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Purpose: This study aims to provide the current and future state of United Nations' Sustainable Development Goals (SDGs) in the higher education institutions (HEIs). Since the SDGs' proliferation, HEIs have played a crucial part in meeting the goals. Despite the central role of HEIs in accomplishing the SDGs, there has been little attention in providing a comprehensive overview of the SDGs in relation to HEIs. Design/methodology/approach: A total of 280 publications in the Web of Science database were analyzed through a bibliometric approach consisting of citation analysis, co-citation analysis and co-occurrence of keywords analysis. This review explores the current state of SDGs, its central themes of research streams and predicts future direction in the context of HEIs. Findings: The findings would assist stakeholders to strategize the SDGs on HEIs, including the government and policymakers, university top management, benefactors and academics. Three main research streams were observed sustainable curriculum; challenges and barriers of SDGs; and COVID-19 and health management. Research limitations/implications: Implications suggest that to achieve the stipulated goals in the SDGs, proper planning and strategy should be aligned proportionate to the national agenda. Originality/value: This paper presents a novel knowledge structure by mapping the most relevant SDGs in the context of HEIs based on bibliometric analysis. [ABSTRACT FROM AUTHOR]

Purpose: With the continuous development of Internet technology, virtual brand communities (VBCs) have increasingly become essential fronts for enterprises and consumers to carry out professional communication and the leading platform for consumers and other consumers to engage in social and brand discussion. Meanwhile, numerous scholars began to pay attention to VBCs as their research topic. However, there is no systematic understanding of the existing literature on the VBCs research. Therefore, this study aims to provide a comprehensive and systematic review of VBCs research over the past twenty years. Design/methodology/approach: Based on HistCite and CiteSpace software, descriptive statistics and bibliometric analysis were conducted in this study. Specifically, by adopting research cooperation network analysis, co-citation analysis of literature, cluster analysis and co-word analysis, the authors analyzed 1,157 articles on VBCs in the Web of Science database from 2000 to 2020. Findings: This study summarizes the research of VBCs from three aspects. First, the general characteristics of VBCs literature are analyzed. Second, knowledge bases, research contents, theoretical foundations and theoretical contributions of VBCs are dug and integrated into a knowledge framework. Third, the evolution and trend of VBCs research topics are visualized and analyzed in two phases (from 2005 to 2012 and from 2013 to 2020). Originality/value: This study describes the research status, knowledge structure and famous topics of VBCs research over the past twenty years. Further, the research topics for VBCs have maintained continuity in the last twenty years. Furthermore, the research topics have also been evolving with the development of network technology and changes in the external environment. These results also provide valuable clues about this field's future directions and practical implications. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to measure the quality of nuclear science and technology research using the scientometric indicators, like activity index, attractivity index and publication efficiency index. Design/methodology/approach: The present scientometric study is based on the bibliographic data extracted from the core collection of the Web of Science database from 1989 to 2019. The data was collected using the advanced search feature, with a search string of 28 related terms. The bibliographic data for all the journal articles, excluding all other formats, was downloaded for statistical analysis. Findings: The present study highlights the growth pattern and the research efforts devoted to the field of nuclear science and technology worldwide, as reflected through the Core Collection of the Web of Science database, for 31 years from 1989 to 2019. The USA has emerged as the topmost producer, with a total share of almost 29% with respect to the world literature followed by Japan, Germany, France and UK. However, the relative citation impact has been the highest for Netherlands followed by the USA, Germany, France and UK, respectively. The study depicted that the activity index, also called as the relative performance indicator, has been the highest for the USA, whereas the attractivity index has been the highest for China, indicating its dominance in attracting citations to its publications in the field of nuclear science and technology. The publication efficiency index, the value has been the maximum for Iran, for which the value has been greater than 1 (1.618). The measure suggests that Iran's research effectiveness in the field of nuclear science and technology has been more than the research effort devoted to the field. Research limitations/implications: The paper was based on the data retrieved from a single database, and the results may vary across other databases. Hence, caution should be taken while generalizing the findings. Originality/value: Several scientometric studies have taken place in the field of nuclear science and technology, particularly in its allied branches, but none of the studies has focused on evaluating the research efforts carried out by the countries in terms of activity index, attractivity index and publication efficiency index, and the present study is an attempt to fill the gap. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to describe a bibliometric analysis of recent articles addressing the applications of e- noses with particular emphasis on those dealing with fuel-related products. Documents covering the general area of e-nose research and published between 1975 and 2021 were retrieved from the Web of Science database, and peer-reviewed articles were selected and appraised according to specific descriptors and criteria. Design/methodology/approach: Analyses were performed by mapping the knowledge domain using the software tools VOSviewer and RStudio. It was possible to identify the countries, research organizations, authors and disciplines that were most prolific in the area, together with the most cited articles and the most frequent keywords. A total of 3,921 articles published in peer-reviewed journals were initially retrieved but only 47 (1.19%) described fuel-related e-nose applications with original articles published in indexed journals. However, this number was reduced to 38 (0.96%) articles strictly related to the target subject. Findings: Rigorous appraisal of these documents yielded 22 articles that could be classified into two groups, those aimed at predicting the values of key parameters and those dealing with the discrimination of samples. Most of these 22 selected articles (68.2%) were published between 2017 and 2021, but little evidence was apparent of international collaboration between researchers and institutions currently working on this topic. The strategy of switching energy systems away from fossil fuels towards low-carbon renewable technologies that has been adopted by many countries will generate substantial research opportunities in the prediction, discrimination and quantification of volatiles in biofuels using e-nose. Research limitations/implications: It is important to highlight that the greatest difficulty in using the e-nose is the interpretation of the data generated by the equipment; most studies have so far used the maximum value of the electrical resistance signal of each e-nose sensor as the only data provided by this sensor; however, from 2019 onwards, some works began to consider the entire electrical resistance curve as a data source, extracting more information from it. Originality/value: This study opens a new and promising way for the effective use of e-nose as a fuel analysis instrument, as low-cost sensors can be developed for use with the new data analysis methodology, enabling the production of portable, cheaper and more reliable equipment. [ABSTRACT FROM AUTHOR]

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]

Purpose – In recent years, a large number of data repositories have been built and used. However, the extent to which scientific data are re-used in academic publications is still unknown. The purpose of this paper is to explore the functions of re-used scientific data in scholarly publication in different fields. Design/methodology/approach – To address these questions, the authors identified 827 publications citing resources in the Dryad Digital Repository indexed by Scopus from 2010 to 2015. Findings – The results show that: the number of citations to scientific data increases sharply over the years, but mainly from data-intensive disciplines, such as agricultural, biology science, environment science and medicine; the majority of citations are from the originating articles; and researchers tend to reuse data produced by their own research groups. Research limitations/implications – Dryad data may be re-used without being formally cited. Originality/value – The conservatism in data sharing suggests that more should be done to encourage researchers to re-use other’s data. [ABSTRACT FROM AUTHOR]

Purpose – The purpose of this paper is to analyze the disciplinary orientation of scientific publications that were mentioned on different social media platforms, focussing on their differences and similarities with citation counts. Design/methodology/approach – Social media metrics and readership counts, associated with 500,216 publications and their citation data from the Web of Science database, were collected from Altmetric.com and Mendeley. Results are presented through descriptive statistical analyses together with science maps generated with VOSviewer. Findings – The results confirm Mendeley as the most prevalent social media source with similar characteristics to citations in their distribution across fields and their density in average values per publication. The humanities, natural sciences, and engineering disciplines have a much lower presence of social media metrics. Twitter has a stronger focus on general medicine and social sciences. Other sources (blog, Facebook, Google+, and news media mentions) are more prominent in regards to multidisciplinary journals. Originality/value – This paper reinforces the relevance of Mendeley as a social media source for analytical purposes from a disciplinary perspective, being particularly relevant for the social sciences (together with Twitter). Key implications for the use of social media metrics on the evaluation of research performance (e.g. the concentration of some social media metrics, such as blogs, news items, etc., around multidisciplinary journals) are identified. [ABSTRACT FROM AUTHOR]