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In these times of no‐growth budgets and escalating service demands, the formation of partnerships between all types of higher education institutions — both public and private — is now a recognized survival strategy. Details the budget development in a partnership created through an agreement between a private distance‐education institution, Walden University, and a public research institution library, Indiana University Libraries. For the distance‐education university, the agreement's main advantage is a uniform program of access and delivery of research resources to its students during summer sessions held on the Indiana University Bloomington campus. For the research university library, the agreement offers the opportunity to develop an in‐house pilot program, with external funding, for offering distance education library support to its own students. Based on their experience of mutual benefit over the past three years, Walden University and Indiana University Libraries' administrators have transformed the goal of their inter‐institutional agreement from protection to proaction.

The purpose of this paper is to assess student perceptions of their engagement in tangible and intangible higher education services using the College Student Experiences Questionnaire (CSEQ).

The research draws on a random sample of students without disabilities and all students with disabilities in a public university in Qatar. Group comparison analysis is conducted to find differences between the two groups by adapting the CSEQ to assess student perceptions of engagement with the services.

The findings showed that students with disabilities were less satisfied with intangible services in learning systems. Students with and without disabilities felt that the campus facilities were below average; students with disabilities rated university services lower than students without. All students felt that the learning systems were above average, with higher ratings among students without disability.

Considerable work needs to be done in capacity and professional development with faculty to deal with learning and teaching methods with students with disabilities.

In general, this study compares students with disabilities with non-disabilities. Both groups confront barriers to access learning and to the assessment of their learning. They both were satisfied with services but with higher perceptions of engagement among those with non-disabilities. Higher education institutions must consider those services in unison to both groups treating both equally, recognizing that a discourse of differences may pit one group over another in infrastructure and the institutional services provided.

This study aims to show the effectiveness and applicability of artificial intelligence applications in the measurement and evaluation of university services. Universities can gain competitive advantage through providing their students with quality services in various aspects, such as bookstores, dormitories, recreation centers as well as cafeterias. Among these facilities, university cafeterias are places where students spend a significant amount of time. Therefore, this study aims to integrate artificial intelligence application in the evaluation of university cafeteria services based on students' perceptions with two-stage structural equation modeling (SEM) and artificial neural network (ANN) approach.

An artificial intelligence based SEM-ANN hybrid approach was used to determine the factors that have significant influence on student satisfaction, sufficiency-of-services and likelihood-of-recommendation. Data were collected from 373 students through a face-to-face questionnaire. Initially, four service quality dimensions were attained through factor analysis. Then, hypotheses, which were determined via literature review, were tested through SEM-ANN hybrid approach.

Incorporating the results of SEM analysis into the ANN technique resulted in superior models with good prediction performance. Based on four ANN models created and ANN sensitivity analyses conducted, significant predictors of satisfaction, sufficiency, reliability and recommendation are determined and ranked.

Prior studies have assessed service quality using traditional techniques, whereas, this study integrates artificial intelligence in the assessment of higher-educational institutions' services quality. Also, as a distinction from previous studies, this study ranked importance levels of predictor variables through ANN sensitivity analysis.

This study aims to identify the librarians’ readiness to leverage artificial intelligence for sustainable competence development and smart library services.

This study used a quantitative research design for addressing the objectives. The population consisted of librarians from the public and private sector universities of Pakistan. The data were analyzed by using Smart PLS software.

The analysis consisted of two major parts: first the assessment of measurement model and second the structural equation modeling analysis. A significant positive impact of AI adoption was found on the implementation smart library services. Findings revealed that behavioral intention motivated librarians to adopt AI tools in university libraries for the delivery of smart library services.

We applied quantitative method to carry out the study while future authors may conduct a systematic literature review on the same topic for offering a broader outlook.

It has provided practical contributions by providing a baseline for management bodies to construct policies for the successful adoption of AI in libraries for sustainable competence development of practicing librarians and implementation of smart library services.

The study has social implications too as AI integrated library services prove fruitful for society and digitally skilled librarians play a vital role for the promotion of reading and research culture in society.

To the best of the authors’ knowledge, this is the first study on librarians’ readiness to leverage artificial intelligence for the enhancement of digital literacy skills, sustainable competence development and smart library services in the context of Pakistan.

This study aims to identify the effects of artificial intelligence (AI) on university libraries and to reveal challenges associated with the adoption of AI-powered applications in libraries.

A systematic literature review (SLR) was applied to address the study’s objectives. The 25 most relevant seminal studies published in Scopus- and Web of Science-indexed journals were selected to conduct the study.

Findings revealed that AI has strong positive effects on university libraries. These effects included efficiency and promotion of library products, innovative library services, alignment of library services with the fourth industrial revolution (4IR), collection management and user services and transformation of library systems. Results also manifested that skills and knowledge barriers, financial and resource constraints and resistance to change created challenges to adopt AI-based services in university libraries.

This study has added valuable literature to the existing body of knowledge by conducting SLR on the basis of 25 most relevant research articles published in cite score and impact factor journals. It has provided practical implications by offering recommendations to adopt AI in university libraries. The study is a benchmark for policymakers, AI applications developers, higher education bodies, government representatives, university administration and library leadership to devise effective strategies and methods for the efficient adoption of AI in libraries. The study has also provided a framework to adopt AI applications in library settings.

At the beginning of 2010, new higher education legislation was enacted in Finland which caused several university mergers. In addition to that, a self-directed type of organizational restructuring had been going on in Finnish academic libraries. This chapter describes the merger and the restructuring processes of the libraries in three universities, namely Helsinki University, University of Eastern Finland, and the University of Turku. Using a case study approach, the chapter describes different approaches used in the merger process, particularly how to manage service integration, resource reallocation and planning, and implementing new types of services. Performance measures and indicators are among the tools used to assess the successes, particularly in direct services to library users. Although this is based on Finnish experiences, it is helpful for other libraries considering, or engaging in, similar mergers, because of the given examples and tools for the actions needed for new structures and services. Also described are the challenges that three libraries met in the strategic work of reshaping of their organizational structures. While this chapter addresses library mergers only in universities, the methods and tools used will provide models for other types of libraries and nonprofit organizations.

This study aims to identify the status of virtual library system development in university libraries. It also attempted to examine the availability of virtual library services and reveal the challenges being faced by university librarians of Punjab province, Pakistan in providing virtual library services.

The study used a quantitative research method by using a questionnaire to address the study’s objectives. In total, 62 university libraries in Punjab province, Pakistan were the population of the study. A purposive sampling technique was applied to gather the required data from the respondents.

Results showed that most of the study’s respondents are well aware of the potential benefits of virtual library systems in universities for the delivery of innovative smart services to library patrons. The libraries delivered different virtual library services to meet the diverse needs of the library patrons. The respondents faced the challenges of funding, expertise, technical support, leadership, strategic planning and training to adopt virtual library systems and services in university libraries.

The study has provided a framework based on empirical findings of the study to efficiently adopt virtual library systems and services in university libraries for the delivery of smart services to end users. It has provided pertinent theoretical and practical implications.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.