Predictive Performance Evaluation Measures: Field Study of a Multi-Outlet Business

Abstract

It is frequently suggested that accountants need to develop more comprehensive predictive measures of performance. In response, several predictive deterministic models have been proposed in the literature. This paper explores the feasibility of developing predictive statistical models of performance for revenue and profit centres. A large national retail organisation was selected to field test the applicability of such a model. The results indicate that a statistical model can detect significant differences in outlet performance in a multi-outlet firm, providing performance information useful for managerial evaluation. The methodology developed can be applied to performance evaluations in many retail firms.