Title

Market Share Uncertainty Modeling for Decision-Analytic Concept Evaluation

Abstract

In a product developmental phase, analysis of consumer needs and modeling of market share uncertainty permit selection of the concept that will best maximize profit. This article discusses a method to model uncertainty by integrating bootstrap with conjoint analysis to obtain market share distribution. Conjoint analysis is a widely used marketing research method to analyze how consumers made trade-off's among competing products. Bootstrap is a computer-based statistical technique that uses the original sample data to generate many data sets. It uses sampling with replacement technique from which relevant statistics can be calculated. the original sample data is obtained from CA and used to generate bootstrapped samples from which market share distribution is determined.

Meeting Name

3rd Annual ISC Research Symposium

Department(s)

Mechanical and Aerospace Engineering

Keywords and Phrases

Conjoint Analysis; Bootstrap; Uncertainty Modeling; Market Share; Consumer Trade-Offs

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2009 Missouri University of Science and Technology, All rights reserved.

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