Reexamining and Replicating Foundational Studies in Entrepreneurship Research

Éditeurs invités

  • Karl Wennberg, Stockholm School of Economics
  • Jeremy C. Short, University of North Texas
  • Jeffrey A. Chandler, University of North Texas
  • Marcus Wolfe, University of North Texas
  • Sebastian Kruse, RWTH University
  • Carolin Krieweth, RWTH University

Synthèse

Entrepreneurship research lacks a strong culture of replication despite its importance for building cumulative theory and validating findings. While many influential studies shape theoretical debates and practice, they have rarely been systematically retested to verify their robustness, stability over time, or applicability across different contexts. This special issue seeks to address this gap by encouraging rigorous replication studies of foundational empirical work in entrepreneurship.

The issue welcomes diverse methodological approaches to replication, from exact replications to reanalyses of original data and studies exploring boundary conditions and contextual factors. Rather than merely confirming prior findings, submissions should advance theoretical understanding by clarifying mechanisms, identifying when relationships hold or vary, and contributing to methodological best practices. All work will be evaluated on theoretical contribution and methodological rigor within the journal's standard review process.

Thèmes proposés

  • The 33 most cited entrepreneurship studies (each exceeding 1,000 citations) identified as priority candidates for replication
  • Influential studies within specific BCERC research tracks highlighted as important contributions
  • Studies with credible cases for broader influence on entrepreneurship research
  • Identifying boundary conditions and contextual contingencies of established relationships
  • Clarifying inconsistencies or mixed findings in prior research
  • Refining theoretical mechanisms underlying key constructs and relationships
  • Contributing to methodological transparency, rigor, and best practices in replication research
  • Multi-study designs combining exact replication or reanalysis with empirical generalization or theoretical extension