abdallah abuashour

Dr. abdallah abuashour

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Adi AlsyoufAdi Alsyouf
Adi Alsyouf
Abdalwali LutfiAbdalwali Lutfi
Abdalwali Lutfi
Mohammad Al-BsheishMohammad Al-Bsheish
Mohammad Al-Bsheish
Mu'taman JarrarMu'taman Jarrar
Mu'taman Jarrar
KAKhalid AL-Mugheed
Khalid AL-Mugheed
AAabdallah abuashour
abdallah abuashour
The pandemic’s context is rife with numerous dangerous threats and high fear levels, influencing human decision-making. Such characteristics are identified by investigating the acceptance of exposure detection apps from the technology acceptance model (TAM) perspective. This study purposed a model to investigate protection technology acceptance, specifically exposure detection apps in the context of COVID-19. Quantitative study approach and a cross-section design targeted 586 participants from Saudi Arabia. As the study model is complex, the study hypotheses were analysed using the structural equation modelling–partial least squares (SEM-PLS3) approach. The findings support the entire model hypothesis except the link between social media awareness and exposure detection apps’ intention. Mediation of COVID-19 anxiety and influence was confirmed as well. The current paper contributes to the technologies acceptance domain by developing a context-driven model comprising the major pandemic characteristics that lead to various patterns of technology acceptance. This study also fills the literature gap regarding mediating effects of social influence and COVID-19 anxiety in the relationship between trust in government and exposure detection apps implementation, and between COVID-19 anxiety and exposure detection apps implementation, respectively. The results may assist government agencies, health policymakers, and health organisations in the wide world and specifically Saudi Arabia, in their attempts to contain the COVID-19 pandemic spread.

1 November 2019 in American Journal of Applied Sciences
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Journal Article
Open access
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AAabdallah abuashour
abdallah abuashour
ZHZuraida Hassan
Zuraida Hassan
This study employs an integrated model, combining management practices studies and social theories, to examine the safety management practices and behavioural safety of Jordanian nurses from public hospitals. Our research employs Partial Least Squares (PLS-SEM) regression analysis to test the model. Hedonic value and utilitarian value are proposed as first-order reflective indicators of second-order formative value construct. The role of the work environment included for testing the difference in effect for all the relationship paths in the model. Data collected from 517 nurses present sound support for the research model. The results show that hospital management might help employees to practices of safety management, promote the positive work environment to enhance safety performance. The results also indicate that successfully investigated the associations between SMPs, work environment and safety performance in Jordanian Hospitals.