| Publication type: | Conference paper |
| Type of review: | Not specified |
| 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) |
| Page(s): | 137 |
| Pages to: | 144 |
| Conference details: | CATA 2016, Las Vegas, USA, 4 - 6 April 2016 |
| Issue Date: | 2016 |
| Publisher / Ed. Institution: | Curran Associates |
| Publisher / Ed. Institution: | New York |
| ISBN: | 978-1-5108-2252-8 |
| 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/18663 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Management and Law |
| Appears in collections: | Publikationen School of Management and Law |
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