The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
The Effects of Workflow Systems on Organizations: A Qualitative Study
Business Process Management, Models, Techniques, and Empirical Studies
Organizational Management in Workflow Applications – Issues and Perspectives
Information Technology and Management
Process Aware Information Systems: Bridging People and Software Through Process Technology
Process Aware Information Systems: Bridging People and Software Through Process Technology
Dynamic user level and utility measurement for adaptive dialog in a help-desk system
SIGDIAL '00 Proceedings of the 1st SIGdial workshop on Discourse and dialogue - Volume 10
Designing games with a purpose
Communications of the ACM - Designing games with a purpose
Investigating business-IT alignment through multi-disciplinary goal concepts
Requirements Engineering
The role of conceptual modeling in managing and changing the business
ER'11 Proceedings of the 30th international conference on Conceptual modeling
Workflow resource patterns: identification, representation and tool support
CAiSE'05 Proceedings of the 17th international conference on Advanced Information Systems Engineering
A human-oriented tuning of workflow management systems
BPM'05 Proceedings of the 3rd international conference on Business Process Management
Work experience in PAIS: concepts, measurements and potentials
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
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Process-Aware Information Systems (PAIS), such as workflow systems, support organizations in optimizing their processes by increasing efficiency and structure. In such systems, the inclusion of humans beyond the typical concept of roles has not yet been paid much attention to. However, a tighter integration of human resources can be beneficial for both, employees and employers. Our contribution is the formal integration of experiences into PAIS. This integration a) enables employees to track which experiences they gain while working on process tasks, b) allows employees to express experience development goals, and c) allows employers to, based on the employees' experiences and goals, improve task allocation to employees. We introduce experience breeding, which describes how to measure experience variances that occur when employees work on certain tasks. We present a simulation design, discuss preliminary results and the potential improvements to overall task allocation effectiveness compared to standard algorithms.