Managing business processes as an information resource
IBM Systems Journal
Toward Reference Models for Requirements Traceability
IEEE Transactions on Software Engineering
Common Knowledge: How Companies Thrive by Sharing What They Know
Common Knowledge: How Companies Thrive by Sharing What They Know
Proceedings of the 17th International Conference on Data Engineering
Flexible Workflow Management Systems: An Approach Based on Generic Process Models
DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
Shooting stars in the sky: an online algorithm for skyline queries
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Measuring Similarity between Business Process Models
CAiSE '08 Proceedings of the 20th international conference on Advanced Information Systems Engineering
Inventing Less, Reusing More, and Adding Intelligence to Business Process Modeling
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Efficient skyline querying with variable user preferences on nominal attributes
Proceedings of the VLDB Endowment
Supporting Flexible Processes through Recommendations Based on History
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Development of a decision-making strategy to improve the efficiency of BPR
Expert Systems with Applications: An International Journal
Online Skyline Analysis with Dynamic Preferences on Nominal Attributes
IEEE Transactions on Knowledge and Data Engineering
ADEPT workflow management system: flexible support for enterprise-wide business processes
BPM'03 Proceedings of the 2003 international conference on Business process management
On the discovery of preferred work practice through business process variants
ER'07 Proceedings of the 26th international conference on Conceptual modeling
Process equivalence: comparing two process models based on observed behavior
BPM'06 Proceedings of the 4th international conference on Business Process Management
Managing process variants as an information resource
BPM'06 Proceedings of the 4th international conference on Business Process Management
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The importance of process improvement and the role that best practice reference models play in the achievement of process improvement are both well recognized. Best practice reference models are generally created by experts who are external to the organisation. However, best practices can be implicitly derived from the work practices of actual workers within the organisation, especially when there is opportunity for variance within the work, i.e. there may be different approaches to achieve the same process goal. In this paper, the authors propose to support improvement of process performance intrinsically by utilizing the experiences and knowledge of business process users to inform and improve the current practices. The proposed methodology is inspired by the theory of positive deviance. By utilizing a multiple criteria decision making approach and Shannon's entropy method of information theory in determining useful information from uncertain data within execution log of business process, the authors are able to define the "best" and most suitable previous practices as a recommendation that fits with the current competence/experience levels of individuals. The authors demonstrate that the proposed method is capable to generate meaningful recommendations from large data sets and effectively facilitating learning within organisation leading to process performance improvement.