Volume 4, Number 1 (2020)
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Home > Journals > SCIREA Journal of Management > Archive > Paper Information

Examining the Relationship between Emotional Intelligence and Work Productivity during COVID-19: Multiple Regression Analysis

Volume 4, Issue 1, February 2020    |    PP. 1-15    |PDF (236 K)|    Pub. Date: June 19, 2020
14 Downloads     313 Views  

Author(s)
Rohan Thompson, Huston-Tillotson University, USA
Jason Carter, Huston-Tillotson University, USA
Hector Gomez Macfarland, Huston-Tillotson University, USA

Abstract
The main objective of this study was to examine the relationship between emotional intelligence factors and work productivity during COVID-19. A total of 307 participants were surveyed from five large organizations in the technology industry and higher education institutions over six days. The emotional intelligence factors considered in the study were self-perception, interpersonal skills, and stress management. Data was collected from each employee on the three variables and measured against their work productivity rating, which was provided by their immediate supervisor. The multiple regression analysis was conducted to examine the possible relationships, and it was found that the emotional intelligence factors of self-perception, interpersonal skills, and stress management were significantly related to work productivity during COVID-19. Discussion of the findings followed the result of the study, including its limitations. The model obtained from the multiple regression analysis was consistent with previous research and supports the notion that factors of emotional intelligence are essential to workplace productivity even in challenging situations

Keywords
self-perception, interpersonal skills, stress management, work productivity

Cite this paper
Rohan Thompson, Jason Carter, Hector Gomez Macfarland, Examining the Relationship between Emotional Intelligence and Work Productivity during COVID-19: Multiple Regression Analysis, SCIREA Journal of Management. Vol. 4 , No. 1 , 2020 , pp. 1 - 15 .

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