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1.
Bottom Line ; 2023.
Article in English | Web of Science | ID: covidwho-2321498

ABSTRACT

PurposeThis study aims to examine the relationship between polychronicity, job autonomy, perceived workload, work-family conflict and high work demand on the health-care employee turnover intention during the COVID-19 pandemic. Design/methodology/approachThe authors conducted quantitative research in private hospitals using a self-administered questionnaire, and 264 respondents participated. The authors also used an analysis of moment structures to determine the relationship between independent and moderating variables. FindingsThe results show a significant positive relationship between polychronicity, job autonomy, perceived workload, work-family conflict and high work demand, affecting turnover intention. This study also found the moderating effect of high work demand on work-family conflict and turnover intention. Research limitations/implicationsThis research was limited to hospitals in Bahrain during the COVID-19 pandemic. Nevertheless, the findings highlight the factors associated with health-care employee turnover intention and only five factors were identified. Practical implicationsThis study enhances the theoretical and practical effects of turnover intention. The results provide a competitive benchmark for hospital managers, administrators and governing bodies of employee retention. Social implicationsIt advances economics and management theory by enhancing the understanding of health-care employees' turnover intention in Bahrain. It serves as a basis for future large-scale studies to test or refine existing theories. Originality/valueTo the best of the authors' knowledge, this study is the first to adopt extrinsic variables in self-determination theory to measure the turnover intention of health-care employees. However, using resources in a crisis can be applied to any disaster.

2.
Pakistan Journal of Medical and Health Sciences ; 17(1):75-78, 2023.
Article in English | EMBASE | ID: covidwho-2264523

ABSTRACT

Background: COVID-19 is essentially an illness brought about by corona virus. COVID-19 is transmitted primarily by close contact between infected individuals. COVID-19 has been related to myalgia and general weakness in one-quarter to one-portion of suggestive patients. Aim(s): To recognize the number of Covid-19 recovered patients who at present complain of musculoskeletal impairments. Method(s): This was an observational study in which 181 covid-19 recovered patients were surveyed. Data was collected from different hospitals of Pakistan, throughself-made questionnaire and analyzed by SPSS version 21. Result(s): After the collection of data, gender differences exist in musculoskeletal disorders after comparison of both genders with age group 20 to 50 years with 48% are males 58% are females and pie chart shows prevalence of musculoskeletal disorders among covid-19 recovered patients. According to the findings, around 35% of 181 healed patients (with pain in their body parts) have seen a doctor in the last 6 months, while 65% have not visited a hospital to consult a doctor for MSK disease Practical Implication: Musculoskeletal impairments are leading cause of pain and disability that canlead to deformity if remain untreated or left without prior notice. As Covid-19 infection rate is getting higher day by day and till date vaccinationis not available to everyone here. We must ensure that anyone getting infected by the novel Corona can have least negative effects even after patients get cured. Conclusion(s): Gender differences exist in musculoskeletal problems. We have to compare it with Covid. Here we may say that it may be due to more stress among females, there are more chances of MSK issue among females as compared to males.Copyright © 2023 Lahore Medical And Dental College. All rights reserved.

3.
26th ACM International Conference on Evaluation and Assessment in Software Engineering, EASE 2022 ; : 453-460, 2022.
Article in English | Scopus | ID: covidwho-1909843

ABSTRACT

The outbreak of the covid-19 pandemic has devastated many sectors of each country and led to the development of contact tracing applications for controlling its spread. Contact tracing apps have been promoted to track infected contacts. However, contact tracing has gained significant debate due to its security and privacy concerns. The goal of this study is to examine the most popular contact tracing apps, their impact on pandemic control, as well security and privacy concerns. The multivocal literature review (MLR) brings the results from the state-of-the-art literature. We extracted 23 studies from both formal and grey literature to achieve the research objectives and found several security and privacy threats in the existing contact tracing applications. Additionally, the best practices to address these threats were also identified. We further proposed a preliminary structure of a secure global contact tracing app using blockchain technology © 2022 ACM.

4.
26th ACM International Conference on Evaluation and Assessment in Software Engineering, EASE 2022 ; : 408-412, 2022.
Article in English | Scopus | ID: covidwho-1909842

ABSTRACT

DevOps is a culture-oriented software development and operations methodology, and software organizations increasingly adopting it due to its flexibility and good business gains. Especially, in Covid situations DevOps give a good support to software development organizations to carry development and operations activities through cloud-native DevOps in work from home environment and starting new businesses. The technological advancement makes the world a global village, though, there is dire need of guidelines and standards for the adoption of DevOps across the borders and out of office. Considering the significance of DevOps in current era of software business, we plan to develop a roadmap aiming to assist the software development organizations to adopt DevOps process over the globe and in work-from-home format. In this study, we are proposing an initial idea towards the development of robust and comprehensive guide for DevOps adoption in geographically distributed environment. © 2022 ACM.

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