信息科学的跨学科性:理论应用的进化视角

Chao Zhang, Fang Wang, Yi Huang, Le Chang
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引用次数: 0

摘要

目的 本文旨在从理论应用演进的角度揭示信息科学(IS)的学科交叉性。选取8种有代表性的IS期刊作为数据源,提取研究论文全文中提及的理论,通过理论共现网络分析、多样性测量和演进分析等方法对IS的年度学科交叉性进行测量。随着一些内核理论的不断应用,IS 的跨学科性似乎在减弱,逐渐向少数相邻学科靠拢。受大数据和人工智能的影响,信息系统的研究范式正在从以理论为中心转向以技术为中心。本研究确定了 IS 研究中的核心理论,根据理论来源学科共现网络的演变来衡量 IS 的跨学科性,并揭示了 IS 正在发生的范式转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interdisciplinarity of information science: an evolutionary perspective of theory application
Purpose This paper aims to reveal the interdisciplinarity of information science (IS) from the perspective of the evolution of theory application.Design/methodology/approach Select eight representative IS journals as data sources, extract the theories mentioned in the full texts of the research papers and then measure annual interdisciplinarity of IS by conducting theory co-occurrence network analysis, diversity measure and evolution analysis.Findings As a young and vibrant discipline, IS has been continuously absorbing and internalizing external theoretical knowledge and thus formed a high degree of interdisciplinarity. With the continuous application of some kernel theories, the interdisciplinarity of IS appears to be decreasing and gradually converging into a few neighboring disciplines. Influenced by big data and artificial intelligence, the research paradigm of IS is shifting from a theory centered one to a technology centered one.Research limitations/implications This study helps to understand the evolution of the interdisciplinarity of IS in the past 21 years. The main limitation is that the data were collected from eight journals indexed by the Social Sciences Citation Index and a small amount of theories might have been omitted.Originality/value This study identifies the kernel theories in IS research, measures the interdisciplinarity of IS based on the evolution of the co-occurrence network of theory source disciplines and reveals the paradigm shift being happening in IS.
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