Name
Title | ||
|---|---|---|
Modeling the Relationship Between EDI Implementation and Firm Performance Improvement With Neural Networks |
Abstract | ||
|---|---|---|
This paper examines a number of electronic data interchange (EDI) usage and implementation factors and their role in improving a firm's efficiency, productivity and competitiveness. Unlike other studies in the literature that use exclusively linear models, we apply nonlinear neural networks to model the relationship between performance improvement and a set of predictor variables of EDI usage and supply chain coordination activities. A variable selection method is employed to identify key factors to predict a firm's operational excellence due to EDI implementation. In addition, a bootstrap resampling scheme is used to evaluate the robustness of the results. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TASE.2009.2016351 | IEEE T. Automation Science and Engineering |
Keywords | Field | DocType |
Neural networks,Supply chains,Productivity,Predictive models,Input variables,Supply chain management,Internet,Technological innovation,Data handling,Robustness | Mathematical optimization,Operational excellence,Electronic data interchange,Industrial engineering,Computer science,Linear model,Bootstrapping,Supply chain management,Supply chain,Group method of data handling,Marketing,Performance improvement | Journal |
Volume | Issue | ISSN |
7 | 1 | 1545-5955 |
Citations | PageRank | References |
0 | 0.34 | 22 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| G. Peter Zhang | 1 | 802 | 51.61 |
| Craig A. Hill | 2 | 10 | 1.79 |
| Yusen Xia | 3 | 141 | 12.36 |
| Faming Liang | 4 | 89 | 18.22 |