Benefits of semantic data models. A study in the European goods transport industry

For more than 20 years, supply chains have been optimized using electronic data interchange based on the EDIFACT standard. In 2010, the EU Commission launched a digital agenda to optimize public administration processes through uniform and cross-border regulations. Ongoing globalization and increased environmental awareness are creating increasing demands for the transport industry, such as shifting transport from road to rail. Several projects are focusing on the semantic standardization of data exchange based on web technologies, in order to optimize system interaction between all players of the transport supply chain. This study investigates whether using a semantic reference data model instead of a proprietary data model fosters the intensity of possible interactions of data exchange systems in the European goods transport industry. Drivers, benefits, challenges, and success factors for collaborative data exchange are identified. The research in this study bases its solutions on the system interaction theory, performs a literature review, and collects primary data. Six representatives of important players of the European goods transport industry are interviewed and surveyed.

Andreas Pelekies was born in 1977 in Germany. He is Senior Business Development Manager at GEFEG mbH, Berlin and Managing Director of validool.org UG. His passion is developing solutions that optimally connect business processes using standards. He is an active member of national and international committees such as DIN, CEN, UN/CEFACT and co-author of the European Norm for electronic invoices EN16931. The ZUGFeRD format was developed under his direction and technical management in the Forum Elektronische Rechnung Deutschland. As manager for global XML standards at GS1 Germany, he was responsible for cash logistics and electronic invoicing at the national and international levels. He holds an MBA and studied Business Informatics at the University of Applied Sciences for Economics and Management.