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Aggression and organizational justice as predictors of counterproductive work behavior


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Fadljević, Anamaria. (2018). Aggression and organizational justice as predictors of counterproductive work behavior. Diploma Thesis. Filozofski fakultet u Zagrebu, Department of Psychology. [mentor Parmač Kovačić, Maja].

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The majority of research conducted so far in the field of predicting counterproductive work behavior emphasizes personality traits, measured exclusively via questionnaires, or situational factors. The aim of this research is to examine the relationship of the personality trait aggression (its explicit and implicit component), three types of organizational justice (distributive, procedural and interpersonal) and counterproductive work behavior. Additionally, we were interested in the potential existence of a moderator effect of organizational justice in the relationship between explicit and implicit aggression and counterproductive work behavior. The research was conducted on 210 people who filled out a battery of tests which included the Short-Form Buss-Perry Aggression Questionnaire, Implicit Association Test for Aggression, Distributive Justice Questionnaire, Procedural Justice Questionnaire, Interpersonal Justice Questionnaire and Counterproductive Work Behavior Questionnaire. The results have shown that only explicit aggression is a significant predictor of counterproductive work behavior, while implicit aggression does not have a significant contribution in comparison to explicit aggression in terms of predicting criteria. The moderator effect of distributive, procedural and interpersonal justice on the relationship between aggression and counterproductive work behavior has not been confirmed.

Item Type: Diploma Thesis
Uncontrolled Keywords: explicit aggression, implicit aggression, organizational justice, counterproductive work behaviour
Subjects: Psychology > Organizacijska psihologija
Departments: Department of Psychology
Supervisor: Parmač Kovačić, Maja
Date Deposited: 18 Jun 2018 07:44
Last Modified: 18 Jun 2018 07:44

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