The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.
Why “Good” Firms do Bad Things: The Effects of High Aspirations, High Expectations, and Prominence on the Incidence of Corporate Illegality
Abstract
Recent high-profile corporate scandals involving prominent, high-performing firms cast doubt on assertions that the costs of getting caught decrease the likelihood such high performers will act illegally. We explain this paradox by using theories of loss aversion and hubris to examine a sample of S&P 500 manufacturers. Results demonstrate that both performance above internal aspirations and performance above external expectations increase the likelihood of illegal activities. The sample firms' prominence enhanced the effects of performance above expectations on the likelihood of illegal actions. Prominent and less prominent firms displayed different patterns of behavior when their performance failed to meet aspirations.
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Citations
Cites
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
Firm resources and sustained competitive advantage
Barney, J. B. (2004) · Advances in Strategic Management · doi:10.1016/s0742-3322(00)17018-4 · Cited by 38,152
Prospect theory: An analysis of decision under risk
Kahneman, D., & Tversky, A. (1988) · Decision, Probability and Utility · doi:10.1017/cbo9780511609220.014 · Cited by 32,474
Social Capital in the Creation of Human Capital
Coleman, J. S. (1988) · American Journal of Sociology · doi:10.1086/228943 · Cited by 26,975
A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity
White, H. (1980) · Econometrica · doi:10.2307/1912934 · Cited by 25,861
Social Capital in the Creation of Human Capital
COLEMAN, J. (2000) · Knowledge and Social Capital · doi:10.1016/b978-0-7506-7222-1.50005-2 · Cited by 21,666
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Cohen, P., Cohen, P., West, S. G., & Aiken, L. S. (2014) · Psychology Press eBooks · doi:10.4324/9781410606266 · Cited by 20,737
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
The Framing of Decisions and the Psychology of Choice
Tversky, A., & Kahneman, D. (1981) · Science · doi:10.1126/science.7455683 · Cited by 18,497 · cited 3×
“(Kahneman & Tversky, 1979; Tversky & Kahneman, 1981, 1986 ), high performance will not”
Cited by
Zavyalova, A., Pfarrer, M. D., Reger, R. K., & Shapiro, D. L. (2012) · Academy of Management Journal · doi:10.5465/amj.2010.0608 · Cited by 646
Optimization or Bricolage? Overcoming Resource Constraints in Global Social Entrepreneurship
Desa, G., & Basu, S. (2013) · Strategic Entrepreneurship Journal · doi:10.1002/sej.1150 · Cited by 522
Managerial Risk Taking: A Multitheoretical Review and Future Research Agenda
Hoskisson, R. E., Chirico, F., Zyung, J. (., & Gambeta, E. (2017) · Journal of Management · doi:10.1177/0149206316671583 · Cited by 441
Mishina, Y., Block, E. S., & Mannor, M. J. (2012) · Strategic Management Journal · doi:10.1002/smj.958 · Cited by 406
Self-citationDoing good deeds in times of need: a strategic perspective on corporate disaster donations
Muller, A., & Kräussl, R. (2011) · Strategic Management Journal · doi:10.1002/smj.917 · Cited by 385
Metadata
- Authors
- Mishina, Y., Dykes, B. J., Block, E. S., & Pollock, T. G.
- Venue
- Academy of Management Journal
- Publisher
- Academy of Management
- Published
- 2010-08
- Volume
- 53
- Issue
- 4
- Pages
- 701-722
- ISSN
- 0001-4273 (ISSN-L)
- 1948-0989
- OpenAlex
- W2119163415
- Cited by
- 578
- References
- 114
- FWCI
- 36.78
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mishina, Y., Dykes, B. J., Block, E. S., & Pollock, T. G. (2010). Why “Good” Firms do Bad Things: The Effects of High Aspirations, High Expectations, and Prominence on the Incidence of Corporate Illegality. Academy of Management Journal. https://doi.org/10.5465/amj.2010.52814578
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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.
