2018
DOI: 10.1061/(asce)co.1943-7862.0001448
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Development of Data-Driven Influence Model to Relate the Workplace Environment to Human Error

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Cited by 21 publications
(8 citation statements)
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References 30 publications
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“…However, it should be noted that the quality of specialists is more important than their number and quantity [ 34 ]. Hence, participants in the Delphi survey of experts and critics who must have sufficient knowledge and experience in a similar subject should have sufficient time to participate and effective communication skills [ 18 ]. In terms of the number of specialists involved, this is usually less than 50 and often from 10 to 20 [ 35 ].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…However, it should be noted that the quality of specialists is more important than their number and quantity [ 34 ]. Hence, participants in the Delphi survey of experts and critics who must have sufficient knowledge and experience in a similar subject should have sufficient time to participate and effective communication skills [ 18 ]. In terms of the number of specialists involved, this is usually less than 50 and often from 10 to 20 [ 35 ].…”
Section: Methodsmentioning
confidence: 99%
“…Over the years, various researchers in the field of human engineering have stated that there are many general factors that significantly increase stress on the individual and, in turn, lead to a significant deterioration in his reliability [ 16 , 18 , 19 ]. Some of these general factors are as follows: poor health, the possibility of redundancy at work, having to work with people with unpredictable moods, serious financial problems, working under very high pressures and not having the right expertise to do the work in progress, experiencing problems with a spouse or children or both, poor chances for promotion, and excessive demands on people in the workplace [ 17 ].…”
Section: Research Backgroundmentioning
confidence: 99%
“…However, owing to the differences in research objects and research objectives, the importance of the above four aspects in different studies is slightly different, which needs further discussion. Near-miss falls; construction safety [26] Construction occupational health and safety [55] BN Bayesian network Safety culture; organizational culture; [56] description, explanation, control Chains of unsafe behaviors; building construction; accident prevention [57] Construction safety; safety management; human behavior; safety climate [58] Prefabricated buildings; improved human factor analysis and classification system [59] Operational tunnels [60] Electrical and mechanical (E&M) works; accident analysis [61] explanation, control Bridge construction; fall risks [19] steel construction; fall risks [62] Falling accidents; human-organizational factors [63] description, explanation Construction safety; human error; labor and personnel issues [38] Hydraulic engineering; human error [64] Safety risk analysis; tunnel construction [65] Occupational safety; accident prevention; Falls [18] explanation, prediction Human error; construction industry [66] Productivity; building project; construction management [67] DBN Dynamic Bayesian network Occupational accidents; organization factors [68] explanation, prediction…”
Section: Network Approaches Research Objects and Analysis Processmentioning
confidence: 99%
“…Schram et al (2018) desenvolvem uma estrutura conceitual para investigar os impactos do comércio internacional e do investimento em acordos sobre doenças não transmissíveis, analisando fatores de risco. Liao et al (2018) desenvolvem um modelo de influência que relaciona o erro humano ao ambiente de trabalho. Kneale et al (2018) descrevem modelos lógicos para delinear, graficamente, como intervenções levam a mudanças em resultados por meio da representação de cadeia causal de eventos, visando auxiliar revisores sistemáticos na produção de resultados úteis a tomadores de decisão.…”
Section: Análise Da Cadeia Causalunclassified