Bibliometric Network Research Articles

Implementation of Chatbot Technology in Health Care: Protocol for a Bibliometric Analysis.

Chatbots have the potential to increase people's access to quality health care. However, the implementation of chatbot technology in the health care system is unclear due to the scarce analysis of publications on the adoption of chatbot in health and medical settings. This paper presents a protocol of a bibliometric analysis aimed at offering the public insights into the current state and emerging trends in research related to the use of chatbot technology for promoting health. In this bibliometric analysis, we will select published papers from the databases of CINAHL, IEEE Xplore, PubMed, Scopus, and Web of Science that pertain to chatbot technology and its applications in health care. Our search strategy includes keywords such as "chatbot," "virtual agent," "virtual assistant," "conversational agent," "conversational AI," "interactive agent," "health," and "healthcare." Five researchers who are AI engineers and clinicians will independently review the titles and abstracts of selected papers to determine their eligibility for a full-text review. The corresponding author (ZN) will serve as a mediator to address any discrepancies and disputes among the 5 reviewers. Our analysis will encompass various publication patterns of chatbot research, including the number of annual publications, their geographic or institutional distribution, and the number of annual grants supporting chatbot research, and further summarize the methodologies used in the development of health-related chatbots, along with their features and applications in health care settings. Software tool VOSViewer (version 1.6.19; Leiden University) will be used to construct and visualize bibliometric networks. The preparation for the bibliometric analysis began on December 3, 2021, when the research team started the process of familiarizing themselves with the software tools that may be used in this analysis, VOSViewer and CiteSpace, during which they consulted 3 librarians at the Yale University regarding search terms and tentative results. Tentative searches on the aforementioned databases yielded a total of 2340 papers. The official search phase started on July 27, 2023. Our goal is to complete the screening of papers and the analysis by February 15, 2024. Artificial intelligence chatbots, such as ChatGPT (OpenAI Inc), have sparked numerous discussions within the health care industry regarding their impact on human health. Chatbot technology holds substantial promise for advancing health care systems worldwide. However, developing a sophisticated chatbot capable of precise interaction with health care consumers, delivering personalized care, and providing accurate health-related information and knowledge remain considerable challenges. This bibliometric analysis seeks to fill the knowledge gap in the existing literature on health-related chatbots, entailing their applications, the software used in their development, and their preferred functionalities among users. PRR1-10.2196/54349.

Knowledge mapping of anaplastic thyroid cancer treatments: a bibliometric analysis (2000-2023).

Anaplastic thyroid cancer (ATC) is a relatively rare and extensively malignant kind of thyroid carcinoma. The poor prognosis and high mortality rate of ATC can be attributed to its invasive features and undifferentiated phenotype. At present, there is a lack of efficacious therapeutic options. In light of the elevated fatality rate, it is vital to possess a comprehensive comprehension of the scientific terrain pertaining to ATC. To gather the perspectives of different researchers about the topic of ATC treatment, we did a bibliometric network analysis, which offers a comprehensive view of the scholarly literature. A systematic search was conducted on the WoSCC database to identify publications pertaining to ATC treatment between the years 2000 and 2023. In this bibliometric investigation, the tools VOSviewers, CiteSpace, and the R package "bibliometrix" were employed to investigate the general attributes, developmental framework, and academic frontiers of the subject matter. 1223 publications in total, written by 6937 scholars from 53 areas and 1402 institutions and published in 358 scholarly journals, were analyzed. There has been a gradual increase in the quantity of publications pertaining to ATC treatment. The United States and China emerged as the most prominent nations. The University of Texas MD Anderson Cancer Center and Memorial Sloan Kettering Cancer Counseling Center are prominent research institutions in highly productive countries. The journal Thyroid holds a prominent position within its discipline, being widely recognized as both the most popular and highly co-cited publication. According to the available data, Maria Cabanillas has authored the highest number of published articles, while RC Smallridge has received the highest number of co-citations. It turned out that the prevailing keywords encompassed expression, therapy, apoptosis, survival, activation, proliferation, metastasis, and other related terms. Immunotherapy, targeted therapy, and prognostic factors are the emerging research hotspots and trends. This paper presents a complete overview of research trends and advancements in the treatment of ATC using bibliometric analysis. The acquisition of information will offer vital insights for funding and potential creative strategies in researching the treatment of ATC, which indicates the research frontiers as well as prevalent directions in recent years.

Bibliometric analysis of leadership implementation in MSMEs

The purpose of this study is to analyze the development of research publications on leadership implementation in MSMEs over the last five years. This research used a bibliometric analysis approach with VOSviewer software to develop and visualize the bibliometric network. This research conducted screening based on leadership keywords in MSMEs in the SCOPUS database in the vulnerable years 2018-2023. Publications according to keywords initially amounted to 90 articles, after which 33 articles were filtered. The development of leadership publications in MSMEs in the last 5 years has experienced ups and downs in the number of publications per year, with an increasing trend occurring in 2023, when there were many publications in the field of business, management and accounting, with 33 documents (47.8%). The results of the analysis with VOSviewer and visualization of co-occurrence networks based on leadership keywords in MSMEs revealed 174 items with a division of 12 clusters marked with different colors. The interrelated factors include entrepreneurial leadership, entrepreneurship, entrepreneurial motivation, quality management, digital transformation, competition, and others. The results of the analysis using the VOSviewer application show that there is a relationship between leadership and MSMEs with other networks; thus, additional research could be interesting.

Bibliometric analysis of employee organizational culture

The purpose of this study is to analyze the growth of research publications on organizational employee culture using the SCOPUS online database. This research used a bibliometric analysis approach with VOSviewer software to develop and visualize the bibliometric network. This research conducted a screening based on the keywords “organizational culture” in the SCOPUS database for the vulnerable years 2018-2023. Publications according to keywords initially amounted to 11,059 articles, after which 216 articles were filtered. The development of organizational culture publications in the last 5 years has led to an increase in the number of publications per year, with an increase in 2023; these publications were published in the field of business, management and accounting, with 147 documents (48.8%). The results of the analysis with VOSviewer and the visualization of co-occurrence networks based on the keyword “employee organizational culture” revealed 29 items with a division of 5 clusters marked with different colors. The interrelated factors include motivation, performance, employee, learning, organizational innovation, job satisfaction, job performance, knowledge management, organizational culture, and employee engagement. The results of the analysis using the VOSviewer application show that there is a relationship between employee organizational culture and other networks; thus, additional research could be interesting.

Gamification in Online Education: A Visual Bibliometric Network Analysis

This study applies bibliometric and network analysis methods to map the literature-based landscape of gamification in online distance learning. Two thousand four hundred and nineteen publications between 2000 and 2023 from the Scopus database were analyzed. Leading journals, influential articles, and the most critical topics on gamification in online training were identified. The co-authors’ analysis demonstrates a considerable rise in the number of nations evaluating research subjects, indicating increasing international cooperation. The main contributors are the United States, the United Kingdom, China, Spain, and Canada. The co-occurrence network analysis of keywords revealed six distinct research clusters: (i) the implementation of gamification in various learning contexts, (ii) investigating the application of gamification in student education to promote the use of electronic learning, (iii) utilizing artificial intelligence tools in online learning, (iv) exploring educational technologies, (v) developing strategies for creating a playful learning environment, and (vi) understanding children’s learning processes. Finally, an analysis of the most cited articles identified three research themes: (a) gamification-based learning platforms, (b) measurement of users’ appreciation and satisfaction, and (c) 3D virtual immersive learning environments. This study contributes to the subject discipline by informing researchers about the latest research trends in online education gamification and identifying promising research directions.

Modeling of Machine Learning-Based Extreme Value Theory in Stock Investment Risk Prediction: A Systematic Literature Review.

The stock market is heavily influenced by global sentiment, which is full of uncertainty and is characterized by extreme values and linear and nonlinear variables. High-frequency data generally refer to data that are collected at a very fast rate based on days, hours, minutes, and even seconds. Stock prices fluctuate rapidly and even at extremes along with changes in the variables that affect stock fluctuations. Research on investment risk estimation in the stock market that can identify extreme values is nonlinear, reliable in multivariate cases, and uses high-frequency data that are very important. The extreme value theory (EVT) approach can detect extreme values. This method is reliable in univariate cases and very complicated in multivariate cases. The purpose of this research was to collect, characterize, and analyze the investment risk estimation literature to identify research gaps. The literature used was selected by applying the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and sourced from Sciencedirect.com and Scopus databases. A total of 1107 articles were produced from the search at the identification stage, reduced to 236 in the eligibility stage, and 90 articles in the included studies set. The bibliometric networks were visualized using the VOSviewer software, and the main keyword used as the search criteria is "VaR." The visualization showed that EVT, the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models, and historical simulation are models often used to estimate the investment risk; the application of the machine learning (ML)-based investment risk estimation model is low. There has been no research using a combination of EVT and ML to estimate the investment risk. The results showed that the hybrid model produced better Value-at-Risk (VaR) accuracy under uncertainty and nonlinear conditions. Generally, models only use daily return data as model input. Based on research gaps, a hybrid model framework for estimating risk measures is proposed using a combination of EVT and ML, using multivariable and high-frequency data to identify extreme values in the distribution of data. The goal is to produce an accurate and flexible estimated risk value against extreme changes and shocks in the stock market. Mathematics Subject Classification: 60G25; 62M20; 6245; 62P05; 91G70.

Exploring the nexus of RFID and industry 4.0: Bibliometric analysis to investigate the strategic themes and thematic evolution

Purpose: This article aims to identify themes associated with RFID technologies (Radio Frequency Identification) and industry 4.0. Using key articles from the database developed for this study, the main themes underlying key technology features and their relationships will be uncovered.Design/methodology/approach: Systematic quantitative literature review is conducted to uncover hidden relationships between RFID and industry 4.0. The research methodology encompasses a systematic analysis of pertinent literature and resources, employing a structured approach to identify and categorize crucial topics and keywords that constitute the basis for our exploration. Subsequently, we delve into the relationships within these identified dimensions, aiming to synthesize a holistic interpretation of the connections between RFID and Industry 4.0.Findings: Through our rigorous analytical process, we have unveiled significant attributes embedded within the three delineated dimensions. These findings contribute to our capacity to construct a synoptic depiction that encapsulates all relevant associations between RFID technology and the Industry 4.0 paradigm. The synthesis of relationships between Radio Frequency Identification (RFID) technology and the Industry 4.0 framework, derived from our analysis of pivotal dimensions and keywords, offers a profound insight into the intricate interplay between these domains. As industries continue to evolve in the wake of technological advancements, this study contributes to the foundation of knowledge necessary to navigate the dynamic landscape of modern industrial systems.Research limitations/implications: Bibliometric network analysis offers a systematic approach to literature review, aiding researchers in identifying seminal works, influential authors, and emerging trends within a field. By visualizing the relationships between authors, journals, and keywords, bibliometric network analysis facilitates the mapping of academic disciplines, enabling researchers to comprehend the intellectual landscape. Network analysis highlights potential collaboration opportunities by revealing clusters of authors or institutions with closely related research interests and specific works related industry 4.0 and RFID, wans’t found, however, being a potential limitation, it proved to be a way to maintain the originality and necessity of this work we are presenting.Practical implications: The practical employs bibliometric research to explore the synergy between Industry 4.0 and Radio Frequency Identification (RFID), aiming to provide a comprehensive understanding and practical applicability of these interconnected themes. The study's findings offer practical implications such as facilitating technology integration, optimizing operations, guiding investment decisions, fostering collaborations, informing policy-making, supporting professional development, and enabling knowledge dissemination. These insights underscore the tangible real-world impact of academic research in enhancing industry practices and driving innovation within the context of Industry 4.0 and RFID integration.Originality/value: This study stands as one of the pioneering works to delineate the themes linked with both Radio Frequency Identification (RFID) technologies and the Industry 4.0 paradigm.

Supply Chain Innovation Research Trends: A Bibliometric Network Analysis

In a fast-changing business world where everything is connected, supply chain innovation has become important for organisational success and competitive advantage. This study uses bibliometric network analysis to explore important aspects of supply chain innovation. It focuses on four areas: the impact of pandemics on supply chains, the use of blockchain in supply chain management, the role of information and communication technologies (ICTs) in logistics services, and how short supply chains contribute to climate agriculture and food security. The analysis uncovers trends and research topics within these domains while identifying knowledge gaps. The findings emphasise the role of supply chain innovation in addressing challenges. The substantial increase in research on related supply chains after the COVID-19 outbreak underscores the need for strategies and resilience. The study recognises technology as a tool for enhancing supply chain transparency, traceability, and security. It also highlights ICTs' role in improving logistics services' efficiency, accuracy, and customer satisfaction. Furthermore, it identifies short supply chains to support climate agriculture practices and ensure food security. This research provides insights for researchers, practitioners, and policymakers alike, paving the way for studies and innovations in the ever-evolving field of supply chain management.

The current state of published literature on halal tourism and hospitality: a bibliometric review

PurposeThis study aims to present the current state of published literature concerning halal tourism and hospitality studies.Design/methodology/approachThis research discovered 314 Scopus documents from 2003 until 2023 regarding existing studies related to this field. The present study then used a bibliometric analysis of this data set. The present research analysed the documents' bibliographical data based on year, source title, country of origin, institution, authors, keywords and citations. Microsoft Excel, bibliometrix, Harzing's Publish or Perish and VOSviewer software applications were used to conduct a frequency analysis, evaluate the impact and map bibliometric networks regarding halal hospitality. This study has presented the evolution of publications in the research field by year, the top players in source titles, countries, institutions and authors. This paper also evaluated the intellectual structure of existing research concerning halal tourism and hospitality and presented the most influential documents in this field. There were 112.21 citations per year, 7.21 per paper and 3.14 authors per paper.FindingsThe findings revealed that the study trend concerning halal tourism and hospitality had attracted the attention of academics and developed into a significant field in 2016. Malaysia and Indonesia have been the major contributors to halal hospitality research, with the highest proportion of authors.Research limitations/implicationsIn general, this study also has limitations similar to other studies. The research data were derived solely from the Scopus database, which has the advantage of being the most comprehensive database indexing all scientific works, even though it does not easily cover all available sources.Originality/valueThe present research has differed from previous research in that it examined literature published in Scopus concerning research on halal hospitality from 2003 to 2022. It analysed bibliographic data by year, source title, country, institution, author, keywords and citations.

Corporate social responsibility and earnings management: The future research direction

A bibliometric analysis of the literature (Zupic & Cater, 2015) was carried out to analyze the trends and conclusions of studies on earnings management and corporate social responsibility (CSR). This study examined 177 Scopus-indexed papers published between 2008 and 2022. R-Biblioshiny was then used to process the data and create a citation matrix and bibliometric network that could be visualized and interpreted. VOSviewer and further investigations were also conducted. The results of the data analysis show a drastic uptrend in the studies on CSR and earnings management over the years. The data also revealed Spain as the most influential nation, and Corporate Social Responsibility and Environmental Management as the journal with the strongest influence. An article with 845 citations was published in the Accounting Review journal based on the Co-Occurrence Network. In 2019, the focus of the research was on “corporate governance”, “investor protection”, and “financial performance”, whereas in 2021, “stakeholder theory” and “board diversity” were important buzzwords. Kim Y., Park M. S., and Wier B. are the most cited authors for co-citation analysis. This study also showed Martinez Ferrero J. as the most influential author. The results of this study provide insights into the future roadmap of studies on CSR and earnings management.

BIBLIOMETRIC ANALYSIS OF RESEARCH ON PUBLIC ADMINISTRATION REFORM

This article complements the initial studies based on bibliometric analysis. The relevance of biblio-metric analysis is the study of a large amount of data in scientific research. The purpose of the study is to conduct a bibliometric analysis to determine the state of research toward reforming public administra-tion and future areas of research and mapping.In our research strategy, 151 articles were selected on the reforms carried out in the civil service in 1991-2023. With VOSviewer software, bibliometric networks were created and visualized. The biblio-metric analysis of the study used the Scopus academic base to reform the public administration system. The conclusions of these studies were drawn and presented in this article providing an opportunity for further understanding of the systematic development of the study.The success of the study informed the dynamics of research development in the public administra-tion system. The best articles, publications, and studies of the most cited authors and organizations on the management of the state system are identified, and they contribute to the scientific literature, de-scribing its current state. In studies using bibliometric analysis, elements of transparency and productivity have been identi-fied that can be used in public administration and e-government reforms. In addition, the study demon-strated the experience of developing public system management reforms in peer-reviewed publications around the world. In Kazakhstan, these studies have been intensively conducted since 2020, while in developed countries such as the United States and the United Kingdom, a high rate of use has been observed since 2010.

A bibliometric analysis: Corporate social responsibility and firm value

This literature review was conducted in the form of a bibliometric analysis (Zupic & Čater, 2015) to examine the trends and findings of studies on corporate social responsibility (CSR) and firm value. There were 269 Scopus-indexed publications published between 2007 and 2023 analyzed in this study, then processed with R Biblioshiny to generate and visualize the citation matrix and bibliometric network. VOSviewer and additional analysis were also undertaken. The trend of publications on CSR and business value has significantly increased every year, especially in 2022, where 54 publications were made, hitting an annual publication growth rate of 10.58 percent. The results of the review revealed the USA as the most influential nation, and the Journal of Business Ethics as the journal with the strongest influence. An article with 989 citations was published in the Management Science journal written by Lee S., making it the most influential article. Based on the co-occurrence network, the intensity of research on the relationship between CSR and firm value has increased between 2017 and 2021. Jo H. appeared as the most frequently cited author in this field based on co-citation and the USA and Canada were the top two countries in terms of collaboration among countries. This study provides useful insights for future CSR and business value studies. This research is very important for researchers studying CSR and firm value literature. In particular, the findings allow new researchers to quickly identify the theoretical underpinnings, as the leading researchers and documents identified in this study provide an entry point for new researchers.

Study of global trends in economic protection of enterprises: bibliometric analysis, graphic visualization and forecasting

Introduction. In order to ensure the operation of the system of economic protection of the enterprise in the conditions of military aggression of the Russian Federation, a full-scale invasion of the territory of Ukraine and martial law, the article emphasizes the need to study the theoretical foundations of the problem. Purpose. The article conducts a study of global trends in economic protection of the enterprise, using means of bibliometric analysis, formation of bibliometric networks, economic and mathematical methods of forecasting, means of comparison and graphical visualization of the obtained results. Method (methodology). To achieve these goals, bibliometric analysis of the Scopus database, correlation-regression analysis and forecasting based on a trend model using MS Excel were used. Visualization of the bibliometric analysis was implemented using the VOSviewer and an online service designed for the construction of the Sankey diagram. Results. According to the results of the bibliometric analysis from 1943 to 2024 (March 2024), 3 230 publications were found in the Scopus database, the significant growth of which occurred in 2001-2024. The predicted value for 2025-2040 using regression models is 6 504 publications, which in twice their total number in the studied period. In the process of analysis, the 16 387 keywords identified in the publications were summarized in 7 clusters by the VOSviewer. Among them, such keywords as: Environmental protection dominate; Economic development; Environmental economics and management, regulation, policy; Sustainable development; Pollution (environmental pollution, pollution control), etc. The received keywords were structured according to thematic direction and total link strength. As a result of expert analysis and grouping, 6 aspects were obtained (Economic aspect, Environmental aspect, Aspect of natural resources, Governmental aspect, Industrial aspect, Instrumental aspect), of which the most popular is Environmental aspect (24 329 keywords or 35,22%), which involves the study of enterprise protection technologies, environmental economics, policy, etc.

A systemic framework for Enterprise Resource Planning systems: A bibliometric networking analysis

Enterprise Resource Planning (ERP) systems have been considered by numerous organizations as a key part of their strategy to support the optimization of their processes and enhancement of their business performance. However, managing business processes through ERP systems and their integration with other systems and data sources is complicated. Part of this difficulty comes from the lack that managers, executives, and implementers have of an integrated and holistic view of ERP systems. This article presents a systemic framework for ERP systems based on many publications as a data sources. It derives from a bibliometric network analysis previously made based on a systematic literature review on ERP major concerns. The methodology used to do the systematic literature review was PRISMA 2020, and the software used to do the bibliometric networking analysis was VOSViewer. The bibliometric analysis was based on the network built based on the previous systematic review and on the clusters that emerged from it. Fifty-nine terms with the highest occurrence were chosen to support six clusters that were found. The data obtained from the bibliometric map, specifically the meaning of each identified cluster, was analysed. These clusters were used as the pillars of the systemic framework proposal. The clusters were used as core areas of the ERP systems field, respectively: (1) infrastructure & technology, (2) leadership & people, (3) processes & performance, (4) implementation & adoption, (5) supplier & implementer, and (6) enterprise & application architecture. The six different clusters and their main relationships were analysed and discussed.

Networks and innovation: enhancing the knowledge through a bibliometric network analysis

Networks and innovation: enhancing the knowledge through a bibliometric network analysis

Networks and innovation: enhancing the knowledge through a bibliometric network analysis

Networks and innovation: enhancing the knowledge through a bibliometric network analysis

Top 100 most-cited papers on diabetes mellitus in Dentistry: a bibliometric study.

This study assessed the features of the 100 most-cited papers on diabetes mellitus (DM) in dentistry using bibliometric measures. A search of the most cited papers on DM using journals included in the category "Dentistry, Oral Surgery and Medicine" in the Web of Science database up to January 2023 was performed. The complete bibliographic records of the selected papers were exported in plain text or Research Information Systems (RIS) file format. The following bibliometric indicators were collected: title, year, authors, number of citations, mean number of citations, institution, country, continent, study design, journal, impact factor, and keywords. Graphical bibliometric networks were created using the VOSviewer software. The number of citations for the 100 most-cited papers in DM research ranged from 111 to 566. Six papers each had more than 400 citations. Most were observational studies (n = 50) from the United States (USA) (n = 23) and were published in the Journal of Periodontology (30%; n=30). Robert Genco was the most cited author and contributed the most to the top 100 articles (3,653 citations; n = 13). The VOSviewer map of co-authorship showed the existence of clusters in research collaboration. The most prolific institutions were the Universities of Buffalo and Michigan (n = 6 each). "Diabetes mellitus" was the most frequent keyword, with 31 occurrences. In conclusion, the most cited studies that investigated the relationship between dentistry and DM were in periodontology. Observational studies, primarily from the USA, have been the most cited thus far.

A Bibliometric Analysis of Most Cited Papers on Vesiculobullous Oral Lesions.

A well-known method for quantitatively evaluating scholarly work is bibliometric analysis. Best-cited papers raise awareness of the influential publications and patterns in the literature on a specific subject. The aim was to conduct bibliometric analysis to determine most cited articles on vesiculobullous oral lesions. This is the first study on citation analysis with respect to vesiculobullous oral lesions. A retrospective data search was explored on December 2022 using the Scopus database. The articles were evaluated, and fundamental data for bibliometric analysis was reviewed. Standard details about the author, linked organizations, publishing year, and place of origin were noted. Statistical analysis was performed using Chi-square analysis. VOSviewer software was used to determine the bibliometric network analysis for co-occurrence among coauthors and commonly used keywords. A total of 344 articles published from 1971 to 2022 were included in the study. A total of 6680 citations and 19.41 citations per article were observed. The journal Archives of Dermatology received the most citation. There was a significant association between the number of citations and the journal type (open access vs. non-open access) (P < 0.05). Four to five highly related clusters with the help of VOSviewer software were found during co-occurrence network analysis. The top 10 articles on vesiculobullous oral lesions that received the most citations were listed in detail in the present study. This will be a valuable resource for academics, clinicians, and researchers in the fields of dermatology, general pathology, oral pathology, and oral medicine.

Assessing the impact of emerging technologies on sustainable fruit production: A systematic review of the literature

Agriculture 4.0 refers to innovations in technological tools used in agriculture to achieve different objectives, such as adapting the supply chain to avoid waste, increasing productivity and collecting mass data through ICT (Information and Communication Technologies) to meet the growing food demand of the population. The objective of this study is to conduct a systematic literature review to evaluate the impact of emerging technologies on sustainable fruit production. Initially, a bibliographic search was conducted on the technologies currently implemented in agriculture; the Bibliometrix library of the R Studio software was used, and then an analysis of relevant scientific publications published in the last ten years was carried out through the VOSviewer® software, which allowed the construction and visualization of bibliometric networks. The results show Europe and China as the leading regions in technological development, while developing countries face economic and research limitations; in Colombia, the use of Agriculture 4.0 is focused on the implementation of satellite images for monitoring agro-climatic conditions. In summary, Agriculture 4.0 aims to achieve economic, social, and environmental sustainability in the agri-food sector through data-generating technologies to improve production, reduce costs, and ensure food safety and quality. However, there is a technology gap between developed and developing countries that affects the adoption of these innovations. More support is therefore needed from governments, academia, and the private sector to drive innovation, training, and adoption of these technologies, which can contribute to the economic, social, and environmental development of the country.

Big Data, Machine Learning, Artificial Intelligence and Blockchain in Corporate Governance

The paper analyses the dynamics of scientific research in, and practical application of key Industry 4.0 technologies in corporate governance, namely big data, artificial intelligence, machine learning, and blockchain. The contribution of specific authors, citation, and collaboration networks are assessed, along with that of individual countries and research organisations. A bibliometric network analysis of publications indexed in the Scopus and OpenAlex databases for 2011–2022 revealed a steady increase in the number of publications on the topic under consideration, and therefore a growing interest in it. The use of the abovementioned technologies in corporate governance is expected to lead to increased performance and transparency, and improved cybersecurity. The authors provide recommendations for various groups of users to maximise the potential of Industry 4.0 technologies for businesses, and the overall economy.