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Data science and innovation in supply chain management : how data transforms the value chain

Kersten, Wolfgang (ed.); Blecker, Thorsten (ed.); … - Hamburg International Conference of Logistics <2020, … - 2020 - 1st edition

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...

Persistent link: https://www.econbiz.de/10012387153

Adapting to the future : how digitalization shapes sustainable logistics and resilient supply chain management

Kersten, Wolfgang (ed.); Ringle, Christian M. (ed.); … - Hamburg International Conference of Logistics <2021, … - 2021 - 1st edition, version 2

Persistent link: https://www.econbiz.de/10012703759

Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain

Kersten, Wolfgang (contributor); … - 2020

Persistent link: https://www.econbiz.de/10012420725

Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management

Kersten, Wolfgang (contributor); … - 2021

Persistent link: https://www.econbiz.de/10012815321

Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management – Innovative Approaches for the Shift to a New Era

Kersten, Wolfgang (contributor); Jahn, Carlos (contributor); … - 2022

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...

Persistent link: https://www.econbiz.de/10013470045

Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains

Kersten, Wolfgang (contributor); … - 2019

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

Persistent link: https://www.econbiz.de/10012142999

Machine learning estimation of heterogeneous causal effects : empirical Monte Carlo evidence

Knaus, Michael C.; Lechner, Michael; Strittmatter, Anthony - 2018

Persistent link: https://www.econbiz.de/10012001308

Does the estimation of the propensity score by machine learning improve matching estimation? : the case of Germany's programmes for long term unemployed

Goller, Daniel; Lechner, Michael; Moczall, Andreas; … - 2019

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...

Persistent link: https://www.econbiz.de/10012060603

Does the estimation of the propensity score by machine learning improve matching estimation? : the case of Germany's programmes for long term unemployed

Goller, Daniel; Lechner, Michael; Moczall, Andreas; … - 2019

Persistent link: https://www.econbiz.de/10012098947

Priority to unemployed immigrants? : a causal machine learning evaluation of training in Belgium

Cockx, Bart; Lechner, Michael; Bollens, Joost - 2020

Persistent link: https://www.econbiz.de/10012216299