A neural network evaluation model for ERP performance from SCM perspective to enhance enterprise competitive advantage

  • Authors:
  • I-Chiu Chang;Hsin-Ginn Hwang;Hsueh-Chih Liaw;Ming-Chien Hung;Sing-Liang Chen;David C. Yen

  • Affiliations:
  • Chia Nan University of Pharmacy & Science, Department of Information Management;National Chung Cheng University, Graduate Institute of Information Management;National Chung Cheng University, Graduate Institute of Information Management;WuFeng Institute of Technology, Department of Electronic Commerce, No. 117, Sec. 2, Jianguo Road, Min-Hsiung Chia-Yi, Taiwan, ROC;WuFeng Institute of Technology, Department of Electronic Commerce, No. 117, Sec. 2, Jianguo Road, Min-Hsiung Chia-Yi, Taiwan, ROC;Miami University, Department of Decision Sciences and Management Information Systems

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2008

Quantified Score

Hi-index 12.05

Visualization

Abstract

Due to increasing global competition, many enterprises are aware of the benefits of Enterprise Resource Planning (ERP). While the external environments and alliance partnerships facing an enterprise are becoming more complex, executives should consider appropriate partners to enhance efficiency and performance of supply chain management (SCM) as well as to gain potential competitive advantages. This study constructs a conceptual model to evaluate the performance and competitive advantages associated with ERP from a SCM perspective. The resulting model can be used to assist an enterprise in evaluating the potential partnerships. The survey data was gathered from a transnational textile firm in Taiwan. The training and learning models were based on the strategic thrust theory and used the Back-Propagation Network (BPN) as an evaluation tool.