Paper
10 April 2023 Organisational justice and psychological contract breach: a comparative study among public and private sector in the Kingdom of Bahrain
Ahmad Mohamad Abu Qalbein
Author Affiliations +
Proceedings Volume 12616, International Conference on Mathematical and Statistical Physics, Computational Science, Education, and Communication (ICMSCE 2022); 1261603 (2023) https://doi.org/10.1117/12.2674887
Event: International Conference on Mathematical and Statistical Physics, Computational Science, Education, and Communication (ICMSCE 2022), 2022, Istanbul, Turkey
Abstract
Organisational decisions shape individual experiences of their job relationship. Given the many contrasts between the private and public sectors, this research examines how public and private sector workers perceive their psychological contracts. Organisational Justice (OJ) separates the two sectors because the realisation of fairness is a purview of individual organisations and management capacities. The study found a positive direct impact of OJ on the breach of the psychological contract. This suggests that workers who see a decline in their views of justice within their employment connections may sense sentiments of violation and hold their organisation accountable for a significant breach of their psychological contract. The study also found a significant difference in OJ perception and employee commitment to the psychological contract. This is because the private and public sectors in the kingdom of Bahrain are different playfields. The sustenance of the OJ and psychological contract depends on several factors, such as religious beliefs, nationality, industry and background. This paper established the comparisons between the private and public sectors in Bahrain regarding OJ and commitment to psychological contracts.
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Ahmad Mohamad Abu Qalbein "Organisational justice and psychological contract breach: a comparative study among public and private sector in the Kingdom of Bahrain", Proc. SPIE 12616, International Conference on Mathematical and Statistical Physics, Computational Science, Education, and Communication (ICMSCE 2022), 1261603 (10 April 2023); https://doi.org/10.1117/12.2674887
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KEYWORDS
Data modeling

Analytical research

Human resources

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