Working Paper Alfred P. Sloan School of Management Industrial Adoption of Solar Air Conditioning Measurement Problems, Solutions and Marketing Implications Industrial Adoption of Solar Air Conditioning Measurement Problems, Solutions and Marketing Implications

Industrial adoption of capital goods typically involves several individuals with difterent backgrounds and job responsibilities. These individuals differ in the way they perceive and evaluate available product alternatives. The measurement and consideration of these differences can lead to substancial improvements in the development of marketing strategies for new industrial products. This paper analyzes the introduction of solar powered air conditioning aimed at the industrial market. Individuals most likely to be involved in the adoption process are identified and differences in their perceptions and evaluation criteria are measured. The investigation of these problems leads to new measurement methods and to some new tests for determining the equality of evaluation spaces. Implications for the development of a marketing plan for industrial solar air conditioning are discussed. The potential for application of the new methodology to development of marketing programs for other industrial products is also reviewed.

[1]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[2]  William J. Wilson,et al.  Multivariate Statistical Methods , 2005, Technometrics.

[3]  John R. Hauser,et al.  A Normative Methodology for Modeling Consumer Response to Innovation , 1977, Oper. Res..

[4]  Joseph L. Zinnes,et al.  Theory and Methods of Scaling. , 1958 .

[5]  Robert J. Connor,et al.  Power of Tests for Equality of Covariance Matrices , 1974 .

[6]  Farrington Daniels,et al.  Direct Use of the Sun's Energy , 1965 .

[7]  G. Haines,et al.  The Theory of Buyer Behavior. , 1970 .

[8]  Gary L. Lilien,et al.  Models of the multiperson choice process with application to the adoption of industrial products , 1976 .

[9]  John R. Hauser A normative methodology for predicting consumer response to design decisions : issues, models, theory, and use. , 1975 .

[10]  R. Tybout,et al.  Solar house heating , 1970 .

[11]  B. Brinkworth Solar energy , 1974, Nature.

[12]  E. B. Andersen,et al.  Modern factor analysis , 1961 .

[13]  G. Box,et al.  A general distribution theory for a class of likelihood criteria. , 1949, Biometrika.

[14]  Peter Wright,et al.  Modeling an Organizational Buyer's Product Evaluation Strategy: Validity and Procedural Considerations , 1976 .

[15]  Lloyd G. Humphreys,et al.  Note On a Criterion for the Number of Common Factors , 1969 .

[16]  Lloyd G. Humphreys,et al.  Latent roots of random data correlation matrices with squared multiple correlations on the diagonal: A monte carlo study , 1976 .

[17]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[18]  J. Sheth A Model of Industrial Buyer Behavior , 1973 .

[19]  Donald R. Lehmann,et al.  Difference in Attribute Importance for Different Industrial Products , 1974 .

[20]  G. Chow Tests of equality between sets of coefficients in two linear regressions (econometrics voi 28 , 1960 .

[21]  A. V. Bruno,et al.  The Prediction of Preference for Capital Equipment Using Linear Attitude Models , 1974 .