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The main objective of this study was to investigate the underlying factors contributing to unsafe behavior among machinery operators through questionnaires distributed among a sample of 48 operators. Data analysis conducted via SPSS software and Spearman analysis revealed several key contributors to unsafe behavior. These factors encompassed demographical aspects (such as age and educational background), job-related stress, dissatisfaction at work, social support, and the impact of addictive behaviors. Spearman correlation analysis further elucidated the interconnectedness among these variables offering insights valuable in mitigating unsafe behaviors.
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Gladious et al. (2024) studied this question.
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