Does Work Engagement Effectively Predict Subjective Well-Being? : A Meta-Analysis Using R Statistical Software-Reference-Cited by-同舟云学术

Does Work Engagement Effectively Predict Subjective Well-Being? : A Meta-Analysis Using R Statistical Software

Published:2023-07-01 Issue:2 Volume:8 Page:3259-3270
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Ding Hui¹,Si Shoujing²

Affiliation:

1. 1 School of Marxism, Anhui Vocational College of Defense Technology , Lu’an , Anhui , China

2. 2 School of economic and trade management, Anhui Vocational College of Defense Technology , Lu’an , Anhui , China

Abstract

Abstract Does work engagement effectively predict subjective well-being? In this paper, we investigated the relationship between work engagement and subjective well-being by synthesizing 176 effects from 59 studies involving 21927 subjects. The results showed that work engagement were positively correlated with subjective well-being, while job burnout were negatively correlated with subjective well-being. Literature sources significantly adjusted the relationship among work engagement, job burnout and subjective well-being. The paper proved that work engagement and subjective well-being are closely related, and literature sources may play a moderating role.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Link

https://www.sciendo.com/pdf/10.2478/amns.2023.2.01128

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