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The main purpose of this study is to test and verify return on investment (ROI) model proposed for academic libraries in Arab countries. The study assessed the value of AAU digital library resources and identified the value of the digital library in supporting the funded research projects.

The proposed ROI model is based on two phases and two different data. In Phase I, the authors calculated ROI based on the total downloads of full text to determine the total financial returns of the database subscription costs for the academic year 2019–2020. In Phase II, the authors examined the citations drawn from the Scopus database on a sample of 30 funded research projects for the College of Engineering during the year 2019.

Although the application of the proposed model has some challenges, it is relevant in measuring the ROI of academic libraries in Arab countries. The results of the study in Phase 1 revealed that the AAU gained $0.95 for every $1 spent on subscriptions to online databases. For Phase 2, the findings indicated a negative ROI of $−0.70 for every $1 spent on library subscriptions to the IEEE database.

This is a case study based on data collected from Al Ain University, United Arab Emirate (UAE). Therefore, the findings of the study may not be generalized, and other studies may find different results if more samples and data are used.

Although the proposed model has been cited by research papers indexed in the Scopus database, Web of Science, Google Scholar, Crossref and ResearchGate, none of these papers tested or verified the suggested ROI model. This study could be the first study testing the suggested model. The findings of the study may contribute to the application of the ROI model in the Arab countries, and particularly the academic libraries in the Arab world.

The return on investment (ROI) model is a tool used to measure the financial benefits and costs of an investment, in this case, the investment in digital library resources. By applying this model to the AAU digital library resources, the study seeks to determine whether these resources are providing sufficient value for the investment made in them.

The proposed ROI model has two distinct phases and utilizes two different sets of data to calculate the return on investment for a database subscription. In Phase I, the ROI is calculated based on the total number of downloads of full-text articles from the database during the academic year 2019–2020. This information is used to determine the financial returns of the database subscription costs. In Phase II, the ROI is calculated by examining the citations drawn from the Scopus database on a sample of 30 funded research projects for the College of Engineering during the year 2019. These data are used to determine the impact of the database subscription on research output and its contribution to the success of the College of Engineering's research projects. The two phases of the proposed ROI model aim to provide a comprehensive understanding of the value of the database subscription and its impact on both financial returns and research output.

The findings of the study indicated different results between Phase 1 and Phase 2 of the study. The positive ROI in Phase 1 suggests that the investment in online databases has a good return for the AAU, as they are gaining almost a dollar for every dollar spent. However, the negative ROI in Phase 2 is concerning. It suggests that the investment in the IEEE database is not generating a positive return for the AAU and may even be costing the institution money. Overall, these findings highlight the importance of measuring ROI in academic libraries, particularly in Arab countries where resources may be limited. By understanding the impact of library investments on institutional outcomes, libraries can make informed decisions about where to allocate their resources and how to optimize their services to best serve their communities.

The findings of the current study were based on data collected from a specific sample, therefore, the findings may not be generalized to other academic libraries. A similar study with larger and more diverse samples can help to validate and extend the results of this study.

The findings of the study provide evidence that the proposed ROI model can be effectively applied in Arab countries and academic libraries in the Arab world, this could encourage more institutions in the region to adopt this model for evaluating their investments and projects. The study may also guide how to adapt the model to the specific cultural and organizational contexts of Arab countries.

The purpose of this study was to understand knowledge-sharing behavior of nonacademic staff. In relation to the theory of reasoned action (TRA), the study investigated demographic characteristic differences in attitude, subjective norms, behavioral intention and knowledge-sharing behavior of nonacademic staff from India and the United Arab Emirates (UAE).

The study used a survey method and questionnaire instrument to collect data from 467 participants. The participants were nonacademic staff working for two academic universities in India and the UAE. The two universities were Pondicherry University (266 respondents) and Al Ain University (201 respondents). The collected data were treated and analyzed using Microsoft Excel and SPSS software for statistical analyses and frequency distributions.

The findings of the study showed that nonacademic staff from India and the UAE have a positive attitude toward knowledge-sharing, subjective norms and positive behavioral intention and are frequently involved in knowledge-sharing behavior. In addition, the study’s findings indicated statistically significant demographic differences in attitude, subjective norms and behavior intense knowledge-sharing behavior of nonacademic staff from India and the UAE. Nonacademic participants from India expressed a higher positive attitude toward knowledge-sharing and demonstrated more involvement in knowledge-sharing behavior than the respondents from the UAE. The findings of the study accepted 8 out of 20 stated hypotheses. The accepted hypotheses support the TRA theory and suggest the impact of age, job position, tenure of work and geographical diversity on attitude, subjective norms, behavioral intention and knowledge-sharing behavior. The study’s results suggested that nonacademic staff of 50 and above age groups are more likely to share knowledge than the nonacademic staff of 49 and fewer age groups. Likewise, the findings of the study suggested that nonacademic staff with a long tenure of work experience are more likely to share their knowledge with their coworkers than those with a short tenure of work experience.

Studies targeting knowledge sharing among nonacademic staff are scarce as compared to academic staff and students. Nonacademic staff are different from students and academic staff in attitudes and behavior. This study contributes to the expansion of knowledge sharing through the investigation of knowledge-sharing behavior of nonacademic staff. Moreover, the study expands the understanding of knowledge-sharing behavior through the use of demographic characteristics in relation to the TRA theory. In addition, most of the previous studies are based on data collected from one country, and this study is based on data collected from two countries.

This study aims to investigate and assess the first experience of faculty members and students with distance learning implemented at Al Ain University (AAU) to contain the spread of Coronavirus or COVID-19. The paper attempted to understand faculty and students’ satisfaction with institutional readiness for distance learning and perception towards opportunities and challenges of distance learning.

The study is based on data collected in March 2020 through an online survey questionnaire from the participants (students = 445, faculty members = 139). The unified theory of acceptance and use of technology (UTAUT) was used in formulating a conceptual framework. The collected data were analysed using several statistical techniques and partial least square structural equation modelling, to test and verify hypotheses.

The study found that, although faculty members and students expressed high satisfaction with the institutional readiness for distance learning and believed in its opportunities and advantages, they expressed concerns about the challenges facing distance learning. Findings of the study indicated a relationship between the status or college of the participant and perceived opportunities and advantages of distance learning. Hypotheses testing supported the study framework and UTAUT theory by identifying and confirming the impact of perceived opportunities of distance learning on satisfaction with the institutional readiness for distance learning.

The study suggested that non-distance learning institutions should keep offering courses through distance learning to prevent any shortcomings in the future.

Academic institutions play a crucial role in social and economic development. They share responsibilities to equip students with knowledge and skills. This study aims to examine and investigate the impact of knowledge sharing enablers (KSE) on knowledge sharing behavior (KSB). The paper measured KSE through perceived instructor support of knowledge sharing instructor support (IS), perceived information and communication technology (ICT) support of knowledge sharing and perceived ability to share knowledge (ASK).

A survey questionnaire was used as an instrument for data collection. A sample of 597 students from Al Ain University in UAE participated in the study. The collected data were treated and analyzed through MS Excel and International Business Machines Statistical Package for the Social Sciences (SPSS) version 25. The theory of reasoned action (TRA) was used in formulating a conceptual framework. Several statistical techniques, including partial least square structural equation modeling, were used to test and verify hypotheses.

Findings of the study supported TRA theory by suggesting a positive and significant impact of KSE (IS, ICT and ASK) on KSB. The findings supported the stated three hypotheses and confirmed that at least 45% of the variation in students’ KSB is explained by a variation in one of the three KSE indicators. The paper provided important theoretical and practical implications for researchers and managers of academic institutions.

Academic institutions need to advance their strategies to create more collaborative environments for boosting knowledge sharing among students. Such practice will contribute in improving the students’ overall capabilities, skills and success of academic institutions.