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Purpose: The objective of the article is to determine the numerical increase in publications on green libraries and the dynamics of its development as well as to determine the thematic structure of the scientific literature in the field of green libraries and its changes as a representation of research in this area. Design/methodology/approach: The research material consisted of publications on green libraries published between 1991 and 2020, indexed in the Web of Science database. The bibliometric method was used to determine the numerical increase in publications on green libraries and the dynamics of its development. In order to characterize the thematic structure of publications representing research in this area, content analysis was performed. Findings: Quantitative analysis of the literature on green libraries has shown that this is a new area of research not explored with constant intensity. The time of publishing materials on green libraries can be divided into two periods: the so-called period of first publications between 1991 and 2006, and the period between 2007 and 2020, when the number of publications increased relatively systematically. The content analysis confirmed the hypothesis that the most frequent theme is the issue of a green building and its management. It showed that the period after 2010 is the time of building a theoretical framework for a new research field, i.e. green libraries. Originality/value: The main value of the article is the performance of a quantitative and qualitative analysis of the scientific literature indexed in the Web of Science devoted to green libraries, from the moment of the first publications to the present day. The codebook developed for the needs of content analysis can constitute the basis for the development of criteria for the evaluation of green libraries and guidelines for their organization. [ABSTRACT FROM AUTHOR]

Purpose: This study continues a long history of author co-citation analysis of the intellectual structure of information science into the time period of 2011–2020. It also examines changes in this structure from 2006–2010 through 2011–2015 to 2016–2020. Results will contribute to a better understanding of the information science research field. Design/methodology/approach: The well-established procedures and techniques for author co-citation analysis were followed. Full records of research articles in core information science journals published during 2011–2020 were retrieved and downloaded from the Web of Science database. About 150 most highly cited authors in each of the two five-year time periods were selected from this dataset to represent this field, and their co-citation counts were calculated. Each co-citation matrix was input into SPSS for factor analysis, and results were visualized in Pajek. Factors were interpreted as specialties and labeled upon an examination of articles written by authors who load primarily on each factor. Findings: The two-camp structure of information science continued to be present clearly. Bibliometric indicators for research evaluation dominated the Knowledge Domain Analysis camp during both fivr-year time periods, whereas interactive information retrieval (IR) dominated the IR camp during 2011–2015 but shared dominance with information behavior during 2016–2020. Bridging between the two camps became increasingly weaker and was only provided by the scholarly communication specialty during 2016–2020. The IR systems specialty drifted further away from the IR camp. The information behavior specialty experienced a deep slump during 2011–2020 in its evolution process. Altmetrics grew to dominate the Webometrics specialty and brought it to a sharp increase during 2016–2020. Originality/value: Author co-citation analysis (ACA) is effective in revealing intellectual structures of research fields. Most related studies used term-based methods to identify individual research topics but did not examine the interrelationships between these topics or the overall structure of the field. The few studies that did discuss the overall structure paid little attention to the effect of changes to the source journals on the results. The present study does not have these problems and continues the long history of benchmark contributions to a better understanding of the information science field using ACA. [ABSTRACT FROM AUTHOR]

Purpose: Multiple disciplines such as finance, management and economics have contributed to governance research over time. However, the full intellectual structure of the governance "field" including the exchange of knowledge across disciplines and the large variety of governance topics remains to be uncovered. To appreciate the breadth of corporate governance research, it is necessary to understand the disciplinary sources from which the research stems. This manuscript focuses on the interdisciplinary underpinnings of corporate governance research. Design/methodology/approach: This paper employs bibliometric analysis to trace the evolution of corporate governance using articles included in the ISI Web of Science database between 1990 and 2015. Journals included in these categories encompass a full range of business disciplines and provide evidence of the multi-disciplinary nature of corporate governance. It also uncovers the topics treated by disciplines under the governance umbrella using a machine learning method called latent Dirichtlet allocation (LDA). Findings: Corporate governance research deals with a number of strategy-related topics. Unlike strategy topics that reside in a single discipline, corporate governance crosses disciplinary boundaries and includes contributions from accounting, finance, economics, law and management. Our analysis shows that over 80% of corporate governance articles come from outside the field of management. Our LDA solution indicates that the major topics in governance research include corporate governance theory, control of family firms, executive compensation and audit committees. Originality/value: The results illustrate that corporate governance is far more interdisciplinary than previously thought. This is an important insight for corporate governance academics and may lead to collaborative research. More importantly, this research illustrates the usefulness of LDA for investigating interdisciplinary fields. This method is easily transferable to other interdisciplinary fields and it provides a powerful alternative to existing bibliometric methods. We suggest a number of topic areas within library and information science where this method may be applied, including collection development, support for interdisciplinary faculty and basic research into emerging interdisciplinary areas. [ABSTRACT FROM AUTHOR]