Factors associated with employee engagement in South Africa : original research

作者
Sebastiaan Rothmann,Sebastiaan Jr. Rothmann
出处
期刊:Sa Journal of Industrial Psychology [AOSIS]
卷期号:36 (2): 1-12 被引量:1
链接
摘要

Orientation: Knowledge of the factors associated with employee engagement is important for practitioners and researchers in industrial/organisational psychology in South Africa. Research purpose: The objective of this study was to investigate the factors associated with employee engagement using two models, namely the personal engagement model of Kahn (1990), and the work engagement model of Schaufeli and Bakker (2004). Motivation for the study: Scientific knowledge is needed regarding the factors that are associated with employee engagement. Research design, approach and method: Survey designs were used with two samples taken from various South African organisations (n = 467 and n = 3775). The Work Engagement Scale, the Psychological Conditions Scale and the Antecedents Scale were administered for purposes of study 1. The Utrecht Work Engagement Scale and the Job Demands-Resources Scale were administered for purposes of study 2. Main findings: The results of study 1 showed that two psychological conditions, namely psychological meaningfulness and psychological availability, were positively associated with employee engagement. Work role fit was the best predictor of psychological meaningfulness and employee engagement. The results of study 2 showed that all job resources were positively associated with employee engagement. Organisational support and growth opportunities were the best predictors of vigour, dedication and absorption. Pratical/managerial implications: Interventions to increase employee engagement should focus on work role fit. Job resources, including an intrinsically rewarding job, organisational support and advancement opportunities should be made available to increase employees' engagement. Contribution/value-add: This study isolated the most important factors associated with employee engagement in South Africa.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
LaBB完成签到 ,获得积分10
1秒前
小支发布了新的文献求助10
2秒前
义气凌雪完成签到,获得积分20
2秒前
Criminology34举报英吉利25求助涉嫌违规
3秒前
3秒前
3秒前
3秒前
小马甲应助凶狠的白桃采纳,获得10
3秒前
xuejingling发布了新的文献求助10
4秒前
yyyxixi发布了新的文献求助10
4秒前
cz完成签到 ,获得积分10
5秒前
KK发布了新的文献求助10
6秒前
帅气鹭洋发布了新的文献求助10
7秒前
7秒前
科研通AI6.4应助张诗远采纳,获得10
7秒前
8秒前
panpanpan发布了新的文献求助10
8秒前
欣喜烙完成签到 ,获得积分10
8秒前
自由的语柳完成签到,获得积分10
8秒前
王柯发布了新的文献求助20
10秒前
11秒前
李健的小迷弟应助Strange采纳,获得10
11秒前
研友_ZGjaGn完成签到,获得积分10
11秒前
11122发布了新的文献求助10
12秒前
13秒前
13秒前
Steam完成签到,获得积分20
13秒前
13秒前
14秒前
科研通AI6.3应助义气凌雪采纳,获得10
15秒前
虚心的非笑完成签到,获得积分10
17秒前
23发布了新的文献求助10
18秒前
18秒前
激昂的秀发完成签到,获得积分10
18秒前
19秒前
不嘻嘻嘻发布了新的文献求助10
19秒前
19秒前
cmz发布了新的文献求助10
20秒前
万能图书馆应助慢慢采纳,获得10
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Structural Analysis 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7352041
求助须知:如何正确求助?哪些是违规求助? 8963453
关于积分的说明 19041920
捐赠科研通 7001208
什么是DOI,文献DOI怎么找? 3221458
关于科研通互助平台的介绍 2385864
邀请新用户注册赠送积分活动 2201900