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Team Roles at Work
Abstract
Belbin’s renowned Team Role theory is a familiar concept for managersand management trainers across the world. Following on from the best-selling Management Teams: Why theysucceed or fail, this second edition of Team Roles at Work provides usefulinsights into how to apply the theory in everyday work situations. This book explores the impact of Team Roles from interpersonalchemistry and managing difficult relationships, to cultivating effectiveleaders and shaping organizations. Now fully updated, this second edition has new practical examplesand summaries bringing this book up to date 17 years after itsoriginal publication. Drawing from Belbin’s own practical experienceit answers the queries that have arisen during those years. Furtherinformation accompanies the book on the Belbin website,www.belbin.com/books/books.htm including a free, downloadable,full-page summary of Team Roles with their icons, descriptions,strengths and allowable weaknesses. Team Roles at Work is the best-selling, second book written byMeredith Belbin, designed for any manager who wants to understandthe practical application of Team Role theory. R. Meredith Belbin was formerly Chairman of the Industrial TrainingResearch Unit. A founder Member of Belbin Associates, he is also VisitingProfessor and Honorary Fellow of Henley Management College. RELATED TITLESBelbin, Management Teams: Why they succeed or fail, 3e, ISBN: 978-1-85617-8075
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“To determine these possible characteristics and to construct possible team roles for AI-based team members, we developed a questionnaire based on existing role descriptions, including characteristics, skills, and behaviors of team role concepts by Belbin (2012), Margerison et al. (1986), and Benne and Sheats (1948).”
From Elaborating Team Roles for Artificial Intelligence-based Teammates in Human-AI Collaboration (2022) · cites this paper as Belbin (2012)
In the citing paper
“In Belbin's team concept, the role is comparable to the co-ordinator, resource-investigator, and shaper (Belbin 2012).”
From Elaborating Team Roles for Artificial Intelligence-based Teammates in Human-AI Collaboration (2022) · cites this paper as Belbin 2012
In the citing paper
“Rather, it is important that all actors fulfill their roles, as their skills and behaviors are not only necessary for the functioning of the team, but also entail certain expectations from other team members (Belbin 2012).”
From Elaborating Team Roles for Artificial Intelligence-based Teammates in Human-AI Collaboration (2022) · cites this paper as Belbin 2012
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Citations
Cited by
Professional Learning Communities: A Review of the Literature
Stoll, L., Bolam, R., McMahon, A., Wallace, M., & Thomas, S. (2006) · Journal of Educational Change · doi:10.1007/s10833-006-0001-8 · Cited by 2,570
How leaders influence the impact of affective events on team climate and performance in R&D teams
Pirola-Merlo, A., Härtel, C., Mann, L., & Hirst, G. (2002) · The Leadership Quarterly · doi:10.1016/s1048-9843(02)00144-3 · Cited by 451
A Review and Integration of Team Composition Models: Moving Toward a Dynamic and Temporal Framework
Mathieu, J. E., Tannenbaum, S. I., Donsbach, J. S., & Alliger, G. M. (2014) · Journal of Management · doi:10.1177/0149206313503014 · Cited by 408
Self-Organizing Roles on Agile Software Development Teams
Hoda, R., Noble, J., & Marshall, S. (2013) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2012.30 · Cited by 330
Self-collaboration code generation via ChatGPT
Dong, Y., Jiang, X., Jin, Z., & Li, G. (2024) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3672459 · Cited by 256
“The benefits of collaborative teamwork are manifold: (1) It breaks down complex tasks into smaller subtasks, making the entire code generation process more efficient and controllable.”
Metadata
- Authors
- Belbin, R. M.
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2012-05-23
- OpenAlex
- W1548944277
- Cited by
- 734
- References
- 0
- FWCI
- 53.77
- Type
- book
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
