Dimensions of Social Stratification and Their Relation to Mortality: A Comparison Across Gender and Life Course Periods in Finland

Social Indicators Research - Differences in mortality between groups with different socioeconomic positions (SEP) are well-established, but the relative contribution of different SEP measures is...     

Private companies' engagement in the labour market integration of refugees: An exploratory study of the city of Stuttgart,Germany

Private companies of all sizes may engage in the integration of refugees into the labour market. Taking the case study of the highly industrialised German city of Stuttgart, this study explores the motivation of (a) private large-scale international enterprises including (automotive and high-tech companies) and (b) family-owned small- to medium-sized companies (private social enterprises, suppliers to the automotive industries, architecture, and engineering companies) to do so. The research further explores the companies' challenges, opportunities and the lessons learned throughout the process. Utilising the principles of Grounded Theory, a qualitative case study approach is applied with in-depth interviews with private companies, civil society, public private partnerships and experts. The findings show that the arrival of a large number of refugees during 2015/2016 has increased the engagement of the companies, increased their cooperation with other sectors, and has correspondingly led to some innovative initiatives in refugees' labour market integration and policy advocacy. The call for the engagement of the private sector and the existence of employment-related policies such as tolerated work permits (Ausbildungsduldung/Beschäftigungsduldung) were essential to create sufficient incentives for private companies to engage in the training and employment of refugees. However, the insecure residence permits and bureaucratic procedures in the public sector mostly discouraged their engagement. Our research shows that the two company types had different possibilities, different approaches towards refugees and faced different challenges while engaging in refugee labour market integration.     

Am I a leader? Examining leader identity development over time

The extent to which someone thinks of him- or herself as a leader (i.e., leader identity) is subject to change in a dynamic manner because of experience and structured intervention, but is rarely studied as such. In this study, we map the trajectories of leader identity development over a course of a seven-week leader development program. Drawing upon identity theory (Kegan, 1983) and self-perception theory (Bem, 1972), we propose that changes in self-perceived leadership skills are associated with changes in leader identity. Using latent growth curve modeling and latent change score analyses as our primary analytical approaches, we analyzed longitudinal data across seven measurement points (N = 98). We find leader identity to develop in a J-shaped pattern. As hypothesized, we find that these changes in leader identity are associated with, and potentially shaped by, changes in leadership skills across time.     

Gender differences in entrepreneurial intentions: A TPB multi-group analysis at factor and indicator level

Previous research suggests that diverse factors predict gender differences in entrepreneurial intent. Our paper integrates and expands on previous findings using the Theory of Planned Behavior (TPB), including the deeper-level measurement model, allowing for a better understanding of the origin of differences. The results of a survey with business students indicate that the effect of gender on entrepreneurial intentions is mediated via personal attitudes and perceived behavioral control but not social norms. More precisely, vis-à-vis their male counterparts, women are more driven toward entrepreneurship by motives to ‘get organized’ (balance) that are less dominant in predicting personal attitude. Moreover, female students are somewhat less driven toward entrepreneurship by beliefs of internal control that are more dominant in predicting perceived control. Finally, while female students are also more motivated to comply with normative role models, this did not influence their entrepreneurial intentions over and above perceived behavioral control and personal attitude. We discuss both practical and theoretical implications of our findings.     

Comparing Observed and Unobserved Components of Childhood: Evidence From Finnish Register Data on Midlife Mortality From Siblings and Their Parents

In this study, we argue that the long arm of childhood that determines adult mortality should be thought of as comprising an observed part and its unobserved counterpart, reflecting the observed socioeconomic position of individuals and their parents and unobserved factors shared within a family. Our estimates of the observed and unobserved parts of the long arm of childhood are based on family-level variance in a survival analytic regression model, using siblings nested within families as the units of analysis. The study uses a sample of Finnish siblings born between 1936 and 1950 obtained from Finnish census data. Individuals are followed from ages 35 to 72. To explain familial influence on mortality, we use demographic background factors, the socioeconomic position of the parents, and the individuals’ own socioeconomic position at age 35 as predictors of all-cause and cause-specific mortality. The observed part—demographic and socioeconomic factors, including region; number of siblings; native language; parents’ education and occupation; and individuals’ income, occupation, tenancy status, and education—accounts for between 10 % and 25 % of the total familial influence on mortality. The larger part of the influence of the family on mortality is not explained by observed individual and parental socioeconomic position or demographic background and thus remains an unobserved component of the arm of childhood. This component highlights the need to investigate the influence of childhood circumstances on adult mortality in a comprehensive framework, including demographic, social, behavioral, and genetic information from the family of origin.     

Summary indices of the age distribution of a population

In this paper a method for characterizing the age distribution of a population by means of an ‘index word’ is outlined. It is shown that the method can be applied to yield approximations to population forecasts.     

Leadership and generations at work: A critical review

We present a critical review of theory, empirical research, and practical applications regarding generational differences in leadership phenomena. First, we consider the concept of generations both historically and through contemporary arguments related to leadership. Second, we outline and refute various myths surrounding the idea of generational differences in general, and critique leadership theories that have been influenced by these myths. Third, we describe the results of a literature review of primary empirical studies that have invoked the notion of generational differences to understand leadership phenomena. Finally, we argue that the lifespan developmental perspective represents a useful alternative to generational representations, as it better captures age-related dynamics that are relevant to leadership, followership, and leadership development. Ultimately, our work serves as a formal call for a moratorium to be placed upon the application of the ideas of generations and generational differences to leadership theory, research, and practice.     

A new bivariate exponential distribution for modeling moderately negative dependence

This paper introduces a new bivariate exponential distribution, called the Bivariate Affine-Linear Exponential distribution, to model moderately negative dependent data. The construction and characteristics of the proposed bivariate distribution are presented along with estimation procedures for the model parameters based on maximum likelihood and objective Bayesian analysis. We derive Jeffreys prior and discuss its frequentist properties based on a simulation study and MCMC sampling techniques. A real data set of mercury concentration in largemouth bass from Florida lakes is used to illustrate the methodology.