@inproceedings{ac445358345c45d587f4bbb878b793b8,
title = "Automated monitoring of collaborative working environments for supporting open innovation",
abstract = "Open Innovation is a complex procedure that requires effective management and control along the different stages of the overall process. The automated monitoring of Open Innovation is the aim of a collaborative working environment designed, developed and tested in our research labs. This paper illustrates our solution and provides an assessment of the monitoring capabilities implemented. In particular, we propose a data model with a general approach for defining metrics and a list of metrics enabling automated monitoring with an evaluation of their informative power.",
keywords = "and innovation metrics, Collaboration, Collaborative open innovation management, Frameworks and methodologies for large scale collaboration",
author = "Kiani, {Muhammad Muneeb} and Paolo Ceravolo and Antonia Azzini and Ernesto Damiani",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 13th International Conference on Knowledge Management in Organizations, KMO 2018 ; Conference date: 06-08-2018 Through 10-08-2018",
year = "2018",
doi = "10.1007/978-3-319-95204-8_15",
language = "British English",
isbn = "9783319952031",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "167--178",
editor = "Branislav Hadzima and Lorna Uden and I-Hsien Ting",
booktitle = "Knowledge Management in Organizations - 13th International Conference, KMO 2018, Proceedings",
address = "Germany",
}