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THEORY GROWTH IN INFORMATION SCIENCE: APPLICATIONS OF THE THEORY OF SCIENCE TO A THEORY OF INFORMATION SEEKING

机译:信息科学中的理论增长:科学理论在信息寻求理论中的应用

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The aim of the study is to analyse theory growth in information science by using a case from information seeking studies. Scientific growth is identified with the growth of theories. Three contexts of theoretical work are differentiated: unit theories, theoretical research programmes and metatheories. For analysis of theory growth tools based on the current theory of science are needed. The study introduces tools for the analysis of theory growth and theory reconstruction and applies them to analysis of a theory on information seeking. Tools include the systematisation and formalisation of theories. The usefulness of these tools is illustrated by reconstructing a theory used in a current information seeking study. It is shown that they help in specifying the theory in the following ways: 1. in stating the central concepts and their relations; 2. in revealing implicit restrictions of the theory; and 3. in facilitating the derivation of additional hypotheses from the theory's axioms, especially by showing the mechanisms which interconnect the concepts of the theory. The results of reconstruction, specification and enrichment of the theory show future prospects for developing it and thus it creates potential growth of knowledge within the theory of information seeking.
机译:这项研究的目的是通过利用信息寻求研究中的案例来分析信息科学中的理论发展。科学的成长与理论的成长是一致的。理论工作的三种背景不同:单元理论,理论研究计划和元理论。为了分析理论,需要基于当前科学理论的增长工具。该研究介绍了用于分析理论增长和理论重构的工具,并将其应用于对信息寻求理论的分析。工具包括理论的系统化和形式化。通过重构当前信息搜索研究中使用的理论来说明这些工具的有用性。结果表明,它们以下列方式有助于指定理论:1.说明中心概念及其关系; 2.揭示理论的隐含限制; 3.促进从理论公理推导额外假设,特别是通过展示将理论概念相互联系的机制。该理论的重构,说明和丰富的结果显示了其发展的未来前景,因此它在信息寻求理论中创造了潜在的知识增长。

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