Title: Application of BP neural network in evaluating e-business performance for service industry

Authors: Maomao Chi; Jing Zhao

Addresses: Center for International Cooperation in E-Business, School of Economics and Management, China University of Geosciences, Wuhan 430074, China. ' Center for International Cooperation in E-Business, School of Economics and Management, China University of Geosciences, Wuhan 430074, China

Abstract: The BP neural network model has a convergence and self-adaptability. Based on BP neural network algorithms, we establish the prediction system of e-business performance for Chinese service industry. According to our former studies, the e-business performance is measured by process performance of customer relationship management, financial performance and competitive performance. In this BP neural network model, the inputs in this study are the data of e-business performance measured by a five-point Likert scale, and the expected outputs of training neural network come from cluster analysis. Then, we take 14 indicators of e-business performance as inputs, and the level of e-business performance as outputs. The results show that the evaluation system is reliable and accurate; it can be used for evaluating enterprise performance effectively.

Keywords: BP neural networks; e-business performance; performance evaluation; service industry; services; electronic business; China; Likert scale; cluster analysis.

DOI: 10.1504/IJNVO.2012.046458

International Journal of Networking and Virtual Organisations, 2012 Vol.10 No.3/4, pp.374 - 385

Available online: 08 Apr 2012 *

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