Modern Cause and Effect Model by Factors of Root Cause for Accident Prevention in Small to Medium Sized Enterprises

Background: Factors related to root causes can cause commonly occurring accidents such as falls, slips, and jammed injuries. An important means of reducing the frequency of occupational accidents in small- to medium-sized enterprises (SMSEs) of South Korea is to perform intensity analysis of the roo...

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Autores principales:	Youngsig Kang, Sunghwan Yang, Patrick Patterson
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Cause and effect model Commonly occurring accidents Consciousness factors Educational policies Intensity analysis Perceptual and cognitive education Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/5b6ae9291aa24af08a315e1dff8eb89a
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spelling	oai:doaj.org-article:5b6ae9291aa24af08a315e1dff8eb89a2021-11-30T04:15:39ZModern Cause and Effect Model by Factors of Root Cause for Accident Prevention in Small to Medium Sized Enterprises2093-791110.1016/j.shaw.2021.08.002https://doaj.org/article/5b6ae9291aa24af08a315e1dff8eb89a2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2093791121000743https://doaj.org/toc/2093-7911Background: Factors related to root causes can cause commonly occurring accidents such as falls, slips, and jammed injuries. An important means of reducing the frequency of occupational accidents in small- to medium-sized enterprises (SMSEs) of South Korea is to perform intensity analysis of the root cause factors for accident prevention in the cause and effect model like decision models, epidemiological models, system models, human factors models, LCU (life change unit) models, and the domino theory. Especially intensity analysis in a robot system and smart technology as Industry 4.0 is very important in order to minimize the occupational accidents and fatal accident because of the complexity of accident factors. Methods: We have developed the modern cause and effect model that includes factors of root cause through statistical testing to minimize commonly occurring accidents and fatal accidents in SMSEs of South Korea and systematically proposed educational policies for accident prevention. Results: As a result, the consciousness factors among factors of root cause such as unconsciousness, disregard, ignorance, recklessness, and misjudgment had strong relationships with occupational accidents in South Korean SMSEs. Conclusion: We conclude that the educational policies necessary for minimizing these consciousness factors include continuous training procedures followed by periodic hands-on experience, along with perceptual and cognitive education related to occupational health and safety.Youngsig KangSunghwan YangPatrick PattersonElsevierarticleCause and effect modelCommonly occurring accidentsConsciousness factorsEducational policiesIntensity analysisPerceptual and cognitive educationPublic aspects of medicineRA1-1270ENSafety and Health at Work, Vol 12, Iss 4, Pp 505-510 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Cause and effect model Commonly occurring accidents Consciousness factors Educational policies Intensity analysis Perceptual and cognitive education Public aspects of medicine RA1-1270
spellingShingle	Cause and effect model Commonly occurring accidents Consciousness factors Educational policies Intensity analysis Perceptual and cognitive education Public aspects of medicine RA1-1270 Youngsig Kang Sunghwan Yang Patrick Patterson Modern Cause and Effect Model by Factors of Root Cause for Accident Prevention in Small to Medium Sized Enterprises
description	Background: Factors related to root causes can cause commonly occurring accidents such as falls, slips, and jammed injuries. An important means of reducing the frequency of occupational accidents in small- to medium-sized enterprises (SMSEs) of South Korea is to perform intensity analysis of the root cause factors for accident prevention in the cause and effect model like decision models, epidemiological models, system models, human factors models, LCU (life change unit) models, and the domino theory. Especially intensity analysis in a robot system and smart technology as Industry 4.0 is very important in order to minimize the occupational accidents and fatal accident because of the complexity of accident factors. Methods: We have developed the modern cause and effect model that includes factors of root cause through statistical testing to minimize commonly occurring accidents and fatal accidents in SMSEs of South Korea and systematically proposed educational policies for accident prevention. Results: As a result, the consciousness factors among factors of root cause such as unconsciousness, disregard, ignorance, recklessness, and misjudgment had strong relationships with occupational accidents in South Korean SMSEs. Conclusion: We conclude that the educational policies necessary for minimizing these consciousness factors include continuous training procedures followed by periodic hands-on experience, along with perceptual and cognitive education related to occupational health and safety.
format	article
author	Youngsig Kang Sunghwan Yang Patrick Patterson
author_facet	Youngsig Kang Sunghwan Yang Patrick Patterson
author_sort	Youngsig Kang
title	Modern Cause and Effect Model by Factors of Root Cause for Accident Prevention in Small to Medium Sized Enterprises
title_short	Modern Cause and Effect Model by Factors of Root Cause for Accident Prevention in Small to Medium Sized Enterprises
title_full	Modern Cause and Effect Model by Factors of Root Cause for Accident Prevention in Small to Medium Sized Enterprises
title_fullStr	Modern Cause and Effect Model by Factors of Root Cause for Accident Prevention in Small to Medium Sized Enterprises
title_full_unstemmed	Modern Cause and Effect Model by Factors of Root Cause for Accident Prevention in Small to Medium Sized Enterprises
title_sort	modern cause and effect model by factors of root cause for accident prevention in small to medium sized enterprises
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/5b6ae9291aa24af08a315e1dff8eb89a
work_keys_str_mv	AT youngsigkang moderncauseandeffectmodelbyfactorsofrootcauseforaccidentpreventioninsmalltomediumsizedenterprises AT sunghwanyang moderncauseandeffectmodelbyfactorsofrootcauseforaccidentpreventioninsmalltomediumsizedenterprises AT patrickpatterson moderncauseandeffectmodelbyfactorsofrootcauseforaccidentpreventioninsmalltomediumsizedenterprises
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Modern Cause and Effect Model by Factors of Root Cause for Accident Prevention in Small to Medium Sized Enterprises

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