Big Data Application in Entrepreneurship

León Darío Parra, Milenka Linneth Argote Cusi
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Abstract

Modern society generates about 7 Zetabytes each year, of which 75% comes from the connectivity of individuals to social networks. In this regard, the chapter presents a case study of the application of big data technologies for entrepreneurial analysis using global entrepreneurship monitor (GEM) data as a new tool of analysis. Therefore, the core of this chapter is to present the methodology that was used to develop and implement the big data app of GEM as well as the main results of project. On the other hand, the chapter remarks the advantages and disadvantages of this kind of technology for the case of GEM data. Finally, it presents the respective dashboards that interrelate the gem data with Word Bank indicators as a case study of the application of big data for entrepreneurship research.
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创业大数据应用
现代社会每年产生约7泽字节,其中75%来自个人与社交网络的连接。在这方面,本章提出了一个案例研究,利用全球创业监测(GEM)数据作为一种新的分析工具,将大数据技术应用于创业分析。因此,本章的核心是介绍创业板大数据应用开发和实现的方法以及项目的主要成果。另一方面,本章以创业板数据为例,评述了这种技术的优缺点。最后,本文提出了将创业板数据与世界银行指标相互关联的仪表板,作为大数据应用于创业研究的案例研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Big Data Application in Entrepreneurship Decision Making and Behavior Decision Making and Behavior
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