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DC Field | Value | Language |
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dc.citation.endPage | 31 | - |
dc.citation.startPage | 24 | - |
dc.citation.title | JOURNAL OF BUSINESS VENTURING INSIGHTS | - |
dc.citation.volume | 9 | - |
dc.contributor.author | Shim Jaehu | - |
dc.contributor.author | Kim Jiyoung | - |
dc.date.accessioned | 2023-12-21T20:39:11Z | - |
dc.date.available | 2023-12-21T20:39:11Z | - |
dc.date.created | 2019-03-09 | - |
dc.date.issued | 2018-06 | - |
dc.description.abstract | 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. | - |
dc.identifier.bibliographicCitation | JOURNAL OF BUSINESS VENTURING INSIGHTS, v.9, pp.24 - 31 | - |
dc.identifier.doi | 10.1016/j.jbvi.2017.12.002 | - |
dc.identifier.issn | 2352-6734 | - |
dc.identifier.scopusid | 2-s2.0-85038880322 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/26765 | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S2352673417300902?via%3Dihub | - |
dc.language | 영어 | - |
dc.publisher | Elsevier Inc | - |
dc.title | Estimating country-level social network density and supportive surroundings by simulation | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Social network density | - |
dc.subject.keywordAuthor | Supportive surroundings | - |
dc.subject.keywordAuthor | Social network properties | - |
dc.subject.keywordAuthor | Simulation | - |
dc.subject.keywordAuthor | ABMS | - |
dc.subject.keywordAuthor | GEM | - |
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