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Employee Fluctuation in Quality Management Profession: Exploiting Social Professional Network Data
Engineering Management Journal ( IF 1.9 ) Pub Date : 2021-07-23 , DOI: 10.1080/10429247.2021.1952022
Jelena Ruso 1 , Maja Glogovac 1 , Jovan Filipović 1 , Veljko Jeremić 1
Affiliation  

Abstract

Due to the lack of a significant volume of research on factors that affect employee fluctuation in the quality management profession, the paper is focused on exploring certain individual and organizational factors as possible influencers on quality management professionals’ turnover. As a business and employment-oriented social networking service, LinkedIn was used to gain data on education, contacts, company ownership type, workplace type, and fluctuation behavior of 1014 quality management professionals. For statistical analysis, χ2 contingency table, ANOVA with Tukey/Tamhane posthoc, and CHAID Decision Tree Analysis were employed. The results showed that employees’ fluctuation depends on the degree of education, career development activities as well as the type of current examinee workplace. There is also an association between the type of company ownership and employee fluctuations. Further, the greater number of LinkedIn contacts was found to be related to more pronounced fluctuation. Since employees’ fluctuation significantly influences company performance and competitiveness, the paper could provide valuable insight for managers to understand what could predict employees’ fluctuation, which is especially important for knowledge-based contemporary organizations.



中文翻译:

质量管理专业的员工波动:利用社会专业网络数据

摘要

由于缺乏对影响质量管理专业员工波动的因素的大量研究,本文着重探讨某些个人和组织因素作为质量管理专业人员离职的可能影响因素。作为面向商业和就业的社交网络服务,LinkedIn 被用来获取 1014 名质量管理专业人员的教育、联系人、公司所有权类型、工作场所类型和波动行为的数据。对于统计分析,采用了 χ2 列联表、Tukey/Tamhane 事后方差分析和 CHAID 决策树分析。结果表明,员工的波动取决于受教育程度、职业发展活动以及当前应试者工作场所的类型。公司所有权类型与员工波动之间也存在关联。此外,发现更多的 LinkedIn 联系人与更明显的波动有关。由于员工波动显着影响公司绩效和竞争力,本文可为管理者提供有价值的见解,以了解可以预测员工波动的因素,这对于以知识为基础的当代组织尤为重要。

更新日期:2021-07-23
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