The Learning Transfer System Inventory (LTSI) translated into French: internal structure and predictive validity

The Learning Transfer System Inventory (LTSI, Holton et al., 2000 ) considers 16 factors likely to influence the transfer of training to the workplace. The purpose of this study is to translate the Learning Transfer System Inventory into French and to examine (1) the internal structure of the translated instrument; and (2) its predictive validity. The Learning Transfer System Inventory was administered to 328 participants from six companies during the week following the end of a training program. The transfer questionnaire was filled in by 106 of those participants 1–3 months later. The results showed that a principal component analysis reveals a factor structure very similar to the original structure: the 16 original factors are replicated. Second, seven factors display statistically significant correlations with transfer: learner readiness, motivation to transfer, transfer design, opportunity to use, transfer‐performance expectations, performance‐outcomes expectations and performance self‐efficacy. Comparisons with four similar previous studies allow us to draw directions for future research on the instrument.     

THE PRECAUTIONARY PRINCIPLE: A HIGH‐RISK PRINCIPLE1

The precautionary principle ‐ recently added to the French constitution and part of the draft Constitution of the European Union ‐ aims to protect the public from the risks associated with scientific and technological advance by allowing governments to ban any activity deemed to involve risks, even if those risks are unproven. In reality, the precautionary principle itself poses enormous risks of losing the advantages of projects that are banned, of preventing the development of the means by which risk may be ameliorated and of threatening the private property rights that provide the most effective environmental safeguard.     

Mapping themes in the study of new work practices

Both shaping and shaped by technological, economic and social facets, the world of work has witnessed a wide array of changes. This review article sets out to provide a synthesis of some of the main directions and insights of existing research connected to the new world of work. In particular, we approached the topic of new work practices through four key dimensions: (1) Conceptual and methodological dimensions in the study of new work practices; (2) Spatial and temporal manifestations of new work practices in the collaborative economy; (3) Individuals, organizations and new work configurations; (4) Power and control. The review article critically discusses the future of work and argues that the ‘new’ world of work simply repeats asymmetrical power relations and inequalities that characterise work activities, with the potential of exacerbating even further disparities, inequalities and precarity.     

Volatilidad en los ingresos y en el mercado de trabajo de los jóvenes en Europa

Los autores ofrecen nuevos datos empíricos sobre la volatilidad en los ingresos y en el mercado de trabajo (incluyendo entradas y salidas del empleo) de los jóvenes en Europa durante la Gran Recesión. Los datos de EU‐SILC para el periodo 2004–2013 revelan grandes disparidades al respecto entre los países europeos. La Gran Recesión incrementó la volatilidad entre los jóvenes. Mediante un ejercicio de descomposición de la varianza se observa una mayor rotación laboral en el sur de Europa. Según un modelo de efectos fijos, un mayor nivel de prestaciones de desempleo y de protección del empleo se asocia con una reducción de la volatilidad.     

How Can Behavioural Insights Be Used to Improve EU Policy?

The introduction of behavioural insights into policy-making is welcome, because they challenge traditional assumptions in policy-making which are largely inspired by neoclassical economic thinking. In line with good evidence-based policy-making, they make us question and test how people behave instead of assuming we already know the answer.