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

南華大學機構典藏系統 > 科技學院 > 資訊管理學系 > 期刊論文 > Item 987654321/27100

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题名:	A neural network evaluation model for ERP performance from SCM perspective to enhance enterprise competitive advantage
作者:	洪銘建;Hung, Ming-Chien;陳信良;Chen, Sing-Liang
貢獻者:	資訊管理學系
关键词:	Enterprise Resource Planning (ERP);Supply chain management (SCM);Strategic thrust theory;Back-Propagation Network (BPN)
日期:	2008-11
上传时间:	2019-04-17 13:56:39 (UTC+8)
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.
關聯:	Expert Systems with Applications vol. 35, no. 4 pp.1809-1816
显示于类别:	[資訊管理學系] 期刊論文

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