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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Citations
Cites
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
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Agency Theory: An Assessment and Review
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Self-citationBalancing Search and Stability: Interdependencies Among Elements of Organizational Design
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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
Making sense of text: artificial intelligence-enabled content analysis
Lee, L. W., Dabirian, A., McCarthy, I. P., & Kietzmann, J. (2020) · European Journal of Marketing · doi:10.1108/ejm-02-2019-0219 · Cited by 103
Brunswicker, S., Almirall, E., & Majchrzak, A. (2019) · MIS Quarterly · doi:10.25300/misq/2019/13561 · Cited by 59
Wasserbaur, R., Sakao, T., Ljunggren Söderman, M., Plepys, A., & Dalhammar, C. (2020) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2020.104780 · Cited by 34
Zackery, A., Shariatpanahi, P., Zolfagharzadeh, M. M., & Pourezzat, A. A. (2016) · Futures · doi:10.1016/j.futures.2015.11.002 · Cited by 29
How to Solve Problems with Crowds: A Computer‐Based Simulation Model
Vuculescu, O., & Bergenholtz, C. (2014) · Creativity and Innovation Management · doi:10.1111/caim.12059 · Cited by 22
He, G., Demartini, G., & Gadiraju, U. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713218 · Cited by 23
Marinescu, A., Taylor, A., Clarke, S., Serban, I., & Marinescu, C. (2019) · International Journal of Energy Research · doi:10.1002/er.4559 · Cited by 9
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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