A bibliometric study of 510 enterprise risk management (ERM) papers from the Web of Science Core Collection (WOS-CC) database from 2004 to 2023 is presented in this article. The study's main goal was to give a bibliometric overview of ERM research, focusing on annual publications, references, journals, authors, author affiliations, and nations. Each article's author, document type, publication year, source, volume, edition, pages, number of citations, and references were obtained from WOS in BibTex format. To help the research, Biblioshiny evaluated this data. The survey indicated that ERM research has increased fast over the previous two decades, with a consistent upward trend and increasing pace in the past five years. "What's wrong with risk matrices?" by Cox, LA (2008) was the most cited publication in this topic, and the Journal of Risk and Financial Management was the most influential journal. David L. Olson of the University of Nebraska Lincoln was the most prolific author, and UNL was the premier research institution in this area, according to the survey. ERM research was heavily influenced by the US and several other countries. To further ERM research, the paper recommends international collaboration. More research can refine the identification of ERM research hotspots and emerging trends, according to the report.

Quality management has become inevitable and ubiquitous in higher education, especially given the increasing competition in both industry and professional orientation. To date, there has been no broad consensus about the trends and determinants in this field despite research existing for several decades now. Experts disagree on the use and impact of quality management systems in higher education, and there is a considerable geographical disparity in terms of the progress made in the field. In this article, a bibliometric analysis consisting of data from 966 articles from the Web of Science database (scanned extant literature) was to identify the most pertinent papers, sources, authors, countries, publication dynamics, and themes. It reveals a comprehensive quality management assessment in higher education. It also revealed the most prominent role of service-quality leadership in current research and quality culture, training, performance, and improvement techniques as the areas relevant for future research. Several countries need to refocus their effort on improvement in quality training and the impact of quality management in the higher education context.

The purpose of this paper is to conduct a bibliometric analysis to analyze trends and patterns of outsourcing and supply chain research results using statistical and co-word analysis. The search results in the Scopus database yielded 787 relevant documents with the keywords outsourcing and supply chain from 1997 to early 2022. The results of the bibliometric analysis resulted in the number of publications, citations, subject areas, country, keywords, and topic clusters. The trend of outsourcing and supply chain research tends to increase every year although it had a significant decline in 2011. The documents with the most citations are related to supplier selection using analytical network processes, optimization of outsourcing partners, and ICT in the supply chain. The four fields that dominate the research area are business management, engineering, decision science, and computer science. The United States of America is the most productive country with the most citations. There are four cluster topics formed: the importance of supply chain management in outsourcing in industry and ICT in company activities, the impact of supply chain on business performance and outsourcing decisions, logistics outsourcing decisions to third parties and their effectiveness, lastly the benefit costs of outsourcing and the implications for product management. This paper provides an additional updated overview of the outsourcing and supply chain research map.

Supply Chain Finance (SCF) is playing an increasingly important role in operational and financial practices and attracted growing attention from academia and industry alike. However, researchers have not yet been totally able to reach a consensus on the definition of this phenomenon. The study presented in the paper provides an overview of the advancements present in research on Financial Supply Chain Management. Using a bibliometric analysis approach, the paper summarizes the trends of development and the status quo of the Financial Supply Chain Management. The aim is to provide the reader with guidance and a solid conceptual framework for future research.

In this study, we attempted to conduct a comprehensive review of the existing and pertinent literature on the topic of factor investment. We performed Scientometric analysis of studies published in reputable finance journals, i.e., The Journal of Portfolio Management, The Financial Analysts Journal, The Journal of Asset Management and others, during the years 2014 to 2023. To obtain the research data for our study, we gathered and examined a collection of 76 bibliographic records sourced from the Web of Science database. This database provided a comprehensive and reliable source of scholarly publications in the field of finance. To analyze the data, we employed Scientometric networks as part of our analytical approach. Scientometric networks allowed us to explore the relationships and connections between different publications, authors, and keywords within the domain of factor investment. To visualize and present the research findings, we utilized the Bibliometrix package for R, a powerful tool specifically designed for bibliometric analysis. This package enabled us to generate insightful visualizations that showcased the key patterns, trends, and interconnections within the literature on factor investment. By employing Scientometric analysis and leveraging the capabilities of the Bibliometrix package, we aimed to provide a comprehensive overview of the existing scholarly research in this field and contribute to the understanding of factor investment.

This research aims to understand how farmers, especially those with limited technological knowledge, utilize social media in their agricultural activities. The study also aims to identify the impact and responses of farmers to the use of social media in their agricultural practices. Additionally, the research discusses a conceptual framework that integrates internal and external factors in understanding social media user behavior. The research methodology employed is a systematic literature review using scientometric analysis. Bibliometric approaches, machine learning, and social network analysis are utilized to achieve research objectives. Data were obtained from the Scopus database, consisting of high-quality articles published between 2011 and 2023.The findings indicate that social media plays a significant role in influencing farmers' responses to the information they receive and their levels of trust, subsequently affecting their willingness to adopt smart agricultural technologies. Furthermore, the research highlights internal and external factors influencing social media user behavior in the agricultural context. The novelty of this research lies in its holistic approach that integrates cognitive and behavioral factors in understanding social media user behavior. Additionally, the study complements previous literature by addressing antecedents, mechanisms, and consequences of social media use by farmers, as well as identifying barriers they face in leveraging social media.

Systematic literature review in supply chain and decision support system, in general, have been rapidly performed during the last decade. However, the studies on the epistemological progress of decision support system related to the supply chain are still lacking. This study intended to provide comprehensive information on the trends, methodologies and the applications on different sectors and platforms used by scientists for building their decision support systems in supply chain. We used different keywords to collect the raw data based on articles published in well-known journals in the world to select the eligible studies which furthermore assembled. The data were processed by using bibliometric tool in VOSviewer and Microsoft Excel. The results of this systematic review give some key learning of the trends on the use of decision support system on smoothing the flow of supply chain and the logistic performance in the last decade and also provide a background for future research related to the fields.

The purpose of the current paper is to identify influential aspects of published literature and future research questions to set forth future research agenda based on comprehensive literature review using bibliometric and content analysis. The study analyzed 1225 documents from the international Scopus database using bibliometric analysis and content analysis. VOSviewer software is used for bibliometric analysis. The analysis revealed that most of the information was derived from the Finance Research Letters. Moreover, the United Kingdom is the most cited country, while Tianjin University in China has the highest publications affiliations. Furthermore, the analysis shows that the keyword analysis of cryptocurrency literature had four classes of research streams in cryptocurrency, namely, cryptocurrency, Blockchain, Fintech, and currency, representing the most upcoming trends. The present study makes a significant contribution to the literature by providing a framework for future research. The framework provides opportunities to future researchers to explore the web of relations among some identified research streams as future research agenda.

The purpose of this research is to study the role of the social media for knowledge sharing. The study presents a comprehensive review of the researches associated with the effect of knowledge management in social media. The study uses Scopus database as a primary search engine and covers 1858 of highly cited articles over the period 1994-2019. The records are statistically analyzed and categorized in terms of various criteria using an open source software package named R. The findings show that researches have grown exponentially during the recent years and the trend has continued at relatively stable rates. Based on the survey, knowledge management is the keyword which has carried the highest citations followed by social media and social networking. Among the most cited articles, papers published by researchers in United States have received the highest citations, followed by United Kingdom and China.

The purpose of this research is to investigate the status and the evolution of the scientific studies for the effect of social networks on big data and usage of big data for modeling the social net-works users’ behavior. This paper presents a comprehensive review of the studies associated with big data in social media. The study uses Scopus database as a primary search engine and covers 2000 of highly cited articles over the period 2012-2019. The records are statistically analyzed and categorized in terms of different criteria. The findings show that researches have grown exponentially since 2014 and the trend has continued at relatively stable rates. Based on the survey, decision support systems is the keyword which has carried the highest densities followed by heuristics methods. Among the most cited articles, papers published by researchers in United States have received the highest citations (7548), followed by United Kingdom (588) and China with 543 citations. Thematic analysis shows that the subject nearly maintained an important and well-developed research field and for better results we can merge our research with “big data analytics” and “twitter” that are important topics in this field but not developed well.