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The purpose of this study is to examine the impact of educational service quality (ESQ) on student academic performance via the mediating role of student satisfaction.

To serve the study’s purpose, the study adopted a quantitative research approach. Three public universities representing 30% of the ten public universities located in the Southern part of Ethiopia participated in the study. Questionnaires were the main tools for gathering data. The adapted questionnaire, consisting of 116 items was administered to 400 randomly selected regular undergraduate graduating class students. The quantitative data collected via questionnaire were analyzed using descriptive and advanced inferential statistics.

The quantitative findings revealed that there is a statistically positive association between overall education service quality and students’ satisfaction (r = 0.712). The findings proved that the facets of education service quality accounted for 71.2% of the variations in students’ satisfaction in the universities. The quantitative findings further showed that the education service quality has a statistically indirect effect on students’ academic performance via the mediating role of students’ satisfaction (test statistic = 31.5311573, std. error = 0.00122536 and p-value = 0). The findings further confirmed that the overall education service quality accounted for 12.7% of the variations in students’ academic performance via student satisfaction in the universities.

The present study was conducted in public universities located in the Southern part of Ethiopia. The findings and conclusions of the study may not be generalizable to all Ethiopian public universities. Future researchers and scholars should conduct their study in all Ethiopian public universities by taking a representative sample from the Ethiopian public universities.

The present finding suggests that an improvement in ESQ leads to students’ satisfaction and that could contribute to boosting their academic performance. The findings of the present may help the practitioners who measure higher education service quality by providing how the provision of ESQ indirectly influences the student’s academic performance in the universities.

The findings of this study confirmed that the facets of ESQ are associated with students’ satisfaction and this, in turn, indirectly influences their academic performance. Student academic performance is one of the key indicators of quality education, and it has its influences on the social, political and economic development of a country. The findings of the present research provide valuable insights to higher education management bodies, higher quality assurance agencies and the Federal Ministry of Education to learn the indirect effect of ESQ on students’ academic performance and take necessary measures to improve the Ethiopian higher education quality.

The contributions of ESQ in the higher education sector are enormous. However, the existing service quality literature in higher education mainly focuses on the interrelation among service quality, student satisfaction, loyalty and behavioral intentions. Little is known about the indirect influence of ESQ on student academic performance (one of the key indicators of quality education), principally in Ethiopian higher education, the place of current research. The present study showed the indirect impact of ESQ on student academic performance in Ethiopian public universities. The study, therefore, suggests that university management bodies should actively monitor the quality of their services and commit themselves to boosting students’ learning outcomes.

The aim of this study is to examine the relationship between the determinants of student loyalty, i.e. service quality, e-service quality and university image in open and distance learning (ODL) based on the theory of reasoned action, in more systematic approach. This study also examines university's image role as a mediator on the relationship between service quality and e-service quality towards student loyalty.

This paper develops an integrative conceptual framework along with propositions by integrating comprehensive literature, in the field of service quality, e-service quality, university image and student loyalty. Through the review of detail literature and based theory of reasoned action (TRA), it is proposed that service quality, e-service quality and university image would be meaningful attributes towards student loyalty. In addition, it is also contended that university image would mediate the relationship between service quality and e-service quality towards students’ loyalty.

This paper provides an integrative conceptual framework on service quality, e-service quality, university image and students loyalty in open and distance learning (ODL) context.

None of the models presented in the literature explore the mediation of university image on the relationship between service quality and e-service quality towards student loyalty as the most recent research on the subject envisages.

This study aims to develop an assessment scale for university service quality (university SQ) and examine University Service Quality assessment model (UNIQUAL) of higher education during the pandemic.

Two studies applied a mixed-method design to develop and validate the UNIQUAL scale. In-depth interviews and literature reviews were conducted to refine the initial dimensions and items of UNIQUAL in Study 1. Item analysis, EFA and CFA were then conducted to purify item refinement, scale refinement, purification and validation in Study 2. Finally, a confirmed UNIQUAL model was analyzed via partial least squares structural equation modeling (PLS-SEM) using Smart-PLS 4.0.

The research confirms the four-factor structure of UNIQUAL, with a total of 16 items, to be a valid and reliable scale for the assessment of the service quality (SQ) of universities. Having adopted the bias-corrected and accelerated (BCa) bootstrap approach to study 5,000 subsamples from 27 countries, the authors found “responsiveness” and “empathy” to be significantly associated and have positive relationships with students' satisfaction with university SQ. Furthermore, university SQ and satisfaction were mediated by “health and safety” concerns.

The newly developed UNIQUAL scale would be of value to educators and authorities of higher education to assess the SQ of their universities to enhance the effectiveness of student learning. The improvement in satisfaction with higher education's SQ ultimately helps in retaining both international and local students amidst concerns about traveling and studying during the pandemic.

COVID-19 has affected the private and public sectors worldwide. Millions of students have been affected by schools being shut down and substituted with distance-learning programs. Thus, the assessment of the quality of university services has become an important support mechanism for retaining the sustainability of higher education.

The UNIQUAL scale provides a conceptual model and validates an assessment tool. The research hypotheses confirm the relationship between university SQ and satisfaction from the perspective of international students.

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 analyze the effectiveness and efficiency of research-based community service programs in Indonesia that used government funds in 2017–2021.

The design of this research is a quantitative research method using a data envelopment analysis to evaluate 370 leading universities in Indonesia. Furthermore, six analytical models were considered to compare effectiveness and efficiency between universities. It involved two resource (budget and staff academic involved), three output (intellectual property, prototype and publication) and three outcome variables (economic impact, social impact and capacity building).

The findings showed that several universities are considered necessary, with great potential to increase output and outcome efficiency in community involvement. The study mapped and divided the position of 370 universities for additional information. The effectiveness aspect provides another perspective in assessing the performance of tertiary institutions in Indonesia and can be an option for evaluating research performance to improve the quality of output.

The authors use data from research and community service management information systems used, both the resources used and the results. Efficiency and effectiveness of 370 universities were compared in this study, including comparing their position on the previous assessment with the assessment of the results of this study. Approach to the concept of Mandl et al. (2008) regarding the relationship between input, output and outcome as the main component of the indicators, the authors apply to analyze efficiency and effectiveness.

Improving service quality, student satisfaction and student loyalty is important to higher education institutions’ sustainable growth. The objectives of this study are a twofold: first, the study seeks to determine the dimensions of higher education service quality with a specific focus on Vietnam. Second, it examines how the service quality dimensions impact student satisfaction and student loyalty, with the moderating role of the university image.

This study followed a rigorous procedure, including interviews, a survey, exploratory factor analysis (EFA) and reliability analysis to identify higher education service quality dimensions and their measures. After that, using the data obtained from 1,550 university students in Vietnam, confirmatory factor analysis was used to validate the identified dimensions and structural equation modeling was used to test a proposed model explaining the outcomes of higher education service quality.

The findings reveal five dimensions of higher education service quality: academic aspect, nonacademic aspect, programming issues, facilities and industry interaction. Most of these factors have a positive influence on student satisfaction. In addition, the university image moderates the positive relationship between student satisfaction and student loyalty.

This study’s findings highlight the complexity of service quality in the higher education context and encourage higher education institutions to improve their service quality in image to enhance student satisfaction and loyalty.

This study suggests a unique measure of higher education service quality dimensions and provides fresh insights into how they impact student satisfaction and loyalty in Vietnam.

The growing cost and difficulty related to “finding someone” suggests that the role of service organisations in explicitly supporting and designing opportunities for love between customers merits further attention. This study employs a multidisciplinary approach of both services marketing and the economics of mate choice to understand how service organisations can exercise the third place effect and facilitate human mate choice (love) opportunities for consumers in extended service encounters.

Three qualitative co-design workshops were conducted with actors (students, casual and professional staff) from the Australian university ecosystem (n = 36) to identify consumer expectations related to mate selection in third place service contexts. A quantitative online survey of (n = 1207) current Australian university students was used to rank the importance of core and enhancing service elements.

The authors find that love holds a status in the minds of some consumers as an implicitly expected by-product of participation within the core service consumption experience in third places. For service providers to facilitate mate choice opportunities in third places, the results suggest that the design of the connective mechanism(s) should maximise opportunities for informal consumer-to-consumer interaction to allow prospective partners to ascertain compatibility. Further, consumers expect the organisational facilitation of engagement in order to clarify expected etiquette and support goal congruence. In the tertiary education marketplace for love, there is an increased preference for interpersonal engagement by those studying on campus (compared to externally), and a positive relationship between duration of enrolment and increased priority for mate choice service provision.

This research makes a novel theoretical and empirical contribution by being the first exploration of the economics of third place love in the tertiary education sector, also being a research primer for the field of services marketing to consider service design in third places to support mate choice.

For the provision of smart library services to end users, tools of the Internet of Things (IoT) play a significant role. The study aims to discover the factors influencing the adoption of IoT in university libraries, investigate the impact of IoT on university library services and identify challenges to adopt IoT applications in university libraries.

A systematic literature review was carried out to address the objectives of the study. The 40 most relevant research papers published in the world’s leading digital databases were selected to conduct the study.

The findings illustrated that rapid growth in technology, perceived benefits, the networked world and the changing landscape of librarianship positively influenced the adoption of IoT in university libraries. The study also displayed that IoT supported library professionals to initiate smart library services, assisted in service efficiency, offered context-based library services, provided tracking facilities and delivered effective management of library systems. Results also revealed that a lack of technical infrastructure, security and privacy concerns, a lack of technological skills and unavailability of policy and strategic planning caused barriers to the successful adoption of IoT applications in university libraries.

The study has provided theoretical implications through a valuable addition to the current literature. It has also offered managerial implications for policymakers to construct productive policies for the implementation of IoT applications in university libraries for the attainment of fruitful outcomes. Finally, the study provides a baseline for understanding the adoption of IoT in academic libraries.

This study aims to analyze the construction of gamification service in university libraries in China and to help university libraries improve service and user experience.

This study took 147 university libraries in China as research object, analyzed the gamification services announced by these libraries on official websites, Weibo, WeChat and other platforms during the period from July 1, 2021 to August 20, 2022, and investigated the gamification services from the four aspects of functions, forms, game elements and mechanisms.

The results show that the gamification service of university library in China is often used in the popularization of scientific and cultural knowledge, information literacy education, reading promotion, library service promotion and library entrance education. Questions and answers, points contests, passing the game level and treasure hunting are common forms of games. At the same time, many gamification services combine game elements such as points, leaderboards and grades with the game mechanism to enhance readers’ participation.

This study investigates gamification services of university libraries in China and provides suggestions for optimizing gamification services, which can provide reference for libraries in China and other countries.

This research is about embedding service-based supply chain management (SCM) concepts in the education sector. Due to Canada's competitive education sector, the authors focus on Canadian universities.

The authors develop a framework for evaluating and forecasting university performance using data envelopment analysis (DEA) and artificial neural networks (ANNs) to assist education policymakers. The application of the proposed framework is illustrated based on information from 16 Canadian universities and by investigating their teaching and research performance.

The major findings are (1) applying the service SCM concept to develop a performance evaluation and prediction framework, (2) demonstrating the application of DEA-ANN for computing and predicting the efficiency of service SCM in Canadian universities, and (3) generating insights to enable universities to improve their research and teaching performances considering critical inputs and outputs.

This paper presents a new framework for universities' performance assessment and performance prediction. DEA and ANN are integrated to aid decision-makers in evaluating the performances of universities.

The findings suggest that higher education policymakers should monitor attrition rates at graduate and undergraduate levels and provide financial support to facilitate research and concentrate on Ph.D. programs. Additionally, the sensitivity analysis indicates that selecting inputs and outputs is critical in determining university rankings.

This research proposes a new integrated DEA and ANN framework to assess and forecast future teaching and research efficiencies applying the service supply chain concept. The findings offer policymakers insights such as paying close attention to the attrition rates of undergraduate and postgraduate programs. In addition, prioritizing internal research support and concentrating on Ph.D. programs is recommended.