1. What are the contributions mentioned in the paper "Bibliometric methods in management and organization" ?
The authors aim to develop a meaningful single-source reference for management and organization scholars interested in using bibliometric methods for mapping research specialties.. The authors introduce the bibliometric methods of citation analysis, co-citation analysis, bibliographical coupling, coauthor analysis, and co-word analysis and present a workflow for conducting bibliometric studies with guidelines for researchers.. The authors envision that bibliometric methods will complement meta-analysis and qualitative structured literature reviews as a method for reviewing and evaluating scientific literature.. To demonstrate bibliometric methods, the authors performed a citation and co-citation analysis to map the intellectual structure of the Organizational Research Methods journal.. Such methods introduce a measure of objectivity into the evaluation of scientific literature and hold the potential to increase rigor and mitigate researcher bias in reviews of scientific literature by aggregating the opinions of multiple scholars working in the field.
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2. What future works have the authors mentioned in the paper "Bibliometric methods in management and organization" ?
Several new bibliometric methods are likely to become prominent in the future.. The authors envision that in the future bibliometric methods will become the third major approach ( in addition to traditional qualitative literature reviews and meta-analyses ) used for reviewing scientific literature.. Topic modeling could be applied to document abstracts and full texts, which can be later connected based on their thematic similarity.. These methods hold great potential for expanding the scope of mapping the management and organization domain.
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3. What is the common method of finding subgroups in bibliometric studies?
Exploratory factor analysis (EFA) with principal component analysis (PCA) as an extraction method is one of the most frequently used techniques for finding subgroups in bibliometric studies.
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4. What is the advantage of exploratory factor analysis over cluster analysis?
The advantage of exploratory factor analysis over cluster analysis is that it does not force objects into groups (clusters), but is able to accommodate the universality of work, which can belong to multiple factors.
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