Advancing entrepreneurship as a design science: developing additional design principles for effectuation

Stephen X. Zhang*, Elco Van Burg

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

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Abstract

Scholars have advocated the development of entrepreneurship as a design science. One foundational challenge in a design science is to identify design principles. We argue that a particular field can draw on a design knowledge from different design sciences to develop design principles. In particular, we show that entrepreneurship research can learn from one branch of artificial intelligence studies called “genetic algorithm,” which is a design field that creates solutions for complex, nonanalytical, and ill-structured problems. We illustrate the analogous transfer process by identifying complementary design principles for one exemplary entrepreneurship theory, namely effectuation. In turn, these additional effectual design principles further effectuation theory as a design science and help advance entrepreneurship as a nascent design science.

Original languageEnglish
Pages (from-to)607-626
Number of pages20
JournalSmall Business Economics
Volume55
Issue number3
Early online date8 Jun 2019
DOIs
Publication statusPublished - 1 Oct 2020

Keywords

  • Analogous transfer
  • Design science
  • Effectuation
  • Genetic algorithms

VU Research Profile

  • Governance for Society

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