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This study aimed to determine the impact of Business Intelligence (BI) applications on accounting department contributions to the development and quality assurance of university accounting education in Jordan. A questionnaire was given to accounting faculty members in 25 universities, and the results showed that BI applications had a significant effect on the development and quality assurance of university accounting education. Private universities had a greater impact than public universities. Recommendations of this study include improving awareness of BI applications, focusing on decision support systems in private universities and risk analysis in public universities, and promoting cooperation between public and private universities to achieve excellence in an increasingly competitive global environment.

In this manuscript, we aimed to (1) illustrate the differences in school–university partnership under the school reform and renewal models and (2) describe the practice of and learning about school–university partnership by reflecting on the three large, federally funded projects, all conducted under the school renewal model.

We used archival data from the three large, federally funded projects, synthesized our research related to school–university partnerships and developed themes for actions and learnings related to the topic of school–university partnerships.

The school–university partnerships under the school renewal model are different from that under the school reform model. School–university partnership under the school renewal model is associated with positive results for schools and the university. There are clear themes for the actions and learning in the school–university partnership under the school renewal model.

It is original to study school–university partnerships in the context of the school renewal model.

The study addresses the critical need for a performance measurement model tailored to universities in fragile countries. It aims to identify and prioritise criteria and sub-criteria within the model, specifically designed to accommodate the unique challenges faced by the higher education institutions in fragile nations.

The study employs the analytic hierarchy process (AHP) methodology, combining responses from respondents in four fragile countries: Somalia, Afghanistan, Sudan and Chad. The absolute measurement approach of AHP was employed for the final ranking of 15 Somali universities.

The study unveils a comprehensive performance measurement model customised for fragile countries. It identifies the necessary criteria and sub-criteria to assess university performance in such challenging contexts. The findings also reveal the significant performance disparities among 15 Somali universities, shedding light on areas for improvement.

This study’s small sample of countries and response bias are its limitations. The study is limited to fragile countries and may not fully depict the complexity of issues experienced by all types of universities.

This research provides a practical guide for universities in fragile countries to enhance their performance in the face of unique challenges. The model offers a framework for fostering quality practices, improving education quality and enhancing overall performance. Decision-makers and educators can leverage this model to drive changes within their institutions.

This research pioneers a performance-measuring model for fragile countries, filling a long-standing gap in the literature. It provides novel insights into the challenges of judging university performance in demanding contexts and is useful for academics, policymakers and top management of institutions.

Through a case study of a recently established but rapidly growing research-intensive university in China, this study explores how transnational joint doctoral programs are strategically instrumentalized to overcome policy restrictions on postgraduate degree accreditation. It utilizes the cumulative (dis)advantage theory as the analytical lens. This study investigates the innovative, bottom-up initiation of transnational higher education tailored to the development goals of the university and this region, thus providing an alternative perspective for the dominant top-down discourse on transnational higher education research in China.

This study employs a qualitative case study design that incorporates semi-structured interviews and document analysis to investigate the examined university’s joint doctoral programs.

The study examines how, through its transnational joint doctoral programs, the case university actively accumulated the advantages of recruiting excellent research students, cultivating the public’s confidence and deepening international collaboration. These advantages created a virtuous circle, which further reinforced each other and accelerated the university’s development. The disadvantages include power disparities between the case university and its partners, students’ study discontinuity because of temporal and spatial division and the challenges of co-supervision. Accordingly, the university implemented counterstrategies such as adopting a differentiated stance with varying partners, offering flexible administrative and management supports and aligning differently with various supervisors’ collaboration styles.

This study presents innovative institutional strategies in the Greater Bay Area of China to pursue rapid development and internationalization through transnational higher education programs. It also strives to illuminate the significant role of transnational higher education in facilitating experimental governance with Chinese characteristics.

This study aims to investigate the level of online sustainability disclosure provided by international universities during the COVID-19 pandemic. The ultimate goal is to identify the factors influencing the amount of sustainability information these universities disclose through their websites.

This study conducts a manual content analysis to measure the extent to which a sample of 100 international universities disseminate information on sustainability and COVID-19 issues via the web. A multiple regression analysis is performed to test the research hypotheses.

The findings confirm that universities worldwide leverage the potential of websites to convey sustainability information beneficial for stakeholders and society. Moreover, while board gender diversity positively affects the level of online sustainability disclosure, board size exerts a negative effect. Furthermore, university size, internet visibility and ranking position have no significant impact on the amount of online sustainability information provided by international universities.

To the best of the authors’ knowledge, this is the first study that provides insight into the possible determinants of universities’ online sustainability reporting during COVID-19. This study extends prior research mainly conducted in single countries by providing data on the sustainability disclosure level of universities in different geographical regions. Empirical findings also support policymakers’ global action in the past decade to increase the role of women in leadership and governing positions.

This research examines how universities enhance the virality of their social media messages among students. Specifically, we explore whether and how positive affective content in universities’ social media posts can influence sharing behavior. We also investigate the mediating roles of perceived effort and positive emotional reaction, as well as the moderating effect of visual content (i.e. photos).

Drawing upon the emotions as social information model, we conducted (1) an online experiment (N = 222) and (2) text analysis of 1,269,798 Twitter posts extracted from the accounts of 94 UK universities over 11 years (2010–2020) to test our hypotheses.

The findings show that social media posts containing positive affective content encourage sharing behavior and the relationship is mediated by both perceived effort and positive emotional reaction. An additional finding suggests that the use of visual content (photos) strengthens the relationship between positive affective content and sharing behaviors through an interaction effect.

This study contributes to the scant research focusing on positive affective content in the higher education context. The findings shed light on how universities could create social media communications that engage current and prospective students.

This article reports on a study that explored how the Tanzanian government can support the development of research-intensive universities in its higher education system.

Data were collected through document analysis and in-depth semi-structured interviews with participants obtained from national higher education departments, senior university leadership offices and academic staff in both public and private universities.

The study identified four essential systemic elements for developing research-intensive universities (RIUs): diversification of universities based on their core functions, allocation of financial resources according to research performance, relaxation of university governing systems and accrediting universities based on research outcomes.

The study identified essential systemic elements that could address the issue of developing RIUs in low- and middle-income countries (LMICs). These elements present a potential solution for developing a diverse higher education system capable of sustaining RIUs, offering opportunities to produce innovative knowledge, develop diverse skills and meet the needs of a range of students, employers and businesses.

This study adds to the body of knowledge on how LMICs can develop well-functioning RIUs. The study also contributes to the ongoing debates among higher education stakeholders, including governments, academics, students and the community, on the changing dynamics of higher education and its role in national and regional development.

The purpose of this action research study was to design, implement and evaluate interventions that enhanced the induction program for new teachers in a P-12 school district. At the outset, we hoped the study would provide new teacher support resulting in improved teaching practices, increased job satisfaction and/or increased teacher retention among the target population. With this in mind, our research question was: What structures and supports from a school-university partnership facilitate capacity-building among university teacher education faculty, school and district leaders, mentor teachers, and new teachers in the context of an induction program?

This study used an intervention-centered mode of action research methodology that aims to make systems-level change. This type of action research intends to solve real organizational problems with a focus on conducting “research in action” rather than “research about action” (Coghlan and Brannick, 2014, pp. 5–6). This approach necessitates that data collection and analysis are iterative processes, occurring throughout the research process, instead of solely at the end stages of the research process. Our action research process used Coghlan and Brannick’s (2014) action research cycle model. The cyclical four-step process includes constructing (verifying the problem in the local context), planning action, taking action and evaluating action. Facilitated by the interim director of a Professional development schools (PDS) partnership in the Southeastern United States, a team of co-researchers which included three university teacher education faculty and four school district administrators used action research methodology to create systemic change that enhanced the district’s induction program. We collected data through multiple qualitative methods, including surveys, focus groups, observations and interviews during the course of three action research cycles. These data and our theoretical framework (complex adaptive systems theory and social network theory) informed two major interventions that supported new teachers during the challenging first year of the coronavirus disease (COVID-19) pandemic.

The interventions and the research process were mutually beneficial for both institutions and contributed to professional learning and growth at the individual, group and system levels. The three major findings described include: (1) engaging in collaborative action research is mutually beneficial for both schools and universities; (2) induction programs benefit from university resources; (3) learning communities build all educators’ professional capacity.

Our research recommendations are: (1) more research is needed on the benefits of school-university partnerships to induction programs; (2) school-university partnerships should leverage action research to improve systems; (3) within school-university partnerships, the connection between collaborative leadership and sustainability requires further research. One limitation was that this study was conducted in a single school-university partnership context involving a large public university and a mid-sized public school district that had a well-established partnership. More induction-centered research is needed in different types of school-university partnership contexts that have varying levels of longevity and partnership structures.

Our recommendations for practice include (1) school-university partnerships should leverage collaborative learning communities to catalyze individual, group and systems-level learning and change, and (2) school-university partnerships must prioritize induction support to strengthen the teaching profession.

Since Hunt’s (2014) literature review on induction support in PDS partnerships, very few empirical studies have been conducted in this research area. This study, which examined induction support in a PDS partnership over a two-year period, makes a significant contribution to the scholarly literature on induction teacher support in school-university partnership contexts. Facilitated by the interim director of a PDS partnership, a team of co-researchers, which included three university teacher education faculty and four school district administrators, used action research methodology to create systems-level supports that enhanced the district’s induction program.

The purpose of this study is to expand corporate social responsibility research in communication management by understanding the dynamics of university social responsibility (USR). The COVID-19 pandemic and social justice protests of 2020 provide a context to study communication about universities’ dual roles as economic engines and social activists. Messaging from a university about its social responsibility goals can impact student perceptions.

A survey was conducted of 493 students enrolled at a major university in 2020. Students were asked about two real campaigns at their university, one about healthy behavior and one about racial justice on campus.

Altruism positively predicted reputation, trust and donation intent, while distrust was inversely predicted. Message credibility and believability were mediators of these relationships, but only source credibility mediated altruism for the social justice campaign. For universities, this study demonstrates the importance of communicating social responsibility messages with students. As an important and overlooked stakeholder group in USR, students may respond positively to these messages, which have implications for their potential willingness to donate after graduation.

This study contributes to the literature by merging variables from public relations and marketing with theory development in higher education management to provide a new perspective on ethical organizational communication.

This study aimed to identify the university librarians’ readiness to adopt artificial intelligence (AI) for innovative learning experiences and smart library services.

Quantitative research design followed by a survey method was applied. Data were collected from 174 professional librarians of 58 university libraries in Punjab province, Pakistan.

The findings of the study revealed that the adoption of AI enhances innovative learning. The results displayed that AI adoption assists librarians in the provision of smart library services to end users.

The study has offered practical recommendations in light of the evidence-based data for the efficient adoption and sustainability of AI applications in university libraries for innovative learning and smart library services. It contributes to the theoretical understanding by expanding the existing knowledge base. It offers managerial insights and has a societal impact. The study has provided a framework based on the empirical findings for efficiently adopting AI tools in academic settings for the provision of innovative learning experiences and sustainable smart library services.