کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7426030 | 1482867 | 2018 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Estimating country-level social network density and supportive surroundings by simulation
ترجمه فارسی عنوان
برآورد چگالی شبکه اجتماعی در سطح کشور و محیط حمایتی از طریق شبیه سازی
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کلمات کلیدی
موضوعات مرتبط
علوم انسانی و اجتماعی
مدیریت، کسب و کار و حسابداری
کسب و کار و مدیریت بین المللی
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Business Venturing Insights - Volume 9, June 2018, Pages 24-31
Journal: Journal of Business Venturing Insights - Volume 9, June 2018, Pages 24-31
نویسندگان
Jaehu Shim, Jiyoung Kim,