Predictors of employee well-being: A global measurements using reflective-formative model
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...
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| Language: | English |
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Elsevier
2024-11-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024162536 |
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| author | Willy Tambunan Sri Gunani Partiwi Adithya Sudiarno |
| author_facet | Willy Tambunan Sri Gunani Partiwi Adithya Sudiarno |
| author_sort | Willy Tambunan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-c9706e82c2e747e69275f5450c28cab7 |
| institution | Kabale University |
| issn | 2405-8440 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj-art-c9706e82c2e747e69275f5450c28cab72024-11-30T07:12:09ZengElsevierHeliyon2405-84402024-11-011022e40222Predictors of employee well-being: A global measurements using reflective-formative modelWilly Tambunan0Sri Gunani Partiwi1Adithya Sudiarno2Department of Industrial and Systems Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, Indonesia; Department of Industrial and Systems Engineering, Universitas Mulawarman, Samarinda, 75119, IndonesiaDepartment of Industrial and Systems Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, Indonesia; Corresponding author.Department of Industrial and Systems Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, IndonesiaBackground: 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.http://www.sciencedirect.com/science/article/pii/S2405844024162536Employee well-beingReflectiveFormativeInterventionHealth and safety |
| spellingShingle | Willy Tambunan Sri Gunani Partiwi Adithya Sudiarno Predictors of employee well-being: A global measurements using reflective-formative model Heliyon Employee well-being Reflective Formative Intervention Health and safety |
| title | Predictors of employee well-being: A global measurements using reflective-formative model |
| title_full | Predictors of employee well-being: A global measurements using reflective-formative model |
| title_fullStr | Predictors of employee well-being: A global measurements using reflective-formative model |
| title_full_unstemmed | Predictors of employee well-being: A global measurements using reflective-formative model |
| title_short | Predictors of employee well-being: A global measurements using reflective-formative model |
| title_sort | predictors of employee well being a global measurements using reflective formative model |
| topic | Employee well-being Reflective Formative Intervention Health and safety |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024162536 |
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