Proposed Models of Organizational Justice
Three different models have been proposed to explain the structure of organizational justice perceptions including a two factor model, a three factor model, and a four factor model. Many researchers have studied organizational justice in terms of the three factor model (e.g., DeConinck, 2010; Liljegren & Ekberg, 2010) while others have used a two factor model in which interpersonal justice is subsumed under procedural justice while yet some other studies suggest a four factor model best fits the data (Colquitt, 2001). Greenberg (1990) proposed a two-factor model and Sweeney and McFarlin (1993) found support for a two-factor model composed of distributive and procedural justice. Through the use of structural equation modeling, Sweeney and McFarlin found that distributive justice was related to outcomes that are person-level (e.g., pay satisfaction) while procedural justice was related to organization-level outcomes (e.g., organizational commitment).
The accuracy of the two-factor model was challenged by studies that suggested a third factor (interactional justice) may be involved. Bies and Moag (1986) argue that interactional justice is distinct from procedural justice because it represents the social exchange component of the interaction and the quality of treatment whereas procedural justice represents the processes that were used to arrive at the decision outcomes. Generally researchers are in agreement regarding the distinction between procedural and distributive justice but there is more controversy over the distinction between interactional and procedural justice (Cohen-Charash & Spector, 2001). Colquitt (2001) demonstrated that a four-factor model (including procedural, distributive, interpersonal, and informational justice) fit the data significantly better than a two or three factor model. Colquitt’s construct validation study also showed that each of the four components have predictive validity for different key organizational outcomes (e.g., commitment and rule compliance).
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