The Role of Cognitive Flexibility, Self- Efficacy and Emotional Intelligence in Predicting Attitude Towards AI and Job Satisfaction: A Moderated Mediation Analysis
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Thapar Institute of Engineering and Technology
Abstract
With the dynamic nature of the present-day workforce, soft skills have become as important as
technical skills, if not more. The rapid changes in the working environment and increasing
technological adaptations like Artificial Intelligence highlights the need to understand the
employee’s attitudes towards advancements like the use of AI and how satisfied they are with
their present jobs, while also tap into the role of psychological resources such as emotional
intelligence and self- efficacy in the process The present study aims to find whether cognitive
flexibility influences an employee’s job satisfaction and attitude towards artificial intelligence
when it is mediated by emotional intelligence and whether the level of self- efficacy has a role to
play in the relationship using a sample of 110 working professionals employed in organizations
making use of AI. Moderated Mediation Model was employed to conduct the analysis. Result
showed that cognitive flexibility is a valuable skill with a positive relationship with emotional
intelligence, depending on the degree of self-efficacy. Mediation analysis also identified that
emotional intelligence is an essential mechanism accounting for the relationship between
cognitive flexibility and job satisfaction and attitude towards artificial intelligence. Additionally,
the analysis of moderated mediation showed strong evidence that self-efficacy is an important
factor in furthering the influence of cognitive flexibility on emotional intelligence and, as such,
highlighting their significance in enabling an employee's mindset towards artificial intelligence
in evolving work environments and encouraging positive workplace results such as job
satisfaction.
