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In this chapter we examine the extant research in international business (IB) by conducting a bibliometric study of the articles published in three leading IB journals – International Business Review, Journal of International Business Studies and Management International Review, over their entire track record of publication available in the ISI – Institute for Scientific Information. In longitudinal analyses of citation data we ascertain the most relevant works of the IB field. We also identify intellectual interconnectedness in co-citation networks of the research published in each journal. A second-tier analysis delves into publication patterns of those articles that are not at the top citation listings. Our results permit us better understand and depict the extant IB research and, to some extent, its evolution thus far.

The adverse effect of plastic pollution on the tourism industry is one of the emerging research areas in the field of sustainable tourism over the past years. However, there is a lack of discussion on this issue in the academic platforms. Considering this, in this chapter, a scientometric analysis of 110 academic publications from the Web of Science (WoS) between 1999 and 2021 related to plastic pollution and tourism is presented. A bibliometric analysis using CiteSpace was utilised to analyse the data to present the keyword timezone, collaboration network and co-citation network. The analysis shows that the publications in this field have increased rapidly, and it has become an emerging and interdisciplinary research topic. Scholars from Australia, Spain, Brazil and China have published most on the topic. The Chinese Academy of Science with four articles is the largest contributor in this field among other institutions. Moreover, citizen science is found to be a new keyword coming up in recent years, and human health is one of the major concerns. The findings from this study provide valuable insights for the academicians and policy makers in understanding the issue.

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.

Bibliometrics is an instrument that allows the analysis of evolution, current state, and future trends in a scientific field. Many disciplines, such as hospitality and tourism, have undertaken bibliometric studies. Based on a review of the leading bibliometric methods used in the main bibliometric documents published in the hospitality and tourism field between 2010 and 2019, this chapter aims to propose a bibliometric guide to help researchers undertake studies based on bibliometric techniques, both evaluative and relational. Any bibliometric research comprises five phases: setting the research questions, selecting the appropriate database, establishing the criteria to follow, filtering the data, applying the proper methods, and analyzing the results. This chapter elaborates on these stages, highlighting the most important evaluative and relational techniques to study the structure of a scientific field from a bibliometric approach. Bibliometric studies provide valuable knowledge for academia, governments, and research centers. It also helps journals' editors evaluate publications and make editorial decisions.

This systematic literature review used bibliometric and science mapping as a means of exploring and understanding the evolution and landscape of research in the counterfeiting of products and goods. The review sought to document the size, growth trajectory and geographic distribution of counterfeiting research, identify high-impact scholars and documents, and explore the intellectual structure of the field. We identified 403 peer-reviewed articles published in the SCOPUS database, within subject areas of business, social sciences, economics, decision-making, arts and humanities, and psychology. We used VOSviewer software to analyse the data set of SCOPUS-indexed articles. Using citation analysis, the review identified the most cited scholars, documents, journals and most productive countries publishing research on counterfeiting. Aiming to identify highly influential documents whose impact in counterfeiting research has been sustained over time, we conducted a co-citation analysis. Apart from identifying main aspects of knowledge production through citation and co-citation analysis, we employed keyword co-occurrence analysis to illuminate research fronts in counterfeiting research, notably: anti-counterfeiting strategies for combating crime; counterfeiting and intellectual property rights; counterfeiting of luxury products; consumer ethics; consumer psychology and brand protection. We conclude that bibliometric analysis and science mapping offer a novel and useful means of investigating the development of this field of study.

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’.

The purpose of this paper is to carry out a bibliometric analysis of the Competence-Based Management (CBM) field. From the first books dedicated to CBM (Hamel & Heene, 1994; Sanchez, Heene, & Thomas, 1996; Heene & Sanchez, 1997) to more recent publications, the CBM field experienced a significant development. As the International Conferences on Competence-Based Management is a place for exchange and development of new ideas and applications, it appears to be central to the consolidation of the field. The conferences are followed by the publication of a series of books and a journal (Research in Competence-Based Management). Therefore it seems particularly adapted to use these publications in order to analyze the CBM field. We identified 12 books and 3 journal issues published between 1994 and 2005. This corresponds to a total of 185 papers written by 213 different authors, and a total of 7,958 references cited in these papers. We present the results of our research in three steps. First, we analyze the profile of the authors of the papers. This leads to the identification of the most prominent authors and the identification of the authors' country of origin. Second, we analyze the content of the papers. We identify the type of the papers (theoretical or empirical), the main methodology (qualitative or quantitative), and the keywords. Third, we analyze the references. This allows the identification of the most frequently cited references, and their historical structure. In order to deepen the latter analysis, we perform a co-citation analysis to identify networks of references. The overall results lead to a better understanding of the organization of the CBM field.

Purpose – As researchers need partners to collaborate with, this study aims to provide author recommendation for academic researchers for potential collaboration, conference planning, and compilation of scientific working groups with the help of social information. Hereby the chapter analyzes and compares different similarity metrics in information and computer science.

Methodology/approach – The study uses data from the multidiscipline information services Web of Science and Scopus as well as the social bookmarking service CiteULike to measure author similarity and recommend researchers to unique target researchers. The similarity approach is based on author co-citation, bibliographic coupling of authors and collaborative filtering methods. The developed clusters and graphs are then evaluated by these target researchers.

Findings – The analysis shows, for example, that different methods for social recommendation complement each other and that the researchers evaluated user- and tag-based data from a social bookmarking system positively.

Research limitations/implications – The present study, providing author recommendation for six target physicists, is supposed to be a starting point for further approaches on social academic author recommendation.

Practical implications – The chapter investigates in recommendation methods and similarity algorithm models as basis for an implementation of a social recommendation system for researchers in academics and knowledge-intensive organizations.

Originality/value of chapter – The comparison of different similarity measurements and the user evaluation provide new insights into the construction of social data mining and the investigation of personalized recommendation.

This paper examines the diffusion of Jerry Hausman's econometric ideas using citation counts, citing authors, and source journals of his most referenced citers. Bibliographic information and citation counts of references to econometrics papers were retrieved from Thomson Reuters Web of Science and analyzed to determine the various ways in which Hausman's ideas have spread in econometrics and related disciplines. Econometric growth analysis (Gompertz and logistic functions) is used to measure the diffusion of his contributions. This analysis reveals that the diffusion of Hausman's ideas has been pervasive over time and disciplines. For example, his seminal 1978 paper continues to be strongly cited along exponential growth with total cites mainly in econometrics and other fields such as administrative management, human resources, and psychology. Some of the more recent papers have a growth pattern that resembles that of the 1978 paper. This leads us to conclude that Hausman's econometric contributions will continue to diffuse in years to come. It was also found that five journals have published the bulk of the top cited papers that list Hausman as a reference, namely, Econometrica, Journal of Econometrics, Review of Economic Studies, Academy of Management Journal, and the Journal of Economic Literature. “Specification tests in econometrics” is Hausman's dominant contribution in this citation analysis. We found no previous research on the econometric modeling of citation counts as done in this paper. Thus, we expect to stimulate methodological improvements in future work.