Predicting Counterproductive Work Behavior from Guilt Proneness in a Diverse Workforce

A study by Taya R. Cohen of Carnegie Mellon University investigated the relationship between guilt proneness and counterproductive work behavior (CWB). The research used a diverse sample of employed adults from various industries and organizational levels. CWB was found to be less frequent among individuals high in guilt proneness, and was also predicted by gender, age, turnover intention, interpersonal conflict, and negative affect.

Use Cases

• Predicting counterproductive work behavior based on guilt proneness scores.
• Analyzing the relationship between workplace conflict and negative affect on employee behavior.
• Modeling the influence of demographic factors like age and gender on workplace conduct.
• Developing hiring decision-support tools that incorporate personality trait assessments.

Strengths

• Study based on a diverse sample of employed adults from various industries and organizational levels.
• Analysis controlled for other known correlates of counterproductive work behavior.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Carnegie Mellon University (Taya R. Cohen)

Collection Method

Likely contains survey data from a sample of employed adults.