Does management graduates? emotional intelligence competencies predict their work performance? Insights from Artificial Neural Network Study

被引:3
|
作者
Thomas, Bella [1 ]
Senith, S. [1 ]
Kirubaraj, A. Alfred [1 ]
Ramson, S. R. Jino [2 ]
机构
[1] Karunya Inst Technol & Sci, Coimbatore 641114, India
[2] VIT Bhopal Univ, Bhopal, Madhya Pradesh, India
关键词
ANN; Emotional Quotient; Leadership styles; Job performance; Management students; JOB-SATISFACTION; EMPLOYEE;
D O I
10.1016/j.matpr.2022.02.537
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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. Copyright (c) 2022 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Artificial Intelligence & Energy Systems.
引用
收藏
页码:466 / 472
页数:7
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