Knowledge that Transforms

Journal Article JCR Forthcoming Issue September 1981 Get access Journal of Consumer Research, Volume 11, Issue 3, December 1984, BackCover, https://doi.org/10.1093/jcr/11.3.BackCover Published: 01 December 1984

Journal Article A Simple Mathematical Theory of Innovative Behavior: Comment Get access Steven D. Silver Steven D. Silver Search for other works by this author on: Oxford Academic PubMed Google Scholar Journal of Consumer Research, Volume 10, Issue 4, March 1984, Pages 441–444, https://doi.org/10.1086/208983 Published: 01 March 1984 Article history Received: 01 December 1981 Revision received: 01 July 1983 Published: 01 March 1984

Cynthia Fraser, John W. Bradford; Competitive Market Structure Analysis: A Reply, Journal of Consumer Research, Volume 11, Issue 3, 1 December 1984, Pages

Allan D. Shocker, Anthony J. Zahorik, David W. Stewart; Competitive Market Structure Analysis: A Comment on Problems, Journal of Consumer Research, Volume

This paper presents a model of the relationship between relative attributes, relative preferences, and market share. It shows how parameters in the model may be estimated, using survey data to illustrate the estimation procedure. Use of the model and data for a new product are also discussed. The eventual market share of solar energy for residential heating in Canada is predicted using the procedures developed.

The assumed separation between judgments of preference and perception typical of most formal multiattribute decision-making models is questioned in favor of an information-processing formulation in which systematic perceptual errors are associated with, and revealing of, underlying preferences. A model and methodology is proposed for measuring the preference-perception interaction and hypotheses about such interdependencies are tested in a laboratory experiment.

Rao and Sabavala (1981) recently proposed a hierarchical clustering methodology applied to normalized brand switching matrices to assess competitive market structure. We introduce a recently developed clustering method that appears to be more suited to the analysis of such nonsymmetric data, and describe an application and comparison of the various approaches.

Two hedonic regression models were used to decompose housing prices into the implicit prices of the components of housing, including features affecting energy use and actual energy use. Analysis showed that insulation and wood window frames were capitalized into sale price, but the value of storm windows was not. Results indicated substantial payback to energy-conserving investments.

Journal Article Parsimony or Explanation: On the Estimation of Systems Defined by Nonlinear Differential Equations Get access David F. Midgley David F. Midgley Search for other works by this author on: Oxford Academic PubMed Google Scholar Journal of Consumer Research, Volume 10, Issue 4, March 1984, Pages 445–448, https://doi.org/10.1086/208984 Published: 01 March 1984 Article history Received: 01 October 1983 Revision received: 01 November 1983 Published: 01 March 1984

It was hypothesized that for females and children under the age of 11, the probability of choosing a unique product could be influenced by controlling the valence of the resulting dispositional attribution. A label was used to increase the availability of a positive attribution (“I will be unique”) versus a negative one (“I will be selfish”). Labeled females and younger children were significantly more likely to choose the unique product than were their control group counterparts.