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Original scientific article

EMOTIONAL INTELLIGENCE AND HUMAN–AI COLLABORATION: A MULTILEVEL ANALYSIS OF EMPLOYEE CREATIVITY AND ADAPTIVE PERFORMANCE

By
Tisha Tomy Orcid logo ,
Tisha Tomy
Contact Tisha Tomy

Department of Commerce and Management, Amrita Vishwa Vidyapeetham, Amritapuri, India

R. Sheeja Orcid logo ,
R. Sheeja

Department of Commerce and Management, Amrita Vishwa Vidyapeetham, Amritapuri, India

V. Santhosh Kumar Orcid logo ,
V. Santhosh Kumar

Program Coordinator & Assistant Professor, Department of Management Studies, Christ Academy Institute for Advanced Studies, Bangalore, India

Veera Shireesha Sangu Orcid logo ,
Veera Shireesha Sangu

Assistant Professor, School of Commerce and Management Studies, Dayananda Sagar University, Bangalore, India

Ruben Anto Michael Orcid logo ,
Ruben Anto Michael

Assistant Professor, Department of Business and Management, Christ University, Bengaluru, India

Pavithra Srinivas Orcid logo
Pavithra Srinivas

Assistant Professor, Department of PGDM, Ramaiah Institute of Management Studies, Bangalore, India

Abstract

Workplaces that are equipped with artificial intelligence (AI) technology have changed the relationship between technology and people at work and require knowledge about how the interaction between human competencies and the conditions of an organization impacts work. This paper examines the role of emotional intelligence and the ability to collaborate between humans and AI on employee creativity and adaptive performance using a multilevel analysis perspective. A quantitative methodology was chosen for this study with the use of questionnaire surveys distributed to 426 employees in organizations that use AI-based technologies. Data were analysed using Hierarchical Linear Modeling (HLM). The findings showed that there was a significant effect of emotional intelligence on employee creativity (γ = 0.41, p < 0.001) and adaptive performance (γ = 0.37, p < 0.001). In addition, there was also a significant positive impact of human and AI collaboration ability on creativity (γ = 0.39, p < 0.001) and adaptive performance (γ = 0.43, p < 0.001). From the findings of the intraclass correlation test, it is evident that organizational-level variables contribute to creativity by 18% and to adaptive performance by 21%. Moreover, organizational support for AI had a significant cross-level moderating effect on the relationship (γ = 0.28, p < 0.01). The final model accounted for 54% of the variability in employee creativity and 59% of the variability in adaptive performance. This study shows that a successful AI workplace needs to combine technological capacity and emotional intelligence, along with employee adaptability. The current research empirically proves how important it is to combine AI technology implementation with human-centred strategy in the workplace.

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Citation

This is an open access article distributed under the  Creative Commons Attribution Non-Commercial License (CC BY-NC) License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

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