eprintid: 7505
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/75/05
datestamp: 2023-11-09 16:19:19
lastmod: 2023-11-09 16:19:19
status_changed: 2023-11-09 16:09:35
type: conference_item
metadata_visibility: show
creators_name: Isha, A.S.N.
creators_name: Javaid, M.U.
title: Psychosocial risks and wellbeing: A variance based approach
ispublished: pub
keywords: Biohazards; Chemical hazards; Chemical industry; Economics; Hazards; Health; Health hazards; Industrial hygiene; Information management; Innovation; Sustainable development, Emotional demands; Partial least square (PLS); Psychosocial factors; Psychosocial hazards; Quantitative demands; Social support; Structural equation modeling; Well-being at works, Risk perception
note: cited By 0; Conference of 28th International Business Information Management Association Conference - Vision 2020: Innovation Management, Development Sustainability, and Competitive Economic Growth ; Conference Date: 9 November 2016 Through 10 November 2016; Conference Code:126153
abstract: Psychosocial factors and wellbeing at work are now become one of the widely accepted and important occupational health concerns besides the revelation of traditional issues of chemical, physical, and biological hazards. Psychosocial hazards are those risks that generate from the psyche perceptions of the individuals concern in accordance with the risks of the societal environment. The study was conducted in the chemical industry of Malaysia and has investigated the relationship between psychosocial job demands and resources over the workers' health and wellbeing in light of covariance based-partial least square (PLS) approach to structural equation modeling (SEM). The results showed that psychosocial emotional demands and social support from supervisor and colleagues have a significant impact on the workers' health & wellbeing, whereas, quantitative demands have not supported our hypotheses with a t-value of 0.033. The global fit measure (GoF) of our hypothesized model is 0.36 which showed that this research model had sufficient support to validate model globally as this value is exactly in accordance with the recommended cut-off value. The findings revealed that future need to focus on more nuanced measurements of psychosocial risks factors with large sample size in accordance to job demand-resource (JD-R) model.
date: 2016
publisher: International Business Information Management Association, IBIMA
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013871820&partnerID=40&md5=df75552551bcf379e5a1f153d2d0f051
full_text_status: none
publication: Proceedings of the 28th International Business Information Management Association Conference - Vision 2020: Innovation Management, Development Sustainability, and Competitive Economic Growth
pagerange: 3990-4001
refereed: TRUE
isbn: 9780986041983
citation:   Isha, A.S.N. and Javaid, M.U.  (2016) Psychosocial risks and wellbeing: A variance based approach.  In: UNSPECIFIED.