What we know and what we do not know about DMN

Jan Mendling; Kathrin Figl; Gul Tokdemir; Jan Vanthienen

doi:10.18417/emisa.13.2

What we know and what we do not know about DMN

Jan Mendling, Kathrin Figl, Gul Tokdemir, Jan Vanthienen

Vienna University of Economics and Business

Publication: Scientific journal › Journal article › peer-review

Abstract

The recent Decision Model and Notation (DMN) establishes business decisions as first-class citizens of executable business processes. This research note has two objectives: first, to describe DMN's technical and theoretical foundations; second, to identify research directions for investigating DMN's potential benefits on a technological, individual and organizational level. To this end, we integrate perspectives from management science, cognitive theory and information systems research.

Original language	English
Pages (from-to)	1 - 6
Journal	Enterprise Modelling and Information Systems Architectures (Online)
Volume	13
Issue number	2
DOIs	https://doi.org/10.18417/emisa.13.2
Publication status	Published - 2018

Austrian Classification of Fields of Science and Technology (ÖFOS)

102006 Computer supported cooperative work (CSCW)
102015 Information systems
102013 Human-computer interaction
102024 Usability research
502050 Business informatics
501011 Cognitive psychology
503008 E-learning

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Cite this

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abstract = "The recent Decision Model and Notation (DMN) establishes business decisions as first-class citizens of executable business processes. This research note has two objectives: first, to describe DMN's technical and theoretical foundations; second, to identify research directions for investigating DMN's potential benefits on a technological, individual and organizational level. To this end, we integrate perspectives from management science, cognitive theory and information systems research.",

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AB - The recent Decision Model and Notation (DMN) establishes business decisions as first-class citizens of executable business processes. This research note has two objectives: first, to describe DMN's technical and theoretical foundations; second, to identify research directions for investigating DMN's potential benefits on a technological, individual and organizational level. To this end, we integrate perspectives from management science, cognitive theory and information systems research.

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DO - 10.18417/emisa.13.2

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