This project is sponsored by an ARC Discovery Grant (DP130102454). The project is sponsored for the timeframe 2013-2015.
This project explores theoretical foundations of process modeling grammars and methods. The focus of the project is to enhance process modeling practice, based on insights from existing theory, such that it results in process models that are reduced in complexity and, thus, more readily understood by target users.
The program of work is a continuation of earlier research by UQ and QUT that has examined and developed ontological principles for process modeling (see http://ontology-research.com/).
- Burton-Jones, A., Recker, J., Indulska, M., Green, P., Weber, R. (2017): Assessing Representation Theory with a Framework for Pursuing Success and Failure. Management Information Systems Quarterly, Vol. 41, No. 4, In Press.
- Jabbari Sabegh, M. A. and Recker, J. (2017). Combined Use of Conceptual Models in Practice: An Exploratory Study. Journal of Database Management, Vol. 28, No. 2, pp. 56-88.
- Alter, S., Recker, J. (2017): “Using a Work System Perspective to Expand BPM Use Cases for Research”. Journal of Information Technology Theory and Application, Vol. 18, No. 1, pp. 47-71.
- Jabbari Sabegh, M. A., Recker, J., Green, P. (2016): Designing Experiments to Test the Theory of Combined Ontological Coverage. In: Proceedings of the 37th International Conference on Information Systems. Association for Information Systems, Dublin, Ireland, December 11-14, 2016.
- Recker, J. (2014): “Theorizing the Use of Multiple Conceptual Models in Combination“. In: Proceedings of the 25th Australasian Conference on Information Systems. Association for Information Systems, Auckland, New Zealand.
- Fickinger, T., Recker, J. (2013): Construct Redundancy in Process Modeling Grammars: Improving the Explanatory Power of Ontological Analysis. In: Proceedings of the 21st European Conference on Information Systems. Association for Information Systems, Utrecht, The Netherlands.