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

dc.contributor.authorRajpurohit, Niranjan
dc.contributor.authorJain, J.
dc.contributor.authorAgrawal, Y.
dc.date.accessioned2026-01-23T06:27:33Z
dc.date.issued2023
dc.description.abstractArtificial 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.
dc.identifier.citationRajpurohit, N., Jain, J., & Agrawal, Y. (2023). A Neural Network Approach to Increase Project Team Effectiveness Through Emotional Intelligence. In C. Chowdhary (Ed.), Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence (pp. 93-106). IGI Global.
dc.identifier.isbn9781668456736
dc.identifier.isbn9781668456750
dc.identifier.urihttp://103.191.209.183:4000/handle/123456789/963
dc.language.isoen
dc.publisherIGI Global
dc.titleA Neural Network Approach to Increase Project Team Effectiveness Through Emotional Intelligence
dc.typeBook chapter

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