Abstract
Business organizations continuously monitor their environments, looking out for opportunities and threats that may help/hinter the fulfilment of their objectives. We are interested in strategic business models that support such governance activities. In this paper, we focus on the concept of composite indicator and show how it can be used as basic building block for strategic business models that support evaluation and decision-making. The main results of this paper include techniques and algorithms for deriving values for composite indicators, when the relationship between a composite indicator and its component indicators cannot be fully described using well-defined mathematical functions.
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Barone, D., Jiang, L., Amyot, D., Mylopoulos, J. (2011). Composite Indicators for Business Intelligence. In: Jeusfeld, M., Delcambre, L., Ling, TW. (eds) Conceptual Modeling – ER 2011. ER 2011. Lecture Notes in Computer Science, vol 6998. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24606-7_35
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DOI: https://doi.org/10.1007/978-3-642-24606-7_35
Publisher Name: Springer, Berlin, Heidelberg
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