Transforming increasingly growing data volumes into knowledge and improving its usage requires knowledge management models (KMM). KMM structures the workflow for decision taking based on knowledge. Industry-suitable requirements for a KMM, in particular for automotive supply chains (SC) and...

A data envelopment analysis (DEA) is presented to assess evolutions of firm efficiency and financial performance in automotive supply chains. A sample of 32 decision-making units (DMUs), 17 globally operating original equipment manufacturers (OEMs) and 15 key suppliers from the automotive...

This paper studies the automotive supply chain in four European countries (Germany, France, UK and Italy). First, employing WIOD data (Timmer et al., 2015)processed via Trade-SCAN (Román et al., 2019), we decompose the domestic and imported inputs of production, focusing on the region and...