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Publication bias in entrepreneurship research: An examination of dominant relations to performance

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  • O'Boyle, Ernest H.
  • Rutherford, Matthew W.
  • Banks, George C.

Abstract

Publication bias (PB) exists when the published literature is not representative of the population of studies. PB has largely been ignored or dismissed in entrepreneurship research as there is a general belief that only fields entrenched in dominant theoretical paradigms are capable of suffering from PB. We tested this presumption by re-analyzing the results of 15 systematic reviews (i.e., meta-analyses) of entrepreneurial antecedents and firm performance. Using three different tests, we found some degree of PB in all but three of these analyses. Our results belie the contention that entrepreneurship is immune to PB.

Suggested Citation

  • O'Boyle, Ernest H. & Rutherford, Matthew W. & Banks, George C., 2014. "Publication bias in entrepreneurship research: An examination of dominant relations to performance," Journal of Business Venturing, Elsevier, vol. 29(6), pages 773-784.
  • Handle: RePEc:eee:jbvent:v:29:y:2014:i:6:p:773-784
    DOI: 10.1016/j.jbusvent.2013.10.001
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    2. Christian Schwens & Florian B. Zapkau & Michael Bierwerth & Rodrigo Isidor & Gary Knight & Rüdiger Kabst, 2018. "International Entrepreneurship: A Meta–Analysis on the Internationalization and Performance Relationship," Entrepreneurship Theory and Practice, , vol. 42(5), pages 734-768, September.
    3. Jasper Brinkerink, 2023. "When Shooting for the Stars Becomes Aiming for Asterisks: P-Hacking in Family Business Research," Entrepreneurship Theory and Practice, , vol. 47(2), pages 304-343, March.
    4. Joanna Małecka & Teresa Łuczka & Jarmila Šebestová & Roman Šperka, 2017. "Economic Activity And Social Determinants Versus Etrepreneurship In Smes – Selected Aspects," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 6(3), pages 47-61.
    5. Sven Kepes & Michael A McDaniel, 2015. "The Validity of Conscientiousness Is Overestimated in the Prediction of Job Performance," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-22, October.

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