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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

Effect of Linked Rules on Business Process Model Understanding

verfasst von : Wei Wang, Marta Indulska, Shazia Sadiq, Barbara Weber

Erschienen in: Business Process Management

Verlag: Springer International Publishing

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Abstract

Business process models are widely used in organizations by information systems analysts to represent complex business requirements and by business users to understand business operations and constraints. This understanding is extracted from graphical process models as well as business rules. Prior research advocated integrating business rules into business process models to improve the effectiveness of important organizational activities, such as developing shared understanding, effective communication, and process improvement. However, whether such integrated modeling can improve the understanding of business processes has not been empirically evaluated. In this paper, we report on an experiment that investigates the effect of linked rules, a specific rule integration approach, on business process model understanding. Our results indicate that linked rules are associated with better time efficiency in interpreting business operations, less mental effort, and partially associated with improved accuracy of understanding.

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Vorheriges Kapitel Towards a Holistic Discovery of Decisions in Process-Aware Information Systems
Nächstes Kapitel On the Performance Overhead of BPMN Modeling Practices
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The Mann-Whitney U test is used to compare differences between two independent groups when the dependent variable is not normally distributed.
 
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Metadaten
Titel
Effect of Linked Rules on Business Process Model Understanding
verfasst von
Wei Wang
Marta Indulska
Shazia Sadiq
Barbara Weber
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_12

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