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Diversity in IS Research: An Exploratory Study Using Latent Semantics

机译:IS研究中的多样性:使用潜在语义学的探索性研究

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摘要

Due to the pervasive and ever-changing nature of IT in modern organizations, IS research is characterized by high levels of diversity in topics and approaches. In this paper we attempt to illustrate the diversity in the IS field by applying text mining techniques on research paper abstracts that were published in top IS journals during the last 22 years. Our analysis extracts latent semantic factors that can be interpreted and tracked over time. This methodology is applied here to 1,615 IS research paper abstracts, published in the 1985-2006 period, in order to identify key emerging and declining research themes. Our results reveal a rich and varied field with a wide collection of research themes, some unique to IS research and some others lying on the intersection of IS research and reference disciplines. The results suggest high dynamism in IS research, shortage of grand theories, and persistent high emphasis on rigor.
机译:由于现代组织中IT的普遍性和不断变化的性质,IS研究的特点是主题和方法的高度多样性。在本文中,我们尝试通过将文本挖掘技术应用于过去22年间在顶级IS期刊上发表的研究论文摘要上,来说明IS领域的多样性。我们的分析提取了潜在的语义因素,这些因素可以随着时间的推移进行解释和跟踪。在这里,此方法适用于1985-2006年间出版的1,615篇IS研究论文摘要,以便确定主要的新兴和正在下降的研究主题。我们的结果揭示了一个广泛而多样的领域,其中包含了广泛的研究主题,其中一些是IS研究独有的,而另一些则位于IS研究与参考学科的交汇处。结果表明,信息系统研究具有很高的活力,缺乏盛大的理论以及对严谨性的高度重视。

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