The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Crossroads—Organizational Performance as a Dependent Variable
Abstract
Most studies of organizational performance define performance as a dependent variable and seek to identify variables that produce variations in performance. Researchers who study organizational performance in this way typically devote little attention to the complications of using such a formulation to characterize the causal structure of performance phenomena. These complications include the ways in which performance advantage is competitively unstable, the causal complexity surrounding performance, and the limitations of using data based on retrospective recall of informants. Since these complications are well-known and routinely taught, a pattern of acknowledging the difficulties but continuing the practice cannot be attributed exclusively to poor training, lack of intelligence, or low standards. Most researchers understand the difficulties of inferring causal order from the correlations generated by organizational histories, particularly when those correlations may be implicit in the measurement procedures used. We suggest that the persistence of this pattern is due, in part, to the context of organizational research. Organizational researchers live in two worlds. The first demands and rewards speculations about how to improve performance. The second demands and rewards adherence to rigorous standards of scholarship. In its efforts to satisfy these often conflicting demands, the organizational research community sometimes responds by saying that inferences about the causes of performance cannot be made from the data available, and simultaneously goes ahead to make such inferences. We conclude by considering a few virtues and hazards of such a solution to dilemmas involving compelling contradictory imperatives and the generality of the issues involved.
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
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
Cited by
Building Sustainable Organizations: The Human Factor.
Pfeffer, J. (2010) · Academy of Management Perspectives · doi:10.5465/amp.2010.50304415 · Cited by 862
1 Constitutional Amendments: “Materializing” Organizational Communication
Ashcraft, K. L., Kuhn, T. R., & Cooren, F. (2009) · Academy of Management Annals · doi:10.5465/19416520903047186 · Cited by 731
de Luque, M. S., Washburn, N. T., Waldman, D. A., & House, R. J. (2008) · Administrative Science Quarterly · doi:10.2189/asqu.53.4.626 · Cited by 340
What Drives Key Informant Accuracy?
Homburg, C., Klarmann, M., Reimann, M., & Schilke, O. (2012) · Journal of Marketing Research · doi:10.1509/jmr.09.0174 · Cited by 276
A meta-analysis of empirical e-government research and its future research implications
Wirtz, B. W., & Daiser, P. (2018) · International Review of Administrative Sciences · doi:10.1177/0020852315599047 · Cited by 112
Involvement in knowledge-acquisition activities by venture team members and venture performance
Chandler, G. N., & Lyon, D. W. (2009) · Entrepreneurship Theory and Practice · doi:10.1111/j.1540-6520.2009.00317.x · Cited by 98
Metadata
- Authors
- March, J. G., & Sutton, R. I.
- Venue
- Organization Science
- Published
- 1997-12
- Volume
- 8
- Issue
- 6
- Pages
- 698-706
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W2029075865
- Cited by
- 691
- References
- 1
- FWCI
- 3.83
- 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.