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Reference Modeling for Higher Education Budgeting: Applying the H2 Toolset for Conceptual Modeling of Performance-Based Funding Systems

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Business Process Management Workshops (BPM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4928))

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Abstract

The Higher Education (HE) sector has gained remarkable economic importance worldwide. There is a huge amount of institutions competing in this dynamically evolving market. Emerging concepts like new public management advise to organize HE institutions as autonomous business units that can easily be adapted to market changes. In this context, methods of performance-based funding play an important role in governing the institutions both from an external and internal perspective. However, the right choice of indicators measuring the performance turns out to be a vital factor for the success of these budgeting methods. Wrongly chosen, they may even be misleading. Whereas most studies in this field suggest particular measurement systems, our focus of research is to provide a methodology for the design of individual measurement systems. As part of this method, techniques from reference modeling can be applied in order to reuse typical measures for special situations and then further adopt and extend them. In this paper, we study the modeling language H2 which may serve as an essential part of such a methodology. We conclude with an outlook on further research.

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Arthur ter Hofstede Boualem Benatallah Hye-Young Paik

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vom Brocke, J., Buddendick, C., Simons, A. (2008). Reference Modeling for Higher Education Budgeting: Applying the H2 Toolset for Conceptual Modeling of Performance-Based Funding Systems. In: ter Hofstede, A., Benatallah, B., Paik, HY. (eds) Business Process Management Workshops. BPM 2007. Lecture Notes in Computer Science, vol 4928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78238-4_44

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  • DOI: https://doi.org/10.1007/978-3-540-78238-4_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78237-7

  • Online ISBN: 978-3-540-78238-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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