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员工幸福感的预测因素:使用反映性-构成性模型的全球测量

Predictors of employee well-being: A global measurements using reflective-formative model.

作者信息

Tambunan Willy, Partiwi Sri Gunani, Sudiarno Adithya

机构信息

Department of Industrial and Systems Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, Indonesia.

Department of Industrial and Systems Engineering, Universitas Mulawarman, Samarinda, 75119, Indonesia.

出版信息

Heliyon. 2024 Nov 7;10(22):e40222. doi: 10.1016/j.heliyon.2024.e40222. eCollection 2024 Nov 30.

DOI:10.1016/j.heliyon.2024.e40222
PMID:39748996
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11693885/
Abstract

BACKGROUND

Employee well-being (EW) is an integral part of occupational safety & health. Therefore, measuring EW is very important for holistically evaluating well-being instruments and measurement models. This research aimed to identify and confirm dimensions that significantly contribute to EW and also to examine the reliability and validity of the formative model of EW.

METHODS

The survey consisted of 89 items from a well-being questionnaire administered to 426 employees in the coal mining industry, covering five domains. Measurements were analyzed using partial least squares-structural equation modelling (PLS-SEM) with SmartPLS 4.1.1. The measurement and analysis were conducted in two stages, the first of which used a reflective model. Subsequently, the results of the first stage were used in the second stage as a formative model to measure EW globally.

RESULT AND CONCLUSION

Home, Community, and Society (HCS), Health Status (HS), Workplace Environment and Experience (WEE), Workplace Policies and Culture (WPC), as well as Workplace Environment and Safety Climate (WPE) domain significantly contributed to EW, as identified through first-order reflective and second-order formative models.

CONTRIBUTION

This research developed a measurement model for EW with two orders: first-order reflective and second-order formative. It also offered practical insights for organizations and companies to measure and understand EW, providing a basis for implementing effective interventions.

摘要

背景

员工福祉(EW)是职业安全与健康的一个组成部分。因此,衡量员工福祉对于全面评估福祉工具和测量模型非常重要。本研究旨在识别和确认对员工福祉有显著贡献的维度,并检验员工福祉形成性模型的信度和效度。

方法

该调查由一份福祉问卷中的89个项目组成,对426名煤炭行业员工进行了调查,涵盖五个领域。使用SmartPLS 4.1.1软件通过偏最小二乘结构方程模型(PLS-SEM)对测量数据进行分析。测量和分析分两个阶段进行,第一阶段使用反映性模型。随后,将第一阶段的结果用于第二阶段,作为一个形成性模型来整体测量员工福祉。

结果与结论

通过一阶反映性和二阶形成性模型确定,家庭、社区和社会(HCS)、健康状况(HS)、工作场所环境与体验(WEE)、工作场所政策与文化(WPC)以及工作场所环境与安全氛围(WPE)领域对员工福祉有显著贡献。

贡献

本研究开发了一个具有两个层次的员工福祉测量模型:一阶反映性和二阶形成性。它还为组织和公司测量和理解员工福祉提供了实际见解,为实施有效干预措施提供了依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a94/11693885/5535f6de8169/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a94/11693885/9441ca95655b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a94/11693885/08d59c11856b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a94/11693885/598be71158a5/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a94/11693885/5535f6de8169/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a94/11693885/9441ca95655b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a94/11693885/08d59c11856b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a94/11693885/598be71158a5/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a94/11693885/5535f6de8169/gr4.jpg

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