PurposeThis study investigates the level of artificial intelligence (AI) awareness among library leaders, practitioners and scientists of Indonesian academic libraries to elucidate the benefits of AI implementation and its necessary infrastructure and challenges.Design/methodology/approachThe study adopted a purposive sampling technique to select the 38 participants and thematic analysis to analyze the data, identifying eight themes: understanding of AI, AI adoption, benefits of AI, competencies needed to support AI, facilities to support AI, factors supporting AI adoption, AI-inhibiting factors and expectations of AI.FindingsDifferent viewpoints provided full awareness among library stakeholders and sufficient information to begin AI initiatives in Indonesian libraries as leaders, practitioners and scientists had a favorable, open and encouraging outlook on AI.Research limitations/implicationsThe study does not investigate variations in perspectives between the participants, but it examines their understanding of AI and elaborates the results into the concept of an intelligent library. Moreover, this study only uses samples from academic libraries.Practical implicationsLibraries can take these results into consideration before implementing AI, especially in technology and facilities, librarian competency with regard to AI and leadership roles in AI projects.Social implicationsLibrary boards and library associations can use this research as a source to create guidelines about AI implementation in academic libraries.Originality/valueThe study addresses the gap in the research on university libraries' readiness and awareness to implement AI, especially in developing countries.

Purpose The purpose of this paper is to analyse the publication of big data in the library from Scopus database by looking at the writing time period of the papers, author's country, the most frequently occurring keywords, the article theme, the journal publisher and the group of keywords in the big data article. The methodology used in this study is a quantitative approach by extracting data from Scopus database publications with the keywords “big data” and “library” in May 2019. The collected data was analysed using Voxviewer software to show the keywords or terms. The results of the study stated that articles on big data have appeared since 2012 and are increasing in number every year. The big data authors are mostly from China and America. Keywords that often appear are based on the results of terminology visualization are including, “big data”, “libraries”, “library”, “data handling”, “data mining”, “university libraries”, “digital libraries”, “academic libraries”, “big data applications” and “data management”. It can be concluded that the number of publications related to big data in the library is still small; there are still many gaps that need to be researched on the topic. The results of the research can be used by libraries in using big data for the development of library innovation. Design/methodology/approach The Scopus database was accessed on 24 May 2019 by using the keyword “big data” and “library” in the search box. The authors only include papers, which title contain of big data in library. There were 74 papers, however, 1 article was dropped because of it not meeting the criteria (affiliation and abstract were not available). The papers consist of journal articles, conference papers, book chapters, editorial and review. Then the data were extracted into excel and analysed as follows (by the year, by the author/s’s country, by the theme and by the publisher). Following that the collected data were analysed using VOX viewer software to see the relationship between big data terminology and library, terminology clustering, keywords that often appear, countries that publish big data, number of big data authors, year of publication and name of journals that publish big data and library articles (Alagu and Thanuskodi, 2019). Findings It can be concluded that the implementation of big data in libraries is still in an early stage, it is shown from the limited number of practical implementation of big data analytics in library. Not many libraries that use big data to support innovation and services since there were lack of librarian skills of big data analytics. The library manager’s view of big data is still not necessary to do. It is suggested for academic libraries to start their adoption of big data analytics to support library services especially research data. To do so, librarians can enhance their skills and knowledge by following some training in big data analytics or research data management. The information technology infrastructure also needs to be upgraded since big data need big IT capacity. Finally, the big data management policy should be made to ensure the implementation goes well. Originality/value This paper discovers the adoption and implementation of big data in library, many papers talk big data in business and technology context. This is offering new idea for many libraries especially academic library about the adoption of big data to support their services. They can adopt the big data analytics technology and technique that suitable for their library.

This study aims to investigate the implementation of artificial intelligence (AI) in libraries from 2011 to 2020. This study uses PRISMA guidelines to perform a systematic literature review (SLR). The articles were obtained mainly from the SCOPUS database, with Google Scholar as the supporting database. AI can easily be adopted in libraries, especially for technical services such as classification and cataloguing, library management such as staffing and decision-making, library services such as referencing and information service, and for information literacy. Successful AI adoption is, however, still debatable, because there are many requirements that need to be met, so that it can be inclusively adopted in libraries. There is a lack of research on the application of AI in libraries, especially in the context of its actual implementation. The results of this study offer insights on the implementation of AI in library support services.

PurposeThis study sought to analyze the correlation between artificial intelligence (AI) and libraries and examine whether there were any shifts in research trends related to these two topics during the coronavirus pandemic.Design/methodology/approachThe study gathered secondary data from the Scopus website using the keywords “AI,” “library” and “repository,” from 1993 to 2022. Data were re-analyzed using the bibliometric software VOSviewer to examine the trending country's keyword relations and appearance and Biblioshiny to study the publication metadata.FindingsIndex keywords, such as “human,” “deep learning,” “machine learning,” “surveys” and “open-source software,” became popular during 2020, being closely related to digital libraries. Additionally, the annual scientific production of papers increased significantly in 2021. Words related to data mining also had the most significant growth from 2019 to 2022 because of the importance of data mining for library services during the pandemic.Practical implicationsThis study provides insight for librarians for the implementation of AI to support repositories during the pandemic. Librarians can learn how to maximize the AI-based repository services in academic libraries during the pandemic. Furthermore, academic libraries can create policies for repository services using AI.Social implicationsThis study can lead researchers, academicians and practitioners in conducting research on AI in library repositories.Originality/valueAs research on AI and digital repositories remains limited, the study identifies themes and highlights the knowledge gap existing in the field.

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Purpose This paper aims to observe the province’s public library websites in Indonesia and to give some recommendation about knowledge portal website that can support the creation and invention of knowledge. Design/methodology/approach Data and information were gathered by observing library websites at the provincial level to see the digital survey and collection. This survey includes 34 province public library websites in the period from August 1 to 15, 2017. As the survey focuses on the availability of online digital collections, availability of digital services such as the user can have conversation with the librarian through a chat reference service, the availability of trusted external information sources, the availability of user forums for discussion. Findings The result of the research showed that the public library websites in Indonesia are still static (less interactive) and only give standard information about the library services, its operational hours, contact numbers and their collection. According to the result, it is recommended for every public library transforms its website into a knowledge portal website that can give a real and direct effect to the users, especially in the creation of innovation. Originality/value This paper also recommends a framework for a knowledge portal that includes e-resources, user needs, partnership, internet resources, integrated OPAC and collaboration. A survey on a library website is rarely conducted in Indonesia; therefore, this result will be beneficial for developing library websites.

Document management in an organization is very important because it is not only to facilitate the documents retrieval, but also to enhance the competitive power of the organization. For this purpose, Faculty of Vocational Studies Airlangga University applies electronic document management, called e-office. The e-office system is implemented to manage the existing administration system at Airlangga University, where users can create letters, make deliveries, receive letters, reply letters and make memos. This study aims to determine e-office utilization in the environment of the Faculty of Vocational Studies Airlangga University. Research method used is a descriptive quantitative approach. The target population in this research is Vocational Faculty Employee who has e-office account. The sampling technique used is a census technique or a full sample. The results show that not all e-office account owners have a habit of accessing e-office every day. The most done activity when accessing e-office are reading and printing mail. E-office users believe that using this system can be a solution to the problem of limited storage space and says it is easier to control than before e-office exist. The most accessed information using e-office is student information and the obstacle faced is lack of training for e-office users.

Purpose This paper aims to explore the existence of Metaverse or 3D virtual libraries and how they use Metaverse to expand library services. Design/methodology/approach The authors use literature to search projects and research papers that discuss the metaverse library. They also did observations on metaverse libraries. Findings There are some virtual realities or metaverse platforms that a library or virtual community can use to build their 3D virtual world. Some libraries already create a virtual world library or metaverse library. However, those initiatives are still in the prototype stage and are used for exhibitions and projects. Originality/value This paper overviews and builds a simple understanding of the metaverse library. The value of the paper is giving motivation when building the metaverse library. This initiative shows that big hi-tech companies do not dominate Metaverse.