Improvement of EVA on traditional performance measurement: An application of neural network

Lin Chen, Zhilin Qiao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Economic Value Added (EVA) is a good method to measure the company's true value. This paper discussed on how to improve traditional performance measurement using EVA with neural network. It presented the integrated EVA performance measurement (IEPM) model and analyzed its superiority empirically with BP neural network. All the data came from China's listed companies. The final results showed that both the measurement ability and prediction ability of IEPM model were superior to those of traditional performance measurement. It suggests that introducing EVA to performance measurement well reflects the company's real economic profit and neural network model will be well applied to economic area, especially to the company's performance measurement

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on Natural Computation, ICNC 2008
Pages424-428
Number of pages5
DOIs
StatePublished - 2008
Event4th International Conference on Natural Computation, ICNC 2008 - Jinan, China
Duration: 18 Oct 200820 Oct 2008

Publication series

NameProceedings - 4th International Conference on Natural Computation, ICNC 2008
Volume2

Conference

Conference4th International Conference on Natural Computation, ICNC 2008
Country/TerritoryChina
CityJinan
Period18/10/0820/10/08

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