首页> 外文学位 >Self-perceived employability, organizational commitment, and demographic characteristics as predictors of employee engagement.
【24h】

Self-perceived employability, organizational commitment, and demographic characteristics as predictors of employee engagement.

机译:自我感知的就业能力,组织承诺和人口统计学特征可预测员工的敬业度。

获取原文
获取原文并翻译 | 示例

摘要

This study was conducted for the purpose of examining the relationship between employee engagement, self-perceived employability, organizational commitment, and demographic characteristics using a causal-comparative approach. The research also examined how demographic characteristics such as job level, educational level, gender, generation, and organizational size may predict employee engagement. The research design used the statistical methods of multiple regression analysis and analysis of variance (ANOVA). Data were collected using convenience sampling from 88 employees in South and Central Florida organizations, with a 39% response rate. The data collection instruments used included the Utrecht Work Engagement Scale, the Organizational Commitment Questionnaire and the Self-Perceived Individual Employability Scale. Demographic data were collected to better understand who respondents were and to address predictability of demographic variables. Results of multiple regression analysis found that the independent variables of self-perceived employability and organizational commitment were significant predictors of employee engagement. A significant regression equation was found, F (2,85) = 57.575, p=.001, with an R2 of .575. The total and individual demographic variables such as job level, educational level, gender, generation, and organizational size were found to be not significant predictors of employee engagement. The analysis revealed that an estimated 57% of the variance of the engagement of employees in Central and South Florida organizations can be accounted for by organizational commitment and employability predictors. This study makes significant contributions to theoretical discussions and practical application in the field regarding employee engagement.
机译:进行这项研究的目的是使用因果比较法检查员工敬业度,自我感知的就业能力,组织承诺和人口特征之间的关系。该研究还研究了人口统计特征(例如工作水平,教育水平,性别,年龄和组织规模)如何预测员工敬业度。研究设计使用多元回归分析和方差分析(ANOVA)的统计方法。使用便利抽样从佛罗里达州中南部组织的88名员工收集了数据,答复率为39%。所使用的数据收集工具包括乌得勒支工作投入量表,组织承诺调查表和自我感知个人就业量表。收集了人口统计数据以更好地了解谁是受访者,并解决人口统计变量的可预测性。多元回归分析的结果发现,自我感知的就业能力和组织承诺的独立变量是员工敬业度的重要预测指标。发现一个重要的回归方程,F(2,85)= 57.575,p = .001,R2为0.575。发现总的和个人的人口统计变量,例如工作水平,学历,性别,年龄和组织规模,并不是员工敬业度的重要预测指标。分析显示,中佛罗里达州和南佛罗里达州组织员工敬业度的估计差异中,有57%可以由组织承诺和就业能力预测因素来解释。这项研究为有关员工敬业度的理论讨论和实际应用做出了重要贡献。

著录项

  • 作者

    Volkov, Igor V.;

  • 作者单位

    Barry University.;

  • 授予单位 Barry University.;
  • 学科 Occupational psychology.;Psychology.;Organizational behavior.
  • 学位 Ed.D.
  • 年度 2016
  • 页码 146 p.
  • 总页数 146
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号