Search results

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 paper aims to explore the Google Arts and Culture platform in terms of parameters used for categorizing the digital collections by it; the total number of items and their types; top contributing artists; top ten historical events and figures; and the top ten countries having maximum artworks.

An online method was used to collect the relevant data for achieving the objectives of the study. Data were harvested from the official website of Google Arts and Culture (https://artsandculture.google.com/) during the period of 15 May to 31 May 2018, and the same was tabulated in MS Excel for analysis and interpretation.

The findings revealed that Google Arts and Culture includes a total of 6,272 artists, 228 media and 121 art movements. Moreover, there are a total of 641 historical movements; 6,250 historical figures; 9,692 places; 3,226 museum views; 1,702 zoom views; 39,607 featured videos; and 5,528 featured stories; 122 items organized by color and 954 organized by time.

The present study is first of its kind that focuses on exploration of diverse arts and cultural heritages of different countries and by diverse artists made visible by Google Arts and Culture initiative. It will significantly reinforce the art and cultural heritage lovers to acquire the knowledge pertinent to various types of arts and cultures that prevailed in antiquity across the globe and also make aware the conservators about how to use digital technologies for efficient preservation and visibility of unique artworks, artists and the places whom they belong.

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 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 examined the comprehensive assessment of the efficacy of Library and Information Science (LIS) CPD programmes in the particular setting of Indian academic libraries in Northern India. The study systematically assessed the programmes' impact on four levels: behaviour, reaction, learning, and results, using Donald Kirkpatrick’s widely recognised evaluation model.

The research employed a census sampling method and a questionnaire to gather information from 177 respondents employed in university libraries.

The findings demonstrated that professionals were satisfied with the CPD programmes, eager to learn more and apply their newly acquired knowledge and skills at their workplaces, and interested in applying learning to get results. Moreover, the significant factors that hindered the implementation of learning in the workplace were a lack of management support and poor IT infrastructure.

The paper’s uniqueness and significance come from carefully examining the effects of CPD programmes in LIS within the particular setting of university libraries in Northern India.

The purpose of this paper is to explore the status of institutional repositories (IRs) in the South Asian region. The various characteristic features of IRs are studied.

Open directory of open access repositories (DOAR) as a data-gathering tool was consulted for extracting the desired data.

India, Sri Lanka and Bangladesh lead other South Asian nations in terms of IRs count. Majority of the IRs are operational in nature with higher number of operational IRs from India. In terms of record count, India leads the list. “Journal articles” outscore other content type and majority of the IRs have OAI-PMH as their base URL. DSpace stays a prioritized software for content management in IRs. Majority of the IRs have not defined their content management policies. English stays a prioritized language of the content dotting the South Asian IRs and majority of the IRs not providing usage statistics. A good score of IRs has incorporated Web 2.0 tools in them with RSS as the preferred Web 2.0 tool. A good count of the IRs has not customized their interface. Majority of the IRs have interface in two languages.

The main limitation of the study is that the findings of the research are based on the data collected through the repositories indexed by Open DOAR.

The study tries to explore the characteristic features of IRs from the South Asian region.

The study aims to investigate the influence of HIX.AI, an artificial intelligence (AI) tool that humanizes the generated content, on the detection capabilities of AI-generated text detectors.

The study investigates the reliability of six AI-generated content detection tools by passing ten essays, five each generated using Chat Generative Pre-Trained Transformer (ChatGPT) and Bard (Gemini) before and after passing through HIX.AI, which humanizes the AI-generated content.

The study found that the selected AI-generated text detectors identified the generated content with inconsistencies. Some of the essays were falsely identified as human-written by a few detectors, indicating that the detectors are unreliable. Post-HIX.AI application found that all the essays were passed as human-written except two, which identified as AI-generated and mixed content by two separate detectors.

The findings present the evolving field of AI-generated text detectors and the tools that can bypass the detectors highlighting the difficulties in identifying the generated content in the presence of the humanization tool. Passing the generated content as human-written has serious consequences, especially in academics. Hence, the study recommends more robust detectors to distinguish human-written and AI-generated content accurately.

The study contributes to the existing literature on AI text detectors and highlights the challenges that humanization tools pose in identifying AI-generated text by AI text detectors.

This paper of this study is to attempt to explore the status of collection in agricultural libraries of Northern India and assess the magnitude of impact of the advent of electronic information resources (EIRs) on the contemporary acquisition.

While adhering to the survey method, the questionnaire was used as a data collection tool to collect data from university librarians. Telephonic interaction and e-mail correspondence were also used to clear doubts, remove ambiguities and obtain data of higher significance from the respondents.

The majority of the agricultural libraries in Northern India have a sound collection of information resources in the print form, which may continue to act as a source of attraction for users in the future for a long time to come. Yet, the acquisition of information resources in the print form across the studied libraries continues at routine pace, and as such the advent of e-resources seems to have not yet laid any prominent impact on acquisition of resources in print form. E-Books have not yet been fully incorporated into the library collection and that e-journal collection “CeRA” (Consortium for Electronic Resources in Agriculture) seems to gratify the needs of users of these libraries, as no additional e-journals are seen to be subscribed to at present.

Only seven agricultural libraries have been taken as a sample. Moreover, the work is confined to only two aspects, i.e. current status and the impact of EIRs on acquisition of information resources. Other aspects like those of collection development, storage and accommodation, preservation, library functionality and library services need to also be studied.

This is first work of its nature in Northern India with agricultural libraries as their domain. The findings will help the librarians and the library advisory committees decide on logical grounds about the proportion at which the print and electronic forms of information resources need to be acquired.