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عنوان فارسی مقاله:
به سمت درک دقیقتری از توزیع های طولانی مدت و فرایند مولد در کارآفرینی
عنوان انگلیسی مقاله:
Toward a more nuanced understanding of long-tail distributions and their generative process in entrepreneurship
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مقدمه انگلیسی مقاله:
1. Introduction
Crawford et al. (2014) have shown that firms’ numbers of employees and amounts of annual revenue follow highly skewed long-tail distributions, which they refer to as power-law (PL) distributions. Furthermore, with additional co-authors Aguinis and Davidsson, they reported that almost all input and outcome variables in entrepreneurial processes follow PL distributions (Crawford et al., 2015). They arrived at this conclusion based on a quantitative PL fitting procedure, suggested by Clauset et al. (2009). Crawford et al.’s (2015) work may be regarded as seminal, as these findings challenge a common assumption of bell-shaped “normal” distributions in entrepreneurship studies, and call for new theories and methods in entrepreneurship research. However, complementary fitting techniques, which are not reported in the Crawford et al.’s (2014, 2015) papers, may provide an even more nuanced understanding of how these long-tail distributions could emerge. For example, detailed fitting results for various distributions and their temporal changes can add insights into the generative process of the empirical distributions, which is still wrapped in a veil. Crawford and McKelvey (forthcoming) also provide more nuanced understanding of the phenomena by presenting more detailed methods and possible generative mechanisms. Building on Crawford et al.’s (2014, 2015) work, I cultivate a more nuanced understanding of long-tail distributions in entrepreneurship. I applied the fitting procedure to ventures’ expectations and outcome variables on employment and revenue, originating from the Panel Studies of Entrepreneurial Dynamics II (PSED II) (Reynolds and Curtin, 2008). In order to
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کلمات کلیدی:
Business Creation in the United States: Panel Study of Entrepreneurial ... https://www.researchgate.net/.../228264197_Business_Creation_in_the_United_States_P... Mar 7, 2017 - Effects of wealth inequality on entrepreneurship .... understanding of long-tail distributions and their generative process in entrepreneurship. [PDF]Power law distributions in entrepreneurship: Implications for theory ... www.hermanaguinis.com/JBV2015.pdf by GC Crawford - 2015 - Cited by 25 - Related articles Jan 27, 2015 - A long-held assumption in entrepreneurship research is that normal (i.e., Gaussian) distributions ... Generative mechanisms ..... Also, although other heavy-tailed distributions exist (e.g., exponential or log-normal), we ...... comparing their rapid growth to the processes that lead to more modest outcomes. Jaehu Shim (심재후) - Google Scholar Citations scholar.google.com.au/citations?user=E8uB52UAAAAJ&hl=en Translate this page Australian Centre for Entrepreneurship Research, Queensland University of Technology - qut.edu.au Australian Centre for Entrepreneurship Research, Queensland University of ... of long-tail distributions and their generative process in entrepreneurship. J Shim. Artiklar mm https://hanken.finna.fi/Combined/Result?id=Primo&lookfor=journal+of... Exploring entrepreneurs' sensemaking-behavior link after business failure. E-artikel .... of long-tail distributions and their generative process in entrepreneurship. Journal of Business Venturing Insights - JournalTOCs www.journaltocs.ac.uk › Browse by Subject Toward a more nuanced understanding of long-tail distributions and their generative process in entrepreneurship. Abstract: Publication date: December 2016
