Abstract
Finding human resources with the required set of skills, experience, and availability to execute an activity at a specific moment, is a socio-technical challenge for enterprises that use business-process aware systems. On an intra-organizational level, there exists an increasing body of knowledge for automated human-resource management. However, the recent pervasiveness of service-oriented cloud computing combined with mobile devices and big data, has resulted in the emergence of crossorganizational ecosystems in which workforce is distributed. Consequently, human-resource management has to consider more requirements compared to a purely intra-organizational setting. This position paper addresses the gap and describes a set of challenges in the management of human resources in service outsourcing scenarios based on process views and automatic process-view matching. The contribution is a specification of research directions that must be pursued so that resource management successfully adopts the special requirements for scaling to a cross-organizational level.
This work was partially supported by the European Union’s Seventh Framework Programme (FP7/2007-2013), the European Commission (FEDER), the Spanish and the Andalusian R&D&I programmes (grants 318275 (GET Service), P12-TIC-1867 (COPAS), TIN2012-32273 (TAPAS), TIC-5906 (THEOS)).
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Cabanillas, C., Norta, A., Resinas, M., Mendling, J., Ruiz-Cortés, A. (2014). Towards Process-Aware Cross-Organizational Human Resource Management. In: Bider, I., et al. Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2014 2014. Lecture Notes in Business Information Processing, vol 175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43745-2_6
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