Spatial Patterns of Marriage Migration in Turkey

Even though recent societal phenomena such as a heightened sense of individualism, economic well-being, and institutionalization have caused a shift in people's life course and made their lives less standard in developed societies, marriage still remains an important life course event in Turkey. Between the years 1995 and 2000 marriage migration comprised 7.4% of the interprovincial migration in Turkey, and of these marriage migrants 94% were woman. Young Turkish women tend toward marriage migration to escape the patriarchal family structure and gain more autonomy, economic security, and well-being. Focusing on the spatial patterns of marriage migration relationships in Turkey, this study seeks to reveal the economic and sociocultural background of male and female marriage migration and to visualize, explore, and model spatial data by using spatial data analysis (SDA) techniques. The results showed that marriage migration in different regions of Turkey varied by gender. Even though SDA techniques have previously been used in other social sciences studies, no other marriage migration study in the literature uses these techniques, thus enabling the article to contribute to the literature.     

Evaluation of the relationship between compliance with the follow-up and treatment protocol and health literacy in bladder tumor patients

Abstract

Objective: To investigate the relationship between the compliance of bladder cancer patients with cystoscopic follow-up and the treatment protocol, and their health literacy.

Methods: Patients who underwent transurethral resection surgery for bladder tumor were found to have non-muscular invasive bladder carcinoma on pathology examination and then underwent cystoscopic follow-up for 1?year or more were included in the study. Cystoscopic follow-up was recommended to the low- and high-risk groups in terms of progression and recurrence. The patients were evaluated with the Health Literacy Survey-European Union scale.

Results: The mean age of the patients was 67.13?±?10.77 years. The treatment continuity rate was 80.50% (n?=?33) in the adequate health literacy group (n?=?41) and significantly higher than the 56.50% (n?=?48) rate in the inadequate health literacy group (n?=?85) (p?=?.008). The health literacy results revealed that the health promotion and general index score was higher in the group of patients under the age of 65.

Conclusions: Adequate health literacy in bladder cancer patients is associated with better compliance with the treatment protocol. Young patients show better compliance with the follow-up protocol recommended by the physician. Increasing the follow-up protocol compliance of elderly patients with inadequate health literacy is necessary.     

Managing High‐Tech Capacity Expansion via Reservation Contracts

We study capacity reservation contracts between a high‐tech manufacturer (supplier) and her OEM customer (buyer). The supplier and the buyer are partners who enter a ‘design‐win” agreement to develop the product, and who share the stochastic demand information. To encourage the supplier for more aggressive capacity expansion, the buyer reserves capacity upfront by paying a deductible fee. As capacity expansion demonstrates diseconomy of scale in this context, we assume convex capacity costs. We show that as the buyer's revenue margin decreases, the supplier faces a sequence of four profit scenarios with decreasing desirability. We examine the effects of market size and demand variability to the contract conditions. We propose two channel coordination contracts, and discuss how such contracts can be tailored for situations where the supplier has the option of not complying with the contract, and when the buyer's demand information is only partially updated during the supplier's capacity lead‐time.     

Subset selection in quantile regression analysis via alternative Bayesian information criteria and heuristic optimization

Subset selection is an extensively studied problem in statistical learning. Especially it becomes popular for regression analysis. This problem has considerable attention for generalized linear models as well as other types of regression methods. Quantile regression is one of the most used types of regression method. In this article, we consider subset selection problem for quantile regression analysis with adopting some recent Bayesian information criteria. We also utilized heuristic optimization during selection process. Simulation and real data application results demonstrate the capability of the mentioned information criteria. According to results, these information criteria can determine the true models effectively in quantile regression models.     

Developing a restricted two-parameter Liu-type estimator: A comparison of restricted estimators in the binary logistic regression model

In the context of estimating regression coefficients of an ill-conditioned binary logistic regression model, we develop a new biased estimator having two parameters for estimating the regression vector parameter β when it is subjected to lie in the linear subspace restriction Hβ = h. The matrix mean squared error and mean squared error (MSE) functions of these newly defined estimators are derived. Moreover, a method to choose the two parameters is proposed. Then, the performance of the proposed estimator is compared to that of the restricted maximum likelihood estimator and some other existing estimators in the sense of MSE via a Monte Carlo simulation study. According to the simulation results, the performance of the estimators depends on the sample size, number of explanatory variables, and degree of correlation. The superiority region of our proposed estimator is identified based on the biasing parameters, numerically. It is concluded that the new estimator is superior to the others in most of the situations considered and it is recommended to the researchers.     

Simple Collective Identity Functions

A Collective Identity Function (CIF) is a rule which aggregates personal opinions on whether an individual belongs to a certain identity into a social decision. A simple CIF is one which can be expressed in terms of winning coalitions. We characterize simple CIFs and explore various CIFs of the literature by exploiting their ability of being expressed in terms of winning coalitions. We also use our setting to introduce conditions that ensure the equal treatment of individuals as voters or as outcomes.     

Assessment of delay factors in construction of sport facilities through multi criteria decision making

Abstract

The construction of sports facilities widened drastically as the number of sport events gradually increased during the last two decades in the global environment. The requirements of International Federations to host these sports events impact the construction of these facilities. Construction complexity, budget and time constraints and pressure from the project stakeholders play an important role on delivery time of such facilities. The aim of this paper is to identify and evaluate the most significant delay factors that affecting the delivery of sport projects worldwide. From previous literatures and one-to-one meetings with technical experts, a list of 37 delays attributes were identified. These factors were categorised in 8 groups and distributed through an online questionnaire portal to sport facility professionals. 101 completed responses were collected and analysed through different ranking approaches and multi criteria decision making methods (Relative Importance Index (RII), Spearman’s Rank Correlation, T-Test and Analytical Hierarchy Process (AHP). The analysis of AHP concluded that “low level of consultant experience”, “low level of contractor experience”, “shortage of construction materials” and “difficulties in financing the project by contractor” were the most critical delay factors, while “delays related to contractor capabilities” was the most critical delay group. The value of this paper is to provide the industry professionals with the most significant delay factors in construction of sports facilities to take proper managerial actions to reduce delays.     

Strategic Management in Turkey’s Public Sector: Reforms and Application Issues

Public Organization Review - Over the last five decades, several reforms have been undertaken in Turkey’s Public sector with the goal of achieving efficiency in service delivery. While...     

The differential impact of COVID‐19 on the work conditions of women and men academics during the lockdown

That the COVID‐19 pandemic has affected the work conditions of large segments of society is in no doubt. A growing body of journalistic accounts raised the possibility that the lockdown caused by the pandemic has affected women and men in different ways, due mostly to the traditionally gendered division of labour in society. We attempt to test this oft‐cited argument by conducting an original survey with nearly 200 academics. Specifically, we explore the extent to which the effect of the lockdown on childcare, housework and home‐office environment varies across women and men. Our results show that a number of factors are associated with the effect of the lockdown on the work conditions of academics at home, including gender, having children, perceived threat from COVID‐19 and satisfaction with the work environment. We also show that having children disproportionately affects women in terms of the amount of housework during the lockdown.     

Is abstention an escape from Arrow’s theorem?

In a society of variable size, Quesada (Soc Choice Welfare 25(1): 221–226, 2005) establishes the existence of Arrovian social welfare functions which are not dictatorial. We show that this escape from the Arrovian impossibility collapses when a very mild monotonicity condition is introduced.