The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Knowledge and Performance in Knowledge-Worker Teams: A Longitudinal Study of Transactive Memory Systems
Abstract
This study examined how transactive memory systems (TMSs) emerge and develop to affect the performance of knowledge-worker teams. Sixty-four MBA consulting teams (261 members) participated in the study. I proposed that the role and function of TMSs change to meet different task and knowledge demands during a project. Hypotheses predicting that TMSs emerge during a project-planning phase as a function of a team's initial conditions, and later develop and mature as a function of the nature and frequency of communication were generally supported, as were hypothesized relationships between TMSs and team performance and viability. Findings suggest that teams with initially distributed expertise and familiar members are more likely to develop a TMS. Frequent face-to-face communication also led to TMS emergence, but communication via other means had no effect. Teams with more established TMSs later benefited from face-to-face communication, but they were less helped by frequent communication via other means, suggesting that transactive retrieval processes may have been triggered during face-to-face communication and suppressed during other types of communication. TMSs were positively related to team viability and team performance, suggesting that developing a TMS is critical to the effectiveness of knowledge-worker teams.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
Differentiation and Integration in Complex Organizations
Lawrence, P. R., & Lorsch, J. W. (1967) · Administrative Science Quarterly · doi:10.2307/2391211 · Cited by 3,937 · cited 1×
“I measured TMS using a 15-item scale developed by Lewis (2003), who validated the scale in both laboratory and field samples.”
MethodTransactive Memory: A Contemporary Analysis of the Group Mind
Wegner, D. M. (1987) · Theories of Group Behavior · doi:10.1007/978-1-4612-4634-3_9 · Cited by 2,700
Communication, Learning, and Retrieval in Transactive Memory Systems
Hollingshead, A. B. (1998) · Journal of Experimental Social Psychology · doi:10.1006/jesp.1998.1358 · Cited by 471
Cited by
Enhancing the Effectiveness of Work Groups and Teams
Kozlowski, S. W. J., & Ilgen, D. R. (2006) · Psychological Science in the Public Interest · doi:10.1111/j.1529-1006.2006.00030.x · Cited by 2,623
Dynamic Managerial Capabilities: Review and Assessment of Managerial Impact on Strategic Change
Helfat, C. E., & Martin, J. A. (2015) · Journal of Management · doi:10.1177/0149206314561301 · Cited by 1,045
Marlow, S. L., Lacerenza, C. N., Paoletti, J., Burke, C. S., & Salas, E. (2018) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2017.08.001 · Cited by 346
Sharma, R., & Yetton, P. (2007) · MIS Quarterly · doi:10.2307/25148789 · Cited by 285
Something(s) old and something(s) new: Modeling drivers of global virtual team effectiveness
Maynard, M. T., Mathieu, J. E., Rapp, T. L., & Gilson, L. L. (2012) · Journal of Organizational Behavior · doi:10.1002/job.1772 · Cited by 225
Reliable Effectiveness: A Theory on Sustaining and Replicating Worthwhile Innovations
Racine, D. P. (2006) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-006-0047-1 · Cited by 55
Brannen, S. F., Beauchamp, D., Cartwright, N., Liddle, D., Tishinsky, J., Newton, G., & Monk, J. (2021) · International Journal for the Scholarship of Teaching and Learning · doi:10.20429/ijsotl.2021.150205 · Cited by 26
“Effective communication underlies successful group learning dynamics and outcomes (Chang & Brickman, 2018; Lewis, 2004).”
BackgroundThe University of North Carolina at Charlotte, Zhou, L., Rudin, C., Duke University, Gombolay, M., Georgia Institute of Technology, Spohrer, J., International Society of Service Innovation Professionals, Zhou, M., Juji, et al. (2023) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00085 · Cited by 20
Metadata
- Authors
- Lewis, K.
- Venue
- Management Science
- Published
- 2004-11
- Volume
- 50
- Issue
- 11
- Pages
- 1519-1533
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2132919553
- Cited by
- 665
- References
- 4
- FWCI
- 14.43
- Type
- journal article
- Language
- en
- Open access
- closed
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.