The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
The Social Networks of High and Low Self-Monitors: Implications for Workplace Performance
Abstract
This article examines how different personality types create and benefit from social networks in organizations. Using data from a 116-member high-technology firm, we tested how self-monitoring orientation and network position related to work performance. First, chameleon-like high self-monitors were more likely than true-to-themselves low self-monitors to occupy central positions in social networks. Second, for high (but not for low) self-monitors, longer service in the organization related to the occupancy of strategically advantageous network positions. Third, self-monitoring and centrality in social networks independently predicted individuals' workplace performance. The results paint a picture of people shaping the networks that constrain and enable performance.
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
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
Centrality in social networks conceptual clarification
Freeman, L. C. (1978) · Social Networks · doi:10.1016/0378-8733(78)90021-7 · Cited by 17,062
Burt, R. S. (1992) · doi:10.4159/9780674029095 · Cited by 9,093
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980) · Wiley Series in Probability and Statistics · doi:10.1002/0471725153 · Cited by 7,297
The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Subunits
Hansen, M. T. (1999) · Administrative Science Quarterly · doi:10.2307/2667032 · Cited by 5,809
Being in the Right Place: A Structural Analysis of Individual Influence in an Organization
Brass, D. J. (1984) · Administrative Science Quarterly · doi:10.2307/2392937 · Cited by 1,549
Self-citationInformal Networks and Organizational Crises: An Experimental Simulation
Krackhardt, D., & Stern, R. N. (1988) · Social Psychology Quarterly · doi:10.2307/2786835 · Cited by 1,256
Kilduff, M., & Krackhardt, D. (1994) · Academy of Management Journal · doi:10.2307/256771 · Cited by 689
Self-citationZaccaro, S. J., Foti, R. J., & Kenny, D. A. (1991) · Journal of Applied Psychology · doi:10.1037/0021-9010.76.2.308 · Cited by 424
Cited by
Taking gender into account: theory and design for women's leadership development programs
Ely, R. J., Ibarra, H., & Kolb, D. M. (2011) · Academy of Management Learning & Education · doi:10.5465/amle.2010.0046 · Cited by 1,003
The Genesis and Dynamics of Organizational Networks
Ahuja, G., Soda, G., & Zaheer, A. (2012) · Organization Science · doi:10.1287/orsc.1110.0695 · Cited by 874
Emotional intelligence, cognitive intelligence, and job performance
Côté, S., & Miners, C. T. H. (2006) · Administrative Science Quarterly · doi:10.2189/asqu.51.1.1 · Cited by 873
Backlash effects for disconfirming gender stereotypes in organizations
Rudman, L. A., & Phelan, J. E. (2008) · Research in Organizational Behavior · doi:10.1016/j.riob.2008.04.003 · Cited by 776
Sturman, M. C. (2003) · Journal of Management · doi:10.1016/s0149-2063_03_00028-x · Cited by 578
Metadata
- Authors
- Mehra, A., Kilduff, M., & Brass, D. J.
- Venue
- Administrative Science Quarterly
- Publisher
- JSTOR
- Published
- 2001-03
- Volume
- 46
- Issue
- 1
- Pages
- 121-146
- ISSN
- 0001-8392 (ISSN-L)
- 1930-3815
- OpenAlex
- W2132706839
- Cited by
- 1,286
- References
- 11
- FWCI
- 26.88
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Social Networks of High and Low Self-Monitors: Implications for Workplace Performance. https://app.cochat.ai/papers/10.2307/2667127
- The paper
- Mehra, A., Kilduff, M., & Brass, D. J. (2001). The Social Networks of High and Low Self-Monitors: Implications for Workplace Performance. Administrative Science Quarterly. https://doi.org/10.2307/2667127
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.
