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International Conference on Knowledge Management in Organizations

KMO 2018: Knowledge Management in Organizations pp 167–178Cite as

Automated Monitoring of Collaborative Working Environments for Supporting Open Innovation

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 877))

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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Notes

  1. 1.

    It is possible to have more than one optional attributes.

  2. 2.

    Grouping operators partition events in the Event Log, based on their values among specified attributes. They function like a GROUP BY clause in SQL.

  3. 3.

    Aggregating functions summary or aggregate the values recorded by events included in a group. The typical aggregating functions implemented in SQL are SUM, COUNT, AVERAGE, MAXIMUM and MINIMUM.

  4. 4.

    A GitHub repository including all the data about the PCA performed is available at https://github.com/muneebkiani/IF.

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Author information

Authors and Affiliations

  1. Università Degli Studi di Milano, Milan, Italy

    Muhammad Muneeb Kiani & Paolo Ceravolo

  2. Consortium for Technology Transfer, Milan, Italy

    Antonia Azzini

  3. EBTIC, Khalifa University, Abu Dhabi, UAE

    Ernesto Damiani

Authors
  1. Muhammad Muneeb Kiani
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  2. Paolo Ceravolo
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  3. Antonia Azzini
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  4. Ernesto Damiani
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Corresponding author

Correspondence to Paolo Ceravolo .

Editor information

Editors and Affiliations

  1. School of Computing, Staffordshire University, Stafford, United Kingdom

    Lorna Uden

  2. University of Žilina, Žilina, Slovakia

    Branislav Hadzima

  3. National University of Kaohsiung, Kaohsiung, Taiwan

    I-Hsien Ting

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Kiani, M.M., Ceravolo, P., Azzini, A., Damiani, E. (2018). Automated Monitoring of Collaborative Working Environments for Supporting Open Innovation. In: Uden, L., Hadzima, B., Ting, IH. (eds) Knowledge Management in Organizations. KMO 2018. Communications in Computer and Information Science, vol 877. Springer, Cham. https://doi.org/10.1007/978-3-319-95204-8_15

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  • DOI: https://doi.org/10.1007/978-3-319-95204-8_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95203-1

  • Online ISBN: 978-3-319-95204-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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