Design of a knowledge-based performance evaluation system: A case of high-tech state-owned enterprises in an emerging economy

This paper describes an intelligent decision support system for evaluating state-owned enterprises (SOEs) using DEA models. This decision support system converts numerical data into information that can be used to evaluate state-owned enterprises (SOEs). In this paper, we use DEA models, including CCR, BCC and FDH, to shed new light on the operational efficiency and determinants of stateowned enterprises in Beijing. We propose an evaluation framework for evaluating state-owned enterprises (SOEs), including a database management subsystem, a model base subsystem, a knowledge acquisition subsystem, and a dialogue subsystem. Finally, we adopt the logistic regression model to analyze the effect factors of inefficient state-owned enterprises and provide optimum decision-making for state-owned enterprises (SOEs). 2007 Published by Elsevier Ltd.