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The purpose of this study is to explore the association between select human resource management practices and employee performance in academic libraries in India.

The current study uses the quantitative method of research. Partial least squares-structural equation modelling (PLS-SEM) was used to analyse the results. The current study uses a cross-sectional approach by using a convenient sampling method. The sample size of the study was 163, which was adequate for conducting PLS-SEM analysis.

The study found a significant positive correlation between human resource management practices and employee performance in academic libraries. This suggests that the implementation of effective human resource management practices has a beneficial impact on various aspects of employee performance.

The study’s cross-sectional design may limit the ability to establish causality or determine the direction of the relationship between human resource management practices and employee performance. The study may have limitations regarding the sample size and its representativeness. If the sample is small or limited to specific academic libraries in India, it may not be possible to generalise the findings to a broader population of academic libraries in the country or to libraries in other regions or countries.

The study has practical implications for academic libraries in India. By recognising the significant correlation between human resource management practices and employee performance, libraries can prioritise the implementation of effective human resource management strategies. This includes aligning human resources practices with organisational goals, focusing on employee development and engagement and adopting best practices in recruitment, training and performance management.

This study can have broader social implications by promoting a supportive and productive work culture that positively impacts the academic library community.

The paper focuses on a quite important and largely unexplored area of human resource management within the academic libraries sector.

This study aims to map the scholarly literature on human resource management (HRM) publishing intensity in journals listed in Web of Science (WOS) under the subject category “Information Science and Library Science,” between 1989 and 2022.

The current study used a “bibliometric research design,” which is a quantitative approach. Ten selected bibliometric indicators were used to measure the scientific literature: publication-related metrics, citation-related metrics, citation analysis, co-citation analysis, bibliographic coupling, co-word analysis, co-authorship analysis, network metrics, clustering and visualization. Moreover, Louvain’s clustering algorithm was used for network metrics.

The paper gives empirical insights into the scholarly literature on HRM. The results were analyzed for the 65 sources and 1,412 authors from 60 countries who contributed the most during this period. Moreover, the study highlights a glimpse of funding sources, open-access publishing patterns and venues of publishing.

The study would be very beneficial to researchers and practitioners across disciplines.

This study illustrates that HRM is a multidisciplinary field that is appealing to academics from various disciplines because of its unique emphasis on management, and as such, it necessitates the pooling and integration of people, information, expertise and strategies. The study investigates numerous quantitative indicators such as research trends and collaboration frameworks.

The current study aims to map the scientific output of grey literature (GL) through bibliometric approaches.

The source for data extraction is a comprehensive “indexing and abstracting” database, “Web of Science” (WOS). A lexical title search was applied to get the corpus of the study – a total of 4,599 articles were extracted for data analysis and visualisation. Further, the data were analysed by using the data analytical tools, R-studio and VOSViewer.

The findings showed that the “publications” have substantially grown up during the timeline. The most productive phase (2018–2021) resulted in 47% of articles. The prominent sources were PLOS One and NeuroImage. The highest number of papers were contributed by Haddaway and Kumar. The most relevant countries were the USA and UK.

The study is useful for researchers interested in the GL research domain. The study helps to understand the evolution of the GL to provide research support further in this area.

The present study provides a new orientation to the scholarly output of the GL. The study is rigorous and all-inclusive based on analytical operations like the research networks, collaboration and visualisation. To the best of the authors' knowledge, this manuscript is original, and no similar works have been found with the research objectives included here.

This study aims to analyse and understand the current state of research in the field of digital marketing in “library and information science”.

This study used a “bibliometric research design.” A lexical title search was used to obtain the required data set for executing this study, and a comprehensive “indexing and abstracting” database, Web of Science, was used as a data harvesting source. Louvain’s clustering algorithm was used for network metrics.

The findings revealed that research productivity and impact have grown considerably over time, indicating significant attention towards digital marketing research in library and information science (LIS). Moreover, the results showed that the overall author collaboration patterns were weak, hence creating room for development in the author’s collaboration patterns.

The current study could be very beneficial in providing a comprehensive and up-to-date overview of the “digital marketing” research field scholarly output in LIS, which can be used by researchers, practitioners and policymakers to guide their work and make informed decisions.

The originality of this bibliometric study lies in its comprehensive and up-to-date analysis of the current state of research in the field of “digital marketing” in LIS. This study provides a unique and in-depth understanding of the key authors, venues and papers in the field, as well as the trends and patterns in the research.

This study aims to measure scientific literature on the emerging research area of “big data” in the field of “library and information science” (LIS).

This study used the “bibliometric method” for data curation. Web of Science and altmetric.com were used. Data analysis and visualisation were done using three widely used powerful data analytics software, R-bibliometrix, VOSviewer and Statistical Package for Social Sciences.

This study revealed the most preferred venues for publication. Furthermore, this study highlighted an association between the Mendeley readers of publications and citations. Furthermore, it was evident that the overall altimetric attention score (AAS) does not influence the citation score of publications. Other fascinating findings were moderate collaboration patterns overall. Furthermore, the study highlighted that big data (BD) research output and scientific influence in the LIS sector are continually increasing.

Findings related to BD analytics in LIS techniques can serve as helpful information for researchers, practitioners and policymakers.

This study contributes to the current knowledge accumulation by its unique manner of blending the two approaches, bibliometrics and altmetrics.

Open-access repositories (OARs) are essential for openly disseminating intellectual knowledge on the internet and providing free access to it. The current study aims to evaluate the growth and development of OARs in the field of technology by investigating several characteristics such as coverage, OA policies, software type, content type, yearly growth, repository type and geographic contribution.

The directory of OARs acts as the source for data harvesting, which provides a quality-assured list of OARs across the globe.

The study found that 125 nations contributed a total of 4,045 repositories in the field of research, with the USA leading the list with the most repositories. Maximum repositories were operated by institutions having multidisciplinary approaches. The DSpace and Eprints were the preferred software types for repositories. The preferred upload content by contributors was “research articles” and “electronic thesis and dissertations”.

The study is limited to the subject area technology as listed in OpenDOAR; therefore, the results may differ in other subject areas.

The work can benefit researchers across disciplines and, interested researchers can take this study as a base for evaluating online repositories. Moreover, policymakers and repository managers could also get benefitted from this study.

The study is the first of its kind, to the best of the authors’ knowledge, to investigate the repositories of subject technology in the open-access platform.

The study aims to analyse the “Top 100” articles that were most discussed on social media in 2020.

This study is based on the data retrieved from the Altmetric database. The data were tabulated in Microsoft Excel for further analysis. Moreover, articles were examined at an individual level to retrieve author affiliations for research collaboration analysis.

The most discussed article on social media for the year 2020 has an Article Attention Score (AAS) of 34775. COVID-19 related studies have dominated the list and it comes as no surprise since COVID-19 became the focal point of many researchers and publishers ever since the pandemic started. These articles have been published across 63 journals with the highest contributions from reputed journals such as Nature, PLoS ONE and Science. The majority (46%) of articles has been published in open access. Finally, the majority of publications are a result of research collaboration.

This study reflects the societal impact of research that could be used as an indicator of research performance.

The purpose of this study is to examine the research output on “library and information science” (LIS) research domain in South Africa. It also highlights the top LIS research organisations, authors, journals, collaboration types and commonly used keywords. This research will aid in the identification of emerging concepts, trends and advances in this subject.

The Web of Science (WoS), an indexing and abstracting database, served as a tool for bibliographical data. By applying advanced search features, the authors curated data from 1989 to 2021 through the WoS subject category WC = (Information Science & Library Science), limiting the scope to the region, CU = (South Africa), which resulted in 1,034 articles. Moreover, the research focuses on science mapping using the R package for reliable analysis.

The findings reveal that the publications have considerably grown over time, indicating significant attention among researchers in LIS. The findings indicate the critical operator’s performance, existing thematic choices and subsequent research opportunities. The primary topical fields of study that emerged from the bibliometric analysis are impact, information, science, model, management, technology, knowledge and education. Pouris and Fourie are the most productive citations, h-index and g-index. The influential institute was The University of Pretoria.

The use of the WoS database for data collecting limits this study. Because the WoS was the only citation and abstract database used in this study, bibliometric investigations using other citation and abstract databases like “Scopus”, “Google Scholar” and “Dimension” could be interesting. This study presented a bibliometric summary; nevertheless, a systematic and methodical examination of highly cited LIS research publications could throw more light on the subject.

This paper gives valuable information about recent scientific advancements in the LIS and emerging future academic subject prospects. Furthermore, this research work will serve as a reference for researchers in various areas to analyse the evolution of scholarly literature on a particular topic over time.

By identifying the standard channels of study in the LIS discipline, and the essential journals, publications, nations, institutions, authors, data sources and networks in this subject, this bibliometric mapping and visualisation provide new perspectives into academic performance. This paper also articulates future research directions in this realm of knowledge. This study is more rigorous and comprehensive in terms of the analytical procedures it uses.

The current study aims to gauge the association between HRM practices and performance in academic libraries in India.

This study used a quantitative approach to collect data. A total of 163 participants were included in this study. The sample was selected from 21 academic libraries. PLS-SEM, the main data analysis technique, was employed in the current research using the Smart PLS-4 software. The data for this study was collected through a survey conducted between March 1, 2022, and June 30, 2022.

The current study highlighted a significant positive correlation between HRM practices and performance. Moreover, the results indicated that job satisfaction mediates the relationship between training and performance among library professionals in academic libraries.

This study was limited to the University Libraries in northern India. It was not possible to cover all the academic libraries, because India has a large geographical area; it is the seventh-largest country in the world, with an area of 3.3 million square kilometres.

Employees play a vital role in addressing these concerns in their pursuit of sustainability because they are integral elements of organisations and a significant source of competitive advantage. This may be achieved through good human resource management, which involves defining performance indicators, teaching employees to empower them to achieve organisational goals and recognising their accomplishments. This study has the potential to enhance scholarship, particularly in the domains of “human resource management” and library management. This study can also be used by future academics interested in organisational behaviour, organisational effectiveness, job satisfaction, commitment and performance appraisal.

This study could be used as an empirical standard in decision-making policies aimed at improving employee performance and enhancing the smooth implementation of library management.

This study aims to examine the impact of intellectual capital on the underwriting risk of insurance companies in Pakistan.

The study used a quantitative research approach and a longitudinal research design, gathering data from 23 insurance companies listed on the Pakistan stock exchange from 2010 to 2022. The value-added intellectual coefficient (VAIC) was used to measure intellectual capital (IC), and unbalanced panel data were analyzed using static and dynamic regression analyses.

The findings demonstrate a significant association between intellectual capital and underwriting risk in insurance companies in Pakistan. Specific components of intellectual capital, such as human capital efficiency (HCE), structural capital efficiency (SCE) and capital employed efficiency (CEE), have a strong negative impact on underwriting risk. Control variables like return on assets, insurer size and leverage also showed significant relationships with underwriting risk.

This research provides new insights into the theoretical understanding of the insurance industry by establishing a direct link between intellectual capital and underwriting risk in the context of Pakistan. It suggests that by improving aspects of intellectual capital, specifically HCE, SCE and CEE, policymakers and managers can reduce underwriting risk.