| Literature DB >> 34900369 |
Youngsig Kang1, Sunghwan Yang2, Patrick Patterson3.
Abstract
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.Entities:
Keywords: Cause and effect model; Commonly occurring accidents; Consciousness factors; Educational policies; Intensity analysis; Perceptual and cognitive education; Root causes
Year: 2021 PMID: 34900369 PMCID: PMC8640618 DOI: 10.1016/j.shaw.2021.08.002
Source DB: PubMed Journal: Saf Health Work ISSN: 2093-7911
Fig. 1Procedure for development of the modern cause and effect model by factors of root cause in SMSEs of South Korea.
Participant and enterprise characteristics
| No. | Variables | Frequency | Percentage (%) |
|---|---|---|---|
| Residence area | |||
| 1 | City of Seoul | 164 | 11.8 |
| 2 | Gyeonggi Province | 671 | 48.2 |
| 3 | City of Incheon | 348 | 25.0 |
| 4 | Chungcheong Province | 30 | 2.2 |
| 5 | Gyeongsang Province | 54 | 3.9 |
| 6 | Pusan | 51 | 3.7 |
| 7 | Other | 73 | 5.2 |
| No. of workers | |||
| 8 | Above 300 | 566 | 40.7 |
| 9 | 100–300 | 176 | 12.7 |
| 10 | 50–100 | 319 | 22.9 |
| 11 | <50 | 330 | 23.7 |
| Industry | |||
| 12 | Manufacturing | 680 | 48.9 |
| 13 | Construction | 635 | 45.7 |
| 14 | Service | 76 | 5.5 |
| Length of service (years) | |||
| 15 | >10 | 631 | 45.4 |
| 16 | 5–10 | 319 | 22.9 |
| 17 | 1–5 | 281 | 20.2 |
| 18 | <1 | 160 | 11.5 |
| Sex | |||
| 19 | Male | 1,318 | 94.8 |
| 20 | Female | 73 | 5.2 |
| Age | |||
| 21 | ≥50 | 330 | 23.7 |
| 22 | 40s | 409 | 29.4 |
| 23 | 30s | 175 | 34.4 |
| 24 | 20s | 177 | 12.7 |
| Occupation | |||
| 25 | Worker | 811 | 58.3 |
| 26 | Health and safety manager | 580 | 41.7 |
| Total | 1,391 | 100.0 |
The Modern cause and effect model by intensity analysis for SMSEs workers in South Korea
| Rank | Fundamental causal factor | Frequency | Sample response rate |
|---|---|---|---|
| 1 | Unconsciousness | 550 | 0.395 |
| 2 | Disregard | 210 | 0.151 |
| 3 | Ignorance | 172 | 0.124 |
| 4 | Recklessness | 122 | 0.088 |
| 5 | Misjudgment | 120 | 0.086 |
| 6 | Lack of knowledge or awareness of risk factors | 118 | 0.085 |
| 7 | Inadequate standards of facility internal work | 109 | 0.078 |
| 8 | Insufficient training | 107 | 0.077 |
| 9 | Stress (job, life, and workplace) | 103 | 0.074 |
| 10 | Insufficient safety checks in facilities | 100 | 0.072 |
| 11 | Poor-quality temporary construction equipment | 99 | 0.071 |
| 12 | Low-bid system among partner firms | 77 | 0.055 |
| 13 | Inappropriate protective devices | 67 | 0.046 |
| 14 | Insufficient safety signs | 52 | 0.037 |
| 15 | Poor work atmosphere | 41 | 0.029 |
| 16 | Owner leadership | 38 | 0.027 |
| 17 | Absence of health and safety managers | 35 | 0.025 |
| 18 | Low morale | 34 | 0.022 |
| 19 | Insufficient work safety plan | 20 | 0.0142 |
| 20 | Insufficient health and safety education for new workers | 17 | 0.012 |
| 21 | Unpleasant work environment | 15 | 0.011 |
| 22 | Shortage of health and safety managers | 5 | 0.004 |
The normal testing results with significance levels ( = 0.05)
| Item of sample rate | Test statistic | Rejection region |
|---|---|---|
| P1 = P2 | 9.27 | Z ≥ |± 1.96| |
| P2 = P4 | 3.20 | Z ≥ |± 1.96| |
| P4 = P15 | 2.12 | Z ≥ |± 1.96| |
| P15 = P20 | 2.15 | Z ≥ |± 1.96| |
Where, P1 = Unconsciousness.
P2 = Disregard.
P4 = Recklessness.
P12 = Low-bid system among partner firms.
P15 = Work atmosphere.
P20 = Insufficient education of health and safety for new workers.