Enhancing Rigor in Quantitative Entrepreneurship Research

By Markku V. J. Maula, W. Stam. Entrepreneurship: Theory & Practice, 2019

147 citations recorded by the source corpus.

Reflecting on common empirical concerns in quantitative entrepreneurship research, recent calls for improved rigor and reproducibility in social science research, and recent methodological developments, we discuss new opportunities for further enhancing rigor in quantitative entrepreneurship research. In addition to highlighting common key concerns of editors and reviewers, we review recent methodological guidelines in the social sciences that offer more in-depth discussions of particular empirical issues and approaches. We conclude by offering a set of best practice recommendations for further enhancing rigor in quantitative entrepreneurship research.

Subfields: Accounting, Economics and Econometrics, Management of Technology and Innovation

View Paper: https://www.semanticscholar.org/paper/b29e85d6165496b7c247dc984ef5de85321a7433

How researchers see this paper

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In Accounting

1. Mikko Rönkkö

In Economics and Econometrics

1. E. Aalto
2. Miguel I. Aguirre-Urreta
3. Mikko Rönkkö
4. Henni Tenhunen

In Management of Technology and Innovation

1. E. Aalto
2. Miguel I. Aguirre-Urreta
3. Mikko Rönkkö
4. Henni Tenhunen

Citations in the corpus

• Eight Simple Guidelines for Improved Understanding of Transformations and Nonlinear Effects (2021, background): “Against this background, the recent claims that the use of transformed variables for testing hypotheses would be problematic are simply incorrect (Aguinis et al., 2019; Becker et al., 2019; Maula & Stam, 2020).”