Prediction- and Control-Based Strategies in Entrepreneurship: The Role of Information

Kuechle Graciela (1) , Béatrice Boulu-Reshef (2) , Sean D. Carr (3)

1 Heilbroon University
2 CES - Centre d'économie de la Sorbonne
3 University of Virginia

Prediction- and control-based strategies are the two main hypotheses of how entrepreneurs deal with uncertainty in theories of entrepreneurship. Prediction-based strategies focus on estimating unknowns via sampling methods, whereas control-based strategies focus on shaping unknowns via proactive behavior. These strategies may lead to different propensities to undertake uncertain prospects, as they differ in terms of cognition and involvement. In an experimental test, we study the conditions under which prediction- and control-based strategies lead subjects to accept bets in ambiguous environments. Individuals who use control methods to mitigate uncertainty are more likely to accept the bet after a favorable outcome compared to those who use predictive methods. These results revert in the presence of unfavorable outcomes. We discuss the implications for entrepreneurship theory and practice.

Mots clés: entrepreneurship; uncertainty; effectuation; experimental economics; theories of entrepreneurship

Domaines: Economies et finances; Gestion et management

Kuechle Graciela, Béatrice Boulu-Reshef, Sean D. Carr. Prediction- and Control-Based Strategies in Entrepreneurship: The Role of Information. Strategic Entrepreneurship Journal, 2016, 10, pp.43-64. ⟨10.1002/sej⟩. ⟨hal-01296948⟩