Search results

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.

Purpose: This study aims to employ bibliometric analysis to condense multiple studies into a single publication that not only gives insights into the growth and advancement of the research area but also establishes a future research agenda. This study provides a summary of advances in academic research on money laundering. The research includes bibliometric analysis and visualisation of bibliographic data using the Scopus database. The results of the study show that there has been a significant increase in the number of publications in the field of money laundering research, with topics focussed on specific areas. This study will also benchmark existing and preliminary themes, designs, and methodological choices for future money laundering research.

Methodology: With the help of the ‘visualisation of similarities’ (VOS) viewer open-source software, bibliometric analysis was performed using Scopus data. Citation analysis, topic mapping, country collaboration, co-citation analysis, and keyword co-occurrence analysis are some of the approaches used in bibliometric analysis.

Findings: Based on a bibliometric analysis of 1,391 research papers retrieved from the Scopus database over the past three decades (1990–2021), the study identified the most prominent authors, studies, journals, affiliations, and countries in the field of money laundering, as well as the most co-cited authors and journals. The writers also highlight future study issues in the field of money laundering.

Practical implications: The study’s findings might provide academics and practitioners with information on the present state of money laundering research and trend subjects. It can also be used as a guideline for identifying possible research gaps in the existing literature.

Purpose: As a result of the transition from the paradigm of ‘knowledge and skills’ learning to the university of uncertainty, the concept of VUCA has grown for the revision of various adaptive models of educational practices.

Need for Study: The primary goal is to explore the research field of the educational system and learning environments; the investigation of scientific knowledge is enabled by bibliometric analysis, revealing through it the fluctuations of the literature.

Methodology: To better view the historical evolution of publications in the educational system field, two data samples were integrated into this study, with the focus of the chapter being on the authors, keywords, articles, journals, subject analysis, word cloud analysis, and cluster analysis. The first includes 1,620 Web of Science-recorded documents published between 1991 and 2022, and the second sample comprises 159 Scopus-recorded papers published between 1978 and 2022.

Findings: The first empirical results show that interest in this subject escalated around 2008. The main concerns around this research field are the labour market, teaching-learning, technology, economic development, the medical field, and sustainability. After 2020, a new subject took amplitude, seemingly connected to the educational system and learning environment, that subject being ’COVID-19.

Practical Implications: The relationship between authors, keywords, and sources is illustrated through Sankey diagrams, from which valuable information can be extracted: nine of the Scopus authors have published articles in the ‘Journal of Higher Education Policy and Management’ documents that present the following list of keywords: ‘higher education’, ‘education’, ‘management’, ‘leadership’, and ‘tertiary education’.

Purpose: The study’s objective is to look at the link between money laundering and economic and financial performance, emphasising the effectiveness of the literature and possible later research directions using science mapping, which allows for scientific knowledge analysis.

Need for the Study: This study is related to a better understanding of the field’s historical evolution in terms of publications.

Methodology: This study used bibliometric approaches to analyse a sample of 660 studies from the Web of Science between 1994 and 2022, concentrating on keywords, author, paper, journal, and subject analysis. This study focused on performance analysis and scientific mapping of articles using the R package.

Findings: The empirical results indicated that the research field’s primary issues include corporate governance, fraud, machine learning, fraud detection, financial fraud, financial statement, corruption, earnings management, ethics, governance, financial reporting, bankruptcy, internal control, or performance. M. S. Beasly, D. B. Farber, E. M. Fich, R. Romano, and A. Shivdasani are the most well-known authors on the issue of money laundering and financial and economic performance. At the same time, the most typical journals are the Journal of Business Ethics, Journal of Money Laundering Control, Accounting Review, Journal of Financial Economics, and Journal of Corporate Finance.

Practical Implications: This study will act as a guide for researchers of various fields to evaluate the development of scientific publications in a particular theme over time, especially for those who are in the field of money laundering and financial performance.

Purpose: Since its inception in 1987, the literature on the VUCA that represents the volatile, uncertain, complex, and ambiguous nature of the business environment has progressively increased. This study systematically evaluates the vast literature on the VUCA world. Since review-based studies have been criticised as biased, this study uniquely amalgamates bibliometric analysis with content analysis, thereby taking a research triangulation discourse.

Need of the Study: This study was conducted to consolidate the literature about the VUCA environment and uncover the foundational and emerging themes for future research agendas.

Design/Methodology/Approach: This study conducts a performance analysis and science mapping of 193 carefully selected articles (using PRISMA) published in various sources during 2012–2023. Articles for the study were procured from the SCOPUS database. While performance analysis focused on analysing publication and citation evolution, thematic evolution, leading publications, country publication analysis, and most relevant authors and sources. On the other hand, science mapping revealed conceptual structures (keyword plus co-occurrence analysis and thematic maps) and intellectual structures (co-authorship analysis). VOSviewer and Biblioshiny (R-tool for comprehensive science mapping) were used for this study’s choice of application.

Findings: This chapter concludes with future research agendas using content analysis of the ‘scope for the future research’ section of selected publications and bibliographic coupling (to unearth emerging themes).

Practical Implications: The work presented in this chapter will help the researchers gain a structured conceptual, intellectual, and social understanding of the vast literature on the VUCA environment.

The aim of the present study is to perform bibliometric analysis on available literature on the subject of cultural diversity in the tourism sector. The Scopus database is used to retrieve the research article data and 133 articles were fetched over a period of 33 years (1988–2021). The further analysis is performed using and Biblioshiny tool package of R programming language and VOSviewer. The findings for study not only reveal the trends of publications but also produced the information on most influential authors, journals, and universities which are actively contributing to the subject of cultural diversity in tourism. Various network graphs are also generated using software to draw meaningful conclusions. The present study will not only aid future investigators in understanding the past developments on the subject of cultural diversity in tourism but also help industry professionals in formulating better strategies and tactics keeping in mind the cultural dimension of tourism. The present study is a maiden attempt to perform the bibliometric analysis on the subject of cultural diversity in tourism.

Artificial neural networks (ANNs), which represent computational models simulating the biological neural systems, have become a dominant paradigm for solving complex analytical problems. ANN applications have been employed in various disciplines such as psychology, computer science, mathematics, engineering, medicine, manufacturing, and business studies. Academic research on ANNs is witnessing considerable publication activity, and there exists a need to track the intellectual structure of the existing research for a better comprehension of the domain. The current study uses a bibliometric approach to ANN business literature extracted from the Web of Science database. The study also performs a chronological review using science mapping and examines the evolution trajectory to determine research areas relevant to future research. The authors suggest that researchers focus on ANN deep learning models as the bibliometric results predict an expeditious growth of the research topic in the upcoming years. The findings reveal that business research on ANNs is flourishing and suggest further work on domains, such as back-propagation neural networks, support vector machines, and predictive modeling. By providing a systematic and dynamic understanding of ANN business research, the current study enhances the readers' understanding of existing reviews and complements the domain knowledge.

Digitalization can drive the sustainable development of society and industry. However, a lot of the opportunities are tightly related to the risks. This chapter investigates how academic performance in terms of scientific publications at the intersection of digitization, sustainable development, and industry brings added value to the research field. The analysis focuses on the academic papers that research the relationship between digitalization, sustainable development, and industry, analyzing comparatively two primary academic databases, Scopus and Web of Science (WoS). To do that, two samples of scientific publications were investigated. The first sample comprised 703 documents indexed in WoS, while the second was formed by 566 documents indexed in Scopus. The analyzed period for WoS is 1996–2022, while for Scopus is 2000–2022. The empirical results indicated that the research field's primary issues include digitalization, digital transformation, the construction industry, sustainability, COVID-19, and innovation for both WoS and Scopus. The most relevant authors on this cross-cutting subject in the WoS database are Beier G., Aigbavboa C., and Kumar M. In contrast, in the Scopus database, we found Beier G., Ghobakhloo M., and Iranmanesh M. At the same time, the most typical journals are the International Journal of Production Research, Sustainability, and Computers in Industry for WoS and Sustainability, Journal of Cleaner Production, and Procedia CIRP for Scopus.

Nation-states, researchers, and organizations realized the pivotal role of social entrepreneurship in economic development in the recent two decades. The body of knowledge in this domain witnessed consistent research growth but it still lacks a critical review to guide future researchers. This chapter contributes to the body of knowledge by presenting the first bibliometric analysis (using software such as HistCite, VOSviewer, and Biblioshiny). The relevant articles were searched in the Web of Science (WOS) database to ensure the inclusion of high-quality research. Among 910 initially retrieved publications 86 most relevant publications were included in the final dataset. The analysis included various bibliometrics and visualization maps such as the publication trends, most influential articles and journals, most productive countries and organizations, co-citation analysis, and thematic clustering of the research. The findings showed an overall consistent growth in research publications during the last 16 years (2005–2020) with Social entrepreneurship and enterprise: international and innovation perspectives' as the most influential article, Entrepreneurship and Regional Development as the most influential journal, and the United States and the United Kingdom as the most productive countries. The keyword co-occurrence analysis exposed five thematic clusters within the selected dataset indicating a relatively less focus on economic development aspects. Thus, future research should explore how social entrepreneurship, while solving social, cultural, environmental, and community issues, contributes to economic development. The research implications and limitations are discussed in the end.

This chapter analyses the evolution of strategic corporate social responsibility (CSR). Despite extensive research on the strategic aspects of CSR, the absence of a well-defined theoretical concept has hindered the development of the field. The authors build on the four mechanisms that conceptually distinguish strategic CSR from CSR in general: enhancing firm reputation, increasing stakeholder reciprocation, mitigating firm risk, and strengthening innovation capacity. By using bibliometric methods, we analyze the main topics, references, and sources of papers, found in the Web of Science Core Collection database. The analysis of the strategic CSR field discusses main topics through three periods (1991–2009, 2010–2014, and 2015–2019). The findings help identify the mapping of conceptual space of the strategic CSR field and suggest grounds for continuing the debates on how to advance the micro-level perspectives on CSR.