A hierarchical elimination modeling approach for market structure analysis

Article Abstract:

A brand-switching model based on hierarchical elimination decision process and incorporating consumer avoidance behavior is presented and evaluated. The first-order Markov model does not suffer from the IIA property of other avoidance models and the R-matrix generated can be used to infer initial hierarchical market structure by applying usual clustering algorithms. Partitioning is also different in the model as it is based on the hierarchical household cognitive structure.

Decision-making, Decision making

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A perceptual mapping procedure for analysis of proximity data to determine common and unique product-market structures

Article Abstract:

A model and estimation procedure for product-market structure perceptual mapping based on alternating least squares is presented and evaluated. METEXSCAL is a metric procedure based on the extended INDSCAL model and provides several advantages over traditional two-way factor analysis and multidimensional scaling. The procedure offers a complimentary view of deriving alternate multidimensional structures and does not suffer from rotational indeterminacy of two-way models.

Product differentiation

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A Bayesian approach to the spatial representation of market structure from consumer choice data

Article Abstract:

A new multidimensional scaling model estimating spatial market structures using a Bayesian estimation method is presented with evaluation results showing robust applicability. The Bayesian estimation method overcomes traditional problems of estimation models with correlated data and an comparative analysis evaluation to pick-any/J data of different portable telephone brands showing that the model outperforms others.

Usage, Bayesian statistical decision theory, Bayesian analysis

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