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

被引：26

作者：

Chang, I-Chiu ^{[2
]}

Hwang, Hsin-Ginn ^{[3
]}

Liaw, Hsueh-Chih ^{[3
]}

Hung, Ming-Chien ^{[1
]}

Chen, Sing-Liang ^{[1
]}

Yen, David C. ^{[4
]}

机构：

[1] WuFeng Inst Technol, Dept Elect Commerce, Chiayi, Taiwan

[2] Chia Nan Univ Pharm & Sci, Dept Informat Management, Chiayi, Taiwan

[3] Natl Chung Cheng Univ, Grad Inst Informat Management, Chiayi, Taiwan

[4] Miami Univ, Dept Decis Sci & Management Informat Syst, Oxford, OH 45056 USA

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2008年 / 35卷 / 04期

关键词：

Enterprise Resource Planning (ERP); supply chain management (SCM); strategic thrust theory; Back-Propagation Network (BPN);

D O I：

10.1016/j.eswa.2007.08.102

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. © 2007 Elsevier Ltd. All rights reserved.

引用

页码：1809 / 1816

页数：8

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