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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Seeber, I. Waldhart, G. Maier, R. Hecht, M. Kaschig, A. Hrastnik, J. |
| Copyright Year | 2013 |
| Abstract | In the context of designing supportive organizational and IT-based measures, understanding the effects of knowledge application and the support for innovation in different team settings are topics that have received increased scholarly attention. While the effects of knowledge application and support for innovation have been investigated and confirmed independently from each other, their joint influence in connection with team characteristics remains unexplored. This paper fills this gap by examining how and why team characteristics, such as task organization, task non-routine ness, IT support and the integration of expertise, come to affect team performance. Our analysis of survey data collected from 203 team members in two medium-sized organizations suggests that the factors 'knowledge application', 'support for innovation', 'task organization' and 'IT support' all exert some influence on team performance. Additional focus group data provided insights into measures, which organizations and managers can adopt to improve the performances of their teams. |
| Starting Page | 559 |
| Ending Page | 568 |
| File Size | 314135 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781467359337 |
| ISSN | 15301605 |
| e-ISBN | 9780769548920 |
| DOI | 10.1109/HICSS.2013.116 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-01-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Technological innovation Organizations Collaboration Standards organizations Analysis of variance Context Meteorology team performance knowledge application knowledge work mixed methods support for innovation |
| Content Type | Text |
| Resource Type | Article |
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