The impact of EDI usage on performance improvement in the food industry: A non – linear approach
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Authors
Peter G. Zhang
Craig Hill
Yusen Xia
Faming Liang
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Type
Journal Article, Academic Journal
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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.