Can organisational theory and multi-agent systems influence next generation enterprise modelling?
Conference paper
Barn, B., Clark, T. and Kulkarni, V. 2015. Can organisational theory and multi-agent systems influence next generation enterprise modelling? Holzinger, A., Cardoso, J., Cordeiro, J., Libourel, T., Maciaszek, L. and van Sinderen, M. (ed.) 9th International Conference on Software Engineering and Applications. Vienna, Austria 29 - 31 Aug 2014 Cham Springer. https://doi.org/10.1007/978-3-319-25579-8_12
Type | Conference paper |
---|---|
Title | Can organisational theory and multi-agent systems influence next generation enterprise modelling? |
Authors | Barn, B., Clark, T. and Kulkarni, V. |
Abstract | This paper proposes that the current enterprise modelling approaches are overly reliant on the know how or tacit knowledge of enterprise architects for addressing organisational challenges such as business-IT alignment. Furthermore, current modelling languages only encourage linear thinking. By drawing upon existing research on (computational) organisation theory and multi-agent systems, we propose implementation requirements for a next generation enterprise modelling language that supports agent based simulation. The language is motivated by a detailed case study that illustrates the benefit of using simulation style languages. |
Keywords | Organisation theory; Multi-agent systems; Actor theory; Enterprise modelling |
Conference | 9th International Conference on Software Engineering and Applications |
Proceedings Title | Software Technologies: 9th International Joint Conference, ICSOFT 2014, Vienna, Austria, August 29-31, 2014, Revised Selected Papers |
Series | Communications in Computer and Information Science |
Editors | Holzinger, A., Cardoso, J., Cordeiro, J., Libourel, T., Maciaszek, L. and van Sinderen, M. |
ISSN | 1865-0929 |
Electronic | 1865-0937 |
ISBN | |
Paperback | 9783319255781 |
Electronic | 9783319255798 |
Publisher | Springer |
Place of publication | Cham |
Publication dates | |
Online | 17 Oct 2015 |
27 Oct 2015 | |
Publication process dates | |
Deposited | 29 Jan 2024 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-319-25579-8_12 |
Scopus EID | 2-s2.0-84951037358 |
Web of Science identifier | WOS:000369296800012 |
Web address (URL) of conference proceedings | https://doi.org/10.1007/978-3-319-25579-8 |
Language | English |
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