The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Demography and Design: Predictors of New Product Team Performance
Open accessAbstract
The increasing reliance on teams in organizations raises the question of how these teams should be formed. Should they be formed completely of engineers or should they include a range of specialists? Should they be made up to people who have long tenure in the organization, or those with a wide range of experience? As teams increasingly get called upon to do more complex tasks and to cross functional boundaries within the organization, conventional wisdom has suggested that teams be composed of more diverse members. This study suggests that the answer may not be so simple. Using 409 individuals from 45 new product teams in five high-technology companies, this study investigates the impact of diversity on team performance. We found that functional and tenure diversity each has its own distinct effects. The greater the functional diversity, the more team members communicated outside the team's boundaries. This communication was with a variety of groups such as marketing, manufacturing, and top management. The more the external communication, the higher the managerial ratings of innovation. Tenure diversity had its impact on internal group dynamics rather than external communications. Tenure diversity is associated with improved task work such as clarifying group goals and setting priorities. In turn, this clarity is associated with high team ratings of overall performance. Yet diversity is not solely positive. While it does produce internal processes and external communications that facilitate performance, it also directly impedes performance. That is, overall the effect of diversity on performance is negative, even though some aspects of group work are enhanced. It may be that for these teams diversity brings more creativity to problem solving and product development, but it impedes implementation because there is less capability for teamwork than there is for homogeneous teams. These research findings suggest that simply changing the structure of teams (i.e. combining representatives of diverse function and tenure) will not improve performance. The team must find a way to garner the positive process effects of diversity and to reduce the negative direct effects. At the team level, greater negotiation and conflict resolution skills may be necessary. At the organization level, the team may need to be protected from external political pressures and rewarded for team, rather than functional, outcomes.
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
A theory of social comparison processes
Festinger, L. (1954) · Human Relations · doi:10.1177/001872675400700202 · Cited by 20,926
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×
“Representatives from marketing, manufacturing, and engineering often have different time orientations, and even different definitions for basic terms such as "product" and "market" (Dougherty 1987; Lawrence and Lorsch 1969).”
The Effects of Communication on Technological Innovation
Ebadi, Y. M., & Utterback, J. M. (1984) · Management Science · doi:10.1287/mnsc.30.5.572 · Cited by 255
Cited by
Product development: Past research, present findings and future directions
Brown, S. L., & Eisenhardt, K. M. (1995) · The Academy of Management Review · doi:10.2307/258850 · Cited by 3,777
What Makes Teams Work: Group Effectiveness Research from the Shop Floor to the Executive Suite
Cohen, S. G., & Bailey, D. E. (1997) · Journal of Management · doi:10.1177/014920639702300303 · Cited by 3,526
Milliken, F. J., & Martins, L. L. (1996) · The Academy of Management Review · doi:10.5465/amr.1996.9605060217 · Cited by 3,413
Jehn, K. A., Northcraft, G. B., & Neale, M. A. (1999) · Administrative Science Quarterly · doi:10.2307/2667054 · Cited by 3,359
Exploring the Black Box: An Analysis of Work Group Diversity, Conflict and Performance
Pelled, L. H., Eisenhardt, K. M., & Xin, K. R. (1999) · Administrative Science Quarterly · doi:10.2307/2667029 · Cited by 2,971
Metadata
- Authors
- Ancona, D. G., & Caldwell, D. F.
- Venue
- Organization Science
- Published
- 1992-08
- Volume
- 3
- Issue
- 3
- Pages
- 321-341
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W2075968499
- Cited by
- 1,822
- References
- 3
- FWCI
- 12.00
- Type
- journal article
- Language
- en
- Open access
- green
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: Demography and Design: Predictors of New Product Team Performance. https://app.cochat.ai/papers/10.1287/orsc.3.3.321
- The paper
- Ancona, D. G., & Caldwell, D. F. (1992). Demography and Design: Predictors of New Product Team Performance. Organization Science. https://doi.org/10.1287/orsc.3.3.321
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.