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Governance Knowledge Management and Decision Support Using Fuzzy Governance Maps

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Business Process Management Workshops (BPM 2016)

Abstract

Business process management systems incorporate the possibility of monitoring the behaviour of a company, by observing their business process indicators. Depending on the process executed, and the order of their performances, certain KPIs can be modified to render the company more competitive. This paper proposes the creation of a model-based fuzzy logic that can represent the relation between KPIs and the business processes of the companies. The use of this graph enables business experts to simulate the evolution of the business according to the decisions taken in the governance process, thereby helping in governance activities.

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Acknowledgement

This work has been partially funded by the Ministry of Science and Technology of Spain (TIN2015-63502-C3-2-R) and the European Regional Development Fund (ERDF/FEDER). Thanks to Lesley Burridge for the revision of the English version of the manuscript.

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Correspondence to José Miguel Pérez-Álvarez .

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Pérez-Álvarez, J.M., Gómez-López, M.T., Varela-Vaca, A.J., de la Rosa Troyano, F.F., Gasca, R.M. (2017). Governance Knowledge Management and Decision Support Using Fuzzy Governance Maps. In: Dumas, M., Fantinato, M. (eds) Business Process Management Workshops. BPM 2016. Lecture Notes in Business Information Processing, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-319-58457-7_16

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  • DOI: https://doi.org/10.1007/978-3-319-58457-7_16

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-58457-7

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