Mosab I. Tabash, Shekhar Shekhar, Poonam Singh, Mohd Shamshad, Mujeeb Saif Mohsen Al-Absy
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The results of keyword co-occurrence and co-citation analysis suggest there are three knowledge clusters: welfare provisions, benefits provided by social insurance, and social insurance operational aspects. Through analysis found top article-based Inequality, social insurance, and redistribution with 408(LC) and 1042(GC) and its page rank value is 0.010574 through prestigious analysis. Additionally, it is also observed that I. Nielsen had made the most substantial contributions as an author, with R. Smyth and C. Nyland following closely in the rankings. Also, observed maximum total link strength with 109 value on social security variable. The study also drawn attention to specific deficiencies, including regional concentration of research, insufficient research in developing and underdeveloped countries, inadequate knowledge sharing among researchers, limited methodological diversity, and a lack of research on the role of social insurance in facilitating society’s recovery from the pandemic.","PeriodicalId":32827,"journal":{"name":"Insurance Markets and Companies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Synthesizing social insurance research: A bibliometric analysis\",\"authors\":\"Mosab I. Tabash, Shekhar Shekhar, Poonam Singh, Mohd Shamshad, Mujeeb Saif Mohsen Al-Absy\",\"doi\":\"10.21511/ins.14(1).2023.06\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Social insurance has been a pivotal tool in implementing social security. 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引用次数: 0
摘要
社会保险是实现社会保障的重要手段。本研究的目的是分析社会保险领域现有的信息集群(区域)。集群定义了社会保险领域中相关和不相关的群体。这些小组将有助于简化和确定很少或没有进行研究的领域。为了实现这一目标,该研究采用了精确而系统的程序,收集了1926年至2022年期间在scopus索引期刊上发表的562篇期刊文章。随后利用VOSviewer、Science of Science (Sci2)和Gephi进行文献计量分析(如关键词共现、书目耦合)和网络分析测试(如被引、共被引分析)。关键词共现和共被引分析结果表明,我国社会保险知识集群主要有福利保障、社会保险福利和社会保险运营三个方面。通过分析发现排名靠前的文章基于不平等、社会保险和再分配分别为408(LC)和1042(GC),通过声望分析其页面排名值为0.010574。此外,它也被观察到I. Nielsen作为一个作者做出了最实质性的贡献,R. Smyth和C. Nyland紧随其后。同时,观察到社会保障变量与109值的最大总联系强度。该研究还提请注意具体的不足之处,包括研究集中于区域、发展中国家和不发达国家的研究不足、研究人员之间的知识分享不足、方法多样性有限以及缺乏关于社会保险在促进社会从大流行病中复苏中的作用的研究。
Synthesizing social insurance research: A bibliometric analysis
Social insurance has been a pivotal tool in implementing social security. The purpose of the study is to analyze the existing information clusters (areas) in the field of social insurance. Clusters define related and unrelated groups in the field of social insurance. These groups will help streamline and identify areas where little or no research has been conducted to present. To achieve the objective, the study employed a precise and systematic procedure to gather 562 journal articles published in Scopus-indexed journals from 1926–2022. Subsequently, VOSviewer, Science of Science (Sci2), and Gephi were utilized to conduct bibliometric analysis (such as keyword co-occurrence and bibliographic coupling) and network analysis tests (such as citation and co-citation analysis). The results of keyword co-occurrence and co-citation analysis suggest there are three knowledge clusters: welfare provisions, benefits provided by social insurance, and social insurance operational aspects. Through analysis found top article-based Inequality, social insurance, and redistribution with 408(LC) and 1042(GC) and its page rank value is 0.010574 through prestigious analysis. Additionally, it is also observed that I. Nielsen had made the most substantial contributions as an author, with R. Smyth and C. Nyland following closely in the rankings. Also, observed maximum total link strength with 109 value on social security variable. The study also drawn attention to specific deficiencies, including regional concentration of research, insufficient research in developing and underdeveloped countries, inadequate knowledge sharing among researchers, limited methodological diversity, and a lack of research on the role of social insurance in facilitating society’s recovery from the pandemic.