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Effective Organizational Justice and Organizational Citizenship Behavior Using Fuzzy Logic to Obtain the Optimal
Wajdee Mohammadkair Ebrheem Ajlouni1, Gurvinder Kaur, Saleh Ali Alomari
1School of Humanities & Social Science, Thapar Institute of Engineering & Technology (Deemed University), Patiala, Punjab, India (Drs Ajlouni and Kaur); and Faculty of Science and Information Technology, Jadara University, Irbid, Jordan (Dr Alomari).
Background:
Organizational justice (OJ) is important for organizational success; it reflects employee perceptions of fair treatment. OJ promotes employee retention and work engagement toward high performance. Organizational citizenship behavior (OCB) is a discretionary behavior, describing how employees contribute to a smoother organizational performance. OCB enhances employee satisfaction, quality of care, patients' satisfaction with hospital performance, and the use of best hospital practices. Moreover, OJ increases employee satisfaction and is perceived as a factor that encourages workers to go "above and beyond" their responsibilities, while avoiding OCB in the workplace may reduce awareness of justice. Previous efforts have shown that perceptions of a just workplace promoted OCB at different industrial companies. Still, few studies have investigated this relationship in hospitals.
Objectives:
This study addressed this gap by investigating the significant relationships of OJ and OCB in a large Jordanian hospital.
Methods:
A fuzzy approach to Pearson's correlation was applied to test the formulated hypothesis, with an aim to better understand causal correlation of vague data.
Results:
A statistically significant, positive correlation existed between OJ and OCB. Maximum correlations existed between distributive justice and altruism, procedural justice, courtesy, and interactional or interpersonal justice and conscientiousness. This study showed that procedural justice was the best predictor of OCB.
Conclusion:
This study revealed a correlation between OJ and OCB, reflecting the diversity of these correlation relationships, which can help decision makers to form their strategic plans.
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