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The purpose of this study is to conduct a meta-analysis of prior scientometric research of the knowledge management (KM) field.

A total of 108 scientometric studies of the KM discipline were subjected to meta-analysis techniques.

The overall volume of scientometric KM works has been growing, reaching up to ten publications per year by 2012, but their key findings are somewhat inconsistent. Most scientometric KM research is published in non-KM-centric journals. The KM discipline has deep historical roots. It suffers from a high degree of over-differentiation and is represented by dissimilar research streams. The top six most productive countries for KM research are the USA, the UK, Canada, Germany, Australia, and Spain. KM exhibits attributes of a healthy academic domain with no apparent anomalies and is progressing towards academic maturity.

Scientometric KM researchers should use advanced empirical methods, become aware of prior scientometric research, rely on multiple databases, develop a KM keyword classification scheme, publish their research in KM-centric outlets, focus on rigorous research of the forums for KM publications, improve their cooperation, conduct a comprehensive study of individual and institutional productivity, and investigate interdisciplinary collaboration. KM-centric journals should encourage authors to employ under-represented empirical methods and conduct meta-analysis studies and should discourage conceptual publications, especially the development of new frameworks. To improve the impact of KM research on the state of practice, knowledge dissemination channels should be developed.

This is the first documented attempt to conduct a meta-analysis of scientometric research of the KM discipline.

The study aims to analyze the synergy of artificial intelligence (AI), with scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields.

By conducting a systematic literature review, our aim is to explore the potential of AI in revolutionizing the methods used to measure and analyze scholarly communication, identify emerging research trends and evaluate the impact of scientific publications. To achieve this, we implemented a comprehensive search strategy across reputable databases such as ProQuest, IEEE Explore, EBSCO, Web of Science and Scopus. Our search encompassed articles published from January 1, 2000, to September 2022, resulting in a thorough review of 61 relevant articles.

(1) Regarding scientometrics, the application of AI yields various distinct advantages, such as conducting analyses of publications, citations, research impact prediction, collaboration, research trend analysis and knowledge mapping, in a more objective and reliable framework. (2) In terms of webometrics, AI algorithms are able to enhance web crawling and data collection, web link analysis, web content analysis, social media analysis, web impact analysis and recommender systems. (3) Moreover, automation of data collection, analysis of citations, disambiguation of authors, analysis of co-authorship networks, assessment of research impact, text mining and recommender systems are considered as the potential of AI integration in the field of bibliometrics.

This study covers the particularly new benefits and potential of AI-enhanced scientometrics, webometrics and bibliometrics to highlight the significant prospects of the synergy of this integration through AI.

Spatial bibliometrics and scientometrics have traditionally focused on examining both country and regional levels; however, in recent years, numerous spatial analyses on the city level have been carried out. While city-level scientometric analyses have gained popularity among policymakers and statistical/economic research organizations, researchers in the field of bibliometrics are divided regarding whether it is possible to observe the spatial unit “city” through bibliometric and scientometric tools. The purpose of this paper is to reveal the most significant challenges ahead of spatial scientometrics focusing on the city level by examining relevant scientometric studies.

This analysis involves the most significant spatial scientometric studies focusing on the city level and carefully examines how they collect bibliometric and/or scientometric data, what methodologies they employ to process bibliometric data and most importantly, how they approach the spatial unit “city”.

After systematically scrutinizing relevant studies in the field, three major problems have been identified: there is no standardized method of how cities should be defined and how metropolitan areas should be delineated; there is no standardized method of how bibliometric and scientometric data on the city level should be collected and processed; and it is not clearly defined how cities can profit from the results of bibliometric and scientometric analysis focusing on them.

This is the first study that compiles a “database” of scientometric studies focusing on the city level. The paper not only reveals major challenges ahead of city level spatial analysis but recommends some possible solution as well.

Given the magnitude of the literature, a researcher must be selective of research papers and publications in general. In other words, only papers that meet strict standards of academic integrity and adhere to reliable and credible sources should be referenced. The purpose of this paper is to approach this issue from the prism of scientometrics according to the following research questions: Is it necessary to judge the quality of scientific production? How do we evaluate scientific production? What are the tools to be used in evaluation?

This paper presents a comparative study of scientometric evaluation practices and tools. A systematic literature review is conducted based on articles published in the field of scientometrics between 1951 and 2022. To analyze data, the authors performed three different aspects of analysis: usage analysis based on classification and comparison between the different scientific evaluation practices, type and level analysis based on classifying different scientometric indicators according to their types and application levels and similarity analysis based on studying the correlation between different quantitative metrics to identify similarity between them.

This comparative study leads to classify different scientific evaluation practices into externalist and internalist approaches. The authors categorized the different quantitative metrics according to their types (impact, production and composite indicators), their levels of application (micro, meso and macro) and their use (internalist and externalist). Moreover, the similarity analysis has revealed a high correlation between several scientometric indicators such as author h-index, author publications, citations and journal citations.

The interest in this study lies deeply in identifying the strengths and weaknesses of research groups and guides their actions. This evaluation contributes to the advancement of scientific research and to the motivation of researchers. Moreover, this paper can be applied as a complete in-depth guide to help new researchers select appropriate measurements to evaluate scientific production. The selection of evaluation measures is made according to their types, usage and levels of application. Furthermore, our analysis shows the similarity between the different indicators which can limit the overuse of similar measures.

The purpose of this study is to conduct a structured literature review of scientometric research of the knowledge management (KM) discipline for the 2012–2019 time period.

A total of 175 scientometric studies of the KM discipline were identified and analyzed.

Scientometric KM research has entered the maturity stage: its volume has been growing, reaching six publications per month in 2019. Scientometric KM research has become highly specialized, which explains many inconsistent findings, and the interests of scientometric KM researchers and their preferred inquiry methods have changed over time. There is a dangerous trend toward a monopoly of the scholarly publishing market which affects researchers’ behavior. To create a list of keywords for database searches, scientometric KM scholars should rely on the formal KM keyword classification schemes, and KM-centric peer-reviewed journals should continue welcoming manuscripts on scientometric topics.

Stakeholders should realize that the KM discipline may successfully exist as a cluster of divergent schools of thought under an overarching KM umbrella and that the notion of intradisciplinary cohesion and consistency should be abandoned. Journal of Knowledge Management is unanimously recognized as a leading KM journal, but KM researchers should not limit their focus to the body of knowledge documented in the KM-centric publication forums. The top six most productive countries are the USA, the UK, Taiwan, Canada, Australia and China. There is a need for knowledge brokers that may deliver the KM academic body of knowledge to practitioners.

This is the most comprehensive, up-to-date analysis of the KM discipline.

This paper aims to present a meta-analysis and scientometric review to explore the intellectual evolution of research on the health and safety of women in construction, identify trends and research patterns and workplace stressors and hazards encountered by women in the construction industry.

A combination of scientometric analysis and meta-analysis was adopted to systematically review 32 relevant studies from 1984 to 2020, to provide a holistic review of research on women’s health and safety in construction aimed to identify the trend of research development. Techniques such as co-authorship, keyword co-occurring and cluster analysis were adopted.

Five main themes summarized by clustering focusing on Workplace Psychological Health, HIV/AIDS and Construction Work, Occupational Health and Safety Injuries, Gender Inclusivity and Sexism in Construction and Gender-specific Health and Safety Analysis. Findings revealed a slow growth in women’s health and safety research with the USA, South Africa, Australia and Japan leading research development. Additionally, the major stressors or hazards faced by women in construction were found to be biological related hazards.

The findings of the study are limited, resulting from the use of one abstract and citation database.

Findings from the study provide insights to the health and safety challenges of women in construction and identifies of knowledge gaps in the existing literature could provide researchers and industry practitioners with a comprehensive insight into intellectual landscapes, potential research frontiers on technologies for women’s construction health and safety.

While numerous studies have focused on the health and safety of workers in the construction industry, research on women’s health and safety is lacking. The study adopted a scientometric and meta-analysis approach to explore the intellectual evolution and reflect the research status on the subject.

This paper aims to perform a scientometric analysis of DESIDOC Journal of Library and Information Technology (DJLIT) to find out the quality, popularity and impact of the international journal published by DESIDOC.

Scientometric analysis of five volumes (from Volume No. 30 to 34) from the year 2010 to 2014 of DJLIT covering 30 issues containing 307 contributions was performed. All the bibliographic details were noted and recorded in tabular form for the purpose of in-depth analysis. Based on the analysis of the recorded data, findings have been presented.

The study shows a trend of gradual growth in contributions published during the period of study, with an average number of 61 contributions per volume of the journal. Maximum number of contributions/research papers (70) were found to be published in the year 2012, whereas the minimum (50) in the year 2010. The study reveals that DJLIT gives maximum importance to the original research papers for the purpose of publishing, which attained top position of publications with a total of 277 (90.23 per cent). A maximum number of contributions during the period of study are from joint authors, with a total of 188 (61.24 per cent). Maximum number of contributions are from India, with a total of 273 (88.93 per cent). New Delhi, Maharashtra and Karnataka were found to be the biggest domestic contributors during the period of study, with 68 (24.91 per cent), 39 (14.29 per cent) and 30 (10.99 per cent) contributions, respectively. It appears that the coverage of DJLIT, even being an international journal in the field of library and information science (LIS), is not very broad and its scope is broadly confined to India only. Majority of the authors preferred journals as their major source of information, providing the highest number of citations totaling 2,447 (51.89 per cent), while websites attained the second position with 1,015 (21.52 per cent) citations, followed by books with 613 (13 per cent) citations. The study further reveals that maximum number of citations totaling 1,109 (23.52 per cent) out of 4,716 were received in the year 2013, while least citations totaling 700 (14.84 per cent) were recorded in the year 2010. One of the most important quality of DJLIT is that it has great concern for emerging and new tools, techniques and technologies in the LIS profession and their impact and application in the field. The journal regularly publishes special issues in every volume on such themes that have great impact on the LIS profession, and it has published 16 special issues on various important themes during the period of study. DJLIT, having free online access through the internet, is the highly preferred journal for communication, knowledge acquisition and reference by the LIS professionals. The journal has great potential of attaining new heights of popularity and impact all over the world in the LIS profession. It is suggested that the journal should try to get high-quality papers from foreign authors too, which may be useful in enhancing its global impact and reputation.

The present study is confined to the data collected from 30 issues of the five volumes of the DJLIT from the year 2010 to 2014, while the journal is continuously being published since the year 1981. Hence, the results may vary if the studies of different blocks of the years of publication of the journal are performed. The present study may not be fully representative in all the results, but it gives a trend regarding publication of the DJLIT.

Scientometric analysis of journals has been attempted in very few numbers. Hence, the present study will be a source of idea to other researchers.

The construction industry (CI) has been identified as one of the most challenging sectors for stakeholders to achieve organizational success. Although previous studies had examined both organizational leadership (OL) and employee well-being (EWB) in the CI, a bibliometric and systematic analysis of published articles is hitherto lacking. Therefore, this paper aims to conduct a bibliometric and scientometric review of published articles related to OL and EWB in the CI between 2008 and 2022.

A three-step method consisting of a bibliometric analysis, a scientometric analysis and an in-depth discussion were used. A total of 1,114 articles met the inclusion criteria. All articles were retrieved from the Scopus database.

The results present an in-depth discussion of the research publication trends, keywords co-occurrence analysis, document analysis and countries/regions analysis. This review paper identified three main research gaps in OL and EWB in the CI, namely, project management, technology innovation and people orientation. It also proposes “OL-EWB in the CI”' mechanisms and a theoretical framework to guide future research directions.

This review paper theoretically fills the gap in the lack of research summarizing OL and EWB in the CI and provides research gaps and trends for achieving a win-win situation for both companies and employees.

The purpose of this paper is to summarize the research of construction conflict from 1991 to 2020 and propose research directions for future scholarly work. During the recent decades, it is widely accepted that construction conflict is inevitable, and conflict management has become an important component of project management. However, few works were done to map the global study in this field, there is limited review that evaluates the current stage of construction conflict research.

This study adopted a holistic literature review approach that incorporates bibliometric search and scientometric analysis. A total of 698 bibliographic records from the Web of Science core collection database were collected for the scientometric analysis. CiteSpace5.7 was adopted for the science mapping purpose in this study.

Through co-authorship analysis, co-word analysis and co-citation analysis, influential scholars and journals are identified. Several research trends are highlighted according to the scientometric analyses of the construction conflict topics. For example, the application of simulation and algorithms to the study of construction conflict management systems.

Construction is a resource-intensive, multi-participant and multi-targeted industry. Conflicts always exist in the whole life cycle of construction projects, it is important for industry practitioners to be updated of the latest movement and progress of the academic research.

This study contributed to the body of knowledge in construction conflict and bridge the research gap in the thorough review of previous research work.

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.