Bibliometric Analysis of Malaysian Authorship: Trends, Patterns, And Prospects

Endogenous retrovirus (ERV) research amalgamates host-retroviral coevolutionary, phylogenomic, infection, immunity, and cellular studies in various hosts ranging from fish to humans. Henceforth, a bibliometric analysis of these publications may aid in the identification of trends in ERV research. It was the foremost bibliographic study, with the key aim to conduct the bibliometric network analysis (e.g. co-authorship, co-occurrence, citation, bibliographic coupling, and co-citation analysis) to find the most prolific authors, organizations, and countries in ERV research, based on the mapping of bibliographic data. Second, the mapping based on text data comprised to chalk out the research trend over the time. The global literature about endogenous retroviruses published between 1985 and Sep 2021 was searched in the Web of Science (Core Collection) database using the “ENDOGENOUS RETROVIRUS” keyword. The bibliometric analysis of this dataset was carried out using VOSviewer version 1.6.17. According to findings, English was the de facto language of these publications, and 2157 were original articles. Among 2939 published documents, “endogenous retrovirus” was the most frequent keyword. Moreover, it revealed the United States as a core contributor to studies on the ERV. The Journal of Virology published a substantial amount of manuscripts in ERV. Robert Koch Institute and Harvard University were leading organizations for research in this field. The application of ERV research from China could be the research hotspot to follow in the coming years. Current bibliometric analysis provides a comprehensive picture of ERV research progress and has highlighted the contribution of different stakeholders.

Optimization of energy storage systems for integration of renewable energy sources — A bibliometric analysis

This paper examined the research landscape on the applications of machine learning in finance (MLF) research based on the published documents on the topic indexed in the Scopus database from 2007 to 2021. Consequently, the publication trends on the published documents data were examined to determine the most prolific authors, institutions, countries, and funding bodies on the topic. Next, bibliometric analysis (BA) was employed to analyse and map co-authorship networks, keywords occurrences, and citations. Lastly, a systematic literature review was carried out to examine the scientific and technological developments in the field. The results showed that the number of published documents on MLF research has soared tremendously from 5 to 398 between 2007 and 2021, which signifies an enormous increase (~7,900%) in the subject area. The high productivity is partly ascribed to the research activities of the most research-active academic stakeholders namely Chihfong Tsai (National Central University in Taiwan) and Stanford University (United States). However, the National Natural Science Foundation of China (NSFC) is the most active funder in the United States and has the largest number of published documents. BA analysis revealed high collaboration rates, published documents, and citations among the stakeholders. Keywords occurrence analysis revealed that MLF research is a highly inter- and multidisciplinary area with numerous hotspots and themes ranging from systems, algorithms and techniques to the security and crime prevention in Finance using ML. Citation analysis, the most prominent (and by extension the most prestigious) source titles on MLF are IEEE Access, Expert Systems with Applications and ACM International Conference Proceedings Series (ACM-ICPS). The systematic literature review revealed the various areas and applications of MLF research, particularly in the areas of predictive/forecasting analytics, credit assessment and management, as well as supply chain, carbon trading, neural networks, and artificial intelligence, among others. It is expected that MLF research activities and their impact on the wider global society will continue to increase in the coming years

To conduct a bibliometric analysis, several researchers retrieve publications from Scopus or/and Web of Science (WOS) databases. When these scholars consider both Scopus and WOS databases, they mostly make two bibliometric analysis: one from Scopus database and the other from WOS database. A few researchers merge the two databases to conduct a single analysis, but they do not specify how they did it. This paper aims to advance the bibliometric analysis by addressing two points. First, this research claims that making a bibliometric analysis that takes information from Scopus or/and separately from WOS cannot give a broader view of knowledge and tendencies in a field. To prove this claim, we retrieve papers from Scopus and WOS databases to make a bibliometric analysis of sales force literature that covers from 1912 to 2019. Results show that there are many disparities between WOS and merged database, and between this latter and WOS database regarding bibliometric analyses, especially among primary productive authors, the most influential papers, and keyword occurrences. Second, this research proposes a four-step procedure that merges these two databases to allow more reliable bibliometric analyses. This procedure was explicitly shown by using the bibliometric analysis of sales force literature during 1912–2019.

PURPOSE: This paper aims to provide a comprehensive review of scholarly research focusing on using quantitative methods and particularly structural equation modeling (SEM) in management and economics studies, as well as provide a bibliometric agenda including the time horizon of individual publications, the highest citation rate, geographic and industry areas, methodological context, and keywords. METHODOLOGY: A systematic literature review (SLR) was undertaken using the Web of Science and Scopus databases. We limited our search to the last five years to identify the newest research publications, and we used keywords related to quantitative research while excluding qualitative research. Then we analyzed papers related to SEM and those published in English. FINDINGS: Our results confirmed that quantitative methods are used both in management and economics research, and showed a growing trend in the number of publications in the last five years. However, there are many more publications on management than on economics as well as there are more papers published in the Scopus database than Web of Science. Taking into account structural equation modeling, this method is used primarily in management research. In terms of industry, publications using SEM considered both single- and multi-industry including, first, all Asian countries and then African ones. Publications, especially in the management field, are descriptive in nature and based on primary data collected using a survey questionnaire. Papers are published in various journals and the most cited are those published in journals with wider subject areas. IMPLICATIONS: The systematic literature review is a fundamental necessity in any field of knowledge, benefiting both academia and learners. Our results may be useful for future researchers planning research using quantitative methods, especially SEM, in the business or economic field, by indicating the most cited papers and journals as well as industry and country areas. ORIGINALITY AND VALUE: This paper represents a systematic attempt to link quantitative methods, with a particular emphasis on SEM, with research interests on managerial and economic subjects and papers published in the Web of Science and Scopus databases. Employing the bibliometric analysis within the systematic literature review, the paper shows interest and the current state of research using quantitative methods which proves its value and originality.

This study aims to conduct a bibliometric analysis to determine trends and emerging research directions of sustainable aviation between 2001 and 2023. 726 studies indexed in the Web of Science were examined through VOSviewer software. Science mapping and performance analyses were implemented to demonstrate a systematic quantitative review and the characteristics of the research area. Moreover, by using co-occurrence of keywords, citation, bibliographic coupling, co-authorship, and co-citation analyses, the trends of the research area were revealed in detail. Findings indicated that the publications on sustainable aviation literature were mainly conducted between 2020 and 2023. Research areas of the publications were mainly on “engineering” and “energy fuels”. In terms of number of the publications, “International Journal of Sustainable Aviation Fuel” was the most productive source and Heyne was the most productive author. Co-occurrence analysis demonstrated that “sustainable aviation fuel” was the most frequently used keyword. Furthermore, sustainable aviation research has shifted in focus toward more challenging and technology-oriented research over time. Citation analysis indicated that the most cited author was Heyne, the most cited study was Ma et al.’s study on “Aviation biofuel from renewable resources: routes, opportunities and challenges” and the most cited sources was “Energy”. Among countries, the U.S.A was the most cited country and Chinese Academy of Sciences was the most cited organization. Bibliographic analysis showed that Heyne was the author with the highest connection strength. Co-authorship analysis demonstrated that Washington State University was the most collaborative organization. Finally, co-citation analysis of cited references indicated that fundamental subjects and related references were mainly sustainable aviation fuel, production of sustainable aviation fuel and its use in aviation studies. It is anticipated that results of this study would contribute to sustainable aviation research and ensure guidance and new perspectives for future research topics and directions on sustainable aviation.

The banking sector plays an indispensable role in the global economy by facilitating economic growth, providing financial services, and ensuring the stability of the financial system. The banking industry is one of the most dynamic sectors, where financial institutions are constantly striving to achieve a strategic advantage over their peers. One such effective strategy is mergers and acquisitions (M&A), where banks consolidate their operations through either a merger or an acquisition to achieve strategic objectives. The purpose of this paper is to undertake a review of mergers and acquisitions in the banking industry using bibliometric analysis to identify their technical reasons, significance, and effects and to offer thematic and methodological directions for further studies to move forward on the topic. Bibliometric analysis, including citation, bibliographic coupling, coauthorship, and co-occurrence analysis, was utilized to discover trends in and conduct descriptive analysis of articles. The study used keyword and reference search methods to discover 616 research articles from the Scopus database between 1994 and 2022. Publication trends, highly influential authors, leading nations, and top journals are addressed. Hence, the systematic review of the most cited articles has been performed significantly. The study summarizes the significance, effects, and performance evaluation of mergers and acquisitions in the banking sector using both bibliometric and systematic analysis, which will enable academicians and researchers to make significant contributions to future research directions on mergers and acquisitions in the banking sector.

PurposeOrganizational happiness has received exponential attention in recent years. To offer an over-view for future research gap, this article produces a comprehensive review by combining bibliometric analysis and interviews to key authors in the field. The main objective of this paper is to show the state of research regarding the environment in the management of happiness in organizations: the evolution of scientific activity, current trends in authorship, topics and future setting research agenda.Design/methodology/approachThe methodological process focuses on a mixed method. A systematic review of the relevant literature; bibliometric analysis and network mapping in the Web of Science and Scopus data-bases; bibliometric network analysis of authorship, citation and co-occurrence of key words in scientific publications.FindingsThe results reveal that happiness management is gaining importance and, moreover, more than half of the publications about happiness management are related to the environment in which the organizations are immersed. Therefore, the study provides some research directions and insists on role of environment to better understand the theoretical and practical perspectives. Likewise, bibliometric analysis and interviews allow to measure quality, impact, productivity and scientific evolution which are increasingly valued in order to identify the main concepts and topics that are considered key, drivers of research and those gaps that should be addressed in future research work for the conceptual framework of happiness management in organizations.Originality/valueConclusions are drawn that promoting corporate social responsibility strategies, aimed at fostering sustainability and care for the environment result in the well-being of organizations and the performance of their workers are highlighted.

Objective: The objective of this study is to investigate the growth and development of research on Environmental, Social, and Governance (ESG) factors using bibliometric analysis. The aim is to understand the publication trends in ESG research and identify influential authors, key themes, and opportunities for future studies. Theoretical Framework: The research is grounded in key bibliometric laws such as Bradford's law (journal productivity), Lotka's law (scientific productivity of authors), and Zipf's law (word frequency analysis). These laws form the basis of the study and provide a solid framework for understanding the evolution of ESG research. Method: This study adopts a bibliometric analysis approach, using data from the Web of Science and Scopus databases. A total of 699 articles from 345 journals and 1,574 authors were analyzed. Techniques like citation analysis, co-citation analysis, bibliographic coupling, and network analysis were employed to assess publication patterns and collaborations. Data was processed using R software and Bibliometrix. Results and Discussion: The results reveal a significant increase in ESG-related publications, particularly after 2013, with annual growth of 39.97%. The study identifies influential authors, such as Hebbe and Buallay, and explores the themes of sustainability, corporate social responsibility, and governance. In the discussion, the results are contextualized within the broader ESG framework, highlighting the role of ESG in corporate behavior and investment strategies. Research Implications: The study provides insights into how ESG research can inform policy-making and corporate decision-making. The findings highlight the importance of ESG factors in sustainable development and suggest future research avenues in areas like digital transformation, entrepreneurship, and innovation. Originality/Value: This study contributes to the literature by offering a comprehensive overview of ESG research, utilizing innovative bibliometric techniques to track its evolution. The originality lies in the use of multiple bibliometric laws to analyze ESG trends, making it valuable for researchers and practitioners looking to understand current and future directions in ESG.

Purpose The recent development in the scholarship of cause-related marketing (CRM) highlights the growing popularity of this field of research. CRM is one of the forms of communicating corporate social responsibility (CSR). Although CSR is being extensively studied as a field of research, researchers have made limited efforts to review the development and progression of CRM research. Being an embryonic research field, a deeper understanding of the current state of CRM research and future research propositions is required. This study aims to fill this gap by providing a bibliometric review of the CRM research published in the Web of Science (WoS) database. Design/methodology/approach A bibliometric literature review has been conducted of the papers published in WoS database to map the field of research in CRM. Various techniques, namely, citation analysis, co-citation analysis, co-authorship analysis, co-occurrence analysis and bibliographic coupling have been incorporated, and analysis has been provided. Findings The findings highlight the important themes and research areas focused by CRM researchers. The study throws light on the important research avenues present in the field of CRM. Originality/value The findings offer both academic and practical implications. The present study is a novel study exploring the scholarship of CRM using the bibliometric analysis technique.

Radiology as a pillar in AI-based COVID-19 research: Insights from a diverse bibliometric analysis.

This study aims to map out social manufacturing research and the distribution of social manufacturing research, which can be used as a reference for social manufacturing research. Various studies on social manufacturing have been carried out to explore various insights on social manufacturing in different domains. This study was conducted in 2021, and explored the social manufacturing literature using bibliometric analysis methods. The approach used in the bibliometric analysis is the citation analysis to see one article cited by another article, and the co-citation analysis approach to find two or more articles cited by one article. In this study, the data source used is from the Scopus database, with social manufacturing keyword. The results show the types of analysis that have been processed include co-authorship (authors, organizations, countries), citations (authors), and co-citations (sources, cited authors). This research still has limitations, because it use the Scopus database only, so for further research, it could be added with other sources, such as Web of Science, PubMed, Crossref, etc. In addition, there are still many visualization results using VOSviewer software that could be explored further, such as the type of analysis citation-document, citation-organization, bibliographic coupling, which has not been discussed in this study.

PurposeThere has been a great deal of exploratory, conceptual and empirical research on digital financial literacy (DFL) in the fields of finance, economics, business and management. But up until now, there has not been any attempt to provide a thorough scientific mapping of the area. Therefore, by combining various knowledge systems, this study seeks to identify the current research trend.Design/methodology/approachA sample of 158 papers was subjected to bibliometric analysis in the areas of DFL or digital finance. Assembling, organising and evaluating are the three phases that make up the bibliometric analysis process derived from the most dependable and genuine sources, the Scopus database, and the Web of Science (WoS) database. This study was done using a scientific search technique on the Scopus and WoS databases for the years 2015 through 2022. The study made use of Biblioshiny, a web-based tool created in R-studio and part of the Bibliometrix package. Prominent journals, authors, nations, articles and themes were identified with the use of the software's automated workflow. “Citation, co-citation, and social network analysis” were also carried out.FindingsThe study' outcomes indicate that, as an interdisciplinary discipline, the themes of digital finance have changed throughout time. Researchers first concentrated on socioeconomic and demographic variables, but over time the subject expanded to include themes like influencing, promoting, and behavioural factors that affect digital financial literacy (DFL). This research shows the conceptual framework of the area in addition to its intellectual and social structure. This study offers crucial insights into subjects that demand more research.Research limitations/implicationsSince the current study is a bibliometric analysis, the usual restrictions on such studies apply. A meta-analysis, a thorough literature review and other methods would be beneficial for future researchers to develop a solid conceptual framework. This current research work's science mapping is restricted to the Scopus and WoS databases because this research includes more high-quality articles and has organised formats that work with the Bibliometrix application.Practical implicationsPresent research provides critical insights into saving behaviour, retirement planning, digital finance and the interdependence of these. This research highlights the most prevalent problems in the field and points in the direction of potential areas for further study. Exposing the social and intellectual structure of the domain educates upcoming scholars about the themes, contexts and opportunities for collaboration in this field.Social implicationsThe study will be useful for future learning as the study gives broad exposure to the current literature in the field of digital finance. On the other hand, people will also grow aware of the effects of digital finance and make the proper choices as a result. Additionally, the report might offer crucial insights for developing policies on digital finance and literacy.Originality/valueIn the past, a significant number of conceptual and empirical studies were conducted internationally in the research fields of economics, finance, business, management and consumer behaviour. This research makes a significant addition by bringing together disparate literature in the field, highlighting reliable sources, authors and documents, and examining the relationship between digital finance, saving behaviour and retirement planning.

The development of computer technology has revolutionized how people live and interact in society. The Internet of Things (IoT) has enabled the development of the Internet of Medical Things (IoMT) to transform healthcare delivery. Artificial intelligence has been used to improve the IoMT. Despite the significance of bibliometric analysis in a research area, to the best of the authors' knowledge, based on searches conducted in academic databases, no bibliometric analysis on artificial intelligence (AI) for the IoMT has been conducted. To address this gap, this study proposes performing a comprehensive bibliometric analysis of AI applications in the IoMT. A bibliometric analysis of top literature sources, main disciplines, countries, prolific authors, trending topics, authorship, citations, author-keywords, and co-keywords was conducted. In addition, the structural development of AI in the IoMT highlights its growing popularity. This study found that security and privacy issues are serious concerns hindering the massive adoption of the IoMT. Future research directions on the IoMT, including perspectives on artificial general intelligence, generative artificial intelligence, and explainable artificial intelligence, have been outlined and discussed.

Purpose Many companies invest in artificial intelligence (AI) chatbots to create new-age interactive platforms for consumers to achieve business goals. The research on AI chatbots from a marketing perspective is scant and scattered across the sectors. This paper aims to analyse extant research on AI chatbots in the marketing context, providing insights on leading work, journals, institutions, authors, trends and future research directions. Design/methodology/approach This study used the Scopus database to identify 242 articles published between 1996 and 2023 on AI chatbots in the area of business management and decision sciences. This bibliometric analysis used VOS viewer software to analyse the publication and citation structure, co-authorship, collaboration network of institutions and countries, keyword co-occurrence and bibliographic coupling. Findings The study provides valuable insights from the most cited articles, shedding light on their contribution to AI chatbot research in the marketing area. It also highlighted the publication trends, notable authors, journals and bibliographic analyses to identify key trends in AI chatbot-oriented marketing. The result reveals that consumer-oriented chatbot research is presently focused on understanding consumer perception of chatbots. Consumer chatbot experience and engagement are future research areas for AI chatbots in the marketing domain. The bibliometric analysis unveils that research on AI chatbot role in marketing is currently in nascent stages and there is limited intellectual exchange to understand the consumer intention toward chatbot use. Research limitations/implications This study not only provides a comprehensive overview of AI chatbot research in marketing during the past 27 years but also suggests future opportunities for researchers to work on AI chatbots in a marketing context. To further enhance the comprehensiveness of data collection, it is recommended to include another source like the Web of Science, which is among the largest research databases. Originality/value The research contributes significantly to the study of the extant research on AI chatbots in marketing from the Scopus database for the period from 1996 to 2023. This is probably the most comprehensive bibliometric analysis conducted to understand the status of research on AI chatbots and identify trends and future research directions. This research helps in coordinating intellectual networks among institutions, authors and countries.