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Education plays a key role in socio-economic development and globalization has increased the numbers of students wanting to study abroad. Attracting international students is therefore an important objective for universities as international students open up opportunities to bring economic, cultural and academic benefits to both the universities themselves and to the countries in which they are located. This study therefore aimed to assess student satisfaction with a Jordanian university using the dimensions of quality contained within the established SERVQUAL model.

To achieve these goals, quantitative data was collected from international students attending one university located in Jordan via a questionnaire survey, using a randomized sample. Structural equation modeling (SEM) was used to analyze the construct validity, and correlations between student satisfaction and the different dimensions of quality were tested.

Consistent with other studies, the findings demonstrated that the five dimensions of service quality, i.e. tangibility, reliability, responsiveness, assurance and empathy, and the university of study, have a strong relationship with student satisfaction. However, there was no statistically significant correlation between country satisfaction and the tangibility and assurance sub-dimensions of quality.

Practical implications – The findings of this study are of interest and practical benefit to university leaders in developing their quality and student acquisition strategies.

This study makes a useful contribution to the growing body of evidence of service quality in higher education set within the context of a developing country.

This study aims to focus on how the design of an organization influences employee sustainability. It also highlights how top management support can mediate this relationship.

In order to examine the role of employee quality of life on performance sustainability, a quantitative survey approach was adopted. A questionnaire was distributed using simple random sampling to the employees working in the hotel sector.

Results suggest that organizations can enhance employee sustainability, including performance, commitment, motivation and retention, by investing in values that align with their employees, providing suitable health and wellness initiatives, and adopting in career growth policies. In that, values, health and wellness and human development are confirmed to be core determinants of employee sustainability, with a negligible role of fair compensation and physical artifacts. Top management support is found to mediate the relationship between employee quality of life and sustainability.

This study contributes to a better understanding of how organizational design for quality of life can assist employee sustainability with the mediation role of top management support. The study recommends that the hotel organizations should consider designing their work environments to promote their employee quality of life, which affects their sustainability within the hotel industry.

This study contributes to a better understanding of how organizational design for quality of life can assist employee sustainability with the mediation role of top management support. The study recommends that the hotel organizations should consider designing their work environments to promote their employees’ quality of life, which affects their sustainability within the hotel industry.

While there is ample research in business and management literature on the economic and environmental factors of sustainability, social sustainability has received less concentration. This study gives more attention to how employee social sustainability can be affected by the managerial and organizational factors of ensuring work life balance and top management support.

This study aims to investigate how major big bath accounting practices and CEO turnover in Egypt relate to one another, as well as the first to use the CEO’s origin as a moderating factor.

This study uses 10-year longitudinal data from 2012 to 2021 and 290 firm-year observations from Egypt’s listed nonfinancial firms that witnessed CEO turnover to identify the significant big bath accounting practices in Egyptian businesses after the Egyptian revolution and the COVID-19 pandemic. Using fixed and random effect models, the authors investigate the impact of CEO turnover on company earnings during the first year of a newly appointed CEO as an indicator of big bath practices after controlling CEO gender, experience, firm size, leverage, return on assets, return on equity and industry. The hypotheses were investigated using static panel data.

The results show the presence of big bath practices in the Egyptian market. Furthermore, big bath accounting practices are positively correlated with CEO turnover. Moreover, the results indicate that big bath accounting practices are only endured when external CEOs are employed, rather than internal ones.

The sample size and availability of data are the main research limitations. In addition, this study only examined CEO turnover and CEO origin as moderators in big bath accounting. Thus, future research may consider other CEO characteristics and political factors associated with big bath practices.

The findings from this study offer valuable insights to investors and regulators for effective decision-making and governance practices within the Egyptian capital market, while also contributing to a more informed approach to emerging markets on a global scale.

The findings contribute to the big-bath and CEO turnover and origin literature by showing a lower ceiling for earnings manipulation and using Egypt as a case study due to its unique institutional environment.

Owing to the large amount of information available on Twitter (a micro blogging service) that is not necessarily true or believable, credibility of news published in such an electronic channel has become an important area for investigation in the field of web credibility. This paper aims to address this issue.

A system was developed to measure the credibility of news content published in Twitter. The system uses two approaches to assign credibility levels (low, high and average) to each tweet. The first approach is based on the similarity between Twitter posts (tweets) and authentic (i.e. verified) news sources. The second approach is based on the similarity with verified news sources in addition to a set of proposed features.

The evaluations of the two approaches showed that assigning credibility levels to Twitter tweets for the first approach has a higher precision and recall. Additional experiments showed that the linking feature has its impact on the second approach results.

The proposed system is experimental; thus further experiments are needed to prove these findings.

This paper contributes to the research on web credibility. It is believed to be the first which provides a proposed system to evaluate the credibility of Twitter news content automatically.