A Neural Network Approach to Increase Project Team Effectiveness Through Emotional Intelligence

View Sample PDF

Author(s): Niranjan Rajpurohit (Jaipuria Institute of Management, Jaipur, India), Jevin Jain (NMIMS, India)and Yash Agrawal (Intellibuzz TEM Pvt. Ltd., India)
Copyright: 2023
Pages: 14
Source title: Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence
Source Author(s)/Editor(s): Chiranji Lal Chowdhary (Vellore Institute of Technology, India)
DOI: 10.4018/978-1-6684-5673-6.ch007

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference

Purchase

View A Neural Network Approach to Increase Project Team Effectiveness Through Emotional Intelligence on the publisher's website for pricing and purchasing information.

Abstract

Artificial neural networks (ANNs) and their applications have revolutionized several industries and functions, including HR, in a short span of time. These state-of-the-art AI solutions build together or independently a more efficient way for the human resource managers to predict the potential success of an employee in his or her work team. Extant research has established the positive effect of emotional intelligence on team effectiveness. Emotional intelligence is playing an increasingly bigger role in determining one's success as an effective team member. People with higher EQ are better able to work in teams, adjust to the change, and are flexible in workplace. This chapter attempts to design a model, deploying neural networks, to aid in increasing project team effectiveness.

The IRMA Community

Research IRM

A Neural Network Approach to Increase Project Team Effectiveness Through Emotional Intelligence

Purchase

Abstract

Related Content

IRMA Sponsors