Talks and Poster Presentations (with Proceedings-Entry):
R. Khazankin, B. Satzger, S. Dustdar:
"Optimized Execution of Business Processes on Crowdsourcing Platforms";
Talk: 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2012,
Pittsburgh, United States;
- 2012-10-17; in: "Proceedings of the 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2012",
Crowdsourcing in enterprises is a promising approach for organizing a flexible workforce. Recent developments show that the idea gains additional momentum. However, an obstacle for widespread adoption is the lack of an integrated way to execute business processes based on a crowdsourcing platform. The main difference compared to traditional approaches in business process execution is that tasks or activities cannot be directly assigned but are posted to the crowdsourcing platform, while people can choose deliberately which tasks to book and
work on. In this paper we propose a framework for adaptive execution of business processes on top of a crowdsourcing platform. Based on historical data gathered by the platform we mine the booking behavior of people based on the nature and incentive of the crowdsourced tasks. Using the learned behavior model we derive an incentive management approach based on mathematical optimization that executes business processes in a cost-optimal way considering their deadlines. We evaluate our approach through simulations to prove the feasibility and effectiveness. The experiments verify our assumptions regarding
the necessary ingredients of the approach and show the advantage
of taking the booking behavior into account compared to the case
when it is partially of fully neglected.
Human-centric BPM, Crowdsourcing, Incentive Management, Adaptive Process Execution
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Project Head Schahram Dustdar:
Project Head Reinhard Pichler:
Created from the Publication Database of the Vienna University of Technology.