Research output per year
Research output per year
Stephen X. Zhang*, Elco Van Burg
Research output: Contribution to Journal › Article › Academic › peer-review
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 language | English |
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Pages (from-to) | 607-626 |
Number of pages | 20 |
Journal | Small Business Economics |
Volume | 55 |
Issue number | 3 |
Early online date | 8 Jun 2019 |
DOIs | |
Publication status | Published - 1 Oct 2020 |
Research output: Contribution to Journal › Article › Academic › peer-review
Research output: Contribution to Conference › Paper › Academic
Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review