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International Conference on Future Data and Security Engineering

FDSE 2020: Future Data and Security Engineering pp 411–428Cite as

Toward an Ontology for Improving Process Flexibility

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12466))

Abstract

Process flexibility supports organisations to deal with changes, uncertainty, variations, and exceptions in business operations. Although several taxonomies of process flexibility have been proposed, the domain still lacks an ontological structure that clarifies and organises the domain. The current study fills this gap by building an ontology for improving process flexibility. Our results identify main business contexts, cases, dynamic modelling techniques, mechanisms to manage process flexibility, and their hierarchy relationships, which are structured into an ontology. The current study is significant as it provides a theoretical blueprint for improving the flexibility of organisational business processes.

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Acknowledgement

We would like to thank Nguyen Quoc Hung for his research assistance.

Author information

Authors and Affiliations

  1. RMIT University Vietnam, 702 Nguyen van Linh Blvd., Ho Chi Minh City, Vietnam

    Nguyen Hoang Thuan, Hoang Ai Phuong, Majo George & Mathews Nkhoma

  2. University of Lisbon, 1749-016, Lisbon, Portugal

    Pedro Antunes

Authors
  1. Nguyen Hoang Thuan
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  2. Hoang Ai Phuong
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  3. Majo George
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  4. Mathews Nkhoma
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  5. Pedro Antunes
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Corresponding author

Correspondence to Nguyen Hoang Thuan .

Editor information

Editors and Affiliations

  1. Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam

    Tran Khanh Dang

  2. Johannes Kepler University of Linz, Linz, Austria

    Josef Küng

  3. Hosei University, Tokyo, Japan

    Makoto Takizawa

  4. Sungkyunkwan University, Suwon, Korea (Republic of)

    Tai M. Chung

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Thuan, N.H., Phuong, H.A., George, M., Nkhoma, M., Antunes, P. (2020). Toward an Ontology for Improving Process Flexibility. In: Dang, T.K., Küng, J., Takizawa, M., Chung, T.M. (eds) Future Data and Security Engineering. FDSE 2020. Lecture Notes in Computer Science(), vol 12466. Springer, Cham. https://doi.org/10.1007/978-3-030-63924-2_24

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  • DOI: https://doi.org/10.1007/978-3-030-63924-2_24

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