666 research outputs found
The process of choosing a management career: evaluation of gender and contextual dynamics in a comparative study of six countries: Hungary, Israel, North Cyprus, Turkey, UK and USA
Purpose – The aim of this article is to identify the reasons MBA students have for their career choices, and to explore the contextual and gender-related aspects of career choice and development, based on a comparative study carried out with participants in six countries, i.e. Hungary, Israel, North Cyprus, Turkey, the UK and the USA. The paper seeks to investigate how cultural values and beliefs and gender differentially influence the career choices of MBA students towards managerial or entrepreneurial careers. Design/methodology/approach – A quantitative research design was applied by using a survey instrument that draws on a cross-national study. Findings – Differences exist in influences on career choice and development between women and men in one of the research settings (Turkey). In all six countries, women have a more societal value orientation and tend to undertake more charity work. Men are more likely to believe that “competition is the law of nature” and men appear to opt more for an entrepreneurial career route in all six countries. Originality/value – The study provides an understanding of the major gender-related similarities and differences in the career development of MBA students in six countries, and paves the way for further research in the field
Cem Tanova's Quick Files
The Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Cem Tanova's Quick Files
The Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Using Job Embeddedness Factors to Explain Voluntary Turnover in Five European Countries
This paper investigates actual voluntary turnover from the employee's perspective using a large European dataset integrating the available job factors related to job embeddedness and other variables that have been related to turnover in previous turnover models. The study shows that the traditional turnover model, where ease of movement and desire of movement are regarded as important predictors of turnover, receives support. However, the study also shows the job embeddedness factors play a key role in predicting turnover as well, even after the role of demographic and ease and desire of movement variables are taken into consideration. Thus, this shows that the turnover decision is not only about the individual's attitudes towards work or about the actual opportunities in the labor market, but these decisions are the result of an analysis of complex web of factors that are labeled job embeddedness.
International faculty member sociocultural adjustment and intention to stay: evidence from North Cyprus
Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork
Cross-Entropy Method (CEM) is a gradient-free direct policy search method, which has greater stability and is insensitive to hyperparameter tuning. CEM bears similarity to population-based evolutionary methods, but, rather than using a population it uses a distribution over candidate solutions (policies in our case). Usually, a natural exponential family distribution such as multivariate Gaussian is used to parameterize the policy distribution. Using a multivariate Gaussian limits the quality of CEM policies as the search becomes confined to a less representative subspace. We address this drawback by using an adversarially-trained hypernetwork, enabling a richer and complex representation of the policy distribution. To achieve better training stability and faster convergence, we use a multivariate Gaussian CEM policy to guide our adversarial training process. Experiments demonstrate that our approach outperforms state-of-the-art CEM-based methods by 15.8% in terms of rewards while achieving faster convergence. Results also show that our approach is less sensitive to hyper-parameters than other deep-RL methods such as REINFORCE, DDPG and DQN.Interactive Intelligenc
Green HRM in service industries:the construct, antecedents, consequences, outcomes & outlook
Human resources management an evaluation study of the turkish republic of northern cyprus bbubiness organization from the perspective of european ıntegration
TEZ2806Tez (Doktora) -- Çukurova Üniversitesi, Adana, 1997.Kaynakça (s. 166-174) var.xviii, 205 s. ; 30 cm.
Cognitive Styles and Learning Preferences of Undergraduate Business Students in North Cyprus
Measures of cognitive style and learning preferences were administered to 127 (75 men and 52 women) Turkish undergraduate business students. Students with analytical cognitive styles were more likely to prefer teacher-dependent and collaborative learning settings. As expected the mean Cognitive Style Index scores for the current Turkish sample was higher (more analytical) than those for similar western samples reported in the literature. Furthermore, students who had completed more credits towards the completion of their degrees had a higher mean score. The hypothesis regarding differences between scores of men and women was not supported. </jats:p
Living Closely Together but in Parallel - Multi-dimensional Challenges to the Integration of International Students in a Danish ‘Muscle’ Town.
Esbjerg is located in the Wadden Sea region and is a regional centre with approximately 72,000 inhabitants. Commercially, the city has recently ranked first amongst major Danish cities in the creation of jobs. However, in Denmark, it is mainly other cities that attract younger students, and Esbjerg has some of the same structural problems due to outmigration as Danish rural areas in general. It is, therefore, important for Esbjerg to be able to attract international students so that businesses and institutions in the region can recruit skilled employees. In this book chapter, the authors aim to reanalyse data from 10 semi-structured interviews with international students at higher education institutions in Esbjerg conducted in 2016. The authors position their empirical findings within the literature on international student integration to investigate the obstacles to international student integration into study, business and leisure life in Esbjerg and potential solutions given Esbjerg’s peripheral location. The chapter, thus, aims to improve the understanding of cultural, work-related and everyday life challenges that are present in university town environments where international students study, mainly from the perspective of students
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