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This study aims to assess the digital literacy of African library and information science (LIS) professionals. Digital literacy skills are required in the digital library environment.

Relevant literature was reviewed on this topic; previous study questionnaires, various university LIS curriculum, content analysis and job advertising were used for preparing the survey questionnaire. This study used an ex post facto research design. Purposive sampling was adopted in this study, and data were collected from Google form by sharing the research questionnaire by hyperlink which was undertaken from March 15, 2022 to May 24, 2022. The data were collected by a structured questionnaire. A four-point Likert scale was used to measure how library professionals acquired digital literacy skills. Content analysis of more than 500 job vacancies over the past three years (2018–2022) of library job advertisements was taken randomly.

This study’s findings show that the majority of the good at basic level of digital literacy skills at the same time have less in advanced digital literacy skills. The finding of this study shows the majority of them have to upgrade and learn about advanced digital literacy skills.

This study recommends adopting a new syllabus and updating a LIS curriculum based on the library’s technological development. Furthermore, this study’s potential result suggests more practical classes instead of theoretical study and it is useful to the library schools, associations, MOOC providers and lifelong learners.

This study is conducted with 102 African library professionals from 13 countries. This study discusses futuristic digital literacy skills and basic literacy skills. This study is beneficial to those who are preparing a new curriculum in LIS fields.

The aim of this study was to determine data literacy (DL) training needs of researchers at South African public universities. The outcome of this study would assist librarians and researchers in developing a DL training programme which addressed identified needs.

A survey research method was used to gather data from researchers at these universities by convenience. Online questionnaires were distributed to public universities through library directors for further distribution to researchers.

The results indicate low levels of DL training at the respondent South African public universities with most researchers indicating that they had not received any formal training on DL. A few researchers indicated that they would welcome DL training.

This study was exploratory in nature and data was received from eight universities, which is not representative of all the 26 public universities in South Africa. Nonetheless, the low DL confirmed by the majority in the realised sample is indicative of the need to further investigate the subject.

Librarians and research support personnel should collaborate on the development of DL training courses, workshops and materials used by researchers at institutions of higher learning to enhance DLs on campus.

This study may be novel in South Africa in investigating the DL training needs of researchers at several universities and contributes to the growing body of literature on research data management

Data librarianship, or data-driven librarianship, is the combination of information science, data science and e-science fields and is gaining gradual importance in the library and information science (LIS) profession. Hence, this study investigates the data librarianship core concepts (motivational factors, challenges, skills and appropriate training platforms) to learn and successfully launch data librarianship services.

A survey method was used and the data were collected through online questionnaire. Purposive sampling method was applied and 132 responses were received with 76 respondents from the public and 56 from the private sector universities of Pakistan. The statistical package for social sciences (SPSS version 25) was used, and descriptive and inferential statistics were applied to analyzed the data.

LIS professionals understand the importance of data-driven library services and perceive that such services are helpful in evolving the image of the library, helping with the establishment of institutional data repositories/data banks, developing data resources and services for library patrons and especially researchers, and receiving appreciation and acknowledgment from the higher authorities. The major challenges that emerged from the data were: missing data policies, limited training opportunities for data librarianship roles, no additional financial benefits, lack of infrastructure and systems, lack of organizational support for the initiation of data-driven services, and lack of skills, knowledge and expertise. Data librarianship is in its early stages in Pakistan, and consequently, the LIS professionals are lacking basic, advanced and technical data-driven skills.

The policy, theoretical and practical implications describe an immediate need for framing data policies. Such policies will help the libraries or any other relevant entities to store the data and assign metadata and documentation in such a way that it is easy to retrieve and reusable for others.

This is the first study in Pakistan to investigate the perceptions of LIS professionals about data librarianship core concepts: motivational factors, challenges, skills and appropriate training platforms to grasp data-driven skills and successfully launch library services.

This study explored the different artificial intelligence (AI) applications used in academic libraries and the key factors and impediments related to their implementation.

The author applied quantitative research methods in the form of a questionnaire, using both open and closed questions. A total of 472 valid questionnaires were received from academic librarians.

The author sought responses from librarians who had implemented AI applications and those who had not, identifying the types of AI applications implemented, key factors relating to their implementation, and impediments to promoting AI. Gaps were identified between the level of support for AI applications and the negative effect of the impediments. Furthermore, the more extensive the individual and organizational knowledge activities performed by the librarians and libraries held, the more positive the attitude was librarians' attitude toward AI applications in their libraries. However, librarians recognized that AI applications are inevitable, but indicated that the difficulties of in execution have hampered the adoption of AI.

The sample data were collected in Taiwan; therefore, the data may only represent the views of Taiwanese academic librarians on AI applications. The results of this study may not apply to librarians worldwide; however, they may provide a useful reference.

The results revealed the top four AI applications that libraries would most likely implement in the near future. Therefore, AI application developers and suppliers can prioritize the promotion of these products for to academic libraries. This study revealed that funding and costs related to AI implementation were discovered to be key factors relating to implementing AI applications. Some impediments to the implementation of AI applications relate to technological problems. Several librarians suggested that managers should invest more resources at an early stage rather than reducing cutting back on human resources initially. Although worries regarding privacy and ethics were mentioned expressed by some respondents, most academic librarians did not regard these to be major concerns.

This study provides the perspectives of librarians who have implemented AI applications and of those who have not. In addition, it explores the advantages and disadvantages of AI applications, and the level of support for and impact of AI applications and promotions. This study also included a gap analysis. Moreover, individual and organizational knowledge activity scales were adopted to examine AI awareness and the perceptions of academic librarians.

This paper aims to investigate AI literacy proficiency among LIS researchers in Association of Southeast Asian Nations (ASEAN) countries. This study also aims to assess current proficiency levels, identify challenges and gaps, explore recommendations for improving skills and examine how researchers stay updated on AI advancements.

A structured questionnaire was used to collect data, then analysed using appropriate statistical methods.

Most respondents showed proficiency in various aspects of AI literacy for LIS research. However, some aspects, such as understanding AI concepts, ethical considerations and programming skills, had lower proficiency levels. Factors influencing AI literacy included limited resources for enhancement, lack of awareness and insufficient AI-related courses in LIS education.

This study presents an original assessment of AI literacy proficiency among LIS researchers in ASEAN countries, shedding light on the current state of AI knowledge in the region’s library and information science field. The findings identify specific gaps and challenges, offering valuable insights for policymakers, educators and stakeholders seeking to enhance AI literacy skills in this context.

By examining types of literacies taught by public libraries and the modes through which these programs were offered, this study aims to explore how public libraries might integrate data literacy training for the general public into existing library educational programs.

This study examined programs offered in 30 US public libraries during 2019 and 2020 to better understand types of literacy education announced to the public through library website listings and Facebook Events pages.

While public libraries offered educational programs in literacy areas ranging from basic reading and writing to technology, vocational skills, health literacy and more, data literacy training was not widely offered. However, this study identified many already-existing programs highly compatible for integrating with data literacy training.

This study offered new insights into both the literacies taught in public library programs as well as ways for public libraries to integrate data literacy training into existing educational programming, in order to better provide data literacy education for the general public.

This article advocates that privacy literacy research and praxis mobilize people toward changing the technological and social conditions that discipline subjects toward advancing institutional, rather than community, goals.

This article analyzes theory and prior work on datafication, privacy, data literacy, privacy literacy and critical literacy to provide a vision for future privacy literacy research and praxis.

This article (1) explains why privacy is a valuable rallying point around which people can resist datafication, (2) locates privacy literacy within data literacy, (3) identifies three ways that current research and praxis have conceptualized privacy literacy (i.e. as knowledge, as a process of critical thinking and as a practice of enacting information flows) and offers a shared purpose to animate privacy literacy research and praxis toward social change and (4) explains how critical literacy can help privacy literacy scholars and practitioners orient their research and praxis toward changing the conditions that create privacy concerns.

This article uniquely synthesizes existing scholarship on data literacy, privacy literacy and critical literacy to provide a vision for how privacy literacy research and praxis can go beyond improving individual understanding and toward enacting social change.

This study aims to determine the extent of virtual reality (VR)/augmented reality (AR) adoption in university libraries in Indonesia and identify librarians’ views of library readiness. The assessment centers on two crucial dimensions: library readiness, gauged by commitment and efficacy, and librarian readiness, appraised through cognitive and affective aspects.

The research features a survey-based quantitative method. A sample of 259 librarians from university libraries, all members of the Indonesian Higher Education Library Forum, responded to the online survey.

Indonesian university libraries, especially in Central Java, express strong interest in VR/AR despite low current adoption. Librarians believe in their commitment and efficacy for adoption, with improvements needed in budget procurement and human resources. Librarians are optimistic about innovating academic activities with VR/AR, despite concerns about collaboration, data governance and human resource insecurity. The research underscores the simultaneous influence of librarians’ and libraries’ readiness on VR/AR adoption, emphasizing their interconnectedness and mutual support within library management.

There are practical implications for library institutions in Indonesia in terms of understanding the attendant opportunities and challenges when preparing organizational ecosystems. These findings provide a broad overview of VR/AR adoption in university libraries in Indonesia and contribute to understanding the specific needs and interests of universities in Indonesia considering adopting VR/AR. In addition to preparing adequate infrastructure, libraries should ensure the availability of adequate human resources.

In the Indonesian context, this study, to the best of the authors’ knowledge, makes the first attempt to examine the librarian’s view as part of library management to face the dilemmas that may arise during the adoption of VR/AR despite university libraries’ commitment and efficacy to enable this technology. This research also identifies librarians’ cognitive and affective readiness as individual characteristics and resources able to influence adequate adoption.

With the technological innovation dominating higher education, the university libraries, as physical spaces, continue to play a crucial role in connecting students with knowledge. The emergence of the “Learning Commons” serves as a catalyst in the design of library spaces, renewing libraries’ roles and missions and making them popular to Millennials for new reasons. This study aims to record Greek librarians' views on the current situation in Greek academic libraries regarding physical space design, services provided and the existence of the “Learning Commons” model characteristics.

This study was conducted through an online survey structured questionnaire (closed-ended, five-point Likert scale, multiple-choice and statements questions). This study population comprised librarians working in 37 academic institutions and colleges. The collected data were subjected to descriptive statistical analysis. The research questions were answered using variables creation and the tests, t-test, ANOVA and Kruskal–Wallis. The groups of questions were tested for their reliability using the Cronbach's alpha coefficient.

In total, 186 librarians responded to this study. The responses revealed that participants were willing and ready to accept and support a different approach to academic library physical spaces use, according to the shared learning spaces model. However, this requires changes in the organization's vision, further growth and evolution. Although recently most Greek academic libraries have made significant progress in developing their services to function as information and digital hubs, they do not function as learning collaborative hubs, since the “Learning Commons” model is not reflected in their buildings.

The creation of new academic libraries according to the “common” model is a rapidly evolving issue that affects Greek libraries. This paper highlights the characteristics of libraries that should be adopted in the modern era, the new roles of academic librarians and the importance of an appropriate design of the physical space to achieve optimal learning outcomes. At the same time, this paper is one of the few that illustrates librarians', and not users', perceptions of these changes. This paper is a good research example, and the methodology for measuring this type of context could be used by other future research approaches in other countries.

The evolution from emerging technologies to smart libraries is thoroughly analyzed thematically and bibliometrically in this research study, spanning 2013 through 2022. Finding and analyzing the significant changes, patterns and trends in the subject as they are represented in academic papers is the goal of this research.

Using bibliometric methodologies, this study gathered and examined a large corpus of research papers, conference papers and related material from several academic databases.

Starting with Artificial Intelligence (AI), the Internet of Things (IoT), Big Data (BD), Augmentation Reality/Virtual Reality and Blockchain Technology (BT), the study discusses the advent of new technologies and their effects on libraries. Using bibliometric analysis, this study looks at the evolution of publications over time, the geographic distribution of research and the most active institutions and writers in the area. A thematic analysis is also carried out to pinpoint the critical areas of study and trends in emerging technologies and smart libraries. Some emerging themes are information retrieval, personalized recommendations, intelligent data analytics, connected library spaces, real-time information access, augmented reality/virtual reality applications in libraries and strategies, digital literacy and inclusivity.

This study offers a thorough overview of the research environment by combining bibliometric and thematic analysis, illustrating the development of theories and concepts during the last ten years. The results of this study helps in understanding the trends and future research directions in emerging technologies and smart libraries. This study is an excellent source of information for academics, practitioners and policymakers involved in developing and applying cutting-edge technology in library environments.