PREDICTING EDI TECHNOLOGY ADOPTION IN LOGISTICS MANAGEMENT: THE INFLUENCE OF CONTEXT AND STRUCTURE
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TL;DR
Logistic regression model results indicate a positive relationship between EDI adoption and three predictor variables: firm size as reflected by the number of factories, involvement in formal benchmarking, and centralization of theEDI adoption decision.
Abstract
Information technology has been an important influence on business operations and channels of distribution in recent years. Information systems have contributed to enhanced productivity, flexibility, and competitiveness. A survey of manufacturers was undertaken in order to better understand the influence of select contextual and structural dimensions on one type of technology, electronic data interchange (EDI). Logistic regression model results indicate a positive relationship between EDI adoption and three predictor variables: firm size as reflected by the number of factories, involvement in formal benchmarking, and centralization of the EDI adoption decision.