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Authors: Dulce Pacheco 1 ; David Aveiro 2 and Nelson Tenório 3

Affiliations: 1 Madeira Interactive Technologies Institute, Funchal and Portugal ; 2 Madeira Interactive Technologies Institute, Funchal, Portugal, Faculdade de Ciências Exatas e da Engenharia, University of Madeira, Funchal and Portugal ; 3 Instituto Cesumar de Ciência, Tecnologia e Inovação (ICETI), Maringá, Paraná and Brazil

ISBN: 978-989-758-382-7

Keyword(s): Causal Analysis, Ishikawa Diagram, Organizational Change, Organizational Engineering, Organizations.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Engineering ; Domain Analysis and Modeling ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Enterprise Ontology ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Symbolic Systems

Abstract: Enterprises are dynamic systems that struggle to adapt to the constant changes in their environment. The complexity of these systems frequently originates inefficiencies that turn into the loss of resources and might even compromise organizations’ viability. Control and G.O.D. (sub)organizations allow enterprises to specify measures and viability norms that help to identify, acknowledge, and handle exceptions. Organizational engineering processes are deployed to treat dysfunctions within the G.O.D. organization but often fail to eliminate or circumvent the root cause of it. In this paper, we propose an extension in the model to allow a thorough investigation of the root causes of dysfunctions within the organizational engineering processes. Grounded on the seven guidelines for Information System Research in the design-science paradigm, we claim that the organizational engineering process should be supplemented with a systematic and broader investigation of causes, namely the Ishikawa approach of cause-and-effect analysis. The main contributions of this paper are the improvement of the organizational engineering process for handling unexpected exceptions in reactive change dynamics and the freely available Dysfunctions Bank with common dysfunctions and its probable causes. This work should trigger a reduction in the number of organizational dysfunctions and help to keep updated the organizational self and the organization’s ontological model. (More)

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Paper citation in several formats:
Pacheco, D.; Aveiro, D. and Tenório, N. (2019). Organizational Engineering Processes: Integration of the Cause-and-Effect Analysis in the Detection of Exception Kinds.In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-382-7, pages 479-486. DOI: 10.5220/0008364904790486

@conference{keod19,
author={Dulce Pacheco. and David Aveiro. and Nelson Tenório.},
title={Organizational Engineering Processes: Integration of the Cause-and-Effect Analysis in the Detection of Exception Kinds},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2019},
pages={479-486},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008364904790486},
isbn={978-989-758-382-7},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Organizational Engineering Processes: Integration of the Cause-and-Effect Analysis in the Detection of Exception Kinds
SN - 978-989-758-382-7
AU - Pacheco, D.
AU - Aveiro, D.
AU - Tenório, N.
PY - 2019
SP - 479
EP - 486
DO - 10.5220/0008364904790486

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