Multi-lateraler Datenaustausch im Wertschöpfungsnetzwerk – Können DataSpaces eine Revolution auslösen?

Abstract

This thesis examines the opportunities and challenges of multilateral data exchange in value networks and explores whether DataSpaces can represent a revolutionary solution in this area. The starting point of the thesis is the problem that traditional Electronic Data Interchange (EDI) methods are reaching their limits, especially due to the diversity of data formats, heterogeneous IT systems and regulatory requirements. The theoretical part of the paper highlights the concept of multilateral data exchange, the data exchange methods used today, and the challenges and limitations in the data exchange process. Of the methods used today, the focus is on Electronic Data Interchange (EDI) and its standards. Then there is a transition to the concept of DataSpace and the fundamentals and architecture are described. Special attention is given to International Data Spaces (IDS) and Gaia-X. Examples of Use Cases are also given. At the end of the theoretical part, it is described which requirements and challenges can be addressed by DataSpace in which way, and which challenges and limitations this concept faces. The empirical part of the thesis aims to answer the question, what advantages and disadvantages can the use of DataSpace have in multilateral data exchange, compared to EDI and bilateral data exchange. The case study is a company in the textile retail industry and its suppliers. Two surveys were conducted, one within the company and one with its suppliers, as well as an internal interview to determine which advantages and disadvantages of EDI currently exist and are the most significant. During the analysis of the responses, interim conclusions were drawn and questions were drafted, which were then discussed during the interview with the Data-Space Expert. A final analysis follows. In conclusion, the work shows that DataSpaces have the potential to fundamentally change multilateral data exchange in value networks. Future developments and research areas should focus on further developing and optimising DataSpaces to fully exploit their potential. The results of this study highlight the relevance and transformational potential of DataSpaces for multilateral data sharing and improving efficiency and collaboration across industries.

Date of Award	2024
Original language	German (Austria)
Supervisor	Michael Plasch (Supervisor)