Multimethod Assessment System for Identifying Highly Risky Workers.

While human behavior is known to be one of the key causes of industrial accidents, existing approaches to personality assessment of blue-collar workers could not efficiently differentiate behavioral patterns associated with increased probability of an accident. Analysis of the largest man-made disasters, which occurred at the major petrochemical company in Russia throughout the last 2 years, revealed that risk appetite had led to the most severe disasters in terms of loss of human life, environmental impact, and financial losses. In order to identify risky individuals among the company workers, a multimethod approach with behavioral, cognitive, psychometric, and implicit measures has been utilized. Over hundred volunteers reported on life facts associated with risk propensity and underwent multimethod assessment. Results indicated that measures from all four groups of methods were able to reliably identify risky individuals. This study provides an example of efficient online multimethod assessment system introduced at a major petrochemical company in order to assist managers in personnel assessment and selection. [ABSTRACT FROM AUTHOR]