Economic Liberalization and the Antecedents of Top Management Teams: Evidence From Turkish ‘Big’ Business

There has been an increased interest in the last two decades in top management teams (TMTs) of business firms. Much of the research, however, has been US‐based and concerned primarily with TMT effects on organizational outcomes. The present study aims to expand this literature by examining the antecedents of top team composition in the context of macro‐level economic change in a late‐industrializing country. The post‐1980 trade and market reforms in Turkey provided the empirical setting. Drawing upon the literatures on TMT and chief executive characteristics together with punctuated equilibrium models of change and institutional theory, the article develops the argument that which firm‐level factors affect which attributes of TMT formations varies across the early and late stages of economic liberalization. Results of the empirical investigation of 71 of the largest industrial firms in Turkey broadly supported the hypotheses derived from this premise. In the early stages of economic liberalization the average age and average organizational tenure of TMTs were related to the export orientation of firms, whereas in later stages, firm performance became a major predictor of these team attributes. Educational background characteristics of teams appeared to be under stronger institutional pressures, altering in different ways in the face of macro‐level change.     

Health Component of Inequalities Associated with Income Mobility Over the Life Cycle

Social Indicators Research - From the two-wave French Health and Professional Career survey in 2006 and 2010, the income distribution associated with income mobility between these two dates shows...     

Utilization of Mixed Distributions in the Calculation of Polarization: The Case of Spain

Social Indicators Research - This study analyzes the evolution of salary polarization in the Spanish labor market. The paper proposes the use of mixed distributions to examine the consequences of...     

The Salience of Perceived Societal Conflict in Europe: A 27 Country Study on the Development of a Measure for Generalized Conflict Thinking

Social Indicators Research - Over the last two decades, European countries have struggled with several crises (e.g., the Great Recession, the refugee crisis) which had a tremendous impact on (some)...     

An Ecological Model for Quantitative Risk Assessment for Schistosomiasis: The Case of a Patchy Environment in the Coastal Tropical Area of Northeastern Brazil

We developed a stochastic model for quantitative risk assessment for the Schistosoma mansoni (SM) parasite, which causes an endemic disease of public concern. The model provides answers in a useful format for public health decisions, uses data and expert opinion, and can be applied to any landscape where the snail Biomphalaria glabrata is the main intermediate host (South and Central America, the Caribbean, and Africa). It incorporates several realistic and case‐specific features: stage‐structured parasite populations, periodic praziquantel (PZQ) drug treatment for humans, density dependence, extreme events (prolonged rainfall), site‐specific sanitation quality, environmental stochasticity, monthly rainfall variation, uncertainty in parameters, and spatial dynamics. We parameterize the model through a real‐world application in the district of Porto de Galinhas (PG), one of the main touristic destinations in Brazil, where previous studies identified four parasite populations within the metapopulation. The results provide a good approximation of the dynamics of the system and are in agreement with our field observations, i.e., the lack of basic infrastructure (sanitation level and health programs) makes PG a suitable habitat for the persistence and growth of a parasite metapopulation. We quantify the risk of SM metapopulation explosion and quasi‐extinction and the time to metapopulation explosion and quasi‐extinction. We evaluate the sensitivity of the results under varying scenarios of future periodic PZQ treatment (based on the Brazilian Ministry of Health's plan) and sanitation quality. We conclude that the plan might be useful to slow SM metapopulation growth but not to control it. Additional investments in better sanitation are necessary.     

College women and the occurrence of unwanted sexual advances in public drinking settings

Using existing data from the 1999 Harvard School of Public Health College Alcohol Study, this study analyzes the social predictors of unwanted sexual advances experienced by college women and where this type of victimization occurs. Routine activities theory informed the analysis. While attendance and increased alcohol consumption at bars have a significant effect on experiences of unwanted sexual advances, attendance at parties, attendance at drink promotions, and participation in drinking games does not. Furthermore, while less satisfaction with education, having more sexual partners and friends that binge drink, and having more alcohol-related problems increase the likelihood of experiencing unwanted sexual advances, so does drinking less in general, having higher educated parents, and having a higher grade point average. These findings show that the predictors of unwanted sexual advances may differ somewhat from those that predict more serious forms of sexual victimization. Implications for future research and policy are discussed.     

State transition modeling of complex monitored health data

This article considers the analysis of complex monitored health data, where often one or several signals are reflecting the current health status that can be represented by a finite number of states, in addition to a set of covariates. In particular, we consider a novel application of a non-parametric state intensity regression method in order to study time-dependent effects of covariates on the state transition intensities. The method can handle baseline, time varying as well as dynamic covariates. Because of the non-parametric nature, the method can handle different data types and challenges under minimal assumptions. If the signal that is reflecting the current health status is of continuous nature, we propose the application of a weighted median and a hysteresis filter as data pre-processing steps in order to facilitate robust analysis. In intensity regression, covariates can be aggregated by a suitable functional form over a time history window. We propose to study the estimated cumulative regression parameters for different choices of the time history window in order to investigate short- and long-term effects of the given covariates. The proposed framework is discussed and applied to resuscitation data of newborns collected in Tanzania.     

Ground beetle (Coleoptera: Carabidae) communities on green roofs in Switzerland: synthesis and perspectives

Urban Ecosystems - Green roofs have recently gained recognition for their potential contribution to urban ecosystems by providing, among other services, habitat for plants and animals, and stepping...     

Making Sense of After‐School Care Dilemmas in Mothers' Stories of After‐School Care in Finland and Sweden

The study focuses on dilemmas in storied experiences of everyday after‐school care arrangements among Swedish and Finnish mothers. Finland and Sweden, which share a history of strong labour market attachment among women, arrange institutional after‐school care in similar ways. The data consist of interviews with three Swedish and six Finnish mothers. A positioning analysis of four stories shows how decisions related to children's after‐school hours were allocated among different actors. Two reoccurring dilemmas, Competent‐dependent child stories and Unburdened‐deficient mother stories, emerged from the data analysis as related to prevailing moral discourses on childhood and motherhood.