A Method for Integrated Modeling of KiPs and Contextual Goals

Zeynep Ozturk Yurt*, Rik Eshuis, Banu Aysolmaz, Anna Wilbik, Irene Vanderfeesten

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

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Abstract

Knowledge-intensive processes (KiPs) progress in a flexible way towards the achievement of process goals. Contextual factors like location and regulations affect how these goals are achieved in KiPs. Conventionally, a context is considered to be either static or dynamic. For some KiPs part of the context can be dynamic, meaning that the context can change during the execution of the KiP as a result of the decisions and interpretations of the knowledge-worker based on the information gained throughout the process. A holistic approach linking dynamic context, goals and processes is vital for modeling such KiPs. This paper presents a method, based on enterprise models, for integrated modeling of KiPs with contextual goals under dynamic contexts. With our method, we guide business analysts in modeling complex, flexible KiPs under dynamic contexts.
Original languageEnglish
Title of host publicationCooperative Information Systems
Subtitle of host publication28th International Conference, CoopIS 2022, Bozen-Bolzano, Italy, October 4–7, 2022, Proceedings
EditorsMohamed Sellami, Paolo Ceravolo, Hajo A. Reijers, Walid Gaaloul, Hervé Panetto
PublisherSpringer, Cham
Pages322-332
Number of pages11
ISBN (Electronic)978-3-031-17834-4
ISBN (Print)978-3-031-17833-7
DOIs
Publication statusPublished - 2022
Event28th International Conference on Cooperative Information Systems - Bozen-Bolzano
Duration: 4 Oct 20227 Oct 2022
Conference number: CoopIS 2022

Publication series

SeriesLecture Notes in Computer Science
Volume13591
ISSN0302-9743

Conference

Conference28th International Conference on Cooperative Information Systems
CityBozen-Bolzano
Period4/10/227/10/22

Keywords

  • Context
  • Enterprise modeling
  • Goal modeling
  • Knowledge-intensive process
  • Process modeling

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