Artificial Meets Emotional Intelligence: Shaping The Future Of Work And Customer Engagement In The Digital Age

Authors

  • Taleb M Hammad Research Scholar, Department of Healthcare Management, Kennedy University Author

Keywords:

Artificial Intelligence, Emotional Intelligence, Digital Transformation, Workplace Dynamics, Consumer Engagement.

Abstract

This empirical study investigates how the integration of artificial intelligence (AI) and emotional intelligence (EI) is transforming organizational dynamics and consumer interactions in today's digital ecosystem. Through mixed-methods research involving 312 professionals across technology, retail, healthcare, and financial sectors, we examine the complementary nature of AI systems with human emotional capabilities. Our findings reveal that organizations implementing AI-EI fusion strategies experienced a 27% increase in employee engagement, 31% enhancement in customer satisfaction metrics, and 23% improvement in overall operational efficiency. Additionally, the data demonstrates significant correlations between emotionally intelligent AI deployments and positive workplace culture indicators (r=0.68, p<0.001). The research identifies four critical integration frameworks that successfully balance technological advancement with emotional competence: adaptive learning systems, empathy-augmented interfaces, sentiment-responsive automation, and ethical intelligence governance. These findings contribute to emerging literature on human-machine collaboration by providing empirical evidence that the most successful digital transformations occur when artificial intelligence is strategically complemented by emotional intelligence frameworks, creating a synergistic relationship that enhances both workplace dynamics and consumer engagement.

Downloads

Download data is not yet available.

References

M. Huang and J. Davidson, "Emotional recognition algorithms for enhanced user interaction," IEEE Transactions on Affective Computing, vol. 10, no. 3, pp. 352-367, 2019.

[2] V. Kumar, S. Rajan, R. Venkatesan, and J. Lecinski, "Understanding the role of artificial intelligence in customer experience management," Journal of Marketing, vol. 84, no. 4, pp. 24-45, 2020.

[3] A. Fernandez and C. Alonso, "Collaborative intelligence: Human-AI teamwork in organizational contexts," Organization Science, vol. 33, no. 2, pp. 213-234, 2022.

[4] W. Chen, Z. Liu, and S. Hoffman, "Emotionally intelligent interfaces and consumer brand relationships," Journal of Consumer Research, vol. 49, no. 5, pp. 687-705, 2023.

[5] J. Lopez and N. Sharma, "Standardizing emotional intelligence metrics in AI systems: Challenges and opportunities," Information Systems Research, vol. 32, no. 1, pp. 103-121, 2021.

[6] P. Wilson, "Ethical dimensions of emotion recognition technologies: Privacy and manipulation concerns," Journal of Business Ethics, vol. 169, no. 3, pp. 498-512, 2020.

[7] P. Wilson and J. Chen, "User experience in emotionally intelligent systems: A longitudinal study," MIS Quarterly, vol. 45, no. 2, pp. 387-409, 2021.

[8] E. Ramirez and T. Johnson, "AI-enabled productivity enhancements in manufacturing environments," Journal of Operations Management, vol. 38, no. 4, pp. 218-236, 2020.

[9] X. Li, K. Wang, and D. Chen, "Artificial intelligence implementation and organizational performance: A multinational study," Strategic Management Journal, vol. 43, no. 3, pp. 342-361, 2022.

[10] T. Nguyen and S. Thompson, "Barriers to AI-EI integration: Case studies from financial service organizations," Journal of Financial Services Research, vol. 59, no. 1, pp. 85-102, 2021.

[11] P. Salovey and J. D. Mayer, "Emotional intelligence," Imagination, Cognition and Personality, vol. 9, no. 3, pp. 185-211, 1990.

[12] J. Rodriguez and M. Patel, "Conceptual frameworks for emotionally intelligent AI systems," AI Magazine, vol. 42, no. 2, pp. 31-47, 2021.

[13] S. Zhang, T. Miller, and M. Tonti, "Complementarity between artificial and emotional intelligence in workplace settings," Academy of Management Review, vol. 47, no. 4, pp. 618-639, 2022.

[14] M. Anderson, D. Reeves, and S. Chang, "Artificial empathy: Designing emotionally intelligent virtual assistants," International Journal of Human-Computer Studies, vol. 157, pp. 102714, 2022.

[15] J. Kim and L. Martinez, "Neural networks for emotion detection: Advances and limitations," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, no. 4, pp. 378-392, 2023.

[16] B. Garcia, R. Montoya, and J. Webb, "Emotional intelligence training for human-AI collaboration," Human Resource Management Review, vol. 33, no. 3, 100847, 2023.

[17] C. Thompson, "Affective computing and workplace productivity: An empirical assessment," Computers in Human Behavior, vol. 119, 106731, 2021.

[18] G. Lee, T. Park, and H. Kim, "AI-enhanced emotional intelligence in customer service interactions," Journal of Service Research, vol. 26, no. 1, pp. 82-97, 2023.

[19] D. Richards and K. Branson, "Sentiment analysis in employee feedback systems: Balancing privacy and insight," Journal of Applied Psychology, vol. 108, no. 4, pp. 552-568, 2023.

[20] P. Kotter and A. Silverman, "Change management challenges in AI implementation: A multi-case study," California Management Review, vol. 65, no. 2, pp. 84-105, 2022.

R. Yao, J. Henderson, and M. Farah, "Emotion recognition accuracy in human-AI interaction contexts," Nature Machine Intelligence, vol. 4, no. 5, pp. 378-389, 2022.

[22] S. Venkatesh, R. Gopal, and P. Adamczyk, "Trust development in AI-mediated customer relationships," Journal of Marketing Research, vol. 59, no. 3, pp. 524-542, 2022.

[23] H. Davenport and J. Miller, "When algorithms feel: Designing emotional responses in AI systems," ACM Transactions on Computer-Human Interaction, vol. 30, no. 2, pp. 1-28, 2023.

[24] L. Wu, Y. Chen, and P. Morris, "Explainable emotional intelligence: Transparency in AI decision processes," Decision Support Systems, vol. 162, 113812, 2022.

[25] M. Reynolds and S. Venkatesh, "Industry variations in AI adoption: Regulatory and cultural factors," Industrial Marketing Management, vol. 106, pp. 352-367, 2022.

[26] G. Bostrom, J. Levine, and K. Sunder, "Measuring emotional intelligence in organizational contexts: Validation of a multi-dimensional assessment," Personnel Psychology, vol. 75, no. 3, pp. 489-513, 2022.

[27] A. Huang and R. Pearson, "Employee adaptation to AI integration: Longitudinal study of financial sector professionals," Journal of Vocational Behavior, vol. 132, 103691, 2022.

[28] N. Johnson and T. Phillips, "Coding emotion: Natural language processing for sentiment-aware AI," Communications of the ACM, vol. 66, no. 5, pp. 78-86, 2023.

[29] P. Vasquez and A. Gentry, "Customer perceptions of emotionally responsive virtual assistants," Journal of Interactive Marketing, vol. 58, pp. 24-41, 2022.

[30] R. Singh, A. Gupta, and M. Chatterjee, "Algorithmic emotional intelligence: Ethical considerations and governance frameworks," Journal of Business Research, vol. 148, pp. 208-224, 2022

Published

2025-01-29

Issue

Section

Articles

How to Cite

Artificial Meets Emotional Intelligence: Shaping The Future Of Work And Customer Engagement In The Digital Age. (2025). International Journal of Multidisciplinary Engineering In Current Research, 10(1), 141-150. https://ijmec.com/index.php/multidisciplinary/article/view/734