Search results

The paper's aim is to document the development of a novel tool to address the inadequacies of existing cocitation visualization tools.

The paper demonstrates the visualized effects of this tool and supplements the results with a case study that utilizes a large data set to explore the cross‐field studies among different computer science fields.

The tool displays cocitation graphs with latent visual cues and allows direct manipulation of the visualized graphs. The tool also facilitates the exploration of the relationships between articles in the graphs.

The indirect cocitation relationships are vividly visualized by the citation network itself. The context lost by the conventional cocitation network may be preserved. Instead of being linked by explicit lines, the implicit cocitation relationships are shown by the closeness among the cocited nodes.

The preserved context of a cocitation network may facilitate the exploration of latent cross‐field studies. The cocitation visualization tool demonstrates that the context of the cocitation graph is preserved by using the citation network itself to reveal cocitation relationships.

The cocitation relationships are implied by the closeness among cocited nodes in a citation graph. The paper documents this novel approach which has not been seen before.

The purpose of this review is to systematically understand the development of enterprise social media (ESM) research, quantitatively analyze the landscape and track the development of ESM literature and reveal new trends and challenges in ESM research.

Based on 321 relevant literature studies (2005–2020) collected from the Web of Science core collection, the visualization tool CiteSpace is used to conduct bibliometric cocitation and cooccurrence analyses to quantify and visualize the landscape and evolution of ESM research.

Through analyzing the author cocitation network, document cocitation network, journal cocitation network and keywords cooccurrence network, this review proposes an integrated research framework, which highlights major purposes, antecedents and consequences of ESM use in organizations and presents future research trends of ESM research.

Different from the existing qualitative review of ESM, this review adopts bibliometric review to quantify and visualize the landscape of ESM research.

This paper aims to understand the development track of skills mismatch research and discover the hidden internal connections between literature.

The authors gathered data through scientometric quantitative analysis using CiteSpace. Specifically, this article applied basic analysis, journal cocitation analysis (JCA), author cocitation analysis (ACA) and document cocitation analysis (DCA), cluster analysis, citation burstness detection, scientific research cooperation analysis and coconcurrence analysis of keywords of 3,125 documents from Web of Science core collections for the period 2000–2020.

Through the document cocitation analysis and the keywords' co-occurrence, this article identifies influential scholars, documents, research institutions, journals and research hotspots in research on the skills mismatch phenomenon. The results showed that the publications had ballooned, and the phenomenon has become an interdisciplinary research subject. The USA and Finland remain the main contributors, which is attributed to their high-yield institutions such as the University of Helsinki, the University of Witwatersrand, the University of Washington and so on. While the African continent lacks research on skills mismatch even with the continent’s effort to overcome such a crucial issue. The paper presents an in-depth analysis of skills and educational mismatch issues to better understand the evolutionary trajectory of the collective knowledge over the past 20 years and highlight the areas of active pursuit.

The authors only used Web of Science core collection to collect data; however, they can added Scopus indexed database as well to extend the research trends and explore more new research hot topics to solve the skills mismatch phenomenon.

The scientometric analysis is of great significance for identifying the potential relationship between the literature and investigating the knowledge evolution of skills mismatch research. Organisation for Economic Co-operation and Development, the International Labor Organization and the World Health Organization are the giants who are mostly concerned of the mismatch skills phenomenon. Researchers can refer to this study to understand the status quo, gaps and research trends to deal with the skills mismatch issue.

The purpose of this paper was to map the safety management research of construction industry by scientometric analysis, which can predict important highlights and future research directions of safety management research in the construction industry. As an important issue in the construction industry, safety management issues have been researched from different perspectives. Although previous studies make knowledge contributions to the safety management research of construction industry, there are still huge obstacles to distinguish the comprehensive knowledge map of safety management research in the construction industry.

This study applies three scientometric analysis methods, collaboration network analysis, co-occurrence network analysis and cocitation network analysis, to the safety management research of construction industry. 5,406 articles were retrieved from the core collection database of the Web of Science. CiteSpace was used for constructing a comprehensive analysis framework to analyze and visualize the safety management research of construction industry. According to integrating the analysis results, a knowledge map for the safety management research of construction industry can be constructed.

The analysis results revealed the academic communities, key research topics and knowledge body of safety management research in the construction industry. The evolution paths of safety management research in the construction industry were divided into three development stages: “construction safety management”, “multi-objective safety management” and “comprehensive safety management”. Five research directions were predicted on the future safety management research of construction industry, including (1) comprehensive assessment indicators system; (2) intelligent safety management; (3) cross-organization collaboration of safety management; (4) multilevel safety behavior perception and (5) comparative analysis of safety climate.

The findings can reveal the overall status of safety management research in the construction industry and represent a high-quality knowledge body of safety management research in the construction industry that accurately reflects the comprehensive knowledge map on the safety management research of construction industry. The findings also predict important highlights and future research directions of safety management research in the construction industry, which will help researchers in the safety management research of construction industry for future collaboration and work.

This study research contributes in fulfilling the gap by carrying out a systematic literature review (SLR) of contemporary research studies in closed-loop supply chain (CLSC). To the best of the author’s knowledge, an SLR rooted in bibliometric analysis has not been carried focusing on advent developments in CLSC. SLR employs scientific methodologies to select papers from standard databases. The SLR using advanced bibliometric and network analysis enables unveiling the key features of the contemporary literature.

The author has analyzed over 333 documents published from 2008 and onward. Using the contemporary tools from bibliometric analysis tools, the author presented an exploratory analysis. A network analysis is utilized to visualize literature and create clusters for the cocited research studies, keywords and publication sources. A detailed multivariate analysis of most influential works published based top 100 articles via a cocitation matrix is done. The multivariate analysis used k-means clustering in which optimal number of clusters are estimated. The analysis is further extended by using a factor analysis, which enables determining the most influential clusters in the k-means clustering analysis.

The SLR using a bibliometric and network analysis enables unveiling the key features of the contemporary literature in CLSC. The author examined published research for influential authors, sources, region, among other key aspects. Network analysis enabled visualizing the clusters of cocited research studies, cowords and publication sources. Cluster analysis of cocited research studies is further explored using k-means clustering. Factor analysis extends findings by identifying most contributing grouping of research areas within CLSC research. Each clustering technique disclosed a unique grouping structure.

CLSC has received considerable attention, and its core areas start with focusing on reverse logistics concepts relating reuse, recycling, remanufacturing, among others. Contemporarily, the studies have enhanced reverse logistics core functionalities interfaced with the other interesting avenues related to CO₂ emission reduction, greening and environmental protection, sustainability, product design and governmental policies. Earlier studies have presented a literature review of CLSC; however, these reviews are commonly conducted in the traditional manner where the authors select papers based on their area of expertise, interest and experience. As such these reviews fall short in utilizing the advanced tools from bibliometric analysis.

Studying the nature of research progress in interrelated research domains is important for evaluating the research productivity and to understand the current trends of the area of research. This study aims to examine a research domain that combines library and information science with information systems (IS).

Quartile 1 journals that cover both subject domains in SCImago were selected for the study. Bibliographic records of the publications during 2010 and 2019 were retrieved from the Scopus database. VOSviewer data visualization tool was used to perform citation, coauthorship, bibliographic coupling, cocitation and co-occurrence analysis. In addition, descriptive and inferential statistics were exploited.

The absence of a consistent association between the number of documents authored and the number of citations received by a researcher was an important finding of the study. The strong association of authors regardless of the different topics they researched and the trend of increasing interest on collaborative research were also highlighted. Moreover, the authors who received the highest number of citations were not always the first authors of the documents which received the most citations. The documents published in information management, information theory and IS journals attained the most citations. The journals, institutions and countries with the highest number of documents and citations were also revealed by the research. Electrical engineering departments showed a higher research productivity, while they were utilized more compared to that of other departments. IS and management, information theory, communication, information retrieval, geographic-based IS and bioinformatics were the six major research areas of the considered domain.

This is the first study related to examining the research progress in a combined subject domain using multiple aspects including, individual performance, institutional progress, geographical contribution and so on. Identifying the major research areas in the combined subject domain can also be considered a novel contribution to the field.

The COVID-19 pandemic has disrupted the supply chains, and this brought researchers and practitioners to think about more on circular supply chains (CSC). The CSC concept has been discussed in the literature more than a decade. This study aims to find out the theoretical roots of CSC by analyzing scholarly articles in literature.

This paper uses document cocitation analysis for reaching this aim. After retrieving data from Web of Science database, this paper explores data set by considering used references of these publications and clusters them based on their title terms and visualizes them by using cosine similarity index.

This paper concludes that CSC is mainly discussed along with sustainability, sustainable supply chains and green supply chains, where the focus is integrating circular economy principles to supply chain management (SCM). On the other hand, although resiliency is an essential characteristic of SCM, contribution of CSC to supply chain resilience is neglected in the literature.

CSC will gain importance in near future to increase national/firm productivity, and findings of this paper will give researchers insights for furthering their studies.

To avoid supply chain and market collapse caused by natural disruptions, supply chain resilience is of paramount importance. According to the findings of this paper, the authors believe that business resilience in COVID-19-restricted environment may have exit point by using circular perspective.

The importance of CSC has increased due to the disruptions caused by the COVID-19 pandemic. Therefore, this unique study was undertaken to investigate the evolution of this crucial topic with evidence from the literature through a cocitation analysis.

This study aims to conduct a bibliometric analysis on “intertemporal choice” behavior of individuals from journals in the Scopus database between 1957 and 2023. The research covered the data on the said topic since it first originated in the Scopus database and carried out performance analysis and content analysis of papers in the business management and finance disciplines.

Bibliometric analysis, including science mapping and performance analysis, followed by content analysis of the papers of identified clusters, was conducted. Three clusters based on cocitation analysis and six themes (three major and three minor) were identified using the bibliometrix package in R studio. The content analysis of the papers in these clusters and themes have been discussed in this study, along with the thematic evolution of intertemporal choice research over the period of time, paving a way for future research studies.

The review unpacks publication and citation trends of intertemporal choice behavior, the most significant authors, journals and papers along with the major clusters and themes of research based on cocitation and degree of centrality and relevance, respectively, i.e. discounting experiments and intertemporal choice, impulsivity, risk preference, time-inconsistent preference, etc.

Over the past years, the research on “intertemporal choice” has flourished because of the increasing interest of researchers and scholars from different fields and the dynamic and pervasive nature of this topic. The well-developed and scattered body of knowledge on intertemporal choice has led to the need of applying a bibliometric analysis in the intertemporal choice literature.

Nanosensors have a wide range of applications because of their high sensitivity, selectivity and specificity. In the past decade, extensive and pervasive research related to nanosensors has led to significant progress in diverse fields, such as biomedicine, environmental monitoring and industrial process control. This led to better and more efficient detection and monitoring of physical and chemical properties at better resolution, opening new horizons in the development of novel technologies and applications for improved human health, environment protection, enhanced industrial processes, etc.

In this paper, the authors discuss the application of citation network analysis in the field of nanosensor research and development. Cluster analysis was carried out using papers published in the field of nanomaterial-based sensor research, and an in-depth analysis was carried out to identify significant clusters. The purpose of this study is to provide researchers to identify a pathway to the emerging areas in the field of nanosensor research. The authors have illustrated the knowledge base, knowledge domain and knowledge progression of nanosensor research using the citation analysis based on 3,636 Science Citation Index papers published during the period 2011 to 2021.

Among these papers, the bibliographic study identified 809 significant research publications, 11 clusters, 556 research sector keywords, 1,296 main authors, 139 referenced authors, 63 nations, 206 organizations and 42 journals. The authors have identified single quantum dot (QD)-based nanosensor for biological applications, carbon dot-based nanosensors, self-powered triboelectric nanogenerator-based nanosensor and genetically encoded nanosensor as the significant research hotspots that came to the fore in recent years. The future trend in nanosensor research might focus on the development of efficient and cost-effective designs for the detection of numerous environmental pollutants and biological molecules using mesostructured materials and QDs. It is also possible to optimize the detection methods using theoretical models, and generalized gradient approximation has great scope in sensor development.

The future trend in nanosensor research might focus on the development of efficient and cost-effective designs for the detection of numerous environmental pollutants and biological molecules using mesostructured materials and QDs. It is also possible to optimize the detection methods using theoretical models, and generalized gradient approximation has great scope in sensor development.

This is a novel bibliometric analysis in the area of “nanomaterial based sensor,” which is carried out in CiteSpace software.

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.