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Estimating country-level social network density and supportive surroundings by simulation
Australian Centre for Entrepreneurship Research, QUT Business School (Management), Queensland University of Technology, Brisbane, QLD, Australia.
Australian Centre for Entrepreneurship Research, QUT Business School (Management), Queensland University of Technology, Brisbane, QLD, Australia.
2018 (English)In: Journal of Business Venturing Insights, ISSN 2352-6734, Vol. 9, p. 24-31Article in journal (Refereed) Published
Abstract [en]

The purpose of this study is to estimate country-level social network properties by reproducing plausible social network structures of each country. For this purpose, we suggest and utilize a novel simulation procedure using Agent-Based Modeling and Simulation (ABMS) method and the Global Entrepreneurship Monitor (GEM) data. Specifically, we estimate two types of country-level social network properties that can be related to entrepreneurial activities, i.e. social network density and supportive surroundings in each country. For the estimation, we use a social network-related question in the GEM questionnaire – “Do you know someone personally who started a business in the past 2 years?” As a result, this study provides estimated values of the social network properties for 69 countries. In doing so, this study suggests a simulation procedure for estimating the country-level social network properties, provides estimated values of the properties that can be utilized in future studies, and proposes potential roles of the country-level social network structure as a contextual factor that can affect individuals’ entrepreneurial activities. 

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 9, p. 24-31
Keywords [en]
ABMS, GEM, Simulation, Social network density, Social network properties, Supportive surroundings
National Category
Business Administration
Identifiers
URN: urn:nbn:se:hj:diva-41718DOI: 10.1016/j.jbvi.2017.12.002Scopus ID: 2-s2.0-85038880322OAI: oai:DiVA.org:hj-41718DiVA, id: diva2:1252688
Available from: 2018-10-02 Created: 2018-10-02 Last updated: 2018-10-02Bibliographically approved

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Kim, Jiyoung

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Citation style
  • apa
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  • vancouver
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  • de-DE
  • en-GB
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  • nn-NB
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  • Other locale
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  • asciidoc
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