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Decomposition of Tasks in Business Process Outsourcing

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Business Information Systems (BIS 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 288))

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Abstract

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.

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Notes

  1. 1.

    See www.troux.com.

  2. 2.

    GEM = Generic Enterprise Modeling language.

  3. 3.

    EDIFACT = Electronic Data Interchange for Administration, Commerce and Transport (cf. http://www.unece.org/cefact/edifact/welcome.html).

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Acknowledgements

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.

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Correspondence to Kurt Sandkuhl .

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Sandkuhl, K., Smirnov, A., Shilov, N. (2017). Decomposition of Tasks in Business Process Outsourcing. In: Abramowicz, W. (eds) Business Information Systems. BIS 2017. Lecture Notes in Business Information Processing, vol 288. Springer, Cham. https://doi.org/10.1007/978-3-319-59336-4_21

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  • DOI: https://doi.org/10.1007/978-3-319-59336-4_21

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  • Print ISBN: 978-3-319-59335-7

  • Online ISBN: 978-3-319-59336-4

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