Using Blockchain Technology for Cross-Organizational Process Mining – Concept and Case Study

Autor(en): Tönnissen, S.
Teuteberg, F. 
Herausgeber: Abramowicz, W.
Corchuelo, R.
Stichwörter: Blockchain; Cross-organizational; Data science; Event log analysis; Information systems; Information use, Business Process; Process analysis; Process analytics; Process Improvement; Process mining; Sub process, Data mining
Erscheinungsdatum: 2019
Herausgeber: Springer Verlag
Journal: Lecture Notes in Business Information Processing
Volumen: 354
Startseite: 121
Seitenende: 131
Zusammenfassung: 
Business processes in companies lead to an enormous number of event logs in their IT systems. Evaluating these event logs using data mining can provide companies with valuable process analysis information which can uncover process improvement potentials. However, media breaks frequently occur in these processes, so that there is a risk of optimizing isolated sub-processes only. Blockchain technology may avoid these media breaks and thus create the basis for complete event log analysis. The focus of our paper is to investigate existing requirements and to identify a blockchain based solution scenario evaluated by experts. © 2019, Springer Nature Switzerland AG.
Beschreibung: 
Conference of 22nd International Conference on Business Information Systems, BIS 2019 ; Conference Date: 26 June 2019 Through 28 June 2019; Conference Code:227439
ISBN: 9783030204815
ISSN: 18651348
DOI: 10.1007/978-3-030-20482-2_11
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068179231&doi=10.1007%2f978-3-030-20482-2_11&partnerID=40&md5=bef95ceff1a674cce2aebc49ded7f76a

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