Browsing by Author "Selim, S"

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    ANALYSIS OF THE DETERMINANTS OF CUSTOMER SATISFACTION IN AN INTERNATIONAL MANUFACTURING FIRM
    Selim, H; Selim, S; Eroglu, 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.
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    Is COVID-19 an Advantage to Disadvantaged Groups? Evidence from Administrative Data on Working Hours in Turkey
    Özkubat, G; Üçdogruk Birecikli, S; Selim, S
    This paper examines the effects of COVID-19, which caused a recession in many fields in 2020, on the working hours of workers. Using the quarterly microdata set of the TurkStat Household Labour Force Surveys and the Oxford COVID-19 Government Response Tracker (OxCGRT) database, we found that the greatest work loss occurred in the second quarter of 2020 when the first shock of the pandemic was experienced. We also show that the stringency of the restrictions affects work loss. We present evidence that women, youth, informal, and temporary workers, who are classified as disadvantaged groups in the Turkish labor market, lost fewer working hours in the first period of the pandemic. Our quantitative analysis suggests that workers between the ages of 15 and 24 lost at least 2 hours less in the second quarter of 2020. Compared to the pre -pandemic period, working -hour gaps between formal and informal workers and permanent and temporary workers closed by about 1.5 hours in the same quarter. In addition, it is predicted that as the stringency of the restrictions increases by 10 points, working -hour gaps between the genders will be lessened by about 0.1 hours. The elderly, university graduates and those working in small businesses are the groups most affected by the pandemic. We also find that the balance between hourly wages and working hours has been disrupted at the beginning of the pandemic.
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    Creation of a Turkish University League Based on the Contribution of their Economics Departments to Economics Education
    Yilidiz, SB; Alptekin, V; Selim, S
    This study aims to measure the added value created by the economics departments of the universities in Turkey for students throughout their undergraduate education. For the analysis section, the minimum admission scores of the universities' economics departments for the years from 2000 to 2012 were used as input and the net average scores obtained in the economics tests of Public Personnel Selection Examination (PPSE) for the years from 2004 to 2016 were used as output. The data were normalized using the min-max method and the universities were ranked using the Borda count method. According to the results, Ankara University ranked the 1st, Hacettepe University the 2nd and Middle East Technical University the 3rd. The first six positions in the top ten ranking are held by the universities located in the capital, Ankara. This is attributed to various factors such as the long-established character of the universities in the capital city, availability and diversity of training courses and materials for PPSE, permanency of the academic staff, prevalence of standard daytime education in these universities, and the role of the capital as the seat of public institutions, resulting in greater motivation among students as they have more contact with senior government officials.
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    A New Technology Acceptance Model on Industry 4.0: A Firm Based Regional Analysis
    Selim, S; Dogan, RS; Sen, M
    The aim of this study is to reveal the factors affecting Industry 4.0 tech-nology 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 financ-ing 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.
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    The determinants of infant mortality in Turkey: A disaggregated analysis
    Yanikkaya, H; Selim, S
    Infant mortality rates drastically declined in Turkey during the last two decades but there are still wide variations within the country. For example, the infant mortality rate in the East region is twice as high as the West-South region average. This paper investigates the socioeconomic and demographic determinants of infant mortality at the regional level using Turkey Demographic and Health Survey, 1998 and 2003 data. Estimates of the zero-inflated negative binomial models find a number of significant determinants of infant mortality, including health, education and socioeconomic status variables. However our regressions results establish that the rural mortality model is different from the urban mortality model and that further significant differences exist between regional models.
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    A multinomial logit model based approach to find patterns among occupational accidents in Turkish manufacturing systems
    Mutlu, NG; Selim, S; Altuntas, 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.
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    Efficiency Analysis of the Provinces on the Basis of Public Incentive Policies for Tourism in Turkey
    Bursalioglu, SA; Selim, S; Kizilgöl, ÖA
    Tourism sector in terms of the country's economy needs to be supported by the state with tax incentives, legal regulations, exceptions and exemption applications and subsidies. The aim of this study is to determine the technical efficiency of the provinces in Turkish tourism using Data Envelopment Analysis among 2005-2015 depending on public incentive policies. For this purpose, input variables used in the study are the number of investment incentive certificates, fixed investments provided by incentives, employment, need loans, expenditures on public services, number of facilities with tourism investment and operation certificate, number of rooms and beds and output variables are total the number of arriving tourists and number of nights stay. According to the findings, it is determined that the provinces in the Mediterranean and Aegean regions are more effective than the Eastern regions in terms of tourism.
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    A comparative analysis on school attainment in Turkey and Malta: application of the Tobit model
    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.
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    Life satisfaction and happiness in Turkey
    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.
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    Analysis of the factors affecting firms' Industry 4.0 readiness levels
    Selim, S; Sen Dogan, R; Dogan, M
    Industry 4.0 transformation requires each unit and component in firms to be integrated with each other. Many maturity and readiness models have been developed in order to examine the current status of firms in Industry 4.0 technology and to better understand the process of transformation. The aim of this study is to determine the readiness levels of medium and large-scale firms operating in Manisa and Izmir Organized Industrial Zones for Industry 4.0 and to examine the factors affecting the readiness levels of firms with the Ordered Logit model. For this purpose, according to the results obtained within the scope of IMPULS Industry 4.0 Readiness Model, it has been observed that a significant part of the firms is mostly at the 2nd and 3rdlevel and largescale firms have a higher level of readiness. However, according to the result of the Ordered Logit model, it has been revealed that the most important variable determining the level of readiness for Industry 4.0 is Intention, which indicates the tendency of the firms to use Industry 4.0 technology.
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    Factors Determining the Efficiency of Higher Education in the European Union and Turkey
    Bursalioglu, SA; 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.
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    Analysis of the Determinants of Universities Efficiency in Turkey: Application of the Data Envelopment Analysis and Panel Tobit Model
    Selim, S; Bursalioglu, SA
    This paper builds on a two- stage Data Envelopment Analysis to determine factors on the efficiency of universities M Turkey in 2006-2010. The first stage is concerned with data envelopment analysis to measure the efficiency of the universities. This is followed by factors that affect the efficiency of the universities. The results of the model demonstrate that, the effect of project allocations found to be insignificant. Additionally, number of students per academic has a positive effect on relative efficiency of universities in Turkey. It is seen the highest increase at doctorate level. Employment and number of publications, as expected, have positive effect on efficiency. Because the central government budget appropriations has a negative effect on efficiency, the higher education institutions in Turkey may lead to the search for alternative financing such as Triple Spiral model in co-operation with the private sector, R&D support, project support, counselling, within the framework of university-industry-government. (C) 2013 The Authors. Published by Elsevier Ltd. Open access under CC BY-NC-ND license.
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    Effectiveness of Turkish Derivatives Market and Forecasting Comparative Prices for the Contracts
    Tas, T; Selim, S
    Derivative markets developed for eliminating uncertainty and risk arising from financial markets can make predictions about the future by using past price movements in case the market is not effective. In this context, in this study, firstly, the effectiveness of the Turkish Derivatives Market was tested by applying the Augmented Dickey-Fuller (ADF), Phillips-Perron (PP) and Kwiatkowski et al. (KPSS) linear unit root tests and Kapetanios et al. (KSS) nonlinear unit root test. As a result of all unit root tests, it was concluded that the series did not show random walk, so that the market was not effective. Then, the method that shows the highest performance is tried to be determined when forecasting the end of day settlement price of the TL/Dollar and Bist-30 contracts which is traded in the Derivatives Market. For this purpose, the forecasting results produced by the time series analysis methods are compared with the results of the artificial neural network model which has the best performance by employing different architectures, layer numbers, cell numbers in layers, activation functions and learning methods using the data which is provided from Borsa Istanbul Inc. and covering the dates between 04.02.2005 and 31.12.2015.According to the results of analysis, ARMA (4,4) model performed better than RBF-1-BL artificial neural network model and ARCH (1) model for TL/Dollar contract series. For the Bist-30 contract series, TDNN-1-B-L artificial neural network model has higher predictive performance than ARMA (4.5) and ARCH (1) models.
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    Analysis in Terms of Adaptation Hypothesis of the Spatial Relationship Between Migration And Fertility in Turkey
    Bilgin, D; Selim, S
    A nation's population is dependent on the quality and quantity of birth, migration, and death of its citizens. Recently, in Turkey, the increasing number of migrant women and the change in fertility behavior with migration has become a concern. Thus, to understand the socio-economic adaptation process of migrant women and the change in family structures in destination places, it is necessary to analyze the fertility behavior of migrant women. The study of fertility within the economic framework was first proposed by Becker in 1960, and many studies have been carried out since then. In studies examining the relationship between fertility and migration, four hypotheses, namely, adaptation, disruptive effect, selectivity, and socialization hypothesis, came to the fore. Thus, the present study aimed to determine the factors that affect fertility in Turkey using 2013 Turkey Demographic and Health Survey data and to evaluate the effect of internal migration on fertility in terms of the adaptation hypothesis using a robust Poisson regression through count data model. In the analyses, the number of children was taken as a fertility indicator. This study also examined the spatial relationship between migration and fertility by spatial econometrics. The findings suggest that the hypothesis of adaptation can explain the relationship between migration and fertility of women in Turkey.