The Covid-19 pandemic and its impact on profitability: case study of companies listed in Amman Stock Exchange during the years (2019 – 2020)

تعتبر بورصة عمان (ASE) مؤسسة مالية رئيسية في الأردن، ومن المحتمل أن يكون للوباء تأثير على ربحية الشركات المدرجة في بورصة عمان. تهدف هذه الدراسة إلى التحقيق في تأثير جائحة Covid-19 على ربحية الشركات المدرجة في بورصة عمان خلال السنوات 2019-2020. ستحلل الدراسة تأثير الوباء على المؤشرات المالية المختلفة مثل صافي الربح والإيرادات ودخل التشغيل. كما اعتمدت هذه الدراسة على تحليل توصيات الأبحاث السابقة التي تم إجراؤها حول نفس الموضوع والتي تم نشرها في المجلات العلمية خلال الفترة 2019-2022. تقدم نتائج هذه الدراسة نظرة ثاقبة حول تأثير Covid-19 على ربحية الشركات المدرجة في بورصة عمان. تُظهر النتائج أن العديد من الشركات تأثرت بالفعل بالوباء، وتمكنت شركات أخرى من تقليل الآثار الجانبية والنجاة من هذه الأزمة.The Amman Stock Exchange (ASE) is a major financial institution in Jordan, and the pandemic is likely to have had an impact on the profitability of companies listed on the ASE. This study aims to investigate the impact of the Covid-19 pandemic on the profitability of companies listed on the ASE during the years 2019-2020. The study will analyze the impact of the pandemic on various financial indicators such as net profit, revenue, and operating income. This study also depended on analyzing the recommendations of previous research that’s been done on the same topic which were published in scientific journals during 2019-2022. The findings of this study provide insights into the impact of the Covid-19 on the profitability of companies listed on the ASE. The results showcase that many companies were indeed affected by the pandemic, and other companies managed to minimize the side effects and survive this crisis

Architectural framework of digital marketing: Examining its relationship with customers and the intermediary role of electronic quality in Saudi commercial banks

This study on the moderating effect of electronic quality in mobile marketing aims to examine the factors that influence how Saudi commercial banks are viewed by their customers. A research framework that sheds light on the state of the research was developed after a comprehensive analysis of the accessible literature. The theoretical foundation of this study is the idea of perceived characteristics, which identifies five critical factors that influence adoption rates. The empirical results of this study are presented based on a sample of 300 respondents (n = 300). The research was conducted using the statistical technique of least squares structural equation modeling (PLS-SEM). The reporting format conforms to accepted PLS-SEM analysis standards. The results reveal a significant association between mobile marketing and customer perceptions in the context of Saudi commercial banks, especially when electronic quality is used as a mediating variable. Based on these findings, we suggest that Saudi commercial banks should strategically include e-quality in their digital marketing campaigns, paying special attention to mobile marketing

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population

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Letter to the editor