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...

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...

We investigate the effectiveness of three different job-search and training programmes for German long-term unemployed persons. On the basis of an extensive administrative data set, we evaluated the effects of those programmes on various levels of aggregation using Causal Machine Learning. We...

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...