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.

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Based on the reinforcement theory of motivation, the purpose of this research was to measure the effect of school innovation climate on students’ motivational outcomes, including behavioral engagement, academic self-efficacy, interest, and utility value. Furthermore, the conditional influence of students’ attitude toward technology on the link between school innovation climate and students’ motivating outcomes has been investigated and reported. Data were gathered from the 305 entrepreneurship program students of five different universities located in Wuhan, China. In the SamrtPLS 3.3.3 program, the analysis was carried out using SEM. Results revealed that the school innovation climate has a favorable impact on improving the motivating outcomes of students. Additionally, results also provided support for moderation hypotheses that “students’ attitude toward technology” moderated the relationship between “school innovation climate” and academic self-efficacy. On the contrary, “students’ attitudes about technology,” did not appear to be a significant moderator in terms of enhancing the influence of the “school innovation atmosphere” on the students’ behavioral engagement, interest, and utility value. This study provides key policy and theoretical and practical implications as well as future research avenues for entrepreneurial school managers and education scholars.

Background: Acute pancreatitis is a common surgical entity with a wide clinical spectrum ranging from mild pancreatitis to severe acute pancreatitis with lethal complications. A number of scoring systems have been devised to predict and manage complications associated with severe acute pancreatitis. The objective of this study was to study the demographics, early complications of acute pancreatitis with their outcome, and to assess the efficacy of multi organ system failure score.  Methods: This was a descriptive study including 120 patients of acute pancreatitis done over a period of 2 years. The management of complications and their outcome were recorded in detail. A multi organ system failure score was used to predict and assess the severity of acute pancreatitis. Results: Total 120 patients were evaluated with mean age of 40 years and male preponderance. Alcohol consumption was the most common etiological factor. Acute fluid collection was the most common local complication while shock was the most common systemic complication. MOSF scoring system had a sensitivity, specificity and positive predictive value of 96%, 92.8% and 90.5% respectively. Mortality was 5.8% seen in patients with MOSF score above 5.Conclusions: The management of early complications of acute pancreatitis is mainly conservative, with surgical management limited to only a few selected patients. MOSF score is a valuable tool to predict and assess the severity of acute pancreatitis and should be used for monitoring of high risk patients.