Testing the Comparability of Different Types of Social Indicators Across Groups

The social indicator movement has realized a considerable increase in importance during the last 50 years. This happened not the least by the publications in the journal Social Indicators Research. Social indicators have been developed for many aspects of life. The scores on these indicators often are compared through time and across groups. An essential requirement for such research is that the measures used are comparable through time and across groups. The comparability through time is not such a big problem but the comparability of measures across groups is not so obvious. This requires harmonization of indicators based on objective variables and invariance testing for indicators based on subjective and objective variables. In this paper we discuss how the comparability of different types of social indicators based on subjective and objective variables can be tested using invariance testing. This is a relevant issue because the existing testing procedure is designed for only one type of social indicators and this test is not directly applicable on the other types of social indicators.     

The male immigrant–native employment gap in Sweden: migrant admission categories and human capital

Journal of Population Research - Despite having a celebrated labor market integration policy, the immigrant–native employment gap in Sweden is one of the largest in the OECD. From a...     

Gaining hope and self-confidence—An interview study of women’s experience of treatment by art therapy for severe fear of childbirth

Background

Fear of childbirth is a serious problem that can have negative effects on both women and babies and to date treatment options are limited. The aim of this study was to elucidate the experience of undergoing art therapy in women with severe fear of childbirth.

On the most imbalanced orientation of a graph

We study the problem of orienting the edges of a graph such that the minimum over all the vertices of the absolute difference between the outdegree and the indegree of a vertex is maximized. We call this minimum the imbalance of the orientation, i.e. the higher it gets, the more imbalanced the orientation is. The studied problem is denoted by \({{\mathrm{\textsc {MaxIm}}}}\). We first characterize graphs for which the optimal objective value of \({{\mathrm{\textsc {MaxIm}}}}\) is zero. Next we show that \({{\mathrm{\textsc {MaxIm}}}}\) is generally NP-hard and cannot be approximated within a ratio of \(\frac{1}{2}+\varepsilon \) for any constant \(\varepsilon >0\) in polynomial time unless \(\texttt {P}=\texttt {NP}\) even if the minimum degree of the graph \(\delta \) equals 2. Then we describe a polynomial-time approximation algorithm whose ratio is almost equal to \(\frac{1}{2}\). An exact polynomial-time algorithm is also derived for cacti. Finally, two mixed integer linear programming formulations are presented. Several valid inequalities are exhibited with the related separation algorithms. The performance of the strengthened formulations is assessed through several numerical experiments.     

Spatial Analysis of the Relationship Between a Life Quality Index,HDI and Poverty in the Province of Buenos Aires and the Autonomous City of Buenos Aires,Argentina

The study of Quality of Life, Poverty and Human Development shares several elements. Nonetheless, while poverty is a measure of “lack” based on a set of basic need variables (unsatisfied basic needs—UBN), human development index (HDI) is derived from the notion of human capabilities. Quality of Life, however, is a measure of achievement. Our goal is to analyze the degree of spatial correspondence between a life quality index (LQI) and the other indices by using bivariate spatial autocorrelation with its global and local values. The comparison of these three indicators at a municipal level in the province of Buenos Aires and in the Autonomous City of Buenos Aires (the Federal Capital of Argentina) reveals a medium spatial correspondence which leaves room for discussion about the scope and limitations of the indicators. HDI and UBN have a similar spatial configuration while the LQI yields a more fragmented distribution associated to the complexity of its variables, dimension and weights.     

Analysing the Effect of Legal System on Corporate Social Responsibility (CSR) at the Country Level,from a Multivariate Perspective

In this paper, we analyse the effect of coercive isomorphism (legal system) on Corporate Social Responsibility (CSR) at the country level by using the multivariate statistical techniques X-STATIS and HJ-biplot, which allow us to capture the role that these institutional forces play in the evolution and patterns of behaviour regarding the commitment to sustainability. The results evidence that coercive forces have an important influence on the social and environmental commitment of companies. Analysis of the legal system shows that firms located in civil law countries have a greater interest in their CSR practices and in disclosing information than companies in common law countries; the most likely companies to act in a responsible way are those operating in institutional environments with a large and developed legal system oriented towards stakeholder protection. Consequently, our results show that companies operating in countries with similar legal systems adopt homogeneous patterns of behaviour regarding the commitment to sustainability, but their degrees of development are strongly determined by the coercive institutional characteristics.     

Resistance training is linked to heightened positive motivational state and lower negative affect among healthy women aged 65–70

Resistance training (RT) improves overall health, but the psychological effects of RT in healthy old adults have not been tested. The aim of this study was to investigate a sample of 65–70-year-old healthy and physically active women to assess their sense of coherence, health-related quality of life, hope, and affect, before and after taking part in a 24-week RT intervention (N = 14), compared to controls (N = 18). Findings showed a significant increase in hope (p = 0.013) and a significant decrease in negative affect (p = 0.002). Starting RT after age 65 does not appear to negatively impact on women’s psychological health but seems to be associated with important psychological health benefits.     

Implementing the right project structure to achieve coopetitive innovation projects

This research focuses on the project structure used by coopetitors to achieve common innovation projects. Scholars have recently identified an original but complex project structure that they call the Coopetitive Project Team (CPT). However, other project structures can also be implemented by coopetitors to achieve innovation. Therefore, we address the following question: for which types of innovation projects is CPT appropriate? We argue that coopetitors need to use CPT for high-risk and high-cost projects when the aim is to develop radical innovation. CPT allows coopetitors not only to develop innovation capabilities through close resource and knowledge sharing but also to manage the risk of opportunism. Conversely, coopetitors should use another project structure, Separated Project Teams (SPTs), for low-cost and low-risk projects when the aim is to develop incremental innovation. The SPT design allows coopetitors both to achieve the goal of the project and to minimize the risk of opportunism. To confirm our assumptions, we studied the project portfolios of Airbus and Thales, two firms in the space satellite industry. Our findings confirm that coopetitors should implement CPTs to handle innovation projects that are costly, risky and highly innovative. CPTs permit the sharing of knowledge and the management of high opportunism risk, both of which are necessary to achieve radical innovation. Conversely, coopetitors rely on SPTs for low-cost projects that require a low degree of knowledge sharing, thus avoiding the risk of opportunism in achieving their incremental innovation objectives.     

Exploring dialogic strategies in social media for fostering citizens’ interactions with Latin American local governments

Although the benefits of social media for enhancing citizens’ interactions with their local governments are well known in a more global context, few studies have focused on Latin America, or on the MERCOSUR countries in particular. This paper examines the use of dialogic strategies in the social media activities of local governments in MERCOSUR countries in order to generate citizens’ online engagement. Analysis of this question enhances our understanding of the use of social media by local governments in less developed countries and highlights the need for empirical evidence on the use of dialogic communication theory regarding stakeholder engagement with social media. The findings obtained reflect the positive influence of dialogic strategies on citizens’ online engagement, particularly those based on dialogic loop, useful information and generation of return visits, aimed at fostering participation via social media.