Automated monitoring of collaborative working environments for supporting open innovation

Muhammad Muneeb Kiani; Paolo Ceravolo; Antonia Azzini; Ernesto Damiani

doi:10.1007/978-3-319-95204-8_15

Automated monitoring of collaborative working environments for supporting open innovation

Muhammad Muneeb Kiani
, Paolo Ceravolo
, Antonia Azzini
, Ernesto Damiani

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	British English
Title of host publication	Knowledge Management in Organizations - 13th International Conference, KMO 2018, Proceedings
Editors	Branislav Hadzima, Lorna Uden, I-Hsien Ting
Publisher	Springer Verlag
Pages	167-178
Number of pages	12
ISBN (Print)	9783319952031
DOIs	https://doi.org/10.1007/978-3-319-95204-8_15
State	Published - 2018
Event	13th International Conference on Knowledge Management in Organizations, KMO 2018 - Zilina, Slovakia Duration: 6 Aug 2018 → 10 Aug 2018

Publication series

Name	Communications in Computer and Information Science
Volume	877
ISSN (Print)	1865-0929

Conference

Conference	13th International Conference on Knowledge Management in Organizations, KMO 2018
Country/Territory	Slovakia
City	Zilina
Period	6/08/18 → 10/08/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

and innovation metrics
Collaboration
Collaborative open innovation management
Frameworks and methodologies for large scale collaboration

Access to Document

10.1007/978-3-319-95204-8_15

OpenUrl availability

Full text

Cite this

Kiani, M. M., Ceravolo, P., Azzini, A., & Damiani, E. (2018). Automated monitoring of collaborative working environments for supporting open innovation. In B. Hadzima, L. Uden, & I.-H. Ting (Eds.), Knowledge Management in Organizations - 13th International Conference, KMO 2018, Proceedings (pp. 167-178). (Communications in Computer and Information Science; Vol. 877). Springer Verlag. https://doi.org/10.1007/978-3-319-95204-8_15

Kiani, Muhammad Muneeb ; Ceravolo, Paolo ; Azzini, Antonia et al. / Automated monitoring of collaborative working environments for supporting open innovation. Knowledge Management in Organizations - 13th International Conference, KMO 2018, Proceedings. editor / Branislav Hadzima ; Lorna Uden ; I-Hsien Ting. Springer Verlag, 2018. pp. 167-178 (Communications in Computer and Information Science).

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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.",

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author = "Kiani, \{Muhammad Muneeb\} and Paolo Ceravolo and Antonia Azzini and Ernesto Damiani",

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Kiani, MM, Ceravolo, P, Azzini, A & Damiani, E 2018, Automated monitoring of collaborative working environments for supporting open innovation. in B Hadzima, L Uden & I-H Ting (eds), Knowledge Management in Organizations - 13th International Conference, KMO 2018, Proceedings. Communications in Computer and Information Science, vol. 877, Springer Verlag, pp. 167-178, 13th International Conference on Knowledge Management in Organizations, KMO 2018, Zilina, Slovakia, 6/08/18. https://doi.org/10.1007/978-3-319-95204-8_15

Automated monitoring of collaborative working environments for supporting open innovation. / Kiani, Muhammad Muneeb; Ceravolo, Paolo; Azzini, Antonia et al.
Knowledge Management in Organizations - 13th International Conference, KMO 2018, Proceedings. ed. / Branislav Hadzima; Lorna Uden; I-Hsien Ting. Springer Verlag, 2018. p. 167-178 (Communications in Computer and Information Science; Vol. 877).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Automated monitoring of collaborative working environments for supporting open innovation

AU - Kiani, Muhammad Muneeb

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AU - Azzini, Antonia

AU - Damiani, Ernesto

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - and innovation metrics

KW - Collaboration

KW - Collaborative open innovation management

KW - Frameworks and methodologies for large scale collaboration

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DO - 10.1007/978-3-319-95204-8_15

M3 - Conference contribution

AN - SCOPUS:85051984473

SN - 9783319952031

T3 - Communications in Computer and Information Science

SP - 167

EP - 178

BT - Knowledge Management in Organizations - 13th International Conference, KMO 2018, Proceedings

A2 - Hadzima, Branislav

A2 - Uden, Lorna

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PB - Springer Verlag

T2 - 13th International Conference on Knowledge Management in Organizations, KMO 2018

Y2 - 6 August 2018 through 10 August 2018

ER -

Kiani MM, Ceravolo P, Azzini A, Damiani E. Automated monitoring of collaborative working environments for supporting open innovation. In Hadzima B, Uden L, Ting IH, editors, Knowledge Management in Organizations - 13th International Conference, KMO 2018, Proceedings. Springer Verlag. 2018. p. 167-178. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-95204-8_15

Automated monitoring of collaborative working environments for supporting open innovation

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

OpenUrl availability

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Cite this