Cluster analysis of charitable organizations of Ukraine using K-means technology

Q1 Social Sciences
Olha Vysochan, O. Vysochan, V. Hyk
{"title":"Cluster analysis of charitable organizations of Ukraine using K-means technology","authors":"Olha Vysochan, O. Vysochan, V. Hyk","doi":"10.24818/amp/2021.37-08","DOIUrl":null,"url":null,"abstract":"The work is devoted to the issue of segmentation of charitable organizations for structuring the sector of non-profit organizations of Ukraine using cluster analysis tools using software R for automated data processing. The four-cluster and five-cluster models were constructed using the K-means method, the suitability for clustering of which was checked using the Hopkins’ Index (H statistics). The developed four-cluster model demonstrated a significant level of validity in terms of correspondence between data and the stability of their structure. The basic indicators of financial and economic activity of charitable organizations were used as criteria for clustering: the number of staff, charitable assistance received and funds spent on the maintenance of the organization in the reporting period. It was found that the clusters of charitable organizations of Ukraine differ in the scale of activity, the number of funds raised, the number of costs for their own maintenance and the relationship between these indicators. The study demonstrated the existence in Ukraine of the most influential cluster of local charities that address social issues exclusively at the regional level, due to the small financial resources involved to support their activities. Such organizations are system-creating for the entire nonprofit sector in Ukraine, their importance is manifested in the most rapid response to the needs of recipients through the implementation of small charitable projects.","PeriodicalId":38266,"journal":{"name":"Administratie si Management Public","volume":"26 1-4 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Administratie si Management Public","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24818/amp/2021.37-08","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 5

Abstract

The work is devoted to the issue of segmentation of charitable organizations for structuring the sector of non-profit organizations of Ukraine using cluster analysis tools using software R for automated data processing. The four-cluster and five-cluster models were constructed using the K-means method, the suitability for clustering of which was checked using the Hopkins’ Index (H statistics). The developed four-cluster model demonstrated a significant level of validity in terms of correspondence between data and the stability of their structure. The basic indicators of financial and economic activity of charitable organizations were used as criteria for clustering: the number of staff, charitable assistance received and funds spent on the maintenance of the organization in the reporting period. It was found that the clusters of charitable organizations of Ukraine differ in the scale of activity, the number of funds raised, the number of costs for their own maintenance and the relationship between these indicators. The study demonstrated the existence in Ukraine of the most influential cluster of local charities that address social issues exclusively at the regional level, due to the small financial resources involved to support their activities. Such organizations are system-creating for the entire nonprofit sector in Ukraine, their importance is manifested in the most rapid response to the needs of recipients through the implementation of small charitable projects.
基于K-means技术的乌克兰慈善组织聚类分析
这项工作致力于慈善组织的分割问题,以构建乌克兰非营利组织的部门,使用聚类分析工具,使用软件R进行自动数据处理。采用K-means方法构建四聚类和五聚类模型,采用Hopkins ' Index (H统计量)检验聚类的适宜性。开发的四聚类模型在数据与其结构的稳定性之间的对应关系方面证明了显著的有效性。慈善组织的财务和经济活动的基本指标被用作分类标准:报告期间工作人员人数、收到的慈善援助和用于维持该组织的资金。研究发现,乌克兰的慈善组织集群在活动规模、筹集的资金数量、维持其自身的费用数量以及这些指标之间的关系方面有所不同。该研究表明,在乌克兰存在最有影响力的地方慈善团体,它们只在区域一级处理社会问题,因为支持其活动的财政资源很少。这些组织为乌克兰的整个非营利部门创造了系统,它们的重要性体现在通过实施小型慈善项目对接受者的需求做出最迅速的反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Administratie si Management Public
Administratie si Management Public Social Sciences-Sociology and Political Science
CiteScore
6.00
自引率
0.00%
发文量
0
期刊介绍: Is an international academic journal, published by The Bucharest University of Economic Studies, Faculty of Administration and Public Management and the International Centre for Public Management. Is an open access journal published in English, twice a year. Is double peer-reviewed. Includes articles prepared by scholars, researchers and practitioners. Is addressed to the teachers, researchers, Ph. D students, master students, undergraduate students, public managers, civil servants and to other categories of readers. The papers published in this journal: - Contain the research results of some researches and surveys developed by the authors. - Include new theoretical/practical and original approaches that were presented and analysed by the authors. - Offer solutions for the public managers problems. - Stimulate the know-how transfer from an institution to another, from a country to another in the areas of administration and public management. The paper proposed for evaluation can be sent throughout the year, preferably by the end of April or before the end of October. Main areas covered by the journal articles are: public management; public administration; public policy; public services; social economy; social environment; management of the nongovernmental organizations; human resources management in the public sector; decision making in public organizations; governance; communication in public sector; sociology; demografy; migration; globalization; other related domains.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信