Abstract This study aimed to predict the adoption of artificial intelligence in higher education through various factors by means of multiple regression analysis. The participants consisted of 401 male and female students from four universities in India. Data was collected through an online survey questionnaire. Stated hypotheses and models were tested and verified using a correlation matrix, Chi-Square goodness of fit, and multiple regression examination. The findings of the study showed that the factors of the first model predict a 65.4 % variance in the adoption of AI in higher education (AAIHE), the factors of the second model predict a 62.1 % variance in perceived usefulness, and the factors of the third model predict 38.5 % of variance in perceived ease of use (PEU), while the factors of the fourth model predict 55.8 % of variance in the adoption of AI in higher education (AAIHE). The findings of the study confirmed the stated hypotheses and supported the Theory of Reasoned Action (TRA), the Theory of Planned Behavior (TPB), and the Technology Acceptance Model (TAM). The study highlighted a need for higher education institutions to guarantee that AI-required infrastructures and tools are easily reached to students and have sufficient knowledge and skills to use them effectively.

Abstract The study investigates medical students’ use of information resources in the age of advanced technologies at, Redeemer’s University, Nigeria. A survey design was employed. The study population consisted of 564 basic medical students, 300–500 level in the Faculty of Basic Medical Science. Data were collected using an online questionnaire. Data were analysed using descriptive statistics. The findings revealed that many medical students used library to read their personal notebooks/textbooks. Those who used library information resources, used them to prepare for examinations, advance in knowledge, do their class assignments, and to write projects/research. Artificial intelligence served as the major new platform that the students used to source for information. Lack of adoption of new technologies by the library, poor Internet access and erratic power supply were the top identified barriers to the library information resources usage. The study concluded that medical students need to be encouraged to make use of library’s collections greatly. Based on the study’s findings, the researcher recommended that the university management, and the library should implement new technologies, provide stable Internet access and constant power supply in the university library.

Abstract This study explores the present status of IoT adoption and implementation in Information Resource Centres (IRCs) of Institutions of National Importance (INIs) in India. It aims to identify the extent of integration, commonly adopted technologies, and challenges faced, proposing insights for strategic implementation. A quantitative survey was conducted among IRC administrators from 18 selected INIs in South India, including Indian Institutes of Technology (IITs = 5), Indian Institutes of Management (IIMs = 4), Indian Institute of Science (IISc = 1), National Institutes of Technology (NITs = 5), and All India Institutes of Medical Sciences (AIIMS = 3). Data were collected via physical questionnaires and online Google Forms. Non-parametric statistical tests were used to analyze demographic patterns, the present status of IoT adoption and challenges across different institution types. The response rate was 88.88 % and reported some level of IoT adoption, reflecting positive institutional attitudes. Basic IoT services such as real-time notifications, QR codes, and Radio Frequency Identification (RFID) tracking display high and uniform implementation across IRCs with high mean values (≥4.00). In contrast, advanced applications like virtual/augmented realities, smart infrastructure, and mobile-based tools remain underutilized (≤M = 2.20), primarily due to cost, technical difficulty, and personnel limitations. The study also shows no statistically significant difference in IoT adoption levels across the various types of INIs ( p > 0.05), representing a consistent pattern in digital transformation efforts. Key challenges identified include financial constraints, data security concerns, limited strategic planning, and lack of trained personnel. The study focuses on selected INIs in South India and provides an inclusive snapshot of the IoT implementation landscape in top-tier academic libraries and suggests effective strategies for scaling up adoption efforts. This is an original and first study exclusively on different categories of premier academic institutions allied with the given status of INIs, to investigate the current status of IoT adoption and implementation in IRCs. This empirical indication contributes to guide policy, planning, and future research on smart library transformation.

Abstract This study examines the influence of social media use on teaching effectiveness among lecturers in library schools in Southwest Nigeria. Utilizing a descriptive survey research design, data were collected from 141 lecturers across 17 institutions using a structured questionnaire. The findings revealed that WhatsApp, Google+, and Facebook were the most commonly used social media tools among lecturers. Despite this, the extent of social media use for teaching was low, attributed to challenges such as inadequate training and limited technological integration. Social media platforms were primarily employed as alternative learning management systems, for sharing teaching materials and facilitating collaboration. A significant positive relationship was found between social media use and teaching effectiveness ( r = 0.856, p < 0.01), highlighting the potential of these tools to enhance instructional delivery and student engagement. The study concludes that effective use of social media can bolster teaching outcomes and recommends institutional support through training programmes to foster greater adoption of these tools in education.

Abstract This study explores the integration of sustainable practices within Nigerian academic libraries, with a particular focus on the perceptions and lived experiences of Library and Information Science (LIS) professionals. Using a qualitative phenomenological approach, the researchers conducted a focused group discussion involving six senior academics representing Nigeria’s six geopolitical zones. The insights gathered were translated into actionable strategies for enhancing library operations. Findings reveal a significant gap between theoretical awareness of green initiatives and their practical implementation, largely due to systemic challenges such as inadequate funding, unreliable infrastructure, and the absence of supportive institutional policies. Despite these constraints, participants affirmed the role of libraries as essential platforms for environmental education. Their resilience was reflected in proposed strategies, including the development of a national Green Library Charter and the introduction of targeted training programs. The study concludes that Nigerian LIS professionals hold considerable potential to drive ecological transformation. However, realising this potential requires strengthened policy frameworks and sustained capacity-building efforts to overcome existing barriers and embed sustainability into library operations. This research contributes meaningfully to the discourse on sustainable librarianship and institutional reform across Africa.

Abstract The rapid expansion of scholarly publishing has amplified the long-standing challenge of author name ambiguity in academic databases. This issue, manifesting as homonymy and synonymy, undermines the accuracy of bibliometric analyses, author-level metrics, and research evaluation systems. Author Name Disambiguation (AND) has thus emerged as a critical focus area in digital scholarship, with evolving strategies ranging from supervised machine learning and graph-based models to the adoption of persistent digital identifiers like ORCID. Despite notable advancements, significant challenges remain – particularly in linguistically diverse and underrepresented regions – where metadata inconsistencies, transliteration issues, and limited ORCID adoption exacerbate disambiguation errors. This study presents a comprehensive bibliometric analysis of 2,004 publications on AND from 2005 to 2024, sourced from the Scopus database. Using tools such as Biblioshiny and VOSviewer, the analysis identifies publication trends, leading authors and institutions, core sources, co-authorship networks, and thematic evolution in the field. Findings highlight increasing international collaboration, the dominance of computer science-driven methodologies, and the critical role of metadata quality and institutional frameworks. The study concludes with recommendations for inclusive, multilingual, and interoperable disambiguation systems, advocating for cross-disciplinary collaboration to ensure equitable author identification in global scholarly communication.

Abstract This study presents a comprehensive bibliometric analysis of data science research in Ecuador from 1985 to 2023, aiming to trace its academic development and highlight real-world applications. Rather than evaluating the direct integration of data science into national infrastructure, the study focuses on how the Ecuadorian scientific community has contributed to this field’s evolution. The analysis is divided into two stages: moderate growth (1985–2015) and exponential expansion (2016–2023), with a strong correlation between scientific output and legislative reforms such as the Organic Law of Higher Education and the Prometheus Project. Additionally, selected case studies illustrate how data science has been applied in healthcare, education, and business through technologies such as IBM Watson, Microsoft Azure, and machine learning models. This dual approach – bibliometric and applicative – sheds light on Ecuador’s trajectory in scientific production and technological adoption, offering insight into the nation’s research landscape and future innovation potential.

Abstract In a metric-driven publishing landscape, local journals often struggle for visibility and recognition, despite their potential to inform national policy. This study investigates the policy relevance of Australian journals using citation data from the Overton database. By comparing citations in policy documents to Australian-authored articles published in local versus international journals between 2010 and 2022, we find that local journals are more likely to be cited in policy documents, especially those related to Australia. However, the average number of citations per article is lower for local journals, which probably reflects their niche focus and limited international uptake. These findings illustrate the vital but undervalued role national journals play in supporting local scholarship and addressing context-specific issues. We argue that greater institutional support is needed to sustain national publishing ecosystems and prevent the marginalisation of research with local relevance.

Abstract This study presents a comprehensive analysis of the evolution of artificial intelligence (AI) research in Latin America during the period 2013–2023. The main objective is to examine trends in scientific production, international collaborations, and perceptions of AI in the region, highlighting both achievements and persistent challenges. The methodology employed included a bibliometric analysis based on data from the Web of Science database, complemented with advanced natural language processing techniques such as SciBERT, a pre-trained model specialized in the scientific domain. Text preprocessing, identification of named entities, and collaborative network analysis allowed for a detailed assessment of scientific production in AI, with a particular focus on digital transformation and its impact on health, sustainability, and public policy. The results indicate a significant growth of scientific production on AI in Latin America, with Brazil and Mexico as leaders in citation volume and impact. However, there has been a decrease in the average impact per article in recent years, suggesting an increase in the number of publications that does not necessarily translate into higher quality or international visibility. Areas such as health and sustainability emerge as prominent fields, although challenges persist in terms of infrastructure, funding, and the need for solid regulatory frameworks that promote the ethical use of AI. In conclusion, although AI research in Latin America has shown remarkable progress, a balanced approach that prioritizes the quality and visibility of publications is essential, as well as the implementation of public policies that foster strong international collaboration. This study underscores the importance of strengthening scientific infrastructure and collaborative networks to maximize the impact of AI in the region, contributing significantly to the sustainable and equitable development of Latin America.

Abstract The pesantren library plays a pivotal role as the center of the process of knowing within Islamic educational institutions, akin to the scriptorium in the medieval Catholic tradition. This article proposes a conceptual alternative and framework for reimagining the pesantren library as a dynamic space for the process of knowing, mediated through interactions between the pesantren community (santri, kiai, ustaz, and staff) and its literary collections, including kitab kuning, manuscripts, and archives. Unlike conventional libraries, which are often ephemeral and artificial in structure, the pesantren library integrates religious tradition, Islamic cosmology, and distinct social relations. This article examines two key dimensions: the modes of engagement between the pesantren community and its textual collections, and the internal relational dynamics and the influence of the strangers in transforming knowledge processes. Furthermore, the pesantren library is not merely a repository but an active epistemological site that generates new discourses.