Document Type

Thesis

Degree

Master of Science (MS)

Department

Please see currently inactive department below.

Department

Industrial Engineering

First Advisor's Name

Marc L. Resnick

First Advisor's Committee Title

Committee Chair

Second Advisor's Name

Sergio Martinez

Third Advisor's Name

Michelle Marks

Date of Defense

11-21-2000

Abstract

The purpose of this research was to develop a methodology that would evaluate employees’ personality traits, demographic characteristics, and workplace parameters to predict safety compliance along with the moderating effect of risk perception.

One hundred and twenty five employees of a manufacturing facility were given questionnaires to gather their demographic and perception information. Surveys were also used to measure their personality characteristics, and periodic observations were recorded to document employee’s safety compliance. A significant correlation was found between compliance and the worker's perception of management's commitment to safety (r = 0.27, p < 0.01), as well as with gender (r = -0.19, p < 0.05). Females showed a significantly higher average compliance (78%), than males (69%). These findings demonstrated the value of developing a model to predict safety behavior that would assist companies In maintaining a safe work environment, preventing accidents, ensuring compliance, and reducing associated costs.

Identifier

FI14062277

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