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This paper aims to familiarize students and instructors in the field of library and information science (LIS) with some features and benefits of mnemonics in the context of learning artificial intelligence (AI).

A narrative review among literature exists on mnemonics, AI and library services.

In the field of LIS, the use of mnemonics can be highly beneficial for both students and instructors. Mnemonics can aid in the retention and recall of complex concepts, classification systems, information retrieval strategies, jargon learning and library memory that are fundamental to the field. In the field of AI, mnemonics can be a valuable tool for students learning complex algorithms, concepts and techniques. Mnemonics can help students remember key components of AI models, understand the underlying principles and apply them effectively in problem-solving.

To the best of the authors’ knowledge, this paper is among the first ones exploring the use of mnemonics for learning subject areas related to artificial intelligence in LIS.

The purpose of this article is to examine the structure and determine the MDA framework for use in the development and design of library websites. The topic of innovation in libraries is frequently discussed; thus, we have tried to offer techniques for innovation in website design for libraries.

This study compares these two approaches to determine if the mechanical, dynamic and aesthetic (MDA) framework can also be used to create library websites. Each of the MDA framework’s three components was assessed for their applicability to the development of a library website.

When building a library website, three crucial characteristics that must be carefully taken into account are, among other things, being supporting and safety-oriented; adaptable and accessible; and aesthetically pleasing to the user. Studies have also revealed several additional criteria that may be regarded as success factors for library websites. In addition, there is also a framework for creating touch- and gesture-based interactions. It is also a method for understanding the creation and playing of video games. The acronym MDA stands for the three components of its structure: mechanical, dynamic and aesthetic.

Many kinds of library websites exist, including those for academic, public, school and special libraries. So far, models and approaches for designing pages have been offered for each of these library website categories.

Criteria importance through intercriteria correlation (CRITIC) is a multicriteria decision-making method that helps compute the weights of decision criteria by considering the contrast intensity and conflicting relationships inherent in each criterion. This study aims to conduct a bibliometric analysis to provide quantitative insights into the research trends concerning the CRITIC method.

The study assembled bibliographic data from 220 CRITIC-based publications retrieved from the Scopus database. Subsequently, the gathered data were processed using Tableau software, using specific functions within the software to format them to suit the analysis requirements. Following data preparation, a visual analysis was then conducted based on five parameters that can characterize the research evolutions in CRITIC. These parameters include research productivity across years, dominant countries, dominant researchers, dominant publication outlets and popular research topics. Various visualization techniques, such as combined charts, geographical maps and word clouds, were used to draw conclusions for each parameter.

The study discovered a burgeoning trend in CRITIC research in recent years, particularly from 2019 onwards. The COVID-19 pandemic unexpectedly contributed to this upward trend, prompting remarkable collaboration among researchers who used diverse decision-making methods, such as CRITIC, to provide data-driven solutions for addressing COVID-19 challenges. Additionally, the study identified China and Iran as the leading countries in CRITIC research, with notable researchers such as Xindong Peng and Mehdi Keshavarz-Ghorabaee predominantly affiliated with institutions in these countries. Keyword analysis indicated the application of CRITIC across various trending topics, including Industry 4.0 and environmental sustainability.

No bibliometric analyses have been conducted on the CRITIC method in the literature since its inception in 1995, leaving the scientific community clueless about its research trends. To the best of the author’s knowledge, this study serves as the first bibliometric analysis, providing quantitative evidence on the research trends associated with the CRITIC method. By shedding light on these trends, this study enables the scientific community, including researchers and funding agencies, to make informed decisions regarding future research endeavors involving the CRITIC method.

The study aims to analyze the synergy of artificial intelligence (AI), with scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields.

By conducting a systematic literature review, our aim is to explore the potential of AI in revolutionizing the methods used to measure and analyze scholarly communication, identify emerging research trends and evaluate the impact of scientific publications. To achieve this, we implemented a comprehensive search strategy across reputable databases such as ProQuest, IEEE Explore, EBSCO, Web of Science and Scopus. Our search encompassed articles published from January 1, 2000, to September 2022, resulting in a thorough review of 61 relevant articles.

(1) Regarding scientometrics, the application of AI yields various distinct advantages, such as conducting analyses of publications, citations, research impact prediction, collaboration, research trend analysis and knowledge mapping, in a more objective and reliable framework. (2) In terms of webometrics, AI algorithms are able to enhance web crawling and data collection, web link analysis, web content analysis, social media analysis, web impact analysis and recommender systems. (3) Moreover, automation of data collection, analysis of citations, disambiguation of authors, analysis of co-authorship networks, assessment of research impact, text mining and recommender systems are considered as the potential of AI integration in the field of bibliometrics.

This study covers the particularly new benefits and potential of AI-enhanced scientometrics, webometrics and bibliometrics to highlight the significant prospects of the synergy of this integration through AI.

This study aims to investigate the connection between digital literacy and women’s empowerment in the rural Himachal Pradesh. It explores how improved digital skills contribute to increased empowerment among women with a specific focus on the role of education in enhancing digital literacy.

This study included 250 rural participants who completed structured questionnaires. Analytical tools, including independent-sample t-tests and partial least squares structural equation modeling, were applied to the data to gain insights into the relationship between digital literacy and women’s empowerment.

This study revealed a significant positive link between digital literacy and women’s empowerment in the rural Himachal Pradesh context. Education has emerged as a key factor that influences women’s digital skills and empowerment levels.

This research adds novelty by examining the digital literacy–women’s empowerment nexus in rural Himachal Pradesh and emphasizing the impact of education. The combination of statistical methods offers a robust approach to understanding this relationship and underscores the importance of digital inclusion and education for gender equality and women’s progress.