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Erschienen in:
Temporal Network Representation of Event Logs for Improved Performance Modelling in Business Processes Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Analysis of Knowledge-Intensive Processes Focused on the Communication Perspective

verfasst von : Pedro Henrique Piccoli Richetti, João Carlos de A.R. Gonçalves, Fernanda Araujo Baião, Flávia Maria Santoro

Erschienen in: Business Process Management

Verlag: Springer International Publishing

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Abstract

Knowledge-intensive Processes (KiPs) are unstructured processes that demand an understanding beyond control flow and data. Being knowledge-centric and varying at each instance, KiPs demand new perspectives for proper process analysis. Most KiPs have strong collaboration characteristics, where interactions among participants are crucial to achieve process goals. Process participants perform activities and collaborate with each other, driven by their Beliefs, Desires and Intentions; therefore, the analysis of these elements is vital to the correct understanding, modeling and execution of a KiP. This research proposes a method based on Speech Act Theory and Process Mining to discover the flow of speech acts related to Beliefs, Desires and Intentions from event logs, and shows how this relation fosters process performance analysis. The approach was evaluated through a case study in a real life scenario, and results showed that relevant insights in forms of speech acts flow patterns were discovered and related to performance issues of the KiP.

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Vorheriges Kapitel An Eye into the Future: Leveraging A-priori Knowledge in Predictive Business Process Monitoring
Nächstes Kapitel TESSERACT: Time-Drifts in Event Streams Using Series of Evolving Rolling Averages of Completion Times
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Metadaten
Titel
Analysis of Knowledge-Intensive Processes Focused on the Communication Perspective
verfasst von
Pedro Henrique Piccoli Richetti
João Carlos de A.R. Gonçalves
Fernanda Araujo Baião
Flávia Maria Santoro
Copyright-Jahr
2017
Buch
Business Process Management

Print ISBN: 978-3-319-64999-3

Electronic ISBN: 978-3-319-65000-5

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-65000-5_16

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