Suchergebnisse

During the COVID-19 pandemic, every domain of industry has experienced a severe economic downturn with concomitant stress throughout the economy. Employees working in government and private sectors are experiencing different psychological problems. The current study was conducted to investigate the role of work-related flow in the relationship of job insecurity with financial anxiety in the employees working in private and government sectors of Saudi Arabia. The sample comprised 1,195 employees, 886 females, and 309 males. The participants' ages ranged from 25 to 60 years. The Financial Anxiety Scale, Work-Related Flow Inventory, and Qualitative Job Insecurity Measures were found valid and reliable. Structural equation modeling was applied to test the associations. As hypothesized, the results indicated that job insecurity was positively related to financial anxiety, work-related flow was negatively associated with financial anxiety, and work-related flow mediated the relationship between job insecurity and financial anxiety. All these associations were significant regardless of gender, age, marital status, sector of employment, income, self-rated health, and COVID-19 infection status. Further research is needed to understand the impact of job insecurity on financial anxiety in-depth through the paths of work-related flow, especially in the midst of COVID-19.

The COVID-19 pandemic may affect the world severely in terms of quality of life, political, environmental, and economic sustainable development, and the global economy. Its impact is attested to by the number of research studies on it. The main aim of this study is to evaluate the impact of COVID-19 on the psychology of sustainability (quality of life), on sustainable development, and on the global economy. A computerized literature search was performed, and journal articles from authentic sources were extracted, including MEDLINE (PubMed), Google Scholar, Science Direct, ProQuest, and Emerald Insight. The references in selected articles were screened to identify any relevant studies. The following inclusion criteria were followed: research articles based on the COVID-19 pandemic, and articles, research papers, journals, and news articles published 2010 to 2020. The exclusion criteria were as follow: psychology research, articles, and journals published before 2010 and research articles having no link with the current pandemic's impact on the psychology of sustainability, quality of life, and the global economy. Of the initial 350 articles identified, only 61 studies were found to be relevant and meet the inclusion criteria. Based on these articles, the review highlights that compared to developed countries, the developing nations and poor nations such as African countries with compromised health structures have been greatly affected. There are close associations between health, economic, environmental, and political issues globally. The pandemic can be managed if we follow new policies that implement economic and public health changes worldwide. A planned, coordinated approach between the public-private sector is required, designed according to each country's health system and economy. We can come out of this crisis if we work together and support both developed and developing nations.

<p>This study identifies eight factors: age, gender, education, occupation, place of residence, duration of marriage, number of previous marriages and number of children within the marriage, which can affect the occurrence of emotional divorce. These eight factors are explored through nine dimensions: emotional, intellectual, social-recreational, psychological, temporal, sexual, spiritual, physical and economic. Exploratory and Confirmatory Factor Analysis and path diagrams are used to extract emotional divorce from the eight factors. Structural Equation Modeling (SEM) is run to verify the above factor structure and evaluate the influence of each variable on emotional divorce. The corresponding beta coefficients in the regression equations reveal that education is the most dominant predictor of emotional divorce, with a 5% level of significance. It is equally predominant through seven of the nine dimensions (all excluding temporal). It is concluded that demographic factors such as age, gender and education levels play an important role in people's day-to-day lives, particularly within marriages.</p>