Advancing entrepreneurship as a design science: developing additional design principles for effectuation
Stephen X. Zhang () and
Elco Burg ()
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Stephen X. Zhang: The University of Sydney
Elco Burg: Vrije Universiteit Amsterdam
Small Business Economics, 2020, vol. 55, issue 3, No 5, 607-626
Abstract:
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.
Keywords: Design science; Effectuation; Genetic algorithms; Analogous transfer; A12; L21; L22; L26; L29; M13; O32; O31 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (5)
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Persistent link: https://EconPapers.repec.org/RePEc:kap:sbusec:v:55:y:2020:i:3:d:10.1007_s11187-019-00217-x
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DOI: 10.1007/s11187-019-00217-x
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