Determining the Collaboration Maturity of Organizational Teams: A Study in the Automotive Industry

Imed Boughzala, Gert Jan de Vreede

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many researchers argue that the quality of collaboration directly affects the quality of an organization's outcomes and performance. This paper reports on the first field application of a Collaboration Maturity Model (Col-MM) through an automotive field study. This model was empirically developed during a series of Focus Group meetings with professional collaboration experts to maximize its relevance and practical applicability. Col-MM is intended to be sufficiently generic to be applied to any type of collaboration and useable to assess the collaboration maturity of a given team holistically through self-assessments performed by practitioners. The purpose of the study reported in this paper was to apply and evaluate the use of the Col-MM in practice. The results should be of interest to academic researchers and information systems practitioners interested in collaboration maturity assessment. The paper further serves as a starting point for future research in this area.

Original languageEnglish (US)
Title of host publicationKnowledge Discovery, Knowledge Engineering and Knowledge Management
Subtitle of host publicationThird International Joint Conference, IC3K 2011 Paris, France, October 26-29, 2011 Revised Selected Papers
PublisherSpringer Verlag
Pages393-406
Number of pages14
ISBN (Print)9783642371851
DOIs
StatePublished - Jan 1 2013

Publication series

NameCommunications in Computer and Information Science
Volume348
ISSN (Print)1865-0929

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Keywords

  • Chief Knowledge Officer
  • Collaboration
  • Collaboration Quality
  • Collaboration Technology
  • IT
  • Maturity Model
  • Performance
  • Virtual Team

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

Cite this

Boughzala, I., & de Vreede, G. J. (2013). Determining the Collaboration Maturity of Organizational Teams: A Study in the Automotive Industry. In Knowledge Discovery, Knowledge Engineering and Knowledge Management: Third International Joint Conference, IC3K 2011 Paris, France, October 26-29, 2011 Revised Selected Papers (pp. 393-406). (Communications in Computer and Information Science; Vol. 348). Springer Verlag. https://doi.org/10.1007/978-3-642-37186-8_26