Despite physical, cultural, economic and other obstacles, millions of people have recently emigrated from one country to another in search of a better life. Consequently, the importance of this research topic has grown over time. Analysis of this regional approach is based on the OECD censuses, and its unique Database on Immigrants (DIOC), which makes it possible to generate a wide variety of cross-tabulations on the characteristics of asylum-seekers by the country of their birth. The aim of this study is to contribute to literature by analysing the role of regional differences in migration more closely in terms of the importance of migration regulation policies in the OECD countries. According to the results based on Binary Logistic (Logit) and Linear (OLS) Regression models, the educational attainment, age, sex and the place of birth of migrants are related in different ways to their region of origin. Moreover, male migrants are more skilled than females, migrants who are more educated are older than the less skilled, and foreign-born migrants seemed to be older than native-born migrants. There is also additional evidence suggesting that different regions and countries might follow different policies and norms for admission of migrants. Therefore, forthcoming migration governance programs that aim to facilitate the labour market integration of migrants should also take into consideration their regional characteristics.
This study aims to demonstrate how senior leadership applies to high-reliability organizations' functions when managing the Coronavirus pandemic in healthcare organizations and extend the current research by focusing on identifying which functions are more important for the leadership when managing crises in healthcare organizations. To achieve the aim of the study, a qualitative research approach was applied with well-known statistical analyses. Descriptive statistics were applied to determine the characteristics of variables. A correlation matrix shows the relationship between variables, while explanatory factor analyses were employed to determine the reliability of the variables. Ordinary least square regression analysis was used to emphasize the relationship between the role of leadership and different functions in high reliability healthcare organizations in Turkey. It has been found that the role of leadership has a positive and significant relationship with organizational safety, organizational trust, collective mindfulness, flexibility, and communication functions. In addition, the importance of leadership in healthcare organizations will improve many functions in an effective and professional manner, which is reflected in the reduction of the spread of Coronavirus which has been found among workers and in different environments.
The Covid-19 pandemic has caused changes in the social and economic environments for healthcare. Particularly, to avoid spreading the Coronavirus pandemic, release the stress among healthcare workers, and make them work effectively during the epidemic, high-reliability healthcare organizations give great importance to the improvement of their functions. This study aims to show the importance of high-reliability healthcare organizations comparing their effectiveness during a pandemic by applied qualitative research method with many statistical analyses. In order to achieve the aim of the study, a Likert scale survey technique is used to collect the data by using an online survey. 280 healthcare workers filled the survey from January 17, 2021, to February 22, 2021. Based on the outcomes of the analyses, it has been found that such functions as shared knowledge pattern, provision of self-care, awareness of the coronavirus consequences at the workplace of high-reliability healthcare organizations have a positive and significant relationship at p < 0.01 level with taken appropriate measures against coronavirus variable. Self-awareness of organizational role, organizational resources to provide safety, flexibility of work, environmental safety, and collective mindfulness do not have any relationship with the appropriate measures against Covid-19 variable. This outcome indicates that shared knowledge pattern, provision of self-care, and awareness of the coronavirus consequences at the workplace have a more important role in combating Covid-19 in high-reliability healthcare organizations. AcknowledgmentsWe would like to thank all the healthcare workers, who filled the survey of the study. This paper is supported by EFOP-3.6.3-VEKOP-16-2017-00007—“Young researchers for talent”— supporting careers in research activities in higher education program.
Purpose: This paper discusses whether the gender dimension of immigrants influences their entrepreneurial activities in host societies. Human capital theory, social capital theory, and disadvantage theory are used to explore immigrant entrepreneurship and its understanding as a migration research field worthy of more attention.Design/methodology/approach: Based on the systematic analysis of literature and peer-reviewed papers, a comprehensive analytical framework was developed. This framework is provided with an overview to discover the 20 articles written between 2000 and 2021 from different countries are discussed.Findings: It has been found that female immigrant entrepreneurs face many different challenges to sustain their businesses in the host countries, based on their human capital, social-capital, and disadvantage perspectives. Consequently, this research adds to the literature on female immigrants and has practical implications for policymakers and the immigrant community.Social Implications: The implication of this study is that destination countries should do something to improve the human and social capital of female immigrants to decrease the disadvantages they face.Originality/value: In this study, we specifically consider female immigrant enterprises to be as important as male enterprises in the destination countries to support the social and economic integration of migrants. On the other hand, this study also shows the disadvantages female immigrant entrepreneurs face before establishing a business and after starting their entrepreneurial activities.
The purpose of the study is to show two essential elements of the occupational status of international migrants in OECD countries. The study extends the current research by focusing on how the educational attainment of international migrants and the gender dimension affect migrants’ occupational status. To achieve the aim of the study, a quantitative research approach was followed. Ordinary least square regression analysis was used to emphasize the relationship between educational attainment and gender differences, and occupational status. The databases were taken from the OECD DIOC 2015/2016. It has been found that high-level educational attainment matches with representative vacancies, and female migrants tend to have those occupations more than male migrants in OECD countries. On the other hand, the study’s limitations included a lack of data on testing the exact occupational status of migrants in OECD countries, as well as educational attainment levels that were not specifically divided into each level of education in the databases.
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