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.
Data Mart Reconciliation in Virtual Innovation Factories / Diamantini, Claudia; Potena, Domenico; Storti, Emanuele. - STAMPA. - 178:(2014), pp. 274-285. [10.1007/978-3-319-07869-4_26]
Data Mart Reconciliation in Virtual Innovation Factories
Diamantini, Claudia;Potena, Domenico;Storti, Emanuele
2014-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
