Title: A social norms based approach for enhancing decision support in business process execution
Authors : Keller, Thomas
Savarimuthu, Bastin Tony Roy
et. al : No
Proceedings: Proceedings of the 31st International Conference on Computers and Their Applications (CATA 2016)
Pages : 137
Pages to: 144
Conference details: CATA 2016, Las Vegas, USA, 4 - 6 April 2016
Publisher / Ed. Institution : Curran Associates
Publisher / Ed. Institution: New York
Issue Date: 2016
License (according to publishing contract) : Licence according to publishing contract
Type of review: Not specified
Language : English
Subjects : Norm inference; Process mining; Operational decision support
Subject (DDC) : 658.4: Executive Management
Abstract: Decision making in complex and volatile business environments is still the realm of human decision makers since their knowledge and experience are paramount in making good decisions. The standard run-of-the-mill automation approaches for making decisions do not work well in these contexts. This paper investigates the use of a socially-inspired norm inference mechanism proposed in the area of multi-agent systems to assist human users to make decisions. Using simulation results the paper demonstrates that using the norm-based mechanism results in reduced failure rates in the decision making of a knowledge worker while still providing maximum flexibility for the user to choose from a range of actions to execute.
Departement: School of Management and Law
Publication type: Conference paper
ISBN: 978-1-5108-2252-8
URI: https://digitalcollection.zhaw.ch/handle/11475/18663
Appears in Collections:Publikationen School of Management and Law

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