Understanding Absenteeism in the Electrical Construction Industry through Data Analytics
The study identified several factors with a statistically significant influence on absenteeism rates:
- Age was a consistent predictor, with younger employees generally showing higher absenteeism than older employees.
- An employee’s position and tenure were also significant; foremen consistently had lower absenteeism, while employees with less than one year of tenure had higher rates.
The impact of commute distance varied, proving significant for some companies where longer commutes correlated with higher absenteeism, but not for others.
The findings show that absenteeism is a severe problem, leading to a loss of 10%-15% of work hours.
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