美国企业组织结构和组织学习因素对EDI实施程度的影响

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Matthew McGowan, G. Madey
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引用次数: 84

摘要

电子数据交换EDI是一种广泛使用的电子商务形式。许多战略和战术上的优势都归功于EDI的使用。我们开发并实证检验了一个理论模型来解释EDI在组织中的实施程度。考虑的因素包括组织结构特征、规模、集中化和功能差异,以及组织学习因素、技术专长、EDI知识水平和培训可用性。我们使用三个相关变量来评估EDI实现的数量、多样性和复杂程度。我们分析了来自全国1200个EDI用户调查的235个回复。我们的分析表明,数据为模型提供了一定的支持。结果表明,组织规模在很大程度上解释了组织中EDI实现的程度,这表明EDI实现的程度在一定程度上与资源可用性和交易量有关。技术和EDI知识的水平也影响EDI实施的程度。功能分化影响EDI多样性和EDI复杂性。培训的可用性影响组织中的EDI成熟度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The influence of organization structure and organizational learning factors on the extent of EDI implementation in U.S. firms
Electronic Data Interchange EDI is a widely used form of electronic commerce. Numerous strategic and tactical advantages have been attributed to the use of EDI. We develop and empirically test a theoretical model to explain the extent of EDI implementation in organizations. Factors considered include organization structural characteristics size, centralization, and functional differentiation and organization learning factors technical expertise, level of EDI knowledge, and training availability. We use three dependent variables to assess the extent of EDI implementation volume, diversity, and sophistication. We analyze 235 responses from a national survey of 1200 EDI users. Our analysis suggests the data provide some support for the model. The results indicate that organization size explains much of the extent of EDI implementation in organizations, suggesting that the extent of EDI implementation is partly a matter of resource availability and transaction volume. The level of technical and EDI knowledge also influences the extent of EDI implementation. Functional differentiation affects EDI diversity and EDI sophistication. Training availability influences EDI sophistication in organizations.
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来源期刊
Information Resources Management Journal
Information Resources Management Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
44
期刊介绍: Topics should be drawn from, but not limited to, the following areas, with major emphasis on the managerial and organizational aspects of information resource and technology management: •Application of IT to operation •Artificial intelligence and expert systems technologies and issues •Business process management and modeling •Data warehousing and mining •Database management technologies and issues •Decision support and group decision support systems •Distance learning technologies and issues •Distributed software development •E-collaboration •Electronic commerce technologies and issues •Electronic government •Emerging technologies management
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