Employability management practices in the Polish ICT sector

This article examines current career thinking and employability management practices within the Polish Information and Communication Technology (ICT) sector. The aim of this contribution is to identify career management problems and to determine obstacles for implementing employability management practices at a company level. Semi-structured interviews aimed at establishing company needs were conducted with 18 managers of small and medium-sized ICT enterprises in Poland. These firms appear to apply various developmental approaches to stimulate competitive advantage. Faced with a more demanding environment, firms aim for versatility rather than adopting simplified solutions. Managing the careers and employability of ICT professionals is acknowledged as vitally important for the survival and development of ICT companies.     

Immigration Selection and the Educational Composition of the US Labor Force

Immigration policy is often viewed as an important regulator of the flow of labor and human capital into the labor market. In the US context, this perspective underlies efforts to raise the educational levels of newly admitted US immigrants, which has been proposed through a variety of mechanisms. Yet it remains unclear whether and under what circumstances such changes would significantly raise the educational level of the US labor force. We use a microsimulation model to evaluate the effects of various policy proposals that would seek to admit more highly educated immigrants. Results suggest that adopting a Canadian-style admissions policy that explicitly selects immigrants based on educational attainment would lead to a better educated labor force, especially among immigrants and their descendants. Eliminating all unauthorized immigration or family reunification and diversity admission categories, however, would have minimal impact. Additionally, the effects of all policy scenarios on the educational composition of the entire labor force are likely to be modest and would be conditional on the continuation of intergenerational mobility and high levels of immigration.     

Public Trust in Government and Compliance with Policy during COVID-19 Pandemic: Empirical Evidence from Vietnam

Public Organization Review - This study explores how much the Vietnamese public trust their government during the COVID-19 pandemic and how public trust in government translates into support and...     

Family Loyalty and Adolescent Problem Behavior: The Validity of the Family Group Effect

Erratum . Journal of Law and Society Volume 32 Issue 3 The present study examined the relation between perceived justice and trust within family relationships and adolescent internalizing and externalizing problem behavior. Data were gathered from the father, the mother, and two of their adolescent children in 288 families. The social relations model was used to assess perceived justice and trust at the family level and the individual level. Adolescent internalizing and externalizing problem behavior turned out to be best predicted at the family level. Adolescents from families with less just or trustworthy climates showed more of these problem behaviors. Also associations between adolescent problem behavior and individual characteristics of the adolescents were found: adolescents who were generally viewed as less just/trustworthy were reported to have more problems. Our findings suggest that processes at different levels of family functioning (i.e., individual, whole‐family) should be taken into account when investigating associations between family characteristics and children's outcomes.     

Risk Communication in The Netherlands: The Monitored Introduction of the EC "Post-Seveso" Directive

Implementation of article 8.1 of the EC-"Seveso" Directive (82/501/EC) is now under way in many countries in Europe. In The Netherlands, the implementation of the Directive started with a carefully monitored introduction of active information provision at two sites (Dordrecht and Elst). This introduction was supported by a multidisciplinary research group. This group helped to develop the risk communication program and also played a role in the evaluation of the program. This paper describes these processes and their evaluation. We will focus on the design of the risk communication programs and the effects of the programs on knowledge and attitudes of the local target groups. This effort and its results clearly started an institutional learning process involving governmental bodies at several organizational levels (local, regional, and national), and industrial organizations (individual firms and organizations of industries). Monitoring the design, the implementation, and the effects of active information provision proves an effective means to gain experience with the implementation of the Seveso Directive and could help to facilitate further implementation.     

A neural' network applied to tlie calculation of lyapunov exponents

Chaotic deterministics systems are characterised by the instability of orbits on an attractor. The largest Lyapunov exponent measures on average the exponential growth rate of small deviations along an orbit and gives as such an indication whether or not the dynamic generating process is unstable. The direct method for calculation of the Lyapunov exponent, based on finite differences as formulated by the so-called Wolf-algorithm,fails on medium sized data sets. Alternatively, one can use a neural network with backpropagation to estimate a data generating function. This so-calletl indirect method enables us to recover the theoretical value of the largest Lyapunov exponent in several examples.