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The goal of this review is to conduct an exploratory literature review on trauma-informed approaches in libraries to understand how librarians are discussing trauma-informed approaches and their integration into professional practice.

The author reviewed materials indexed in selected EBSCOHost databases. Included materials from selected EBSCOHost databases were available to the author in full text, in the English language and about trauma-informed approaches in libraries. Items were excluded from this review if they were a review of another work, a thesis or dissertation, or letters to or from the editor.

Twenty-five publications were included in this analysis. Publications included described approaches in school libraries, academic libraries and public libraries. Key topics are racial trauma-informed practices, trauma-informed teaching, resisting re-traumatization, social work and the effects of workplace trauma on the library workforce.

Trauma-informed approaches are gaining popularity in a variety of disciplines as the world copes with the turbulent events of recent years. The practical implications of this review are to explore the emergence of trauma-informed approaches in libraries to understand the current publishing landscape on this topic.

While librarians are writing about this approach and some are incorporating it into their practice, an analysis in the form of an exploratory literature review to summarize this work has not been done. Understanding how libraries are incorporating this trauma-awareness and trauma-informed principles into the work is crucial for identifying the future approach to library services.

As a part of doctoral study, this study aims to analyze research on library management models (LMMs) by conducting a systematic literature review (SLR).

A Preferred Reporting Items for Systematic Review and Mata-Analysis approach was used to search four databases. The search criteria included studies published in English until 2022, resulting 9,125 records. Out of these records, a total of 36 studies were selected for final analysis

The results show a positive attitude among researchers toward the development of LMM for libraries globally. The results depict that more than one-third (39%) of the target population was comprised of academic staff and students. The majority (91.76%) of studies were conducted using survey. Quantitative methods were predominant (89%) for LMMs. There were a significant number of studies conducted in 2016. The country-wise distribution shows the USA and China each contribute (20%) of the studies.

The findings of this research could assist policymakers and authorities in reconciling the LMMs applied in libraries for providing efficient access to information resources and services to end users.

To the best of the authors’ knowledge, this study is unique as no comprehensive study has been conducted on LMMs using the SLR method.

This study aimed to examine the relationship between customer relationship management (CRM)-based library services and head librarians' personal and academic variables. The status of CRM-based library services in the university libraries of Pakistan was also assessed.

A cross-sectional survey research design and quantitative research approach were applied. A structured questionnaire was emailed to the heads librarians of all university libraries recognized by the Higher Education Commission of Pakistan, and the response rate was 74 percent.

The analysis showed that a relationship to CRM-based library services was confirmed by the head librarians' age, academic qualification, professional experience, CRM awareness and training. Moreover, several CRM-based library services such as face-to-face interaction, current awareness services, orientation for new users, coordination through e-mail services, special goodwill to regular users, make telephone calls, complaints/suggestions boxes, online services, provision of a conducive learning environment, user education, selective dissemination of information services, users' participation in the collection and service development, ask a librarian services and users' help desk services were currently being practiced by the university libraries.

This study is a valuable resource for developing user-centered library services and culture. Findings are helpful in enhancing CRM applications in libraries and making their users satisfied and loyal. This study makes a significant contribution to the body of literature and knowledge on library CRM.

This study aims to discuss the case of the Università degli studi di Milano in the context of the COVID-19 pandemic as a point of departure for a new concept of digital library that is closer to users and publishers.

In this case study, processes and statistical data related to the library system and its usage and digitization at the Università degli studi di Milano during and immediately after the COVID-19 pandemic were analyzed with focus on users’ behavior regarding access to and usage of digital library. The outcome of the innovative measures implemented by the university was analyzed, including the procedures for purchasing bibliographic material, the organization of work in libraries, the management system of bibliographic resources and their monitoring, teaching, communication and the organization of knowledge in general.

The library system of the Università degli studi di Milano has responded effectively and efficiently to the pandemic crisis by creating a collaborative network with publishers, teachers and students. The awareness of the central role of the Digital Library as the primary place for accessing content, an environment of carefully curated resources and a place for individual and collaborative studies to support learning has increased.

This analysis charters the effects of the lockdown, which has accelerated digital transformation and created an innovative model of academic libraries more connected to community goals. This study points toward the good practices resulting from the COVID-19 experience: closer relationship between users and publishers, change in organizational flow and the relevance of communication in creating a closer connection with users.

This study aims to provide a systematic and complete knowledge map for use by researchers working in the field of research data. Additionally, the aim is to help them quickly understand the authors' collaboration characteristics, institutional collaboration characteristics, trending research topics, evolutionary trends and research frontiers of scholars from the perspective of library informatics.

The authors adopt the bibliometric method, and with the help of bibliometric analysis software CiteSpace and VOSviewer, quantitatively analyze the retrieved literature data. The analysis results are presented in the form of tables and visualization maps in this paper.

The research results from this study show that collaboration between scholars and institutions is weak. It also identified the current hotspots in the field of research data, these being: data literacy education, research data sharing, data integration management and joint library cataloguing and data research support services, among others. The important dimensions to consider for future research are the library's participation in a trans-organizational and trans-stage integration of research data, functional improvement of a research data sharing platform, practice of data literacy education methods and models, and improvement of research data service quality.

Previous literature reviews on research data are qualitative studies, while few are quantitative studies. Therefore, this paper uses quantitative research methods, such as bibliometrics, data mining and knowledge map, to reveal the research progress and trend systematically and intuitively on the research data topic based on published literature, and to provide a reference for the further study of this topic in the future.

This study proposes a framework for performance measurement of library consortia services by implementing the indicators listed in ISO 11620. The framework is validated by using real data from HEAL-Link, the national consortium of Greek academic and research libraries to calculate the indicators.

The paper reports on the related work regarding the services consortia offer to their members and the known methods and tools for assessing consortia services; the HEAL-Link case study, the aggregation and handling of data, is presented; ISO 11620 performance indicators for HEAL-Link services are calculated, and the results are discussed in terms of what was learnt- about the consortium, about measuring consortia services performance, and about the standard.

ISO 11620 could be used to measure performance for assessing consortia services. The performance indicators’ results reflect the two major events (mergers and COVID pandemic) that took place during the time of the study. ISO 11620 offers a basic insight that could be well complemented with other tools and standards.

The current study suggests that a widely accepted, easily applied, benchmarking ISO standard could be used to measure common consortia services’ performance, thus contributing to consortia assessment.

The purpose of this paper is to explore how robots are being used in libraries and information centers to transform their services and what are the future possibilities and trends in the application of robots in libraries.

Through a review of the literature, this paper analyzes various library websites and consults literature relating to the use of telepresence robots in libraries; the current application of robots in libraries has been enumerated along with case studies of libraries currently adopting telepresence robots.

With the practical examples of libraries using different types of robots, this study summarizes diverse activities of artificial intelligence-mediated robots. The uses of telepresence technology in libraries help to enhance library services, reach new users and provide a more inclusive and accessible library experience. Telepresence robots enhance the quality and accessibility of library services, expand library outreach and provide new opportunities for virtual engagement and programming. The application of telepresence robots in libraries can offer many benefits, but there are also several challenges that libraries must address to ensure successful implementation.

This study will motivate libraries and library professionals to take advantage of adopting telepresence robots in library and information center services and further accelerate library operations in the right direction.

This paper highlights how the introduction of telepresence robots in libraries improves services and productivity and creates a more engaging environment for the user group. The benefits and challenges of using robots in the library and the future trend in the application of telepresence robots in libraries are also discussed.

This study aims to explore the collaborative potential of Microsoft Copilot and Anthropic Claude AI as an assistive technology in education and library services. The research delves into technical architectures and various use cases for both tools, proposing integration strategies within educational and library environments. The paper also addresses challenges such as algorithmic bias, hallucination and data rights.

The study used a literature review approach combined with the proposal of integration strategies across education and library settings.

The collaborative framework between Copilot and Claude AI offers a comprehensive solution for transforming education and library services. The study identifies the seamless combination of real-time internet access, information retrieval and advanced comprehension features as key findings. In addition, challenges such as algorithmic bias and data rights are addressed, emphasizing the need for responsible AI governance, transparency and continuous improvement.

Contribute to the field by exploring the unique collaborative framework of Copilot and Claude AI in a specific context, emphasizing responsible AI governance and addressing existing gaps.

The objectives of the study were to identify the effects of blockchain technology (BT) on the university librarians, the impact of BT on the university library services and to reveal the challenges to adopt BT in the university libraries.

A systematic literature review was applied to address the objectives of the study. Around 25 studies published in peer-reviewed journals were selected to conduct the study.

The findings of the study revealed that blockchain technology (BT) has positive effects on the university librarians as it assists them in digital resources management, provision of integrated library services, effective records management and continued professional development. The study also displayed that BT has a positive impact on the university libraries through effective information management, user privacy, collaboration, technological innovation and access control. Results also revealed that technical issues, financial constraints, security problems, skill issues and sociocultural issues created challenges to adopt BT in the university libraries.

The study has offered theoretical implications for future investigators through the provision of innovative literature on the prospectus and challenges associated with blockchain in the context of librarianship. The study has also provided practical implications for management bodies by offering recommendations for the successful adoption of blockchain in the university libraries. Additionally, a framework has been developed to adopt BT successfully in the university libraries for the delivery of smart library services to library patrons.

This study explores the implementation of personalised information access, driven by machine learning, in Nigerian public libraries. The purpose of this paper is to address existing challenges, enhance the user experience and bridge the digital divide by leveraging advanced technologies.

This study assesses the current state of Nigerian public libraries, emphasising challenges such as underfunding and lack of technology adoption. It proposes the integration of machine learning to provide personalised recommendations, predictive analytics for collection development and improved information retrieval processes.

The findings underscore the transformative potential of machine learning in Nigerian public libraries, offering tailored services, optimising resource allocation and fostering inclusivity. Challenges, including financial constraints and ethical considerations, are acknowledged.

This study contributes to the literature by outlining strategies for responsible implementation and emphasising transparency, user consent and diversity. The research highlights future directions, anticipating advancements in recommendation systems and collaborative efforts for impactful solutions.