Browsing by Author "Ozcan S.E."

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    Increasing the Personal Development of White-Collar Employees for Sustainable Employability
    (Multidisciplinary Digital Publishing Institute (MDPI), 2023) Özcan B.M.; Ozcan S.E.; Geyikci U.B.; Gülova A.; Sancak F.M.
    This qualitative study evaluated a training intervention aimed at increasing the personal development curves of the ABC company’s white-collar employees and developing presentation preparation techniques. The participants prepared presentations using the 10/20/70 learning rule for the competencies they identified. After academicians and business managers evaluated the presentations, semi-structured one-on-one interviews were conducted to identify the intervention’s benefits and limitations. The eight participants, who were white-collar professionals from the ABC company, were identified using non-probabilistic purposive sampling and interviewed online for about 30 min using Microsoft Teams. The interviews were audio recorded. The Maxqda-2022 program was used to examine the interview data. The analysis showed that the participants had negative feelings about the performance process based on their personal development competencies, particularly regarding process management. They also mentioned having the opportunity to learn through experience and conducting interviews. The participants agreed that their organizations should increase their development awareness and conduct 360-degree evaluations. They also said that intensive practical training at universities was needed because they felt their undergraduate education had not changed their perspectives or prepared them for a career. © 2023 by the authors.
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    Do air quality and green space reduce propensity to crime?: an empirical investigation of OECD countries
    (Emerald Publishing, 2023) Demir C.; Ozcan S.E.
    Purpose: This study investigates the impacts of green space and air quality on crime rates for Organisation for Economic Co-operation and Development (OECD) countries over the 2003–2017 period. Design/methodology/approach: By building an international data set, including both green space and air pollution at the same time in the model, and considering the potential endogeneities between variables, the study brings some novelties to the existing literature. Using the United Nations Crime Trends Survey and World Development Indicators databases, a panel data set of 37 OECD countries for 2003–2017 period was collected. To avoid the potential endogenous relationships between variables, the system-Generalized Method of Moments (system-GMM) method was applied. Findings: The findings suggest that increases in green space reduce the crime rate, while increases in air pollution raise it. Additionally, the estimated control variables show that there are many statistically significant factors that determine the crime rate. In all the additional models, the effects of green space and air pollution were estimated consistently, which can be taken as a sign that the findings are robust. Originality/value: The evidence of the study explicitly reveals that environmentally friendly policies provide benefits in terms of reducing crime rates as well as other known benefits. On the other hand, to represent the environmental dimension, this is the first study which uses a cross-country data set including both green space and air pollution in the model at the same time. Second, the issue has not been previously dealt with for OECD countries. Thirdly, the study considered the potential endogeneity between variables, and to check the robustness of the findings, some prominent factors affecting the crime rate were used as control variables. © 2022, Emerald Publishing Limited.