The present paper deals with the problem of collaboration at strategic level in innovation-oriented Virtual Enterprises. The problem is taken from the perspective of sharing a special kind of data, Key Performance Indicators, that are measures adopted to monitor the achievement of certain strategic goals. We discuss the main conflicts that can arise in measures coming from autonomous enterprises, adopting the conceptual multidimensional cube model. Then we propose a novel semantic model to deal with conflicts related to the structure of a measure, that arise when the "same" KPI is calculated in different ways by different enterprises. Finally, conflict reconciliation strategies enabled by the semantic model are discussed. © Springer International Publishing Switzerland 2014.
CITATION STYLE
Diamantini, C., Potena, D., & Storti, E. (2014). Data mart reconciliation in virtual innovation factories. In Lecture Notes in Business Information Processing (Vol. 178 LNBIP, pp. 274–285). Springer Verlag. https://doi.org/10.1007/978-3-319-07869-4_26
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