@inproceedings{1b8765ab1ddf41ab9d9e35ec9430fe3d,
title = "A Preliminary Survey on Innovation Process Management Systems",
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.",
author = "Claudia Diamantini and Laura Genga and Domenico Potena",
year = "2013",
doi = "10.1007/978-3-642-41366-7_8",
language = "English",
isbn = "978-3-642-41365-0",
series = "Lecture Notes in Computer Science ",
publisher = "Springer",
pages = "92--103",
editor = "Alfredo Cuzzocrea and Sofian Maabout",
booktitle = "Model and Data Engineering",
address = "Germany",
note = "The 3rd International Conference on Model & Data Engineering, MEDI 2013 ; Conference date: 25-09-2013 Through 27-09-2013",
}