The Journal of Indian Library Association (JILA) is an official organ of Indian Library Association (ILA). This journal covers all different aspects of Library & Information Science. JILA as an official organ of ILA started since 1965. The journal is issued as a quarterly publication. JILA is a peer reviewed journal that publishes the high quality research articles on the subject. JILA has been Included in the UGC -CARE approved Journal
As we march towards an era of Artificial Intelligence (AI), Scholarly publishing, research support management and ethical philosophy needs to be re-looked into to ensure fair use in academic and research and compliance of higher education standards. University Grants Commission aims to reinforce trust in doctoral scholarship at a time when AI-generated content is becoming increasingly common right from literature reviews to drafting and scholarly publishing. This reflects the regulator's broader push to preserve the quality and authenticity of higher education research in India. As per a COPE (Committee on Publication Ethics) guideline that joins organizations such as WAME and JAMA network, states that the use of Artificial Intelligence tools such as ChatGPT or large language models in research publications is expanding rapidly and it cannot be listed as an author. I am pleased to inform that the Scopus-indexed - Journal of Indian Library Association (JILA) has taken care of AI policies and ethical guidelines through stringent plagiarism tool. Further, the JILA has adopted the recent guidelines issued by UGC amid growing concerns that the rapid adoption of AI-powered writing tools could compromise the originality and credibility of academic research.
Copyright (c) 2026 Journal of Indian Library Association https://creativecommons.org/licenses/by-nc-nd/4.0
Impact of NEP 2020 on University Library Services
The paper covers objectives of NEP 2020; attempts have been made to elaborate significance of university libraries before and after NEP 2020. By reviewing literature efforts were made to identify 21st century customers, collection, emerging trends in university library services, manpower needed and infrastructure required to fulfil objectives of NEP 2020. NEP – 2020 recognizes university libraries as centers for learning and research. NEP – 2020 is a road map for digital libraries. There is an urgent need to establish „World Class Digital Reference Library‟. Twenty-first century users are diverse, covering Great generation to Gen-Z, ranging from students and researchers to entrepreneurs and global collaborators. NEP 2020 presupposes that university libraries should develop collection needed by the customers, use AI & open-access strategies, multilingual resources and research driven content to serve users effectively. With AI, digital repositories, block chain security, virtual reality and personalized user experiences, NEP 2020 encourages university libraries to be smart, inclusive and technology driven knowledge centers. that support lifelong learning, research, and innovation. Librarians, by developing & updating 21st century skills, can function as a change agent NEP 2020 has not given detailed list of infrastructure but considering expectations of the policy relevant infrastructure will be needed.
AWARENESS AND USE OF E-JOURNALS AMONG SOCIAL SCIENCE PhD SCHOLARS OF KASHMIR UNIVERSITY
The purpose of this paper is to determine the level of awareness regarding e-journals among social science PhD scholars of Kashmir University. The paper also aims to highlight the challenges faced by research scholars in the usage of e-journals. The present study was conducted using a Google questionnaire that was circulated among PhD scholars of Kashmir University. A total sample of 80 scholars was randomly chosen from the faculty of social sciences. Only 63 scholars responded to the survey and therefore the response rate recorded was 78.75%. A well-structured questionnaire was administered among research scholars to collect the primary information about the level of awareness, use of e-journals, challenges as well as other associated factors, keeping in view the objectives of the study. The findings clearly reveal that all PhD scholars (100%) at Kashmir University are aware of e-journals. Most of them (42.85%) have learned about e-journals from their fellow scholars. Laptops and mobile phones are the prime access points for e-journals. The majority of them (58.73%) use e-journals two to three times a week mainly for the purpose of research. Google is the most widely used search engine for locating information electronically. Keyword is the most popular search strategy for searching e-journals among research scholars. E-journals are preferred by the majority of scholars (85.71%) compared to print journals. However, it is found that slow internet, restricted access to e-journals, and lack of skills are the main challenges that would deter scholars from efficiently using e journals. Additionally, a lack of knowledge about advanced searching techniques further prevents proper and full usage of e-journals. The study suggests that orientation sessions should be organized from time to time. Apart from this, faster internet facilities and access to more e-journals should be sought.
Copyright (c) 2023 Journal of Indian Library Association https://creativecommons.org/licenses/by-nc-nd/4.0
USE OF BLOG, WIKI, AND FACEBOOK: EXPLORING LIS STUDENTS’ ATTITUDES AND PERCEPTIONS
Blog, Wiki, and Facebook are relatively easy to use, help in content creation, and greatly benefited for team collaboration & community engagement. Alternately, we call these technologies as web 2.0, social software (SSW). This study aims to find out awareness, use, perception and acceptance of selected social software (SSW) tools as a medium of learning by Library &Information Science students‘ of Odisha, India. Structured questionnaires wereused to collect data from a sample of 402 students of LISin fiveUniversities of Odisha, India.The study found that LIS students of Odisha, India are mostly aware of SSW tools. Frequently use of these tools indicates the need for inclusion of these tools in teaching and learning process. The study concludes with the consensus on using SSW tools for gathering & sharing study contents with colleagues, and process beyond formal teaching.
EXPLORING AUTHORSHIP PATTERN AND GROWTH OF SCHOLARLY CONTRIBUTIONS OF CSIR-CSMCRI, BHAVNAGAR DURING 2011 2020: A BIBLIOMETRIC STUDY
The use and calculation of scientific indicators like number of papers, growth rate of publications, impact factor, h-index, g-index, m- index etc., are now increasingly becoming popular. Calculation of these indicators requires large datafrom bibliographic datasets, requires different methodologies like scientometrics and bibliometrics for analyzing such datasets. To exploring authorship pattern growth of scholarly research of CSIR- CSMCRI, Bhavnagar the present study has consulted 1741 bibliographic records of the institute published during the period 2011 to 2020 indexed in SCOPUS database. The results showed that the research publications and citations received of CSMCRI have increased during the periods. The study shows 91.67% of research documents are published as article in the journal. Software‘s like MS-Excel, R-package and VOS viewer are applied for analysis of datasets. The study has counted Mean RGR (P) ‗0.27‘; Mean Dt (P) ‗3.51‘ which shows the growth rate of publications. The average degree of collaboration for the periods is ‗1‘ and the total of 36534 citations were received for the periods with Mean RGR (C) ‗0.20 and Mean Dt (C) ‗9.25‘.
SCIENTOMETRIC ANALYSIS OF FACULTY PUBLICATIONS OF CENTRAL UNIVERSITIES IN THE WESTERN HIMALAYAN REGION OF INDIA
The current analysis is an effort to assess the research productivity of central universities in India's Western Himalayan region based on research articles indexed by the Scopus database between 2012 and 2021. Various scientometric metrics have been applied to understand the research performance, significant research areas, preferred journals for research communication, highly cited sources, and articles. The data analysis shows that scholarly publications and international collaborations have significantly increased during this period.
SCIENTOMETRIC ANALYSIS OF RESEARCH CONTRIBUTIONS OF MAHARSHI DAYANAND UNIVERSITY (ROHTAK) FROM 2011-2021
The present paper assesses the research growth and impact of Maharshi Dayanand University (MDU), Rohtak, concerning its academic research growth from 2011 to 2021 through the Scopus database. This study provides insight into the university‘s annual growth of publications, the impact of citations, national and international collaborations, distribution of documents within a subject area, preferred sources for research communication, the pattern of authorship, and highly cited papers during the period. The keywords co-occurrence entails the main themes of research among various disciplines. The study findings are helpful in understanding the knowledge structures and publication trends for the academicians and stakeholders.
WEB PRESENCE OF NATIONAL LEVEL DIVYANGJAN INSTITUTES OF INDIA: A WEBOMETRIC STUDY
The present study makes a specialty of the web presence and visibility of websites of National level Divyangjan Institutes of India. Using some webometric indicators like total web-page count, inlinks, outlinks, Google scholars, number of rich files, bounce rate, etc. The paper attempts to depict the web presence of said institutional websites. All concerning data has been retrieved by the popular search engine Google. Said institutions are ranked with Web Impact Factor (WIF) and Web Indicators for Science, Technology and Innovation Research (WISER) value. The result shows that National Institute for Locomotor Disabilities (NILD) is highest ranked WIF (inlink) i.e., 0.48, due to its webpages' minimal value (766) depending on the quantity of the available inlinks (364). National Institute for Empowerment of Persons with Multiple Disabilities (NIEPMD) (8.65) being the highest webpages (3430) occupied the top ranked institution according to WISER. Alexa rank is also used to show the usability of websites and Wayback machine tool is used toretrieve domain registration data and page domain authority data retrieved from Free Domain SEO Analysis Tool – Moz.
PRESENCE OF DIGITAL DIVIDE IN INTERNET USAGE AMONG STUDENTS IN HIGHER EDUCATION
The present study attempts to find out the digital divide present among students of the University of Lucknow, Lucknow. The main objectives are to assess the digital divide among rural and urban students in terms of frequency, training and skills, and purpose of using the internet. To fulfil these objectives, a survey method was adopted and a structured questionnaire was used to collect data. A sample of 100 students was collected comprising 50 students with rural background and 50 with an urban background. The findings revealed that there is an association between Internet usage and residential background of the students, concluding there exists a digital divide in internet use. This study also makes some suggestions to bridge the digital divide among students.
COGNITIVE ASSESSMENT IN THE ONLINE LEARNING ENVIRONMENT DURING COVID 19 PANDEMIC: A CASE STUDY OF SLIS STAKEHOLDERS
In the current era, the Covid 19 has been a widely spreading pandemic to the entire world. Where all organizations, sectors, and companies, even though mankind too suffered. The Indians had been much bearded from it. Entire India had been locked down except for some important services i.e., hospitals and their relevant professionals. In this situation, academic organizations choose to catch the hand of ICT instead of stopping their progress; because the pause situation of teaching-learning denotes the future and development of India would be reversed one step downward. Hence, this decision proved good for all the academic organizations and learners who agreed to shake the hand of ICT and web technology. Since Dr. Minaxi A P the course curriculum of LIS covered many ICT tools and techniques in the syllabus, the SLIS-CUG also followed the same. They had continued the teaching-learning process of professional courses through various ICT and Web technology, which is completed when the learner inculcates knowledge by understanding the concept and its applications. Therefore, the cognitive assessment had been conducted to identify the realm status of learners in understanding the subject, concept, and its application in the practice of the library profession. In this study, a total of 27 learners and 3 faculties had responded. Overall, all respondents agreed that ICT and web technology can be supplemented with some extended subject concepts.
Does the Culture as Context paradigm Hold in Knowledge Intensive Organizations
A workplace runs smoother when people feel aligned with how things are done day to day -especially places like factories or offices where smarts and info matter most. In fields such as library work or data handling, many assume shared ways of thinking help teams swap knowhow, deliver better results, and grow together over time. Yet this idea mostly floats around in theory books and interview studies; real number-crunching proof remains thin. New light comes from responses gathered from 373 staff at a major Indian cement plant known for complex processes and clear rules. Researchers checked if certain cultural traits - measured via Quinn and Rohrbaugh’s model from the early eighties - add anything new when predicting team performance, personal fulfilment at work, and alignment with company aims. Even though it took place inside heavy industry, the logic behind it fits any setting built on brains rather than brawn - say, archives, research hubs, or digital repositories. Even after checking how well people manage talent, the way a workplace feels adds hardly anything extra - just under 3 percent at most. In two out of three cases, that tiny boost does not even register as meaningful in standard tests. Among half a dozen cultural traits studied, only strong leadership stood out each time, making small but clear differences. When splitting results by gender, age, education, or job rank, almost nothing changed in how culture was seen. This flat pattern suggests everyone experiences the environment much alike - not shaped by personal background but molded uniformly from above. Surprising outcomes shake up the idea that culture always works best as background scenery across fields, pushing scholars in library studies to rethink what they once took for granted. Out of this comes another view: people shape their sense of workplace culture through actual HR experiences rather than treating culture as an invisible driver behind everything - this new lens nudges thinking forward on how we approach leadership, methods, and staff systems in libraries. Not built on library numbers alone, the work draws on insights from a similar high-2knowledge environment, offering fresh angles for LIS professionals to explore when testing ideas closer to home. Starts with how groups behave inside workplaces shapes what workers bring forward. Different ways of handling skilled people show up when results matter most. Performance closely aligns with shared habits across companies focused on learning. Places that rely heavily on information work face unique hurdles in staying strong over time. Libraries operate under pressures similar to those of larger systems, despite their size. Frameworks that measure conflict help explain why some cultures win out. Outside forces often shape internal rules more than leaders admit. Studies comparing regions reveal patterns missed by single. location analysis. Countries growing fast challenge old assumptions about structure fitting function.
Research Publications on Kumbh Mela: A Bibliometric and Altmetric Analysis
This study investigates the research landscape of “Kumbh Mela” using bibliometric and altmetric analyses. The Scopus database was used to identify documents related to “Kumbh Mela”, while the Altmetric Explorer database was employed to retrieve the corresponding altmetric data of the documents. For data analysis, MS Excel 2021, VOSviewer, Biblioshiny, and JAMOVI were utilised. Bibliometric analysis revealed a growing trend in research output, with significant peaks in 2020 and 2024. The subject-wise distribution highlighted Medicine, Social Sciences, and Engineering as the most dominant fields. Author’s keyword analysis revealed interdisciplinary research themes, including public health, environmental science, urban planning, and religious tourism. Collaboration networks identified key authors, institutions, and funding agencies, with the “Indian Institute of Science” emerging as the most prolific contributor. International collaboration was evident, particularly between India and nations such as the United States, the United Kingdom, and Saudi Arabia. Altmetric analysis revealed a moderate public engagement, with social media (especially X) playing a dominant role. News articles, blogs, and Wikipedia citations also contributed, though policy mentions were minimal. Spearman’s correlation test revealed a significant positive association between AAS and citation count, indicating a link between altmetric attention and scholarly impact. This study underscores the interdisciplinary and international scope of “Kumbh Mela” research while highlighting the role of altmetrics in measuring public engagement. Scholars can use the findings of this study to identify well-explored areas, research gaps, active institutions, and leading authors in the field. Funding agencies can utilise this information to identify research focus areas and allocate funds to appropriate institutions and scholars accordingly.
Statistical Data and Metadata Exchange (SDMX) in Academic Libraries
Statistical Data and Metadata Exchange (SDMX) is a standard developed to ease the exchange of data and metadata among international statisticians. It develops, maintains and upholds standards and guidelines that are accepted across nations, accompanied by implementation tools to ease the exchange of statistical data and metadata with the help of advanced information technology. The study focuses on analysing current literature instead of conducting experimental or empirical analysis by adopting a conceptual and narrative review approach. The study uses two major scholarly databases- Google Scholar and Scopus. Precise search phrases were used to find high-quality data through a systematic methodology using Scopus on ‘SDMX’. This allows for focused analysis of SDMX in academic libraries and research contexts and aligns with the study objectives. Google Scholar was considered the initial step for checking the depth, relevance and validity of the research, but refinement beyond these initial steps is mandatory. This article aims to highlight the technology behind SDMX and review the literature on how it can be used in academic libraries in the context of research and the scientific community. Additionally, the study highlights the SDMX mechanisms in comparison with DDI, DCAT and Dublin Core. It finds out how various uses of SDMX in libraries and outlines the quality improvements that can be achieved through its implementation. The study has made efforts to understand interoperability and data standards in libraries in the context of use and applications of SDMX.
Awareness and Utilization of Research Support Services in Forestry Academic Libraries in India: An Empirical Study
The purpose of this paper is to help increase the awareness and use of research support services in academic institutions and to find out the usefulness of research support services of forestry research and education institutions students in India in hopes of improving the quality of research. A total of 457 Undergraduate, Postgraduate, Postgraduate Diploma, and Doctor of Philosophy students, as well as faculty and scientists randomly participated in this study of forestry research and education institutions in India. A survey method was used to assemble primary data through a questionnaire. The Analysis of Variance test is used in the context of the analysis. The finding of the study revealed that the student’s students are aware of the services that support the research-related library services in forestry research and education institutions in India but do not have a thorough insight. The results of the survey showed that the mean score for the service "Where could I publish" is 3.142, indicating that respondents use this service occasionally. The paper describes how much students at forestry research, and education institutions in India are aware of, and using research support services, and it provides suggestions for enhancing library services use.
The Dewey Decimal Classification in the 21st Century: A Study Based on the Transformation in the Last Two and A Half Decades
The universe of subjects is becoming more dynamic. A classification scheme may work well for a variety of subjects at one time, but it may not be effective later. Because the universe of subjects keeps changing, it is essential to regularly update the classification scheme to keep up with this growth. To do this, the scheme must be established within an institution. The scheme's success will mainly depend on how well the institution manages it. The Dewey Decimal Classification (DDC) system is trying to manage its coverage to cope up with the ever-evolving knowledge landscape. It incorporates new topics and refines existing ones, ensuring its relevance in our rapidly changing world. With an impressive 22 revisions, the DDC has consistently demonstrated its commitment to staying current and responsive to user needs. As we embark on the 23rd revision, it presents a unique opportunity to deepen our understanding of this vital tool. This study aims to highlight the transformative journey of the DDC over the current century, showcasing its vital role in the organisation of knowledge.
Exploring Research Visibility through Altmetrics and Correlation Analysis of Top 100 DOAJ Articles
This conducted on freely available academic papers that are listed in the Directory of Open Access Journals (DOAJ). Information was taken from the Dimensions.ai system and included the best 100 papers based on their Altmetric Attention Score (AAS). After getting the information, it was cleaned up and structured using OpenRefine and Microsoft Excel, and then different analyses were done, such as making tables, charts, and looking at connections. Chart 1 shows where the attention came from by platform, and it shows that X (formerly Twitter) is the main platform for academic attention. The top ten papers with the highest AAS numbers are shown in Chart 2. Also, Table 1 shows how each attention source relates to the total AAS. Chart 3 shows how the papers are spread out over the years, showing that the most papers in the set were released in 2021. Lastly, Chart 4 shows the most important journals that contributed, with Scientific Reports being the top journal for articles that were talked about a lot.
Awareness and Usage of AI Reliance among Urban and Rural Undergraduates: A Comparative Study in Tripura
This study addresses such a vital research gap in understanding how urban and rural undergraduate students in Tripura, the state of northeastern India differs in their awareness, usage patterns, and perceptions of artificial intelligence (AI) tools for academic purposes. Introducing a comparative quantitative approach with a structured questionnaire, this study was administered to 276 students (151 urban, 125 rural) across different colleges in Tripura by using stratified random sampling technique. Data were analyzed using descriptive statistics and inferential methods including Chi-square tests and U tests to validate observed differences. The objectives of this study are mainly to assess how much urban and rural students have knowledge about artificial intelligence, its intended applications, and the difficulties they face. Important findings reveal that while both rural and urban Undergraduate student of Tripura use AI for foundational academic works such as finding information, making assignments, etc.; urban students surpass their rural counterparts in advanced AI applications such as document summarization, translation, and project ideation. The rural students have highlighted to report markedly higher challenges including insufficient AI expertise, technical knowledge gaps, and unreliable internet access and express stronger concern that AI hinders creative thinking. But the analysis shows that there are no significant urban and rural differences emerged in perceived benefits like enhanced writing skills or faster learning. It is also found that students from rural areas visit the library more frequently than those from urban areas. Although the majority of respondents acknowledge the potential of AI tools, there is still a lack of total trust in these technologies.
Next-Generation Digital Libraries: Integrating Emerging Technologies for Intelligent, Sustainable, and Accessible Knowledge Preservation
Digital libraries are moving to be more dynamic knowledge networks and not static collections of digital resources. This paper presents a next-gen digital library design, one that incorporates new technologies Artificial Intelligence (AI), generative restoration, hybrid OCR-large language model (LLM) extraction, knowledge graphs, blockchain-based provenance, edge computing and accessibility API, to facilitate intelligent, sustainable and ethically controlled knowledge preservation. An architecture based on a modular, production-centric design is created with seven layers that include edge capture and IoT-enabled quality control, diffusion-based repairing, layout-aware OCR with retrieval-augmented LLM repairing, knowledge graph creation with authority reconciliation, blockchain based provenance management, OAIS compliant repository preservation and intelligent access layer in order to support semantic search and multimodal accessibility. The model is tested with the help of publicly available historical data and artificial degraded datasets. Character error rate (CER), metadata precision/recall, knowledge graph connecting accuracy, processing throughput, energy estimates and user-centered usability metrics are all performance metrics. The experimental evidence proves that restoration together with OCR-LLM correction achieves lower rates of character errors by up to 35-50% in damaged documents than OCR baselines. Metadata extraction with automated systems had a maximum accuracy of 91% on clean scans and integration of knowledge graphs enhanced the effectiveness of discovery. Edge-first computing minimized the cloud computation requirements and enhanced operation efficiency. Significant improvements in perceived legibility of restored documents, in average time to complete manual corrections, and in trust in the system were found when viewing the restored documents with the transparent provenance visualization interface, compared to when using a structured SUS questionnaire with a panel of librarians, digital humanities researchers and information science professionals in a simulated pilot evaluation. This work is a contrast to fragmented historical solutions: it is a proposed solution in the form of an unparalleled, auditable and sustainability-conscious digitization pipeline, balancing between automation and governance and human control. The proposed assessment system, architectural model and provenance-based design offer viable advice to agglomerate and institutional libraries in search of scalable, ethical and technology-enhanced digital preservation.
RECOMMENDATION SYSTEM IN LIBRARIES: A SYSTEMATIC LITERATURE REVIEW USING PRISMA BASED ON SCOPUS DATABASE
The study highlights the development and multidisciplinary reach of the topic by offering a thorough content analysis of research articles on recommendation systems for libraries. The study finds patterns, challenges, and potential avenues for future research by methodically examining peer-reviewed publications that are listed in the Scopus database. The results of this study indicate that the number of articles published in the fields of computer science, engineering, and mathematics has increased significantly due to technological developments. The most critical research areas identified by this study are managing sparse data, increasing scalability, resolving privacy concerns, and increasing the diversity of algorithms. It was found that recommendation systems can be further improved through the use of combining hybrid methods, their application of advanced ML algorithms and techniques, and cross-domain applications. Although this research is limited to a single language publishing, English and only includes data from Scopus, it has been able to identify emerging trends related to the development of future recommendation systems for library services and provide directions for researchers and professionals interested in developing novel, user-centered recommendation systems for libraries.
The Role of Green Libraries in Promoting SDG 12
The role of green libraries in Sustainable Development Goal (SDG) 12 is examined in this article, aiming at Responsible Consumption and Production and considering how libraries can mitigate ecological footprints, promote sustainability, and change human behaviour. The paper sets the intersectional relationship between library science and environment into consideration, as it positions libraries not simply as centres of knowledge but also as promoters for sustainable resource management and community awareness. The study adopted a descriptive-exploratory research design with a mixed-methods approach. Primary data collection was put to use in surveys, semi-structured interviews with library professionals, and observations in a set of select academic and public libraries in India. Secondary data extracted from policy documents, institutional reports, and international case studies were analyzed. The methodology then culminated in the assessment of four dimensions: (i) eco-friendly infrastructure and energy-efficient design, (ii) waste reduction and digital resource optimization, (iii) green ICT and sustainable procurement policies, and (iv) awareness programs on environmental responsibility. The barriers to environmental sustainability in the library are multiple and complex. Green libraries contribute to sustainable consumption by minimizing paper waste through the efficient use of digital resources, by constructing energy-efficient buildings, and while following green procurement. Such practices therefore remain patchy across all institutions due to budget constraints, lack of awareness, and, most importantly, the absence of formal policy guidelines. Libraries, which run extended awareness programs about sustainable consumption with their users, are strongly aligned with SDG 12, given that they generate behavioural change among students, researchers, and the community at large. The successful practices identified in this report include solar-powered buildings, recycling schemes, and selected environmental literacy collections that can be, in some guise, replicated elsewhere. This study proposes and applies a Library SDG 12 Performance Framework and Index (L-SDG12) that translates green library practices into measurable sustainability indicators. The research moves beyond descriptive accounts by offering a structured method to evaluate how libraries contribute to Responsible Consumption and Production in the Indian context.
Authorship pattern and applicability of Lotka’s law in heart transplantation research: A bibliometric review using R-tool
The study aimed to analyse author productivity, authorship trends, and the applicability of Lotka's law in heart transplantation research from 1994 to 2023, and to propose guidance for future research. A total of 49791 publications on heart transplantation retrieved by the Scopus database were used for the study. This paper uses Bibliometrix and Biblioshiny to analyse and report relevant data. Based on the bibliometric analysis, we identified descriptive statistics for the overall dataset, the most prolific authors with high dominance, metrics for highly influential authors, and the distribution of authorship patterns in accordance with Lotka's law. The study outcomes reveal that the 'n' (-2.22137), constant 'C' (0.00169), and CV (0.0480552) play an important role in the predictive value of Lotka's law estimation. The value of Dmax (0.6398) is computed from the cumulative frequency of observed and expected authors, and the Chi-square (X2=1259.019) value is also included to strengthen Lotka's law. Among the 114945 authors, the distribution of authorship is as follows: 64.376% of authors published one article; 14.530% of authors published two; 6.431% of authors published three; and 10.814% of authors published up to ten articles. However, the proportions should be 60.793%, 15.198%, 6.755%, and 11.471%, respectively, as per Lotka's law for the current dataset. The study attempts to validate the authorship patterns in heart transplantation research using the Kolmogorov-Smirnov (K-S) and Chi-square tests. It found that the goodness-of-fit tests rejected the null hypothesis; hence, the inverse-square of Lotka did not fit the heart transplantation dataset.
Evaluating Contrasting Research of Academic Institutions through AI and Deep Learning Model: A Use Case of Scite
Objective The study endeavours to analyse the context of the citations using Scite. In addition to analysing citation statements related to the research productivity of selected organisations, the study also investigates the relationship between Lifetime SI and total cites, total cites and contrasting, total cites and supporting, and contrasting and supporting using Scite. Methodology The data was obtained from Scite's organisation-level citation data, including organisation names, Lifetime Scite Index (SI), total citations, supporting citations, mentioning citations, and contradicting citations. Scite is a web tool that utilises AI and deep learning models. It helps researchers to better understand the context, location, and classification of citation statements. The data was processed using Jamovi. The Pearson's correlation test was used to examine the relationship between Lifetime SI and total citations, total citations and contrasting, total citations and supporting, as well as contrasting and supporting. Findings A positive correlation was observed between lifetime SI (LSI) and total cites (TC) (r= 0.145). Contrasting (C) and Total Cites (TC) (r = 0.984), Contrasting (C) and Supporting (S) (r = 0.988), and Total Cites (TC) and Supporting (S) (r = 0.995) exhibited a strong positive correlation. A significant and strong positive relationship was found between the parameters constituting citation statements. Originality This study analyses the contextual nature of citations using Scite. Specifically, it seeks to examine citation statements related to the research productivity of selected organisations.
Artificial Intelligence and Academic Integrity Implications for the Future of Education and Research
Artificial Intelligence in education and research has advanced quickly in recent years. The technical advancements and applications in education depend on an awareness of research trends and developments. In addition to various other areas, education and research could undergo significant change as a result of artificial Intelligence. The collection of literature examining the use of "Artificial Intelligence (AI)" in both education and research has significantly increased. The fast evolution of learning has drawn significant attention to artificial Intelligence in education. What does this signify for kids, then? Does the integration of AI into children's education cause any changes for them? All education for children could be entirely transformed by artificial Intelligence. AI is now being used in many schools across the nation, and it is essential to understand how it can help educators and learners. The entire study focuses on how AI tools are assisting learners and educators in education and research.
TERMINOLOGICAL PROGRESSION AND RESEARCH TRENDS IN INFORMATION LITERACIES: A SCIENTOMETRIC STUDY
Driven by technological advancements, information literacy has evolved significantly, leading to the emergence of various specialized literacies. Focusing on the context of Library and Information Science (LIS), the study aims to provide a deeper understanding of the terminological progression and research trends related to information literacy by presenting the volume, frequency, and distribution of publications focusing on various specialized literacies included within the broader concept of information literacy. A total of 2423 papers on various literacies published between 1989 and 2023 and indexed by Web of Science, were analyzed using Bibexcel and Excel spreadsheets. Through a comprehensive analysis of scientific publications, the study highlights how specific terminologies have emerged, evolved, gained prominence, or gradually declined over time, thereby mapping the thematic development and shifting research focus within the LIS domain. The findings will contribute to a better understanding of the progression of these literacies by highlighting the trends and collaborative efforts in this field, and providing a foundation for objective-oriented user education programs and future research.
Copyright (c) 2025 Journal of Indian Library Association https://creativecommons.org/licenses/by-nc-nd/4.0
From Pages to Progress: A Study on the Importance of Reading Habits for College Students’ Personal and Academic Development
The study addresses the concerning decline in reading habits among college students, with clear implications for intellectual development and academic achievement. The study emphasizes the importance of strong reading practices, aiming to contribute effectively to ongoing discussions about how to boost learning outcomes and create a more effective educational environment. This research paper adopts a dual-methodology approach quantitative and qualitative analyse. The study emphasises on the holistic development of students, considering not only academic outcomes but also the cultivation of critical thinking skills and cognitive abilities. The study carried out among the college students of Kokrajhar town especially undergraduate Bodoland University Students. A sample survey of 100 students of Girls’ College, Kokrajhar, Science College, Kokrajhar and Kokrajhar Govt. College has been carried for the study. The findings of this research illuminate a strong correlation between consistent reading habits and enhanced cognitive skills, critical thinking capabilities, and improved academic performance among college students.
LEVERAGING SOCIAL MEDIA PLATFORMS FOR LIBRARY SERVICES: A CONJOINT ANALYSIS OF LIBRARY USERS’ PREFERENCES
The primary objective of this study is to determine the preferences of college library users affiliated with Punyashlok Ahilya Devi Holkar Solapur University, Solapur, Maharashtra, regarding the use of social media platforms to access the information services provided by their college libraries. This study employed the conjoint analysis method to identify the most preferred attributes of social media platforms that are deemed significant for information retrieval by library users. The five attributes chosen include Social Media Platform, Delivery Mechanism, Information Extension, Messenger, and Interaction. Using SPSS software, a total of 192 profiles were generated, and from these, sixteen profiles were chosen for the responders. A survey was created and sent using Google Forms, and a total of 151 individuals completed the survey. The research findings are presented through the Model Summary Table, Coefficient Table, Part Worth Utility Table, and Relative Importance of Attributes. The study examined the relative importance of each attribute's choices and found that all attributes are substantially different, indicating that library customers are clear about their choices. Additionally, the study observed that the library users preferred prerecorded videos with basic information. As well as prefers subject experts over library staff, and prefers interactivity during information seeking. This study recommends that social media channels should be heavily used by college libraries in order to better serve their patrons. According to the readers' preferences, library patrons anticipate information from professionals in YouTube videos.
Correlating Social Media Habits with Academic Achievement
The digital connectivity has radically rearranged the topography of undergraduate education in India, but its overall impact on student achievement remains a source of controversy in the academic community. The current study focuses on the interconnection between social media usage and academic performance in 402 undergraduate students enrolled in colleges under Assam University, Silchar, especially in the North-Eastern context of India, a field where limited scholarship exists. The study operationalized three main variables using a structured cross-sectional survey, including daily social media engagement (V7), a ten-question perceived-distraction composite (V22.1–V22.10), and a fourteen-question academic functioning index (Q8.1–Q8.14). The inquiry was conducted based on four research objectives, namely, to profile the social media behaviors of students, to measure perceived academic distraction, to establish the direct correlational relationship between social media use and academic achievement, and finally, to model the joint predictive value of intensity of use and distraction on academic functioning. The analysis consisted of Pearson correlation and ordinary least squares multiple regression. In contradiction to the existing premise of undeniable negative effects of increased social media use, a positive, but statistically insignificant, correlation was found between daily social media time and academic functioning (r = + 0.13, p = .05), whilst perceived distraction was not associated with academic outcomes (r = -0.02). In the regression model, social media time was found to have a weak but significant positive relationship to academic functioning (b = 0.0094, p=.008), but distraction did not add any value either (b= -0.0012, p=.93). The model explained 1.8 percent of academic functioning (R² = 0.018, F(2, 399) = 3.66, p = .027). These results criticize binary discourses that reduce social media use to academic damage and highlight the importance of context-sensitive and purpose-distinct digital literacy training models, especially in library and information science strategies. The implications on the practical sense of academic librarians, curriculum designers, and higher-education policymakers in North-East India are depicted.
Employment landscape of LIS professionals in India: An analytical study
This paper will explore the current situation of recruitment of government jobs in India and will focus on Library and Information Science. It will study the trends in recruitment, the criteria of being recruited, the issues faced by the applicants and the evolving position of LIS professionals in government services. Through such analysis, the study aims at providing realizations of the effectiveness of the recruitment activities that occur and make recommendations on the recruitment process and the status of LIS professionals within the Indian government environment. This study aims to examine the available Job opportunities in the Indian market under the LIS framework during the period January 2021 to December 2022 and specifically the purpose of the study is to Inquire into job notifications published in the LIS portal.com in terms of trend using the different criteria such as the year and month of posting of the notification (i.e. frequency of postings), qualifications required, designations, the institution, the types of reservations, geographical region and/or states that the job feather is in operation. It also provides a detailed view of the job market of LIS and gets into the description and analysis of the transforming requirements and practices of professional people in this field.