@inproceedings{c4c3b0e5ff454f72a6ac8bcab8a21022,
title = "Determining the Collaboration Maturity of Organizational Teams: A Study in the Automotive Industry",
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.",
keywords = "Chief Knowledge Officer, Collaboration, Collaboration Quality, Collaboration Technology, IT, Maturity Model, Performance, Virtual Team",
author = "Imed Boughzala and {de Vreede}, {Gert Jan}",
year = "2013",
doi = "10.1007/978-3-642-37186-8_26",
language = "English",
isbn = "9783642371851",
series = "Communications in Computer and Information Science",
pages = "393--406",
booktitle = "Knowledge Discovery, Knowledge Engineering and Knowledge Management",
}