This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for supply chain management. They present business models and investment options for enhanced strategic decision making as well as recent approaches for supply...

This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for supply chain management. They present business models and investment options for enhanced strategic decision making as well as recent approaches for supply...

This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for logistics and supply chain management. They present opportunities for enhancing resilience and sustainability as well as recent approaches for supply chain...

Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation of average treatment effects on the treated using a...

Based on administrative data of unemployed in Belgium, we estimate the labour market effects of three training programmes at various aggregation levels using Modified Causal Forests, a causal machine learning estimator. While all programmes have positive effects after the lock-in period, we find...

We investigate heterogenous employment effects of Flemish training programmes. Based on administrative individual data, we analyse programme effects at various aggregation levels using Modified Causal Forests (MCF), a causal machine learning estimator for multiple programmes. While all...

The third chapter estimates negative average effects of a Swiss job search programme for unemployed persons. Those who are send to the job search programme are significantly less likely to find a job quickly than comparable unemployed persons who do not participate in such a programme. Recent...