Differential Diffusion of Information Systems Technology in Multinational Enterprises: A Research Model

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Information Resources Management Journal Pub Date : 1994-01-01 DOI:10.4018/IRMJ.1994010101
T. Campbell, Narayan S. Umanath
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引用次数: 41

Abstract

Recorded evidence suggests that information systems technology IST can be harnessed at least at a national level to create favorable market asymmetries leading to competitive advantage for the firm. Diffusion of IST over worldwide divisions of a multinational enterprise MNE and its ramifications, however, pose a more complex scenario. Economic analyses have been shown to be insufficient to explain why and how diffusion of technology occurs in MNEs. Cultural and political factors at both the organizational and societal national/regional levels also influence the diffusion process. Is IST a viable competitive weapon in a worldwide market setting? How diverse are the IST needs of the units of an MNE? Is uniform diffusion of IST across the board a necessary condition for the smooth operation and success of an MNE? How does IST diffuse within an MNE? What are the contingent factors that contribute to the differential rate of diffusion of IST across the units of an MNE? This paper proposes a research model to address these questions.
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跨国企业信息系统技术差异扩散:一个研究模型
有记录的证据表明,信息系统技术至少可以在国家层面上加以利用,以创造有利的市场不对称,从而为企业带来竞争优势。然而,技术创新在跨国企业全球部门的扩散及其后果构成了一个更复杂的情景。经济分析已被证明不足以解释技术扩散为何以及如何在跨国公司发生。组织和社会、国家/区域层面的文化和政治因素也影响传播过程。在全球市场环境下,it是一种可行的竞争武器吗?跨国公司各部门的信息技术需求有多多样化?技术创新的全面统一扩散是跨国公司顺利运营和成功的必要条件吗?it是如何在跨国公司内部扩散的?造成跨国公司各单位间技术创新扩散速度差异的偶然因素是什么?本文提出了一个研究模型来解决这些问题。
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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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