Search results

The purpose of this paper is to identify the most popular places, gadgets, searching tools and techniques adopted by users of Dr Y.S. Parmar University of Horticulture and Forestry (DYSPUH & F), Nauni, Solan, Himachal Pradesh, while searching electronic information resources (EIRs).

A survey was conducted with the help of a structured questionnaire used as a data collection tool.

It is found that department/office chamber (42 per cent), hostel (29 per cent) and home (26 per cent) prove to be the most popular places of access. Majority of users use laptops to access and read EIRs. Among all popular platforms, users of DYSPUH & F library prefer to use “search engines”, and “Google” proves to be the number one search engine. Majority of users search the information through “title” followed by “keywords/subject terms”. The users are not yet well-versed with most of the advanced search techniques, as less than half of them are able to use only Boolean operators, and less than 10 per cent of them claim to know other search techniques. Majority of users have learnt to use information search and retrieval skills through self-study.

Only one agricultural university of northern India was surveyed; hence, the results cannot be generalised for the entire northern region of the country.

The findings will help the library authorities to see what are the prime areas of concern so far as the search discourse and accessibility of e-resources is concerned.

No such survey has been conducted in the University till date.

This purpose of this paper is to present the current state and use of the web by university libraries in India and to examine the web‐based library services offered by some university libraries in different sections via their websites with the help of web‐based library automation software.

A survey was conducted through a structured questionnaire circulated personally among university librarians and the response rate was 100 percent. The responses received from the respondents to 22 questions are presented in the form of tables and figures and analyzed using a simple method of percentages.

The findings show that many of the surveyed university libraries are yet to exploit full potential of the web forms, and are lagging behind in effective use of library website. A few libraries offer innovative web‐based library services in different sections. This study identified specific ways in which the web helps university libraries to improve and develop innovative and creative web‐based library services. Some key improvements and developments are: there is an urgent need to develop dynamic library websites and incorporate relevant Web 2.0 based services including web forms in each web‐based library service; apply semantic technologies and ontologies; adopt next‐generation internet (IPv6); and provide multi‐language support content. This study also examined institutional characteristics and resources dedicated to web‐based services.

The geographical area of the study was restricted to 20 university libraries in India.

The study aims to present an insight into the research landscape of Library and Information Science (LIS) by India using a bibliometric visualization tool. The study analyses the research growth and trends, highly cited articles, productive publication titles, institutional and country collaboration.

The data were downloaded from the Web of Science Core Collection for a period of 20 years and analysed through VOSviewer, a data visualization software.

The results indicate that the overall annual contributions are increasing, although with uneven and slow growth from 2001 to 2014. However, the highest contributions and impact is witnessed over the past few years. All the top 10 cited papers are related to the area of information processing and management. The visualization technique made it clear that the area of research has made a transition from traditional concepts of library and information to novel ones involving big data, machine learning, altmetrics, etc. Also, the Indian Institute of Technology System, the Council of Scientific and Industrial Research and the Indian Institute of Management System have made the highest contributions. Furthermore, India shares maximum collaborations with the USA, followed by England and China.

The findings of this study would help readers to gain understanding about the contribution of India for the development of the LIS. It would also help researchers to identify the hotspots and left out areas of research in the Indian context that require further investigation, thus would help in policy decisions and future research. Furthermore, researchers will be sensitized about the network visualizations that can also help them to get connected with the peers. The study can also help the journals to recognize the trending topics, which will provide the researchers with the opportunities to work on the same. Funding agencies can also be benefitted by the findings of the current study as they will be informed about the research areas which need to be funded.

There are not many research studies that highlight the research trends in the area of LIS from India and visualize the collaboration among institutions and countries. The study tries to showcase the research trends and collaborative frameworks in the field of LIS in terms of network visualization.

This study aims to adopt text mining to discover emerging topics in librarianship and information science research in the last decade. Based on the number of citations obtained during the previous 10 years, the authors selected emerging topics in this study and evaluated the strength of their presence. Additionally, the authors determined if the trend was substantial over time and identified the active topics in library and information science (LIS) through the past 10 years.

All library and medical information studies were retrieved by the WC = “Information Science & Library Science” tag in the Web of Science. Python programming was used for data analysis. The topics were identified by combining the unsupervised deep learning algorithms TOP2VEC and the term frequency-inverse document frequency and also the Mann–Kendall trend test is used to determine whether the trend was significant over time.

Following text mining, the total data from 2012 to 2021 was 63,712. Eleven main topics were also extracted: academic education of LIS, acquisition and collection development, publishing articles, cataloging and classification, journalism, knowledge management, infometrics, social media, university ranking, information and communication technologies and information storage and retrieval. Knowledge management has experienced the greatest growth over the past 10 years.

This analysis reveals which fields are prioritized and which are neglected by the LIS. The findings of this study can help researchers discover newer topics, focus on less-seen subjects and prevent repetitive research in one area.

The aim of this research is to develop an eigenspace-based fuzzy c-means method for scalable topic detection.

The eigenspace-based fuzzy c-means (EFCM) combines representation learning and clustering. The textual data are transformed into a lower-dimensional eigenspace using truncated singular value decomposition. Fuzzy c-means is performed on the eigenspace to identify the centroids of each cluster. The topics are provided by transforming back the centroids into the nonnegative subspace of the original space. In this paper, we extend the EFCM method for scalability by using the two approaches, i.e. single-pass and online. We call the developed topic detection methods as oEFCM and spEFCM.

Our simulation shows that both oEFCM and spEFCM methods provide faster running times than EFCM for data sets that do not fit in memory. However, there is a decrease in the average coherence score. For both data sets that fit and do not fit into memory, the oEFCM method provides a tradeoff between running time and coherence score, which is better than spEFCM.

This research produces a scalable topic detection method. Besides this scalability capability, the developed method also provides a faster running time for the data set that fits in memory.

This study addresses the gap in understanding text analytics within the service domain, focusing on new service development to provide insights into key research themes and trends in text analytics approaches to service development. It explores the benefits and challenges of implementing these approaches and identifies potential research opportunities for future service development. Importantly, this study offers insights to assist service providers to make data-driven decisions for developing new services and optimising existing ones.

This research introduces the hybrid thematic analysis with a systematic literature review (SLR-TA). It delves into the various aspects of text analytics in service development by analysing 124 research papers published from 2012 to 2023. This approach not only identifies key practical applications but also evaluates the benefits and difficulties of applying text analytics in this domain, thereby ensuring the reliability and validity of the findings.

The study highlights an increasing focus on text analytics within the service industry over the examined period. Using the SLR-TA approach, it identifies eight themes in previous studies and finds that “Service Quality” had the most research interest, comprising 42% of studies, while there was less emphasis on designing new services. The study categorises research into four types: Case, Concept, Tools and Implementation, with case studies comprising 68% of the total.

This study is groundbreaking in conducting a thorough and systematic analysis of a broad collection of articles. It provides a comprehensive view of text analytics approaches in the service sector, particularly in developing new services and service innovation. This study lays out distinct guidelines for future research and offers valuable insights to foster research recommendations.

The present article's primary purpose is the topic modeling of the global coronavirus publications in the last 50 years.

The present study is applied research that has been conducted using text mining. The statistical population is the coronavirus publications that have been collected from the Web of Science Core Collection (1970–2020). The main keywords were extracted from the Medical Subject Heading browser to design the search strategy. Latent Dirichlet allocation and Python programming language were applied to analyze the data and implement the text mining algorithms of topic modeling.

The findings indicated that the SARS, science, protein, MERS, veterinary, cell, human, RNA, medicine and virology are the most important keywords in the global coronavirus publications. Also, eight important topics were identified in the global coronavirus publications by implementing the topic modeling algorithm. The highest number of publications were respectively on the following topics: “structure and proteomics,” “Cell signaling and immune response,” “clinical presentation and detection,” “Gene sequence and genomics,” “Diagnosis tests,” “vaccine and immune response and outbreak,” “Epidemiology and Transmission” and “gastrointestinal tissue.”

The originality of this article can be considered in three ways. First, text mining and Latent Dirichlet allocation were applied to analyzing coronavirus literature for the first time. Second, coronavirus is mentioned as a hot topic of research. Finally, in addition to the retrospective approaches to 50 years of data collection and analysis, the results can be exploited with prospective approaches to strategic planning and macro-policymaking.

The systematic literature review aims to highlight the transformative influence of mobile technology in reshaping library services for Library and Information Science (LIS) professionals and users.

The selection of relevant literature utilized the PRISMA-20 guidelines and a systematic literature review, wherein 39 articles were meticulously examined from a pool of 198. The inclusion and exclusion criteria were applied to articles retrieved from the Scopus database and Google Scholar, focusing on data from 2018 to 2023 and excluding all the literature except journal articles.

The results demonstrate a significant awareness among LIS professionals and users regarding adopting mobile-based library services. Nonetheless, the adoption of mobile technology in libraries faces impediments from internal and external factors. These challenges encompass the need for coherent policies and practical issues such as insufficient financial resources, limitations in infrastructure, unpredictable electricity and Internet connectivity. The study also highlights concerns related to data security, the digital divide, a shortage of IT experts and inadequate staffing. The findings suggest that libraries must navigate this evolving landscape to provide improved and more accessible services to their users.

This study addresses a gap in the existing research by contributing to the literature on using mobile technology for accessing library services and resources. The findings aim to assist LIS professionals in developing plans, policies and strategies for implementing mobile-based library services.

The results of this study contribute to improving and expanding current mobile-based services in libraries, ensuring that information and resources are universally accessible “on the go environment.”

This study aims to investigate future trends evident in the literature. It systematically reviews continuing professional development (CPD) practices, covering a range of CPD channels, benefits and challenges.

The study used a systematic literature review approach following the PRISMA 20 framework. Literature published between 2017 and 2023 was sourced from Scopus and Web of Science databases and the researcher's prior collection. An extensive search strategy was devised, yielding 1,740 results for initial screening. Finally, 25 studies were thoroughly scrutinized, each fulfilling the criteria for inclusive and exclusive with descriptive and interrogative analysis.

The trend observed in literature over the years indicates a dynamic professional development of library and information science (LIS) professionals. This evolution encompasses foundational qualitative studies, expansive global assessments and technology-driven interventions, reflecting the field's adaptability to the evolving needs of LIS professionals. However, several impediments hinder professionals from actively participating, such as financial constraints, lack of institutional and senior support, difficulties in the workplace, the absence of well-defined CPD policies, personal commitments, family obligations and diverse staff attitudes. The study proposes seamless integration of information and communication technology, a global perspective and well-structured CPD programs focusing on lifelong learning that will shape the future of LIS professionals.

This study offers valuable insights into the present state of professional development among LIS professionals toward global collaboration and a dedication to lifelong learning, aiming to aid stakeholders in formulating suitable strategies and policies.

This study aims to provide insight into the usage of metaverse technologies in libraries, examining their impact on library service user engagement and assisting in unique promotion and marketing techniques for the metaverse setting.

This study used a literature review approach to synthesize current scholarly material on metaverse technologies and their practical applicability in the library context. It gathered academic literature from Emerald, Web of Science, Scopus and Google Scholar databases to construct a strong foundation for the study from journal articles, which were retrieved using the researcher’s “search string.”

Metaverse technologies are reshaping the idea of smart libraries, offering innovative approaches to interact with information resources and delivering users progressively immersive and dynamic learning experiences. This in-depth investigation adds to a better understanding of the emerging link between metaverse technology and library professionals. It bridges the gap between libraries and users, transcending geographical boundaries and enabling libraries to serve a global audience. It anticipates metaverse-infused academic libraries welcoming new methods of engaging with their users with interactive capabilities to create a unique environment to explore library resources in an interactive marketing approach.

The metaverse is not only the future but also the future of libraries. This research fills the gap by advancing the literature on cutting-edge library technologies and empowers users to become reflective and well-informed information producers. It also helps library stakeholders engage with their audience in new and impactful ways and explore innovative marketing strategies tailored to the metaverse environment.