Mahajan V, Wind J (1992) New Product Models: Practice, Shortcomings and Desired Improvements. Journal of Product Innovation Management 9: 128–139
Page A L, Rosenbaum H F (1987) Redesigning Product Lines with Conjoint Analysis: How Sunbeam Does it. Journal of Product Innovation Management 4: 121–137
Pessemier E A, Burger P, Teach R, Tigert T (1971) Using Laboratory Brand Preference Scales to Predict Consumer Purchases. Management Science 17 (February): 371–385
Silk A J, Urban G L (1978) Pre-Test-Market Evaluation of New Product Goods: A Model and Measurement Methodology. Journal of Marketing Research 15: 171–191
Wittink R D, Cattin P (1989) Commercial Use of Conjoint Analysis: An Update. Journal of Marketing 53 (July): 91–96
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© 1994 Physica-Verlag Heidelberg
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Aust, E., Gaul, W. (1994). Decision Making Concerning Product Line Design Based on Conjoint Analysis. In: Bachem, A., Derigs, U., Jünger, M., Schrader, R. (eds) Operations Research ’93. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-46955-8_4
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DOI: https://doi.org/10.1007/978-3-642-46955-8_4
Publisher Name: Physica, Heidelberg
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