Publicity of the non-profit sector: federal and regional trends

IF 0.2 4区 社会学 0 HUMANITIES, MULTIDISCIPLINARY
E. Baeva, V. Bocharov, Olga A. Malakanova
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引用次数: 0

Abstract

The article is devoted to the introduction of digital technologies into the practices of non-profit organizations. The authors consider the all-Russian and regional trends of data of the non-profit sector publicity and digital competence. The main purpose of the analysis is to show how the publicity affects the digitalization level of civil society institutions, primarily the nonprofit sector. The article was based on the data of research projects conducted earlier on this issue, as well as the results of a sociological study initiated by the Public Chamber of the Samara region with regional experts involved (representatives of authorities at various levels, non-profit organizations, public chambers and public councils). The empirical study was carried out in 2 stages. At the first stage, a survey was conducted in an online format by sending emails with detailed instructions for respondents (total 50 people were interviewed). At the second stage, to clarify the collected empirical information, 2 in-depth interviews were conducted with the experts selected among those who participated in the survey earlier and who had experience in working with the digital environment and non-profit organizations of the Samara region. The data analysis describes the current situation in the field of the publicity of non-profit organizations, the results and risks of digitalization in the third sector.
非营利部门的宣传:联邦和地区趋势
这篇文章致力于将数字技术引入非营利组织的实践。作者考虑了全俄和地区非营利部门宣传和数字能力数据的趋势。分析的主要目的是展示宣传如何影响公民社会机构(主要是非营利部门)的数字化水平。这篇文章所依据的是早些时候就这个问题进行的研究项目的数据,以及萨马拉地区公共分厅发起的一项社会学研究的结果,该研究有区域专家参与(各级当局、非营利组织、公共分厅和公共理事会的代表)。实证研究分两个阶段进行。在第一阶段,调查以在线形式进行,通过发送电子邮件向受访者发送详细说明(共采访了50人)。在第二阶段,为了澄清收集到的经验信息,对从早期参与调查的专家中选出的专家进行了两次深入访谈,这些专家在萨马拉地区的数字环境和非营利组织方面有工作经验。数据分析描述了非营利组织宣传领域的现状,第三部门数字化的结果和风险。
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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来源期刊
Chinese Semiotic Studies
Chinese Semiotic Studies HUMANITIES, MULTIDISCIPLINARY-
CiteScore
0.60
自引率
0.00%
发文量
36
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