Moderating Role Of AI On The Relationship Between Emotional Intelligence And Employee Performance

Abstract

Purpose - The phenomenon of globalization and the establishment of a borderless economy have given rise to significant expectations and prerequisites for individuals in terms of their capacity to function effectively not only within local enterprises but also within multinational firms. The recruitment or deployment of expatriates for international employment is consistently a subject of interest and a primary focus for both professionals and scholars. The existing body of research literature has consistently highlighted the growing significance of emotional intelligence among IT Employees. The objective of this study is to examine the moderating influence of AI on the association between emotional intelligence and employee performance.

Methodology / Approach - A comprehensive examination of existing literature was undertaken, encompassing a systematic review approach. A total of 40 scholarly research publications were carefully examined in order to ascertain the research gap and determine the variables that would be investigated in the present study. The research employs a descriptive methodology, utilizing a single method quantitative analysis to gather data from IT Employees residing in the city of Bangalore. The sample for the study was established using the Kregcie Morgan method, which takes into account an unknown population size, a margin of error of 10%, and a confidence level of 95%. As a result, a sample size of 100 IT Employees was selected for the investigation. The IT Employees are those who have been residing in Bangalore for a minimum duration of six months due to their involvement in a business endeavor. The IT Employees can be members of any work group. The research instrument utilized in this study was derived from a prior investigation, and its validity was confirmed through the application of master validity statistics as established by Gaskins. The study analysis is performed utilizing the Statistical Package for the Social Sciences (SPSS) software, while the moderation analysis is executed employing the Andrew Hayes method Macros.

Findings - The study results indicate that AIhas a moderating effect in the association between emotional intelligence and employee performance. The presence of AIis positively associated with enhanced emotional intelligence, which subsequently contributes to improved employee performance. Real time intelligence structures play a essential role in improving the emotional intelligence of IT Employees by using presenting them with immediately access to applicable data and insights. These structures paintings by means of continuously gathering, studying, and interpreting information from numerous resources, including social media, news articles, and consumer comments. By making use of superior technologies like herbal language processing and system studying, real time intelligence structures can perceive styles, trends, and sentiments, allowing IT Employees to make knowledgeable decisions and effectively manage their feelings in go-cultural environments.

Implications - This study holds significance for organizations that employ IT Employees and contributes to the academic domain.  Future researchers may choose to utilize IT Employees as a focal point for their investigations, with an emphasis on assessing various components such as cross-cultural adjustment and adaptability