Return to search

Predicting Counterproductive Work Behavior with Explicit and Implicit Measures of Conscientiousness, Agreeableness, and Emotional Stability

The current study leveraged the stressor-emotion model of CWB, the reflective-impulsive model of behavior, and theories of explicit and implicit personality to investigate the roles explicit and implicit aspects of personality, and work stressors have in influencing CWB. The stressor-emotion and reflective-impulsive models suggest that in addition to reflective (i.e., explicit) processes, impulsive (i.e., implicit) processes may also influence CWB because the act can be motivated by negative emotions induced by frustrating working conditions. Theories of personality and motivation suggest that conscientiousness, agreeableness, and emotional stability predict CWB because these traits motivate people to pursue goals that reduce or increase acts of CWB. Explicit and implicit theories of personality suggest that explicit aspects of personality should predict CWB driven by explicit processes, whereas implicit aspects of personality should predict CWB driven by implicit processes. These ideas were tested by examining explicit and implicit conscientiousness, agreeableness, and emotional stability as predictors of CWB, by examining implicit personality's incremental prediction of CWB over explicit personality, and by examining the interactions between implicit personality and work stressors as predictors of CWB. A series of hierarchical regression analyses were conducted using online survey data from 194 participants. The results of this study suggest that CWBs can be influenced by both explicit and implicit aspects of personality; however, in contrast to explicit personality, implicit personality is most likely to influence CWB when individuals experience a high level of work stressors.

Identiferoai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-7329
Date01 May 2019
CreatorsZheng, Jimmy
PublisherSTARS
Source SetsUniversity of Central Florida
LanguageEnglish
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceElectronic Theses and Dissertations

Page generated in 0.0019 seconds