Search results

This study aims to identify the trends that have changed in the field of construction management over the last 20 years.

In this study, 3,335 journal articles published in the years 2000–2020 were collected from the Web of Science database in construction management. The authors applied bibliometric analysis first and then detected topics with the latent Dirichlet allocation (LDA) topic detection method.

In this context, 20 clusters from cluster analysis were found and the topics were extracted in clusters with the LDA topic detection method. The results show “building information modeling” and “information management” are the most studied subjects, even though they have emerged in the last 15 years “building information modeling,” “information management,” “scheduling and cost optimization,” “lean construction,” “agile approach” and “megaprojects” are the trend topics in the construction management literature.

This study uses bibliometric analysis. The authors accept that the co-citation and co-authorship relationship in the data is ethical. They accept that honorary authorship, self-citation or honorary citation do not change the pattern of the construction management research domain.

There has been no study conducted in the last 20 years to examine research trends in construction management. Although bibliometric analysis, systematic literature reviews and text mining methods are used separately as a methodology for extracting research trends, no study has used enhanced bibliometric analysis and the LDA topic detection text mining method.

The purpose of this paper is to review the diversified existing literature on tourism and carbon emissions using bibliometric analysis to churn down the multiple studies under one paper, which not only provides insights into the evolution and progress of the research area but also sets the future research agenda.

The study adopted the Scientometrics review methodology based on the bibliometric analysis. Bibliometric analysis is conducted through the following techniques, namely, citation analysis, thematic mapping, country collaboration, co-citation analysis and co-occurrence of keywords with the help of R-based bibliometrix and visualization of similarities (VOS) viewer open-source software.

The study identified the most prominent authors, studies, journals, affiliations and countries in the field of sustainable tourism, as well as the most co-cited authors and journals, based on a bibliometric analysis of 398 research papers retrieved from the Scopus database during the past three decades (1990–2021). Moreover, some of the relevant themes identified by the authors are energy use and carbon dioxide (CO₂) emission of the tourism sector, economic impacts of tourism and CO₂ emissions and CO₂ emissions and carbon tax.

The outcome of the selected studies is a unique contribution to the field of sustainable tourism as it is one of the first known studies to review tourism and carbon emissions. It provides in-depth bibliometric analysis of articles and identification of the important research trends.

This paper aims to examine the trends in research studies in the past decade which address the use and analysis of propaganda in social media using natural language processing. The purpose of this study is to conduct a comprehensive bibliometric review of studies focusing on the use, identification and analysis of propaganda in social media.

This work investigates and examines the research papers acquired from the Scopus database which has huge number of peer reviewed literature and also provides interfaces to access required for bibliometric study. This paper has covered subject papers from 2010 to early 2020 and using tools such as VOSviewer and Biblioshiny.

This bibliometric survey shows that propaganda in social media is more studied in the area of social sciences, and the field of computer science is catching up. The evolution of research for propaganda in social media shows positive trends. This subject is primarily rooted in the social sciences. Also this subject has shown a recent shift in the area of computer science. The keyword analysis shows that the propaganda in social media is being studied in conjunction with issues such as fake news, political astroturfing, terrorism and radicalization.

The lack of highly cited papers and co-citation analysis implies intermittent contributions by the researchers. Propaganda in social media is becoming a global phenomenon, and ill effects of this are evident in developing countries as well. This denotes a great deal of scope of work for researchers in other countries focusing on their territorial issues. This study was conducted in the confines of data captured from the Scopus database. Hence, it should be noted that some vital publications in recent times could not be included in this study.

The uniqueness of this work is that a thorough bibliometric analysis of the topic is demonstrated using several forms such as mind map, co-occurrence, co-citations, Sankey plot and topic dendrograms by using bibliometric tools such as VOSviewer and Biblioshiny.

The purpose of this paper is to describe the methods and findings of a pilot study which applied bibliometrics and webometrics to examine collaboration in Malaysian biotechnology.

The research applied bibliometric and webometric methods to publications and web sites affiliated with Malaysian institutions. The bibliometric analysis focused on biotechnology‐related journal articles indexed in Web of Knowledge. The webometric analysis examined the web sites of top biotechnology institutions generated in the bibliometric analysis. Collaboration behaviour was assessed in three ways: intra‐institutional versus inter‐institutional; national versus international collaboration; and by type of institution collaboration according to the triple helix model.

Findings of the pilot study, which applied bibliometric and webometric analyses to a limited sample, indicate that the methodologies will collect the desired data for a more extensive study.

The quantitative research results describe the collaboration evident in publications and web sites, but not why it has happened in such a way.

The methodologies provide a framework for similar research exploring the impacts of collaboration in an e‐research environment. The methodology is innovative and practical in terms of the combined use of bibliometric and webometric analyses.

This is one of few studies that has examined collaboration using both bibliometric and webometric methods, and elements of the methodology appear to be unique to the study. The methodologies will contribute to an emerging body of literature that explores the nature of research productivity and research collaboration.

In recent decades, interconnections between countries have increased substantially worldwide as the process of integration and globalisation intensifies, with a positive impact in terms of economic development, but, also with a vulnerability to external shocks, such as the financial contagion phenomenon. The analysis of this research field becomes even more relevant in the context of a new major exogenous shock, but which, this time, has different specificities, being a sanitary crisis. Thus, the chapter aims to investigate the impact of crises on capital market volatility for the period of 1995–2021, using the bibliometric analysis highlighting the dynamics of the literature and potential future research directions through a science mapping that enables investigating scientific knowledge. In order to explore the development of the research field in terms of publications, author impact, affiliated institutions and countries, citation patterns, trending topics, relationship between keywords–authors–journals, abstracts’ analysis, authors and documents clustering by coupling, multiple correspondence analysis of major research themes, keyword analysis, co-citation analysis and authors, institutions and countries collaboration analysis have been applied. Hence, almost 500 publications from Web of Science database covering the period 1995–2021 have been extracted. The empirical findings emphasise the conceptual structure, with clusters focussing mainly on long-term receivables, market efficiency, volatility, dynamic conditional correlation (DCC)-GARCH models, asymmetric effects. According to the intellectual structure of the field, Lambertides N., Zopiatis A., McAleer M. or Savva C. S. are the most representative authors for the sub-area of volatility topic; whilst Balcerzak A. P., Pietrzak M. B., Zinecker M., Meluzin T. and Faldzinski M. are the reference names for the whole spectrum of DCC-GARCH models’ topic. Jayasekera R., Lundblad C., Choundhry T., Gupta R. and Demirer R. are the authors mostly associated with asymmetric effects’ topic, whilst Thorp S., Bouchaud J. P. and Dungey M. with the quantitative finance. The Journal of Banking & Finance, the Journal of International Money and Finance and the International Review of Financial Analysis as well as Economic Modelling, Research in International Business and Finance and the International Journal of Finance & Economics are the most prolific journals in the field of capital flow and financial crises. This chapter’s main contribution is to build a structure of knowledge for the impact of crises on capital market volatility, elaborate and classify empirical research into relevant dimensions that can be used as a reference for comprehensively developing research. Finally, the bibliometric analysis results may provide insight into future research prospects. Our conclusions offer some recommendations for market practitioners and policy-making.

Diversity management has gained researchers' and practitioners' attention because of its competitive advantage and performance outcomes in an organization. Despite increasing literature, there is no common understanding of the evolution and intellectual structure of diversity management. Therefore, this study aims to identify the leading works and analyze the changes in diversity management research's knowledge structure.

This study adopts a novel approach using bibliometric methods to analyze the 785 papers published between 1990 and 2019. Bibliometric analysis is applied to identify the seminal work using the bibliometrix package.

The bibliometric network visualization findings have highlighted the most influential works, prominent authors, theoretical insights, current research trends and gaps. Several clusters are extracted from bibliometric networks, and cluster analysis has integrated the different unconnected subfields and highlighted the major theme explored in diversity management research.

This is the first bibliometric study that explored the intellectual structure of diversity management research. This study has provided theoretical and practical contributions for academicians and human resource practitioners and suggested future research avenues.

Improving business processes provides companies with advantages in terms of efficiency and profitability, as well as competitiveness against other companies in the market. Companies that integrate business processes with enterprise resource planning (ERP) systems into digital platforms also have the opportunity to strengthen their weaknesses by recognizing disruptions and bottlenecks in inefficient business processes thanks to this digital transformation. Descriptive and bibliometric analyses were performed in this study for a systematic evaluation of studies on artificial intelligence (AI) in the ERP literature. The studies in which the keywords determined from the AI literature were firstly used together with ERP were investigated from the Scopus database. 837 publications meeting the search criteria were reached and a descriptive analysis of these publications was presented. Then, bibliometric analysis was performed using common author, common citation, and common keyword analysis methods for 296 publications in the article type. Tsinghua University and Obuda University have the most publications according to the results. The most commonly used AI keywords in the ERP studies were “genetic algorithm”, “fuzzy logic”, and “machine learning”. This study aims to guide future studies by providing a systematic and new perspective to researchers and experts working on ERP-AI.

Purpose: This chapter aims to review the research literature on the insurance industry and map the emerging research trends in this field through a bibliometric analysis and network visualisation exercise.

Design/methodology/approach: The research literature gathered from the Web of Science (WoS) databases was applied to bibliometric analysis in this article. With the help of Biblioshiny, this research was utilised to identify documents, most prolific institutions, countries, resource titles, and WoS categories in the insurance industry. In addition, bibliometric mapping was used to identify national and institutional collaboration networks.

Findings: The author discovered that the literature had increased drastically in the academic discourse during the last two decades. According to the bibliometric data, developed countries such as the United States and the United Kingdom reign research in this sector. The research highlights the most prominent studies and writers in the insurance field and the evolution of the domain from its inception to the contemporary. It also highlights theoretical disagreements and contradictions between theoretical conceptualisation and empirical measures by presenting the significant concerns in the literature.

Originality/value: This chapter delivers the first comprehensive bibliometric analysis of the insurance sector’s literature production in connection to emerging technology, which will aid researchers and practitioners in better understanding the relationships between themes and outsiders to understand the domain area better. The author makes recommendations for future perspectives study directions and highlights the critical conceptual framework that can build future research. Overall, this research contributes to a better understanding of the insurance industry and offers new perspectives.

This study aims to highlight the current trends in the literature on corporate governance by applying a bibliometric review of papers on corporate governance topics published in the journal of Corporate Governance: The International Journal of Business Society (Bingley).

Bibliometric analysis is a quantitative and qualitative approach applied to bibliographic materials that highlights the core theoretical and empirical contributions to a specific research field. This analysis was based on keyword cartography, bibliometric authors’ citation analysis, bibliometric papers’ co-citation analysis, bibliometric references’ co-citation analysis, journals’ co-citation cartography and qualitative content analysis. It reviews 353 articles on corporate governance published in the journal of Corporate Governance (Bingley). Bibliometric analysis was performed using VOSviewer, and content analysis was performed using WordStat.

The results identify three major clusters: corporate governance; board of directors; and firm performance. In addition, the results reveal that the journal Corporate Governance (Bingley) has experienced increasingly important growth in research papers on corporate governance topics and citations, reflecting its significant contribution to the corporate governance research field. This study also presents recommendations for future research in this field.

The findings of this study have implications for corporate governance research, such as the impact of ownership structure and the board of directors on environmental, social and governance disclosure. To the best of the authors’ knowledge, this study is the only one to review the key corporate governance research topics on which papers published in the journal of Corporate Governance (Bingley) are focused and can be largely used for corporate governance practices.

This study provides an overview of how the literature on corporate governance research has developed, as well as a summary of the most influential authors, along with countries, organizations and journal sources. This offers an opportunity for future research to focus on this topic.

The purpose of this study is to investigate the research and publication trends in the articles published in the conference proceedings of the Association for Information Science & Technology (ASIS&T) since the year 2000.

We analyzed two decades of ASIS&T proceedings to uncover bibliometric patterns. This study uses two bibliometric procedures applied to the publications in the ASIS&T conference proceedings – a bibliometrics analysis using three data sources (Scopus, ASIS&T proceedings website and Scimago journal ranking) and a scientific mapping analysis using VOSViewer.

We found 3,129 publications from 2000 to 2020, with more than three-quarters jointly authored. Most authors are from the United States, Canada and China. Social media and information behavior are the top-researched areas. The top-cited journals are the Journal of the Association for Information Science & Technology, Information Processing and Management and Library and Information Science Research.

The study will help information professionals understand patterns in recent research, which should help guide them in their future research directions.

The findings affirm ASIS&T’s move to an international association and point to the growing importance of collaborative work and social media.

ASIS&T has been holding annual meetings since the 1950s. While there have been various bibliometric studies analyzing publication trends in different journals in the field of information science, none of these studies have analyzed the ASIS&T conference proceedings.