Decomposition of Tasks in Business Process Outsourcing
In industrial areas with a highly competitive environment many enterprises consider outsourcing of IT-services as an option to reduce IT-related costs. In this context, cloud computing architectures and outsourcing of business processes into the cloud are potential candidates to improve resource utilization and to reduce operative IT-costs. In this paper, we focus on a specific aspect of cloud computing and outsourcing: the use of concepts from crowd-sourcing or crowd computing in business process outsourcing (BPO). The approach used in this paper is to bring together techniques from enterprise modeling and from crowd-computing for the purpose of business process decomposition. The contributions of the paper are an analysis of requirements to process decomposition from a business process outsourcing perspective, three different strategies for performing the decomposition and an initial validation of these strategies using an industrial case.
KeywordsBusiness Process Outsourcing Crowdsourcing Enterprise modeling Task pattern Process decomposition
This work was partially financially supported by the Project 213 within the research program I.5P of the Russian Academy of Sciences, by Government of Russian Federation, Grant 074-U01. Furthermore, it was partly financed by the German Ministry of Research and Education, research project KOSMOS-2.
- 4.Schneider, D., de Souza, J., Moraes, K.: Multidões: a nova onda do CSCW? In: 8th Brazilian Symposium on Collaborative Systems. SBSC (2011)Google Scholar
- 6.White, S.A.: Introduction to BPMN, vol. 2. IBM Cooperation, Armonk (2004)Google Scholar
- 10.Lillehagen, F., Krogstie, J.: Active Knowledge Modelling of Enterprises. Springer, Heidelberg (2009). ISBN 978-3-540-79415-8Google Scholar
- 11.Lillehagen, F.: The foundations of AKM technology. In: 10th International Conference on Concurrent Engineering (CE) Conference, Madeira, Portugal (2003)Google Scholar
- 12.Enterprise Integration Patterns. http://www.eaipatterns.com/. Accessed 26 Mar 2012
- 13.Sandkuhl, K., Smirnov, A., Shilov, N.: Configuration of automotive collaborative engineering and flexible supply networks. In: Cunningham, P., Cunningham, M. (eds.) Expanding the Knowledge Economy – Issues, Applications, Case Studies. IOS Press, Amsterdam (2007). ISBN 978-1-58603-801-4Google Scholar
- 16.Howe, J.: The rise of crowdsourcing. Wired Mag. 14, 1–4 (2006). Dorsey PressGoogle Scholar
- 17.Smirnov, A., Ponomarev, A., Shilov, N.: Hybrid crowd-based decision support in business processes. In: CENTERIS 2014, 15–17 October 2014, Lisbon, Portugal, vol. 16, pp. 376–384 (2014)Google Scholar
- 18.Kulkarni, A., Can, M., Hartmann, B.: Collaboratively crowdsourcing workflows with turkomatic. In: Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work, pp. 1003–1012. ACM (2012)Google Scholar
- 19.Little, G., Chilton, L.B., Goldman, M., Miller, R.C.: Turkit: human computation algorithms on mechanical turk. In: Proceedings of the 23nd Annual ACM Symposium on User Interface Software and Technology, pp. 57–66. ACM (2010)Google Scholar