局域网的采用:一个实证评估

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Mary C. Jones, K. Arnett, R. W. Ellis
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引用次数: 12

摘要

局域网(lan)满足了组织在其边界内高效、快速传输信息的需求。在采用局域网时,公司要考虑各种因素,例如局域网的特性,例如运行速度和运行成本,安装的便利性,以及供应商在局域网安装期间和之后提供的支持。并不是所有的公司都出于同样的原因采用局域网,因此对这些方面的重视程度因公司而异。本研究考察了采用过程维度的重要性与组织特征(如规模、集中化程度、复杂性和信息系统成熟度)之间的关系。结果表明,企业信息系统的成熟程度对各采用维度的优先级影响最大。例如,较成熟的公司比较不成熟的公司更重视有形的局域网特征。研究结果提供了一个框架,在这个框架中可以开始理解局域网采用决策的组织性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Local Area Network Adoption: An Empirical Assessment
Local area networks LANs fill organizations' need to efficiently and quickly transfer information within their boundaries. There are a variety of factors firms consider when adopting LANs such as characteristics of the LAN e.g., operating speed and cost of operation, ease of installation, and vendor provided support during and after the LAN installation. Not all firms adopt LANs for the same reasons, thus the importance placed on these dimensions varies from firm to firm. This study examines the relationship between the importance placed on dimensions of the adoption process and organizational characteristics such as size, degree of centralization, complexity, and information systems maturity. Results indicate that the extent of information systems maturity in a firm has the most influence on the priority placed on various adoption dimensions. For example, more mature firms place a greater priority on tangible LAN characteristics than do less mature firms. Findings provide a framework in which to begin to understand the organizational nature of the LAN adoption decision.
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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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