Abstract
The study aims to predict the Perceived Work Performance of Management graduates through the application of Artificial Neural Network tool. It has examined the relationship between Emotional Quotient, Leadership Quotient and Work Experience of Management graduates through the use of Artificial Neural Network. The tool tested various competencies of the management graduates to predict the most important skill that can enable better work performance and reduce the gap of employability. The test was conducted among 33 management graduates which has assessed their Emotional Quotient Score, Personality trait and Leadership traits. A multilayer Artificial Neural Network tool was used to test the rank of competencies among EQ, Leadership Quality and work experience for the Perceived Work performance. The study has confirmed that Emotional Intelligence is a key factor that has distinguished from other factors like work experience, leadership quality and personality traits for Work Performance.
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