The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Group Size and Anonymity Effects on Computer-Mediated Idea Generation
Abstract
Some for,ns of computer-mediated communication enable groups to engage simultaneously in multiple electronic conversations. One interesting aspect of this technology, in addition to this parallelism, is that the channel is configurable to support forms of group interaction that were previously difficult, if not impossible. This article reports a laboratory experiment that examined the effects of group size (3 and 9 members) and group member anonymity on the performance of groups using a computer-mediated idea-generation system. Although group members in all conditions made, on average, the same number of comments, larger groups generated significantly more ideas (and higher-quality ideas as rated by judges) than did smaller groups. Anzonymity had no effect on ideational performance. Members of small-idenitified groups made the fewest critical remarks, were the most satisfied, and rated themselves more effective than group members from the other experimental conditions.
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
Effects of Size and Task Type on Group Performance and Member Reactions
Hackman, J. R., & Vidmar, N. (1970) · Sociometry · doi:10.2307/2786271 · Cited by 251
Cited by
Computer-Mediated Communication: Impersonal, Interpersonal, and Hyperpersonal Interaction
WALTHER, J. B. (1996) · Communication Research · doi:10.1177/009365096023001001 · Cited by 4,798
Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory
DeSanctis, G., & Poole, M. S. (1994) · Organization Science · doi:10.1287/orsc.5.2.121 · Cited by 3,879
Communication and Trust in Global Virtual Teams
Jarvenpaa, S. L., & Leidner, D. E. (1999) · Organization Science · doi:10.1287/orsc.10.6.791 · Cited by 2,903
Media, Tasks, and Communication Processes: A Theory of Media Synchronicity1
Dennis, A. R., Fuller, R. M., & Valacich, J. S. (2008) · MIS Quarterly · doi:10.2307/25148857 · Cited by 1,511
Self-citationVirtual Teams: What Do We Know and Where Do We Go From Here?
Martins, L. L., Gilson, L. L., & Maynard, M. T. (2004) · Journal of Management · doi:10.1016/j.jm.2004.05.002 · Cited by 1,314
Toward Contextualized Theories of Trust: The Role of Trust in Global Virtual Teams
Jarvenpaa, S. L., Shaw, T. R., & Staples, D. S. (2004) · Information Systems Research · doi:10.1287/isre.1040.0028 · Cited by 773
Breuer, C., Hüffmeier, J., & Hertel, G. (2016) · Journal of Applied Psychology · doi:10.1037/apl0000113 · Cited by 375
Communication in virtual teams: a conceptual framework and research agenda
Marlow, S. L., Lacerenza, C. N., & Salas, E. (2017) · Human Resource Management Review · doi:10.1016/j.hrmr.2016.12.005 · Cited by 291
(2007) · ODU Digital Commons (Old Dominion University) · Cited by 179
Leavitt, A. (2015) · Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing · doi:10.1145/2675133.2675175 · Cited by 113
The Moderating Effects of Virtuality on the Antecedents and Outcome of NPD Team Trust
Bierly, P. E., Stark, E. M., & Kessler, E. H. (2009) · Journal of Product Innovation Management · doi:10.1111/j.1540-5885.2009.00680.x · Cited by 85
Howard, C. D., Barrett, A. F., & Frick, T. W. (2010) · Journal of Educational Computing Research · doi:10.2190/ec.43.1.f · Cited by 78
Persuasive computing: Feeling peer pressure from multiple computer agents
Xu, K., & Lombard, M. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.04.043 · Cited by 76
Masked ball for all: how anonymity affects students' perceived comfort levels in peer feedback
Su, W. (2023) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2022.2089348 · Cited by 21
Metadata
- Authors
- Valacich, J. S., Dennis, A. R., & Nunamaker, J. F.
- Venue
- Small Group Research
- Publisher
- SAGE Publications
- Published
- 1992-02
- Volume
- 23
- Issue
- 1
- Pages
- 49-73
- ISSN
- 1046-4964 (ISSN-L)
- 1552-8278
- OpenAlex
- W2082245850
- Cited by
- 300
- References
- 2
- FWCI
- 14.66
- 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.
