S
Saras D. Sarasvathy
Researcher at University of Virginia
Publications - 115
Citations - 16910
Saras D. Sarasvathy is an academic researcher from University of Virginia. The author has contributed to research in topics: Entrepreneurship & Effectuation. The author has an hindex of 41, co-authored 109 publications receiving 14815 citations. Previous affiliations of Saras D. Sarasvathy include Harvard University & University of Maryland, College Park.
Papers
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Journal ArticleDOI
Causation and Effectuation: Toward a Theoretical Shift from Economic Inevitability to Entrepreneurial Contingency
TL;DR: In economics and management theories, scholars have traditionally assumed the existence of artifacts such as firms/organizations and markets as mentioned in this paper, and they argue that an explanation for the creation of such artifacts requires the notion of effectuation.
Book
Effectuation: Elements of Entrepreneurial Expertise
TL;DR: Lave as discussed by the authors discusses the empirical and theoretical journey of effectuation and its relationship to performance in a business setting. But he does not address the problem of teaching effectiveness in a practical setting.
Journal ArticleDOI
Effectual versus predictive logics in entrepreneurial decision-making: Differences between experts and novices
TL;DR: This article found that expert entrepreneurs framed problems in a dramatically different way than novices, focusing more on building the venture as a whole, paying less attention to predictive information, and worrying more about making do with resources on hand to invest only what they could afford to lose.
Book ChapterDOI
Three Views of Entrepreneurial Opportunity
TL;DR: For almost 50 years, following the trail of issues raised by economists such as Hayek, Schumpeter, Kirzner, and Arrow, researchers have studied the economics of technological change and the problem of allocation of resources for invention (invention being the production of information).
Journal ArticleDOI
What to do next? the case for non-predictive strategy
TL;DR: This paper argues for the independence of prediction and control, that the pursuit of successful outcomes can occur through either predictive or control oriented approaches, and develops and highlights control oriented approach to open new avenues for dealing with the uncertainty inherent to the question of what organizations should do next.