RESUMEN
The current study aimed to highlight the factors that may influence teachers' psychological resistance to digital technologies in entrepreneurship and business schools. Theoretically grounded in the diffusion of innovations theory and the theory of planned behavior, the current research investigates teachers' psychological resistance to digital innovation, school culture and climate, and moderation of teacher attitudes toward educational technologies. A cross-sectional field survey of 600 business and entrepreneurship school teachers was conducted in Jordan. In this study, partial least square-structural equation modeling (PLS-SEM) was used to assess the variables' "direct and moderating impacts" using the Smart PLS software 3.0. According to the results, school culture and school innovation climate had a considerable positive impact on teachers' resistance to digital innovation. Additionally, teachers' attitudes toward educational technologies moderated the relationship between study constructs in the framework. The study is a significant advance to the literature related to entrepreneurship, business education, and digital innovation. Several key policy insights and recommendations for further research, as well as theoretical and practical implications, are suggested.
RESUMEN
Individuals suffer from insomnia through the presence of extraneous thoughts. Furthermore, there are cognitive and behavioral aspects, which afflict a person when they have insomnia. In this context, there are strategies to address these thoughts. The Thought Control Questionnaire: Insomnia-Revised (TCQI-R) is a self-reporting instrument that aims to evaluate the strategies used by individuals to control their thoughts when suffering from insomnia. This study aimed to translate and adapt the TCQI-R to the Jordanian society. In this study, the questionnaire was applied to a sample of 361 participants aged between 19 and 61 years, of which 210 were women (58%). The principal component analysis determined five components: reappraisal, cognitive distraction, aggressive suppression, worry, and behavioral distraction. Each of the total scores of the questionnaire (α = 0.90) and its five components (Cronbach's α between 0.75 and 0.83) demonstrated high internal consistency. The results of the triple analysis of variance established that the instrument can distinguish between depressed and non-depressed people, anxious and non-anxious people, and people who suffer from insomnia and those who do not. Additionally, the results revealed significant statistical correlations between each of the total scores of the questionnaire and its five components as well as with the related scales. Finally, multiple regression analysis demonstrated the ability of the TCQI-R to predict depression, anxiety, and insomnia, and the prediction ratio for the overall score were 32.4%, 36.6%, and 42.6%, respectively. This indicates that worry and cognitive distraction were the most powerful strategies in dealing with insomnia. This instrument has the ability to assess and diagnose intrusive thoughts and adjust the strategies used to overcome insomnia.
