Why Do Management Scholars Avoid Experiments? A Necessary Provocation

Main Article Content

João Fernandes Jorge de Siqueira
Rafael Barreiros Porto
Jonathan Simões Freitas

Abstract

Despite the consolidation of experimental designs as a central standard for causal inference in adjacent fields, experiments remain peripheral in large segments of management research. This article argues that such marginalization is not primarily technical, but epistemic and institutional. It reconstructs six recurrent objections — complexity, external validity, feasibility, theory reduction, non-manipulability, and ethical scope — that structure skepticism toward experimentation and shows how they normalize the substitution of statistical sophistication for design-based identification. The analysis suggests that resistance to experiments reflects entrenched evaluative norms about what counts as rigor and relevance, rather than demonstrated methodological inadequacy. To move beyond dichotomous debates, the article introduces a simple evaluative framework structured along two dimensions: causal ambition and organizational embeddedness. By conceptualizing experimentation as a continuum, the framework aligns the strength of causal claims with the inferential capacities of different designs, making trade-offs explicit rather than implicit. The central contribution is disciplinary rather than technical: repositioning experimentation as a reference point for transparent causal reasoning. The article concludes by calling for greater alignment between causal claims and research design, emphasizing inferential discipline as a condition for credible knowledge in management research.

Downloads

Download data is not yet available.

Article Details

How to Cite
Siqueira, J. F. J. de, Porto, R. B., & Freitas, J. S. (2026). Why Do Management Scholars Avoid Experiments? A Necessary Provocation. Brazilian Administration Review, 23(2). https://doi.org/10.1590/1807-7692bar2025260039
Section
Thinking Outside the Box

References

Aguinis, H., & Bradley, K. J. (2014). Best practice recommendations for designing and implementing experimental vignette methodology studies. Organizational Research Methods, 17(4), 351-371. https://doi.org/10.1177/1094428114547952

Bacharach, S. B. (1989). Organizational theories: Some criteria for evaluation. Academy of Management Review, 14(4), 496–515. https://doi.org/10.5465/amr.1989.4308374

Cartwright, N. (2007). Hunting causes and using them: Approaches in philosophy and economics. Cambridge University Press.

Cook, T. D. (2015). Generalizing causal knowledge in the policy sciences: External validity as a research objective. Policy Studies Journal, 43(4), 527–549. https://doi.org/10.1111/psj.12123

Gerring, J. (2007). Case study research: Principles and practices. Cambridge University Press.

Gottschalk, P., & Moffitt, R. (2009). The Rising Instability of U.S. Earnings. Journal of Economic Perspectives, 23(4), 3–16. https://doi.org/10.1257/jep.23.4.3

Harrison, G. W., & List, J. A. (2004). Field experiments. Journal of Economic Literature, 42(4), 1009–1055. https://doi.org/10.1257/0022051043004577

Hausman, D. M. (2012). Preference, value, choice, and welfare. Cambridge University Press.

Holland, P. W. (1986). Statistics and causal inference. Journal of the American Statistical Association, 81(396), 945-960. https://doi.org/10.1080/01621459.1986.10478354

Kohavi, R., Tang, D., Xu, Y., & Walker, T. (2020). Trustworthy online controlled experiments: A practical guide to A/B testing. Cambridge University Press.

Merton, R. K. (1968). Social theory and social structure. Free Press.

Rosenbaum, P. R. (2002). Observational studies (2nd ed.). Springer.

Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin.

Van de Ven, A. H. (2007). Engaged scholarship: A guide for organizational and social research. Oxford University Press.

Most read articles by the same author(s)

Similar Articles

<< < 24 25 26 27 28 29 30 31 32 33 > >> 

You may also start an advanced similarity search for this article.