The curvilinear relationship between team familiarity and team innovation: A secondary data analysis. (1st September 2020)
- Record Type:
- Journal Article
- Title:
- The curvilinear relationship between team familiarity and team innovation: A secondary data analysis. (1st September 2020)
- Main Title:
- The curvilinear relationship between team familiarity and team innovation: A secondary data analysis
- Authors:
- Xie, Xiao-Yun
Ji, Hao
Luan, Kun
Zhao, Ying-Zhen - Abstract:
- Abstract: Paradoxical arguments and mixed empirical evidence coexist in the current literature concerning the relationship between team familiarity and team innovation. To resolve this contradiction, we apply habitual routines theory to propose that team familiarity and team innovation have an inverted U-shaped relationship. Using a data set of 68, 933 R&D teams in the electrical engineering industry, our results support a nonlinear relationship between team familiarity and team innovation, and suggest that the best innovative performance is produced by moderately familiar teams. Furthermore, we find that external learning can moderate this curvilinear relationship. Theoretical contributions and future implications are discussed.
- Is Part Of:
- Journal of management & organization. Volume 26:Number 5(2020)
- Journal:
- Journal of management & organization
- Issue:
- Volume 26:Number 5(2020)
- Issue Display:
- Volume 26, Issue 5 (2020)
- Year:
- 2020
- Volume:
- 26
- Issue:
- 5
- Issue Sort Value:
- 2020-0026-0005-0000
- Page Start:
- 700
- Page End:
- 718
- Publication Date:
- 2020-09-01
- Subjects:
- team familiarity, -- team innovation, -- external learning, -- R&D teams, -- electrical engineering industry
Management -- Periodicals
658.005 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=JMO ↗
http://search.informit.com.au/search;res=APAFT ↗ - DOI:
- 10.1017/jmo.2017.85 ↗
- Languages:
- English
- ISSNs:
- 1833-3672
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 15538.xml