The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Multilevel theory of team decision making: Decision performance in teams incorporating distributed expertise.
Abstract
The purpose of this research was to develop and test a theory of decision-making performance for hierarchical teams with distributed expertise. This theory identifies 3 core team-level constructs (team informity, staff validity, and hierarchical sensitivity) and 3 constructs below the team level that are central to decision-making accuracy in hierarchical teams with distributed expertise. Two studies are presented to test the proposed theory. A total of 492 college students worked on a computerized command-and-control simulator. Results from these studies are discussed in light of the theory. Similarities and differences in results across the 2 studies are discussed, as are potential modifications of the theory considering the data. Finally, implications of the theory for applied team contexts are elaborated
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Metadata
- Authors
- Hollenbeck, J. R., Ilgen, D. R., Sego, D. J., Hedlund, J., Major, D. A., & Phillips, J.
- Affiliations
- Michigan State University (US)
- Venue
- Journal of Applied Psychology
- Published
- 1995-04
- Volume
- 80
- Issue
- 2
- Pages
- 292-316
- ISSN
- 0021-9010 (ISSN-L)
- 1939-1854
- OpenAlex
- W2000597006
- Cited by
- 381
- References
- 31
- Citations by year
- 2026: 7 · 2025: 4 · 2024: 6 · 2023: 12 · 2022: 8 · 2021: 8 · 2020: 12 · 2019: 10 · 2018: 9 · 2017: 14 · 2016: 19 · 2015: 9 · 2014: 15 · 2013: 18 · 2012: 30
- FWCI
- 12.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Applied Psychology (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
- Physical Sciences › Engineering › Control and Systems Engineering › Military Strategy and Technology
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Keywords
- team decision-making, multilevel theory, hierarchical teams, distributed expertise, decision accuracy
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