Browsing by Author "Selim S."
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Item Life satisfaction and happiness in Turkey(2008) Selim S.This research aims to investigate life satisfaction and happiness in Turkey. It extends the previous researches on subjective well-being (SWB) for Turkey by considering both happiness and life satisfaction. The previous researches for Turkey are local studies, and their findings cannot be generalized to the population of Turkish society. Given these facts, the factors that shape individual happiness and life satisfaction amongst Turkish people are determined using a representative survey of sociocultural and political change, World Values Survey (WVS). Some results obtained in this study are similar to typical findings such as a negative age effect, positive influences of income and health status, and a negative effect of unemployment. Contrary to the expectations, middle education has a negative direct effect on life satisfaction among females, and the upper education level is insignificant in the life satisfaction model. By comparing the correlates of happiness and life satisfaction across different years, this research aims to provide insights for policy makers and professionals to improve the perceived lives of Turkish people. © Springer Science+Business Media B.V. 2007.Item Analysis of the determinants of customer satisfaction in an international manufacturing firm; [Uluslararasi bi̇r i̇malat fi̇rmasinda müşteri̇ memnuni̇yeti̇ni̇ beli̇rleyen faktörleri̇n anali̇zi̇](2011) Selim H.; Selim S.; Eroǧlu S.Today, applying an effective customer relationship management, which is one of the key processes of supply chain management, becomes a must to provide a sustainable competitive advantage. Customer relationship management is a customer-focused strategy, and it is based on collection, assessment and use of customer data. Under the implementation of customer relationship management in an international firm in food sector, factors that affect satisfaction levels of retailers and distributors, which take place in the supply chain, are investigated in this study. The results of the analysis, which are carried out by using factor analysis method and ordered probit model, shed light on the customer-related strategies and decisions of the firm by revealing the factors that affect customers' satisfaction levels as well as the level of importance of these factors.Item A comparative analysis on school attainment in Turkey and Malta: Application of the Tobit model(2013) Selim S.This research provides a comparative analysis on the correlates of school attainment between Turkish and Maltese people. In the analysis, school attainment is measured by years of education. Tobit model estimates are obtained in the analyses using Eurobarometer 2004.1 data set. The results of the model demonstrate that, the effect of marriage on school attainment found to be insignificant for Malta while it is significant for Turkey. Additionally, it can be seen that females are less educated than males and income has a positive effect on school attainment in both Turkey and Malta. By providing comparative analyses, this research attempts to give insights for policy makers and professionals to improve the Turkish education system. © 2012 Springer Science+Business Media B.V.Item Factors determining the efficiency of higher education in the european union and Turkey; [Avrupa birligi ülkeleri ve türkiye’de yüksekögretimde etkinligi belirleyen faktörler](Ahmet Yesevi University, 2015) Bursalıoğlu S.A.; Selim S.Higher education institutions that shape today’s information society are important actors in providing economic development and growth and competitive advantage to countries in the international arena, as well as in providing prestige and a high level of income to individuals. In this regard, besides the educational service quality, innovation capacity, R&D potential, cooperation with industry and the roles in the regional development of higher education institutions, it is also important to investigate their efficiency in academic and research activities and the factors that determine this efficiency. This study aims to analyze Turkey’s and 17 of the EU member states’ higher education efficiency and the effects of various factors on the efficiency scores. To these aims, Data Envelopment Analysis and Tobit regression model are employed respectively. According to the findings, an increase in the ratio of public expenditure in higher education to GDP, in the number of students per academic and in the number of academics negatively affect the efficiency scores. However, the increase in the employment rate of higher education graduates, in the ratio of higher education graduates to the total population and in the life satisfaction of the individuals with higher education positively affects the efficiency scores. © 2015, Ahmet Yesevi University. All rights reserved.Item The spatial econometric analysis of internal migration of provinces in Turkey(Peter Lang AG, 2019) Selim S.; Özkubat G.Internal migration is the spatial displacement of the population within the borders of the country. Nowadays, people are migrating to live in more comfortable environments and better conditions. The direction of migration is from the less developed regions to more developed regions for mostly economic reasons. The aim of this study is to examine factors affecting internal migration by using spatial econometric analysis. According to the results of the analysis, urbanization rate, central government budget expenditure, the number of the patent granted, per capita bank loans and the number of the faculty members have a positive effect on migration. © Peter Lang AG 2019.Item A hierarchical clustering based panel data approach: A case study of regional incentives(Elsevier B.V., 2022) Altuntas S.; Selim S.; Altuntas F.The main objective of this research is to propose a novel approach based on panel data analysis and hierarchical cluster analysis to investigate the determinants of foreign trade deficit and cluster provinces of Turkey. This study has two important contributions into the existing literature. First, the proposed approach uses provinces based panel data. Second, the proposed approach uses structural factors as explanatory variables. The estimates show that the number of patent, trademark, and design granted, the number of incentive documents prepared, fixed investments and employment corresponding to the energy sector and employment in agricultural sector significantly affect foreign trade deficit in provinces of Turkey. Afterward, hierarchical cluster analysis is also utilized based on the results obtained from the panel data analysis. The results of the proposed approach show that provinces of Turkey are clustered into three clusters and Istanbul is the only province forming the first cluster. © 2022 The Author(s)Item A New Technology Acceptance Model on Industry 4.0: A Firm Based Regional Analysis(University of Salento, 2023) Selim S.; Doğan R.Ş.; Şen M.The aim of this study is to reveal the factors affecting Industry 4.0 technology acceptance within the framework of a newly proposed Technology Acceptance Model (TAM) of medium and large-scale firms in Manisa and Izmir Organized Industrial Zones, which are important industrial centres in Turkey. Within the scope of the study, managers of 204 firms operating in Manisa and Izmir Organized Industrial Zones have been interviewed and the data obtained has been analysed by Structural Equation Modelling (SEM) within the scope of TAM. According to the findings, it has been found that perceived usability, perceived ease of use, perceived self-efficacy and financing factors affect attitude towards Industry 4.0 use. In addition, it has been concluded that the attitude towards the use of Industry 4.0 also affects the Industry 4.0 usage intention and the Industry 4.0 usage intention affects the usage behavior. © Università del SalentoItem A multinomial logit model based approach to find patterns among occupational accidents in Turkish manufacturing systems; [Türk imalat sistemlerinde iş kazalarındaki örüntülerin çok durumlu logit model’e dayalı bir yaklaşımla belirlenmesi](Gazi Universitesi, 2024) Mutlu N.G.; Selim S.; Altuntaş S.Turkish manufacturing industry is in the top three in terms of occupational accident frequency among sectors. Therefore, there is a need to determine accident cause-effect relationships in order to improve occupational safety and minimize the risks that cause occupational accidents in the manufacturing industry. An integreated data driven approach is proposed to find patterns among occupational accidents in Turkish manufacturing systems. The proposed approach uses multinomial logit model (MLM) and decision tree algorithms, namely C5.0, Classification and Regression Trees (C&RT), The quaternion estimation (QUEST), Chi-square automatic interaction detector (CHAID) ve Random Trees. In this study, 307,590 occupational accidents in the Turkish manufacturing industry between 2013 and 2019 are used. It is found that there is a statistically significant relationship among division, geographical location of the accident, year, deviation, hour day, gender and age for all accidents with injury, death and loss of limb according to the absence of disability. Additionally, division, geographical location of the accident and year are among the top five predictors based on decision tree algorithms. © 2024 Gazi Universitesi Muhendislik-Mimarlik. All rights reserved.