Role of Artificial Intelligence in Handling Emotions and Organizational Conflicts and Prediction of Job Satisfaction of Information Technology Employees

Authors

  • S. Sakthi, B. Akila

Keywords:

Artificial Intelligence (AI), Emotional Intelligence (EI), Organizational Conflicts

Abstract

Background and Aim: Artificial Intelligence is the involvement of technology or computers to perform the process of human activities. Emotional Intelligence and conflicts are interrelated and both should have proper control over one another to have a better work performance among the employees. The study aims to identify the role of Artificial Intelligence in handling Emotions and organizational conflicts and predict the satisfaction level of employees in the Information Technology sector.

Methods:  Descriptive research is the type of research adopted for the research study. The target sample of the study was collected from Information Technology employees who are working in different fields of the IT sector. The total sample of the study comprises 224 employees in companies from Chengalpattu district. Statistical techniques like the Structural Equation model using Amos and the prediction of Job satisfaction using MATLAB are also computed.

Results: The findings of the research results show that there is a cordial relationship between Artificial Intelligence, Emotions, and Organizational conflicts in the Workplace along with job satisfaction. The predicted results of job satisfaction are also depicted in the results.

Conclusion: Based on the study findings it was concluded that the individual's Emotions and organizational conflicts can be resolved and managed through Artificial Intelligence using the methods suggested by it. This will help the organization to make fruitful decisions.

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Published

26.03.2024

How to Cite

S. Sakthi. (2024). Role of Artificial Intelligence in Handling Emotions and Organizational Conflicts and Prediction of Job Satisfaction of Information Technology Employees. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 3080 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5964

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Section

Research Article