The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Developing Theory Through Simulation Methods
Abstract
We describe when and how to use simulation methods in theory development. We develop a roadmap that describes theory development using simulation and position simulation in the “sweet spot” between theory-creating methods, such as multiple case inductive studies and formal modeling, and theory-testing methods. Simulation strengths include internal validity and facility with longitudinal, nonlinear, and process phenomena. Simulation's primary value occurs in creative experimentation to produce novel theory. We conclude with evaluation guidelines.
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Cites
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
Agency Theory: An Assessment and Review
Eisenhardt, K. M. (1989) · The Academy of Management Review · doi:10.5465/amr.1989.4279003 · Cited by 13,338
Self-citationBalancing Search and Stability: Interdependencies Among Elements of Organizational Design
Rivkin, J. W., & Siggelkow, N. (2003) · Management Science · doi:10.1287/mnsc.49.3.290.12740 · Cited by 900
Cited by
Optimal structure, market dynamism, and the strategy of simple rules
Davis, J. P., Eisenhardt, K. M., & Bingham, C. B. (2009) · Administrative Science Quarterly · doi:10.2189/asqu.2009.54.3.413 · Cited by 804
“We conducted this research using simulation methods, which are effective for research such as ours in which the basic outline of the theory is understood, but its underlying theoretical logic is limited (Davis, Eisenhardt, and Bingham, 2007).”
BackgroundMethodInfluentialSelf-citationThe emergence of entrepreneurial ecosystems: A complex adaptive systems approach
Roundy, P. T., Bradshaw, M., & Brockman, B. K. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.01.032 · Cited by 681
Open collaboration for innovation: Principles and performance
Levine, S. S., & Prietula, M. J. (2014) · Organization Science · doi:10.1287/orsc.2013.0872 · Cited by 263
Supply chain risk and resilience: theory building through structured experiments and simulation
Macdonald, J. R., Zobel, C. W., Melnyk, S. A., & Griffis, S. E. (2018) · International Journal of Production Research · doi:10.1080/00207543.2017.1421787 · Cited by 214
Power law distributions in entrepreneurship: Implications for theory and research
Crawford, G. C., Aguinis, H., Lichtenstein, B., Davidsson, P., & McKelvey, B. (2015) · Journal of Business Venturing · doi:10.1016/j.jbusvent.2015.01.001 · Cited by 195
Metadata
- Authors
- Davis, J. P., Eisenhardt, K. M., & Bingham, C. B.
- Venue
- Academy of Management Review
- Publisher
- Academy of Management
- Published
- 2007-04
- Volume
- 32
- Issue
- 2
- Pages
- 480-499
- ISSN
- 0363-7425 (ISSN-L)
- 1930-3807
- OpenAlex
- W2153310220
- Cited by
- 1,157
- References
- 4
- FWCI
- 72.01
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
