10 research outputs found

    Safety climate and increased risk: the role of deadlines in design work

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    Although much research indicates positive safety climate is associated with reduced safety risk, we argue this association is not universal and may even be reversed in some contexts. Specifically, we argue that positive safety climate can be associated with increased safety risk when there is pressure to prioritize production over safety and where workers have some detachment from the consequences of their actions, such as found in engineering design work. We used two indicators of safety risk: use of heuristics at the individual level and design complexity at the design team level. Using experience sampling data (N = 165, 42 design teams, k = 5752 observations), we found design engineers’ perceptions of team positive safety climate were associated with less use of heuristics when engineers were not working to deadlines, but more use of heuristics when engineers were working to deadlines. Independent ratings were obtained of 31 teams’ designs of offshore oil and gas platforms (N = 121). For teams that worked infrequently to deadlines, positive team safety climate was associated with less design complexity. For teams that worked frequently to deadlines, positive team safety climate was associated with more design complexity

    Safety climate and increased risk: The role of deadlines in design work

    Get PDF
    Although much research indicates positive safety climate is associated with reduced safety risk, we argue this association is not universal and may even be reversed in some contexts. Specifically, we argue that positive safety climate can be associated with increased safety risk when there is pressure to prioritize production over safety and where workers have some detachment from the consequences of their actions, such as found in engineering design work. We used two indicators of safety risk: use of heuristics at the individual level and design complexity at the design team level. Using experience sampling data (N = 165, 42 design teams, k = 5752 observations), we found design engineers’ perceptions of team positive safety climate were associated with less use of heuristics when engineers were not working to deadlines, but more use of heuristics when engineers were working to deadlines. Independent ratings were obtained of 31 teams’ designs of offshore oil and gas platforms (N = 121). For teams that worked infrequently to deadlines, positive team safety climate was associated with less design complexity. For teams that worked frequently to deadlines, positive team safety climate was associated with more design complexity

    The fragile flavours of hope

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    Varuni Wimalasiri and Abhi Phatak reflect on the personal and culinary triumphs of women who survived the Sri Lankan civil war – now the subject of a fund-raising book of stories and recipe

    Social construction of the aetiology of designer error in the UK oil and gas industry:a stakeholder perspective

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    The work of designers is a vital aspect of the design-construction process. Error during design of major hazardous installations can translate into risk to the safe operation of the installation. Yet designer error remains a generally neglected topic in risk research in the oil and gas industry. This paper examines the perceptions of the aetiology of designer error by exploring dialogues with various stakeholders of the design-construction process in the oil and gas industry. Twenty-three stakeholders, including designers, fabricators, clients and regulators, were interviewed using semi-structured interviews. The findings indicate that while designer competency levels, barriers to communication and attitudes to safety were among some of the main factors perceived to be causes of errors, participants also believed that these factors were somewhat reinforced by the time and budgetary restraints imposed on design projects, and driven mainly by wider pressures prevailing in the industry. Findings helped to illustrate that stakeholders in the industry perceive design error to be attributable to a combination of system-wide and latent errors, which were very different to those affecting end users in the oil and gas industry and should be addressed separately

    Coping processes linking the demands-control-support model, affect and risky decisions at work

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    As a model of job design, the demands-control-support model (DCSM) indicates that dynamic processes involving individual agency underpin the effects of job characteristics. Specifically, the DCSM indicates that control and social support facilitate effective coping with work demands. To examine such processes in detail, 32 nuclear design engineers participated in an experience sampling study (number of observations = 456). Findings indicate that enacting problem-focused coping by control and support across situations may be beneficial for affect. Problem-focused coping enacted by control was also related to fewer decisions that bear risks to design safety. Although higher levels of risky decisions were related to consistent use of emotional-approach enacted by control coping across situations, this form of coping used in specific demanding episodes was related to less cognitive error and fewer risky decisions two hours later. Emotional-approach enacted through support in specific episodes had a mixed pattern of relationships with outcomes. Theoretically, the findings indicate the importance of understanding the purpose for which job characteristics are enacted. Practically, the findings indicate the importance of shaping both problem-solving and emotional processes alongside job redesign

    Linking the demands-control-support model to innovation: The moderating role of personal initiative on the generation and implementation of ideas

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    The demands–control–support model indicates that workers can use job control and social support for problem solving. We examined whether personal initiative moderated relationships between, on the one hand, job control used for problem solving and social support used for problem solving and, on the other hand, ideas generation and implementation. We operationalized job control used for problem solving as ‘changing aspects of work activities to solve problems’. We operationalized social support used for problem solving as ‘discussing problems to solve problems’. Using an experience sampling methodology, participants provided data for up to four times a day for up to five working days (N= 89). The extent to which people ‘changed aspects of their work activities to solve problems’ was associated with higher levels of ideas generation for people with high personal initiative. The extent to which people ‘discussed problems to solve problems’ was associated with higher levels of ideas implementation for people with high personal initiative
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