DESIDOC Journal of Library & Information Technology

Scientometric Study of Research on AI & ML Application in Defence Technology and Military Operations

Ajay Kumar Pandey — 2024-04-04

Application of AI and machine learning in different domains of defence system in increasing rapidly to bring automation and to facilitate all the benefits of modern technologies in military. This article conducts a scientometric analysis on articles that are on application of Ai and Ml in military equipment, military intelligence, cyber security, decision making, military operations, defence medical systems etc. This study has executed a search query on Web of Science for identifying peer reviewed current resources that are contributing to the application of modern technologies in military systems. With extensive query and filtering this study has identified 417 articles with in the period of 1991 to 2023. With analysing all the data, it determines that a lot of varied research is there on the defence system that promotes use of modern technologies in development of weapon, conducting strategic military operation, prioritising military society etc. Prioritising legal and ethical parameters. This study has also highlighted legal, and security concerns surrounding using autonomous systems in military applications. The authorship pattern, document types, country production over time, and most cited countries have also been studied. Bradford’s scattering law was applied to identify the core journals, and Lotka’s law to check authors’ productivity patterns.

Researchers Expectations Towards Library Research Support Services (LRSS)

Kuldeep Singh — 2024-04-04

This cross-sectional study is aimed to identify the expectations and problems faced by faculty members and research scholars at Maharshi Dayanand University regarding library research support services (LRSS) under seven service dimensions. The research outcome reveals that the service most anticipated by the participants was ‘Database Services’ having the highest mean score, followed by ‘Infrastructure Facilities’ and ‘Institutional Repositories’. The least expected service was ‘Scholarly Communication Services’ which had the lowest mean score. The only service with significant differences between gender and qualifications was ‘Infrastructure Facilities’. In terms of challenges faced, the most noteworthy problems identified included inadequate funding for Article Processing Charges and limited access to computers in the library. Other problems included a lack of training in research support tools and ICT skills, lack of accessibility to library services from home, poor Internet connectivity, and lack of training/ consultation to use services. The library staff was reported to be helpful and supportive. The study provides insights into the expectations and problems of users in the context of LRSS. The study also highlights the imperative need for adequate funding for APCs and improved computer facilities, alongside targeted training initiatives for optimum use of research support tools and enhancing ICT skills to improve the efficacy of LRSS.

Knowledge Management

Suhasini Choudhury — 2024-04-04

Research in the KM field has been a point of attraction for innovation and sustainability. The need for research and the effort by the researchers are important to be analysed to know the overall status of contributions and contributors. The purpose of this paper is to identify trends in Knowledge management research and forecast future trends through bibliometric analysis. The study also aims to identify the highest contribution of articles by the authors, the institutions, the journals, and the countries. Microsoft Excel and VOSViewer software were used for the analysis of the data extracted from the Scopus database for the period 2003–2022. It found Bontis. N. of Canada stood out as the highest contributing author in KM research; the Hong Kong Polytechnic University of China proved to be the top contributing institution in the field; the Journal of Knowledge Management ranks first amongst the most contributing journals in the field; and the United States was the highest contributing country. Furthermore, the study found four clusters based on the co-occurrence of keywords. “Artificial Intelligence,” “Big Data,” and “knowledge hiding” are the budding areas in the field.

Citation Behaviour of Physics and Astronomy Researchers in the Western Himalayan Region

Muruli N — 2024-04-04

The study aims to examine the citation behaviour of Physics and Astronomy researchers from Indian central universities in the Western Himalayan region. By employing Bibliometrix and Biblioshiny packages in R Studio, an analysis of 13,065 cited sources was conducted using data from the Scopus database over a ten-year span (2012- 2021). The findings highlight a preference for influential journal articles and reviews, with an inclination towards articles authored by two or three individuals. These findings offer valuable insights for stakeholders including researchers, policymakers, and funders, to enhance research impact in the region. The study also draws attention to ‘undefined’ tags in bibliographic data and calls for refinement in defining metadata to enhance bibliographic data quality and reliability.

Assessing the Availability of Information Sources and Services During the COVID 19 Pandemic in University Libraries in Nigeria

Saturday Unwelegbemenwe Omeluzor — 2024-04-04

The emergence of COVID-19 pandemic hampered the availability of information sources and services in most academic institutions around the world. Making information available during major crisis reveals the long-standing position of the library in helping its patrons. This post COVID-19 study that took place between February 2020 and January 2021 investigated the availability of information sources and services during the COVID-19 pandemic in university libraries in Nigeria. Using a descriptive design, the study used 240 students who were purposely selected from 30 universities including federal, state and private universities in South-South geographical zone of Nigeria as sample. The study revealed that information sources such as: e-books, print journals, e-journals and electronic databases and services such as: Circulation, interlibrary loan, remote access, SDI, online reference services among others were available to the patrons in university libraries in Nigeria during the COVID-19 pandemic. The findings showed that the inhibiting factors against the availability of information sources and service in university libraries were poor telecommunication network, closure of some library sections, lack of preparation, unavailability of library policy on pandemic/disaster management and poor coordination among others. The study recommended some areas for improvement to ensure the availability of information sources and services to the library patrons during major crisis.

Program Wise Information Literacy Skills of Students

Raihanath Kadiri — 2024-04-04

The current study furthers the understanding of the Information Literacy (IL) competency skill levels between the health science and non-health science students in the United Arab Emirates. IL-HUMASS survey on information literacy questionnaire was partially adopted (17 categories) for surveying the IL competency skill levels between the Health and Non-Health students at College A. The questionnaire comprised four information competency categories: “Information Searching, “Information Evaluation, Information Processing/Application, and Information Dissemination and Communication”. The Mann-Whitney U test was used to test the hypotheses. The research findings revealed that among all participants the levels of Motivational Engagement (ME) in the four competence areas were higher, than their levels of Self-Efficacy (SE).Further, interestingly, students enrolled in non-health programs displayed higher levels of both ME and SE in all four categories. Additionally, there were significant variations in IL Self-Efficacy levels between the two programs across the categories. Besides, the application of Pinto’s IL-HUMASS survey instrument to a new user population has provided valuable insights. These insights highlight the importance of considering motivation and self-efficacy levels when designing information literacy programs, especially for health science students. This study is possibly the first in the UAE conducted on a global sample comprising 22 nationalities.

Analysing Library and Information Science Articles Using Topic Modeling Approaches

Debasis Majhi — 2024-04-04

Identifying trends in research through co-citation or content analysis of journal contents is quite a common practice in LIS research. In this study, however, we proposed the Latent Dirichlet Allocation (LDA), a popular topic-modeling approach for identifying research trends of published articles in three Scopus-indexed Indian LIS journals. A total of 1213 titles & their abstracts published between 2011 and 2022 have been considered. From these data, a corpus of frequently used 15 key phrases was identified from each journal using Count Vectorizer and then ten topics having higher coherence scores were extracted from each journal corpus using LDA techniques to understand to what extent these topics are different in these journals. The analysis of the study indicates that ‘Library users’ studies’ especially in academic libraries; and ‘bibliometric indicators for measuring research growth are a few common topics in these journals and, technological innovation; utilisation of electronic and print information resources; library management; or network analysis are some of the topics that are journal specific. From the t-SNE visualisation and pyLDAvis diagram, it was seen that the topics of DJLIT are significantly unique with discrete distributions than the other two journals. On analysing the growth of the top ten topics longitudinally, it was seen that research on digital libraries, analysing the global output, online search strategy, ranking universities, etc. are concurrent interests of research among researchers while academic library resources, including electronic resources and its use, open access are among diminishing research interests of authors. Since the topic-modeling approach can provide results devoid of bias, it can be used to identify research land scape longitudinally as well as obsolescence of topic in a domain.

Integrating Artificial Intelligence in Academic Libraries

Mallikarjuna C — 2024-04-04

This article presents a literature review on integrating artificial intelligence (AI) in academic libraries, focusing on the transformative impact of AI-based tools and services on library management, resource utilisation, and research experience. While AI offers promising solutions to increase efficiency and effectiveness, the review identifies several challenges and concerns that need to be addressed, such as ethical and privacy considerations, staff training and development, and a user-centered approach. To integrate AI successfully, libraries must collaborate with professionals, researchers, and policymakers and adopt a continuing education approach to AI. Overcoming resistance to technological change, communicating efforts, and engaging staff are essential for libraries to leverage AI’s potential benefits and enhance their services and operations.