• Title/Summary/Keyword: 불안전행동

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A Study on the Management Method for Preventing Workers' unsafe Behavior in Chemical Plant (화학공장의 근로자 불안전상태 예방을 위한 관리방법에 관한 연구)

  • Baek, Ju Hong;Lim, Dong-Hui;Kim, Min-Seop;Seol, Ji Woo;Yoo, Byung Tae;Ko, Jae Wook
    • Journal of the Korean Institute of Gas
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    • v.26 no.3
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    • pp.1-9
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    • 2022
  • The causes of accidents occurring in chemical plants vary, but 96% of industrial accidents occurring worldwide are caused by workers' unsafe behavior. The International Labour Organization (ILO) has announced 20 elements of workers' anxiety-warning behaviors that occur on multiple occasions at industrial sites in order to warn them of the risk of accidents caused by workers' anxiety-driven behavior, and to prevent industrial accidents, workers' anxiety-driven behavior should be controlled under stress In this study, major types of unsafe behavior were analyzed on the basis of information on the accident investigation history of domestic workspaces in order to find out how workers can manage their unsafe behavior. Based on the results of the analysis of the major anxiety war behavior, the root cause of causing anxiety war behavior was analyzed using the Swiss Cheese Model, and each root cause management method was proposed.

The Relationship between Unsafe Acts and Fall Accident of Workers Using ETA (ETA를 활용한 근로자의 불안전한 행동과 떨어짐 사고의 관계)

  • Jeong, Eunbeen;Choi, Jaewook;Lee, Chansik
    • Korean Journal of Construction Engineering and Management
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    • v.21 no.3
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    • pp.28-38
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    • 2020
  • The large-scaled and high-rise construction structures in recent years have increased high place work, leading to an increase in falling accidents (hereinafter, "accidents"). The need for prediction and management of unsafe acts of workers at construction sites has been raised as unsafe acts of workers are identified as the main cause of industrial accidents. This research aims at deriving the improvement effect of unsafe acts by presenting the relationship between unsafe acts of workers and accidents at construction sites as a probability. Unsafe acts of workers were derived based on the analysis of accident cases. In addition, surveys were conducted to calculate the probability of occurrence of accidents caused by unsafe acts (hereinafter, 'accident probability'). The Event Tree Analysis (ETA) was utilized to confirm the final probability according to the combination of unsafe acts and improvement effect. The accident probability by unsafe act was found to be the highest for working after drinking (95.41%) and to be the lowest for equipment and machine utilization (65.70%). The accident probability according to a combination of unsafe acts was the highest when all of the unsafe acts were conducted (13.23%) and was the lowest when none of the unsafe acts were conducted (0.00%).

Analysis of the Effects of Smart Experiential Safety Education on pre- and Post-construction Safety and Unsafe Behaviors of Construction Workers (스마트 체험식 안전교육이 건설근로자의 사전사후 안전과 불안전행동에 미치는 영향분석)

  • Moon, You-Mi;Cho, Choon-Hwan;Kim, young-hoon
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2022.10a
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    • pp.155-157
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    • 2022
  • 기존의 안전교육 교수방법은 강의 방식으로 전달하고 있어 근로자의 참여를 이끌어내는데 한계점이 있으며, 불안전한 행동에 의한 안전사고를 예방하기 위해서는 스마트 체험식 안전교육으로 패러다임을 전환할 필요성이 있다. [연구배경/목적]:스마트 체험식 안전교육은 건설현장에서 근로자들이 보다 더 빠르게 위험을 인지하고 여기에 맞는 안전작업 이행과 위험발생 시 응급대처 능력 등을 향상시키므로 사전사후 학습전이의 효과성을 검정할 수 있다. 이러한 관점에서 안전사고를 예방하기 위한 본 연구는 안전교육의 체험학습방법과 참여방법, 교육콘텐츠 접근방법을 통하여 근로자의 안전행동 유도와 불안전행동 감소에 미치는 영향검증이 목적이다. [연구방향/범위]:실제 건설현장과 동일하게 작업환경을 구성해 놓은 스마트 체험식 안전교육시설에서 추락체험, 낙하물체험, 장비협착체험, 화재, 감전재해 등의 실제 사고를 체험해 볼 수 있도록 만들어진 체험학습 방법과 가상(VR, AR, 메타버스)공간에서 간접경험 할 수 있는 참여방법을 다룰 것이다. 그리고 안전체험교육 사전사후의 분석을 통하여 안전 학습전이 성과를 분석한다. [연구 분석방법]:연구의 주요 변인으로는 Human-Error, 안전행동요인, 불안전행동요인, 위험감수성, 조직특성, 조직의 안전문화, 조직의 역량, 안전교육특성, 교육콘텐츠 변화가 사전사후 분석을 통하여 현장 작업 시 안전 학습전이의 효과성을 검정하였다.

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The Effect of Safety Awareness Perceived by Construction Workers on Unsafe Act: Mediation Effect of Job Satisfaction and the Adjustment Effect of Perceived Organizational Support (건설근로자가 인식하는 안전의식이 불안전한 행동에 미치는 영향: 직무만족의 매개효과와 조절후원인식의 조절효과)

  • Choi, Jae-Deog;Lee, Seung Jae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.11
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    • pp.27-32
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    • 2019
  • This study examined the mediated effects of job satisfaction and the control effects of the perceived organizational support awareness on the effects of safety awareness recognized by construction workers on unsafe acts as a way to reduce unsafe acts. To this end, 439 workers at 23 construction sites across the country received a questionnaire from July 1 to July 20, 2019 and the data were analyzed, which resulted in the following conclusions. First, the sense of safety in which construction workers are late has a direct influence on job satisfaction. Second, job satisfaction recognized by construction workers has been shown to have a direct negative effect on the anxiety act. Third, job satisfaction was influenced by the medium in relation to safety awareness and anxiety transfer act recognized by construction workers. Fourth, the adjustment effect of the perceived organizational support awareness in the relationship between safety awareness and task satisfaction was shown to be significant. This study suggests that to prevent unsafe acts at construction sites, increased safe acts reduce the level of anxiety transfer due to a high sense of safety and job satisfaction by workers.

Development and Field Validation of Safety Personality Tests for Safe Behavior and Accident Prediction (안전행동과 사고 예측을 위한 안전 성향 검사의 개발 및 현장 타당도 검증)

  • Lee, Jong-Hyeon;Kim Jimin;Moon, Kwang-Su
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2023.11a
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    • pp.211-214
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    • 2023
  • 본 연구의 목적은 안전행동과 사고 발생을 예측하고 관리하기 위해 안전성향검사 도구를 개발하고 타당도를 검증하는 것이었다. 안전 심리 분야에서 근로자의 안전 행동에 영향을 미치는 주요 변인으로 안전 리더십과 안전 문화에 대한 연구들이 많이 진행되어 왔다. Lewin에 따르면 Behavior = Person * Environment으로 환경은 물리적 환경(기계, 장비 등)과 심리-사회적(psyco-social) 환경(안전 리더십/문화)으로 구분할 수 있다. 하지만 국내의 경우 근로자 개인 특성이 안전 수행에 미치는 영향에 대한 연구는 부족하였다. 개인 특성 중 일관되게 행동에 영향을 미칠 수 있는 변인이 성격이고, Lee 등(2018)은 개인 성격이 안전/불안전 행동에 영향을 미칠 확률은 35% 이상이며, 불안전 행동으로 한정해 보면 50% 이상이라고 하였다. 그리고 불안전한 행동으로 인한 사고는 비교적 소수의 직원에 의해 발생한다고 하였다(Clarke & Robertson 2008). 따라서 안전/불안전 행동을 예측할 수 있는 성격 특성을 검증하여, 직원 선발이나 재직자 코칭에 활용한다면 산업 재해 예방에 도움이 될 수 있다

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Study on Ways to Strengthen Field Applicability of JSA Risk Assessment Techniques (JSA 위험성평가 기법의 현장 적용성 강화 방안 연구)

  • Jo, Bo-Hyun
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2023.11a
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    • pp.151-152
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    • 2023
  • 본 연구는 근로자의 행동을 현장 모니터링 즉 관찰을 통해 불안전한 행동 유발 요인들을 JSA 위험성평가를 실시하는 작업분석으로 올바른 안전작업절차서를 작성함으로써 이를 통한 불안전한 행동 요인을 제거하고 사고 및 재해를 예방할 수 있다.

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The Effect of Smart Safety and Health Activities on Workers' Intended Behavior (스마트 안전보건활동이 근로자의 의도된 행동에 미치는 영향)

  • Choonhwan Cho
    • Journal of the Society of Disaster Information
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    • v.19 no.3
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    • pp.519-531
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    • 2023
  • With the aim of preventing safety accidents at construction sites, the company aims to create safe behaviors intended through variables called smart safety and health activities to help reduce industrial accidents. Purpose: It analyzes how smart safety and health activities affect accidents caused by unsafe behavior and changes in worker behavior, which is the root cause, and verifies the hypothesis that it helps prevent safety accidents and protect workers' lives. Method: Smart safety and health activities were selected as independent variables (X), and intended safety and anxiety, which are workers' behavioral intentions, were set as dependent variables (Y), attitude and subjective norms, and planned behavioral control as parameters (M). Exploratory factor analysis, discriminant validity analysis, and intensive validity analysis of safety and health activities were used to analyze the scale's reliability and validity. To verify the hypothesis of behavior change, the study was verified through Bayesian model analysis and MC simulation's probability density distribution. Result: It was found that workers who experienced smart safety and health activities at construction sites had the highest analysis of reducing unstable behavior and performing intended safety behavior. The research hypothesis that this will affect changes in worker behavior has been proven, the correlation between variables has been verified in the structural equation and path analysis of the research analysis, and it has been confirmed that smart safety and health activities can control and reduce worker instability. Conclusion: Smart safety and health activities are a very important item to prevent accidents and change workers' behavior at construction sites.

A System Dynamics Approach for Modeling Cognitive Process of Construction Workers'Unsafe Behaviors (시스템 다이내믹스를 이용한 건설 작업자의 불안전한 행동의 인지 과정 모델링)

  • Kim, Jinwoo;Lee, Hyunsoo;Park, Moonseo;Kwon, Nahyun
    • Korean Journal of Construction Engineering and Management
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    • v.18 no.2
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    • pp.38-48
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    • 2017
  • Finding causes of workers' unsafe behaviors is important to prevent construction accidents because 80 percent of accidents occur by workers' unsafe behaviors. In this regard, this research aims to investigate possible reasons of workers' unsafe behaviors based on workers' cognitive process model using System dynamics. This study is based on two ways of workers' cognitive process which are in relation to hazard perception and failure of hazard perception. Based on existing literature, causal loops for workers' cognitive process are developed to explain workers' habituation by staying out of accidents, safety learning by experience, failure of hazard perception, and attitude change by accidents. The interactions between the developed loops provide managerial insights to reduce workers' unsafe behaviors from a safety manager's perspective including increasing the probability of workers' hazard perception through knowledge management, maintaining workers' positive attitude toward safety, and controlling first-line supervisors to eliminate workers' unsafe behavior. The research allows us to better understand the causes and solutions of workers' unsafe behaviors in workers' cognitive perspectives.