Impact of emotional intelligence on job performance and organizational commitment among bank managers

Patiraj Kumari, Bhanu Priya
2017 International Journal of Interdisciplinary and Multidisciplinary Studies   unpublished
Nowadays, emotional intelligence (EI) has been considered as a topic of greatest interest. An increasing number of studies have been done on emotional intelligence, but there is no unifying work focused on the measurement of emotional intelligence of managers of banking sector. Emotional intelligence can be defined as the potential to feel, use, communicate, recognize, remember, describe, identify, learn from, manage, understand and explain emotions (Ezzatabadi, et al. 2012). There are various
more » ... There are various factors in an organization that are affected by the employees' emotional intelligence. This study was carried out to find the relationship among emotional intelligence, organizational commitment, and job performance of managers of banking sector. Data was collected from 600 managers of banking sector using questionnaire method. Emotional intelligence and job performance scales developed by the researchers during the study and organizational commitment scale developed by Allen and Mayer (1990), were used as tools for data collection. Correlation, Linear Regression, and t-Test were used as statistical tool for data analysis. The result of t-test indicated that both public and private sector bank managers had no significant difference on emotional intelligence scale, whereas, the public sector bank managers had higher level of organizational commitment and job performance than managers of private sector bank. The results from the correlation test of the study revealed that there was a positive and significant relationship between emotional intelligence and the organizational commitment and between emotional intelligence and the job performance of bank managers. The impact of emotional intelligence on organizational commitment and job performance were found to be positive and statistically significant through regression analysis test.
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