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Main Title: Trust Mining: Analyzing Trust in Collaborative Business Processes
Author(s): Müller, Marcel
Ostern, Nadine
Koljada, Denis
Grunert, Kai
Rosemann, Michael
Küpper, Axel
Type: Article
Abstract: The ongoing digital transformation and internationalization of business processes cause a shift towards a more collaborative nature of processes. In such collaborations, different organizations execute separate parts of the process autonomously. This fragmentation leads to uncertainty regarding the correct execution of activities, the proper workflow, and data in the process flow. If organizations engage in business together, trust is needed. Therefore, we propose Trust Mining as an analytical approach to better understand uncertainties and the potential trust issues that arise from them. Trust Mining takes a business process model as an input and analyzes uncertainties and relationships. In the end, an evaluation regarding the trust requirements of specific stakeholders is given. Furthermore, we present a prototypical implementation and illustrate how Trust Mining can be used in trust-aware process (re-)design.
Subject(s): business process management
Issue Date: 26-Apr-2021
Date Available: 18-May-2021
Language Code: en
DDC Class: 004 Datenverarbeitung; Informatik
Sponsor/Funder: DFG, 414044773, Open Access Publizieren 2021 - 2022 / Technische Universität Berlin
Journal Title: IEEE Access
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Volume: 9
Publisher DOI: 10.1109/ACCESS.2021.3075568
Page Start: 65044
Page End: 65065
EISSN: 2169-3536
TU Affiliation(s): Fak. 4 Elektrotechnik und Informatik » Inst. Telekommunikationssysteme » FG Service-centric Networking
Appears in Collections:Technische Universität Berlin » Publications

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