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Enhancing the Effectiveness of Work Groups and Teams
Abstract
Teams of people working together for a common purpose have been a centerpiece of human social organization ever since our ancient ancestors first banded together to hunt game, raise families, and defend their communities. Human history is largely a story of people working together in groups to explore, achieve, and conquer. Yet, the modern concept of work in large organizations that developed in the late 19th and early 20th centuries is largely a tale of work as a collection of individual jobs. A variety of global forces unfolding over the last two decades, however, has pushed organizations worldwide to restructure work around teams, to enable more rapid, flexible, and adaptive responses to the unexpected. This shift in the structure of work has made team effectiveness a salient organizational concern. Teams touch our lives everyday and their effectiveness is important to well-being across a wide range of societal functions. There is over 50 years of psychological research—literally thousands of studies—focused on understanding and influencing the processes that underlie team effectiveness. Our goal in this monograph is to sift through this voluminous literature to identify what we know, what we think we know, and what we need to know to improve the effectiveness of work groups and teams. We begin by defining team effectiveness and establishing the conceptual underpinnings of our approach to understanding it. We then turn to our review, which concentrates primarily on topics that have well-developed theoretical and empirical foundations, to ensure that our conclusions and recommendations are on firm footing. Our review begins by focusing on cognitive, motivational/affective, and behavioral team processes—processes that enable team members to combine their resources to resolve task demands and, in so doing, be effective. We then turn our attention to identifying interventions, or “levers,” that can shape or align team processes and thereby provide tools and applications that can improve team effectiveness. Topic-specific conclusions and recommendations are given throughout the review. There is a solid foundation for concluding that there is an emerging science of team effectiveness and that findings from this research foundation provide several means to improve team effectiveness. In the concluding section, we summarize our primary findings to highlight specific research, application, and policy recommendations for enhancing the effectiveness of work groups and teams.
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Metadata
- Authors
- Kozlowski, S. W. J., & Ilgen, D. R.
- Affiliations
- Michigan State University (US)
- Corresponding author
- Kozlowski, Steve W.J.
- Venue
- Psychological Science in the Public Interest
- Publisher
- SAGE Publications
- Published
- 2006-12
- Volume
- 7
- Issue
- 3
- Pages
- 77-124
- ISSN
- 1539-6053 (ISSN-L)
- 1529-1006
- OpenAlex
- W2111859378
- Semantic Scholar
- 2bd8f5a11c4e6f3e7b596fe1d79c1ec510531191
- Cited by
- 2,623
- References
- 309
- Citations by year
- 2026: 158 · 2025: 173 · 2024: 203 · 2023: 174 · 2022: 153 · 2021: 151 · 2020: 153 · 2019: 163 · 2018: 157 · 2017: 164 · 2016: 114 · 2015: 136 · 2014: 144 · 2013: 123 · 2012: 139
- FWCI
- 51.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Gothic.net (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Keywords
- team effectiveness, work teams, team processes, cognitive processes, motivational processes, emotional processing, behavioral processes, team-based intervention, organizational restructuring
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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