Velmurugan, R. and Sudarvel, J. and Bhuvaneswari, R. and Jayanthi, N. and Sankar Ganesh, R. and Mariyappan, M. S. R. (2024) Artificial Intelligence and Emotional Intelligence in Marketing:. In: Balancing Automation and Human Interaction in Modern Marketing. IGI, pp. 82-95.
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R. Velmurugan Karpagam Academy of Higher Education, India J. Sudarvel Karpagam Academy of Higher Education, India https://orcid.org/0000-0001-6656-1992 R. Bhuvaneswari Dr. Mahalingam College of Engineering and Technology, India N. Jayanthi Vels Institute of Science, Technology, and Advanced Studies, India R. Sankar Ganesh Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India https://orcid.org/0000-0003-0708-8327 M. S. R. Mariyappan Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India Artificial Intelligence and Emotional Intelligence in Marketing
The convergence of artificial intelligence (AI) and emotional intelligence (EI) in marketing marks a transformative epoch, transcending traditional approaches to enhance customer engagement. This synergy, emphasized by contemporary marketers, harmonizes data-driven insights with empathetic understanding, crafting profoundly personalized customer experiences. Authors like Russell et al., Brynjolfsson and McAfee, Li and Karahanna, and Li and Karahanna enrich the exploration by recognizing EI's role in interpreting customer emotions, adding depth to AI's analytical capabilities. The collaborative paradigm between AI and EI, explored by scholars like Davenport and Ronanki and Mayer et al., transcends transactions to create empathetic connections with customers. As technology evolves, these insights provide a roadmap for crafting holistic marketing strategies that resonate on both rational and emotional levels, promising a future where businesses create enduring connections in the dynamic technology landscape.
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Item Type: | Book Section |
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Subjects: | Computer Science Engineering > Artificial Intelligence |
Divisions: | Computer Science |
Depositing User: | Mr IR Admin |
Date Deposited: | 05 Oct 2024 06:47 |
Last Modified: | 05 Oct 2024 06:47 |
URI: | https://ir.vistas.ac.in/id/eprint/8689 |