To read this content please select one of the options below:

A Success Versus Failure Prediction Model for the Real Estate Industry

Robert N. Lussier (Springfield College)

American Journal of Business

ISSN: 1935-5181

Article publication date: 22 April 2005

595

Abstract

The purpose of this study was to use the Lussier (1995) generic success versus failure (S/F) prediction model to develop a real estate industry specific model (S/F = f[industry experience, age, advisors, planning, capital]). Using logistic regression analysis, the Lussier model (p = .028) and the real estate agency model (p = .001) are significant predictors of business success and failure. The Lussier model accurately predicted 84 percent of the surveyed successful and failed matched pairs agencies as being successful or failed and the real estate model predicted 74 percent. The Lussier model explained 68 percent of the variance of contributing factors to success versus failure and the real estate model explained 56 percent. Implications are discussed.

Keywords

Citation

Lussier, R.N. (2005), "A Success Versus Failure Prediction Model for the Real Estate Industry", American Journal of Business, Vol. 20 No. 1, pp. 47-53. https://doi.org/10.1108/19355181200500005

Publisher

:

Emerald Group Publishing Limited

Copyright © 2005, Emerald Group Publishing Limited

Related articles