188/4 E-Commerce Group
Institute of Software Technology and Interactive Systems
Vienna University of Technology
Favoritenstrasse 9-11/188, A-1040 Vienna, Austria

A Case Study on Analyzing Inter-organizational Business Processes from EDI Messages using Physical Activity Mining

Authors: 
R. Engel, J. Rantham Prabhakara
Publisher: 
IEEE
Proceedings: 
HICSS-47 Proceedings
Pages: 
Year: 
2014
Type: 
Speech with proceedings
Hidden Keywords: 
Department Focus: 
Business Informatics
TU Focus: 
Computational Science and Engineering
ISBN: 
Abstract: 
In order to achieve their goals, organizations collaborate with business partners. Such collaborations represent enactments of inter-organizational business processes and may be supported through the exchange of Electronic Data Interchange (EDI) messages (e.g., electronic purchase orders, invoices etc.). For gaining insights on such processes, recently two distinct approaches for enabling the application of process mining techniques on inter-organizational business processes based on the interchanged EDI messages have been proposed: (i) Message Flow Mining (MFM) and (ii) Physical Activity Mining (PAM). In this paper, we present a case study in which we apply the PAM methodology on a real-world EDI data set obtained from a German manufacturer of consumer goods. Our results demonstrate potential insights that can be gained from applying process mining techniques in the context of inter-organizational business processes.
Abstract German: