The role of emotional intelligence and artificial intelligence in organizations : harmonizing human and machine

The book offers a novel approach to how emotional intelligence enriches human-centered management, whereas artificial intelligence enhances data-driven decision-making and operational effectiveness.

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Bibliographic Details
Other Authors Pandey, Jay Kumar, 1987- (Editor), Rai, Mritunjay, 1985- (Editor), Ray, Samrat, 1980- (Editor)
Format Electronic eBook
LanguageEnglish
Published New York : Productivity Press/Routledge, 2026.
Subjects
Artificial intelligence > Business applications.
Emotional intelligence.
Management.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781040450819
1040450814
9781003608042
1003608043
9781040450833
1040450830
9781041000716
Physical Description1 online resource (348 pages)

Cover

Table of Contents:
  • Cover
  • Half Title
  • Title Page
  • Copyright Page
  • Table of Contents
  • Preface
  • Acknowledgments
  • Abbreviations
  • Editors' Bios
  • List of Contributors
  • Chapter 1: The Roles of Artificial Intelligence and Emotional Intelligence in Marketing Organizations
  • 1.1 Introduction
  • 1.1.1 Artificial Intelligence
  • 1.1.2 Emotional Intelligence
  • 1.2 Role of AI in Marketing Organizations
  • 1.2.1 Predictive Analysis and Personalization
  • 1.2.2 Efficiency and Automation
  • 1.2.3 Improving Customer Experience
  • 1.2.4 Retailing
  • 1.2.5 Digital Marketing
  • 1.2.6 Decision Support and Strategy
  • 1.3 Role of EI in Marketing Organization
  • 1.3.1 Self-Awareness Metrics
  • 1.3.2 Self-Regulation Metrics
  • 1.3.3 Empathy Metrics
  • 1.3.4 Social Skills Metrics
  • 1.4 The Interplay of EI and AI in Marketing Organizations
  • 1.5 Case Studies of the Integration of AI and EI in Marketing
  • 1.5.1 Amazon's Integration of AI and EI
  • 1.5.2 Starbucks' Integration of AI-Driven Personalization and Emotional Branding
  • 1.5.3 Coca-Cola's Emotional Storytelling and AI-Driven Insights
  • 1.6 AI Tools for Marketing Organizations
  • 1.6.1 Machine Learning (ML)
  • 1.6.2 Natural Language Processing (NLP)
  • 1.6.3 Chatbots
  • 1.6.4 Predictive Analytics
  • 1.7 Ethical Issues and Considerations in Using AI in Marketing
  • 1.8 The Future of AI and EI in Marketing Organization
  • 1.9 The Limitations of Integrating EI and AI in Marketing Organization
  • 1.10 Conclusion
  • References
  • Chapter 2: PLS Algorithm for Personal Traits of Leaders and Innovative Behavior of Lecturers in Organizations
  • 2.1 Introduction
  • 2.2 Hypothesis
  • 2.2.1 Leadership Traits (LT) and Engagement (ENG)
  • 2.2.2 Leadership Traits (LT) and Creativity (CR)
  • 2.2.3 Leadership Traits (LT) and Innovative Behavior (INBE)
  • 2.2.4 Engagement (ENG) and Creativity (CR)
  • 2.2.5 Engagement (ENG) and Work Performance (PER)
  • 2.2.6 Creativity (CR) and Work Performance (PER)
  • 2.2.7 Creativity (CR) and Innovative Behavior (INBE)
  • 2.2.8 Work Performance (PER) and Innovative Behavior (INBE)
  • 2.2.9 Empowering Leadership (EL), Leadership Traits (LT), Creativity (CR), and Innovative Behavior (INBE)
  • 2.3 Methodology
  • 2.3.1 Sample
  • 2.3.2 Structural Model Assessment
  • 2.4 Results and Discussion
  • 2.4.1 Measurement Model Evaluation
  • 2.4.2 Structural Model Evaluation
  • 2.5 Discussion
  • 2.6 Conclusion, Implications, and Limitations
  • 2.6.1 Conclusion
  • 2.6.2 Practical Implications
  • 2.6.3 Limitations
  • References
  • Chapter 3: Determinants of Emotional Attachment to a Tourist Destination: A Qualitative Analysis Using Generative AI and Bibliometric Analysis
  • 3.1 Introduction
  • 3.2 Literature Review
  • 3.2.1 Conceptual Framework
  • 3.2.2 Affective Memory
  • 3.2.3 Sense of Belonging
  • 3.2.4 Symbolic Value
  • 3.2.5 Determinants and Measurement Indicators of Emotional Attachment Dimensions

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