Nessrin Shaya
American University in the Emirates
11 Papers
4 Citations
Nessrin Shaya is an academic researcher from American University in the Emirates. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 1, co-authored 3 publications.
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Papers
Exploring predictors of teachers’ self-efficacy for online teaching in the Arab world amid COVID-19
Sandra Baroudi,Nessrin Shaya +1 more
TL;DR: In this paper , a mixed-method study was conducted to investigate teachers' self-efficacy in online learning environments amid COVID-19, where a total of 150 K-12 teachers from six Arab countries were invited to participate in the study.
Feminizing leadership in the Middle East: Emirati women empowerment and leadership style
Nessrin Shaya,Rawan Abu Khait +1 more
TL;DR: In this paper, a conceptual model on the principal social and cultural factors inducing the success of Emirati women in attaining senior leadership roles and shaping their leadership style to be transformational is presented.
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Organizational Resilience of Higher Education Institutions: An Empirical Study during Covid-19 Pandemic
TL;DR: A qualitative phenomenological research design was utilized, where a total of 13 executives from reputable universities were interviewed, followed by a thematic analysis of the data as discussed by the authors , which provided deep insight into the status of universities in the UAE that are currently in the early adaptation stage of the current crisis.
The underlying mechanism between compulsory citizenship behaviors and employee innovative work behaviors and knowledge sharing: A moderated mediation model
TL;DR: In this article , the authors developed a moderated-mediated model based on multi-source, multi-timed, and multi-level data from a sample of 207 academics and 137 direct supervisors in five higher education institutions in the United Arab Emirates (UAE).
Students' Relative Attitudes and Relative Intentions to Use E-Learning Systems
TL;DR: In this article , the authors developed a research model to investigate the key relative factors that affect the adoption of e-learning versus using IT in traditional classrooms, and students' relative attitudes and relative intentions to use elearning systems.
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