کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
388880 | 660946 | 2008 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A neural network evaluation model for ERP performance from SCM perspective to enhance enterprise competitive advantage A neural network evaluation model for ERP performance from SCM perspective to enhance enterprise competitive advantage](/preview/png/388880.png)
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.
Journal: Expert Systems with Applications - Volume 35, Issue 4, November 2008, Pages 1809–1816