Literature DB >> 32913382

The role of risk avoidance and locus of control in workers' near miss experiences: Implications for improving safety management systems.

Emily J Haas1, Patrick L Yorio2.   

Abstract

The process industry has made major advancements and is a leader in near-miss safety management, with several validated models and databases to track close call reports. However, organizational efforts to develop safe work procedures and rules do not guarantee that employees will behaviorally comply with them. Assuming that at some point, every safety management system will need to be examined and realigned to help prevent incidents on the job, it is important to understand how personality traits can impact workers' risk-based decisions. Such work has been done in the mining industry due to its characteristically high risks and the results can be gleaned to help the process industry realign goals and values with their workforce. In the current study, researchers cross-sectionally surveyed 1,334 miners from 20 mine sites across the United States, varying in size and commodity. The survey sought to understand how mineworkers' risk avoidance could impact their near miss incidents on the job - a common precursor to lost-time incidents. Multiple regressions showed that as a miner's level of risk avoidance increased by 1 unit in the 6-point response scale, the probability of experiencing a near miss significantly decreased by 30% when adjusting for relevant control variables. Additionally, a significant interaction between risk avoidance and locus of control suggested that the effect of risk avoidance on near misses is enhanced as a miner's locus of control increases. A one-unit increase in locus of control appends the base effect of risk avoidance on near misses with an additional 8% decrease in the probability. Findings are discussed from a near-miss safety management system perspective in terms of methods to foster both risk avoidance and locus of control in an effort to reduce the probability of near misses and lost time at the organizational level within the process industry and other high-hazard industries.

Entities:  

Keywords:  Health and safety management system; Locus of control; Lost time incident; Mining; Near miss incident; Poisson regression; Risk avoidance

Year:  2019        PMID: 32913382      PMCID: PMC7479994          DOI: 10.1016/j.jlp.2019.03.005

Source DB:  PubMed          Journal:  J Loss Prev Process Ind        ISSN: 0950-4230            Impact factor:   3.660


  26 in total

1.  Safety and insecurity: exploring the moderating effect of organizational safety climate.

Authors:  Tahira M Probst
Journal:  J Occup Health Psychol       Date:  2004-01

2.  On "black swans" and "perfect storms": risk analysis and management when statistics are not enough.

Authors:  Elisabeth Paté-Cornell
Journal:  Risk Anal       Date:  2012-03-02       Impact factor: 4.000

Review 3.  The problem with incident reporting.

Authors:  Carl Macrae
Journal:  BMJ Qual Saf       Date:  2015-09-07       Impact factor: 7.035

4.  Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory.

Authors:  Dominique Lord; Simon P Washington; John N Ivan
Journal:  Accid Anal Prev       Date:  2005-01

5.  Modeling the antecedents of proactive behavior at work.

Authors:  Sharon K Parker; Helen M Williams; Nick Turner
Journal:  J Appl Psychol       Date:  2006-05

6.  Responses to occupational hazards: exit and participation.

Authors:  T Cree; E K Kelloway
Journal:  J Occup Health Psychol       Date:  1997-10

7.  Improving risk management: from lame excuses to principled practice.

Authors:  Elisabeth Paté-Cornell; Louis Anthony Cox
Journal:  Risk Anal       Date:  2014-07-02       Impact factor: 4.000

8.  Perceived risk of occupational injury: control over pace of work and blue-collar versus white-collar work.

Authors:  W A Harrell
Journal:  Percept Mot Skills       Date:  1990-06

9.  Examining Factors that Influence the Existence of Heinrich's Safety Triangle Using Site-Specific H&S Data from More than 25,000 Establishments.

Authors:  Patrick L Yorio; Susan M Moore
Journal:  Risk Anal       Date:  2017-08-02       Impact factor: 4.000

Review 10.  Epidemiologic research on the etiology of injuries at work.

Authors:  M A Veazie; D D Landen; T R Bender; H E Amandus
Journal:  Annu Rev Public Health       Date:  1994       Impact factor: 21.981

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.