Narrative Identities for Contextualized, Human-Centric Process Knowledge Acquisition

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Articulating and representing work knowledge in models in a contextual and traceable form is an essential part of Business Process Management (BPM) activities in ecosystems of the platform economy. These ecosystems have significantly changed the way what motivates people to participate, how work is organized and how the networked stakeholders communicate. Such issues have in turn led to methodological challenges in acquiring process-relevant knowledge and mapping it to executable representations. This paper targets the perception of tasks of individual role carriers in the platform economy, and offers a corresponding elicitation and documentation scheme that finally supports the specification of business process models. Contextual process knowledge acquisition and representation is suggested applying Ricœur’s concept of Narrative Identity. Self-knowledge is captured by individual stories on task-relevant information and interaction. The stories are analyzed by means of Rhetorical Structure Theory to identify information on business processes. The resulting representation facilitates business process modeling and validation. A first case study utilizing subject-orientation confirms the approach’s potential and helps identifying topics for further research.
Original languageEnglish
Title of host publicationSubject-Oriented Business Process Management. Process Customer Satisfaction and Process Excellence - 16th International Conference, S-BPM ONE 2025, Proceedings
Subtitle of host publicationProcess Customer Satisfaction and Process Excellence. S-BPM ONE 2025.
EditorsMatthes Elstermann, Matthias Lederer
PublisherSpringer Nature Switzerland AG
Pages146-160
Number of pages15
Edition1
ISBN (Electronic)978-3-032-04944-5
ISBN (Print)978-3-032-04943-8
DOIs
Publication statusPublished - 2026

Publication series

NameCommunications in Computer and Information Science
Volume2630 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Fields of science

  • 102 Computer Sciences
  • 102006 Computer supported cooperative work (CSCW)
  • 603124 Theory of science
  • 102027 Web engineering
  • 102015 Information systems
  • 102025 Distributed systems
  • 509018 Knowledge management
  • 102024 Usability research

JKU Focus areas

  • Digital Transformation

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