Cross-Fertilization of Knowledge: The Case of MIS and its Reference Disciplines

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
S. Westin, Chai Kim, Matthew H. Roy
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引用次数: 33

Abstract

This study examines the characteristics of cross-fertilization of knowledge of MIS and its related disciplines. The examination is conducted from the perspective of two significantly different models of scientific development. These are the internalist model and the externalist model. Citation data is used to develop a cross-fertilization network of scientific disciplines. The patterns of knowledgesharing among the disciplines are studied. MIS and its reference disciplines are analyzed in terms of the degree to which they remain open to the ideas of other fields. Results indicate that the patterns of cross-fertilization vary greatly among these scientific fields. This suggests that no one model of scientific development serves to describe adequately MIS and its related disciplines. The status of MIS as a scientific discipline is discussed. The authors argue that the multifaceted nature of MIS should be re-conceptualized as progress from multiple directions.
知识的交叉施肥:以管理信息系统及其参考学科为例
本研究探讨了管理信息系统及其相关学科知识交叉受精的特点。本文从两种截然不同的科学发展模式的角度进行了考察。这是内部主义模型和外部主义模型。引文数据用于发展科学学科的交叉施肥网络。研究了学科间知识共享的模式。管理信息系统及其参考学科的分析是根据他们对其他领域的思想保持开放的程度。结果表明,不同科学领域间杂交受精模式差异很大。这表明,没有一种科学发展模型能够充分描述信息管理系统及其相关学科。讨论了管理信息系统作为一门科学学科的地位。作者认为,信息管理系统的多面性应该被重新定义为从多个方向的进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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