比利时开源部门研究的初步结果

R. Viseur
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引用次数: 2

摘要

FLOSS(自由和开源软件)的经济一直是许多研究和出版物的主题,特别是在商业模型问题上。然而,对FLOSS提供商的本地网络的研究较少。本研究的重点是比利时FLOSS供应商的生态系统,更具体地说,他们的地理分布,活动,技术和软件,他们的商业模式,他们的经济绩效和公司之间的关系。这项研究基于一个包含近150家公司的目录。这个目录创建了一个专门的搜索引擎,帮助改进注释。这项研究还使用了比利时中央资产负债表办公室(Belgian Central Balance Sheet Office)提供的财务数据。这项研究的初步结果表明,主要经济区域集中。企业在服务方面更加活跃,并且大量参与基础设施软件和Web开发等活动,这些活动在自由软件开发的早期很常见。支持商业软件的服务也很常见。对提供商网站之间关系图的第一个分析突出了跨国IT公司、FLOSS编辑、商业FLOSS协会,特别是提供大量专门针对FLOSS的培训目录的Walloon能力中心所发挥的作用。本研究为提高公司目录更新自动化、企业关系分析自动化、公司财务分析自动化等方面开辟了许多视角。
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Initial Results from the Study of the Open Source Sector in Belgium
The economy of FLOSS (Free and open source software) has been the subject of numerous studies and publications, particularly on the issue of business models. However, there are fewer studies on the local networks of FLOSS providers. This research focuses on the ecosystem of Belgian FLOSS providers and, more specifically, their geographical distribution, the activities, technologies and software they support, their business models, their economic performance and the relationships between companies. The research is based on a directory containing nearly 150 companies. This directory led to the creation of a specialized search engine that helped to improve annotation. The research also uses financial data provided by the Belgian Central Balance Sheet Office. The initial results of this study show a concentration in major economic areas. The businesses are more active in the services and are heavily involved activities such as infrastructure software and Web development, activities which were common in the early years of free software development. Services for the support of business software is also common. A first analysis of the graph of relationships between providers' websites highlights the role that is played by the multinational IT companies, by FLOSS editors, by commercial FLOSS associations and especially by the Walloon centers of competence that offer vast training catalogs that are dedicated to FLOSS. This research opens up many perspectives for improving the automation of the company directory updates, the analysis of the relationship between enterprises, and the automation of the financial analysis of companies.
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