Abstract
In last decades innovation management has turned out to be a key factor in organizations growth, thus stimulating a strong research activity about such a topic. In the present work we analyse the current state of Literature regarding innovation modelling and management, taking into account different approaches with their main features. Elaborating upon such investigation, we identify open research issues and fruitful research directions for the development of data-driven, analysis-based innovation support and management systems. Finally we introduce the main features of our own approach, based on the analysis of traces generated by innovation activities, following the principles of Process Mining methods, of which an overview is delineated. © Springer-Verlag 2013.
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CITATION STYLE
Diamantini, C., Genga, L., & Potena, D. (2013). A preliminary survey on innovation process management systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8216 LNCS, pp. 92–103). Springer Verlag. https://doi.org/10.1007/978-3-642-41366-7_8
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