Improving service quality and customer engagement with marketing intelligence /
| Corporate Author: | |
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| Other Authors: | , , , |
| Format: | eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
Business Science Reference (an imprint of IGI Global),
[2024]
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| Series: | Advances in marketing, customer relationship management, and e-services (AMCRMES) book series.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Chapter 1. Decoding customer DNA: leveraging marketing intelligence for future engagement
- Chapter 2. Enhancing customer experiences with service robots: the role of consumer behavior, customer orientation, and emotional intelligence
- Chapter 3. Disentangling the link between service quality and customer brand engagement: the case of Abu Khader Automotive
- Chapter 4. Unleashing the power of customer personalization in the digital age with artificial intelligence
- Chapter 5. Negative customer engagement and brand hate in users of extreme snow-sports brands
- Chapter 6. From interaction to immersion: exploring AR and VR's transformative role in consumer engagement
- Chapter 7. High performance work system: a competitive advantage chronicle for management
- Chapter 8. Exploring the synergy of artificial intelligence and big data analytics in enhancing customer engagement strategies: future trends, ethical implications, and business outcomes
- Chapter 9. Decoding the landscape of customer engagement: marketing intelligence backed with AI and neuro-linguistics hack
- Chapter 10. Business models updated for a digitalized and sustainable world
- Chapter 11. A study exploring the effect of subliminally priming known human faces vs. unknown human faces on product selections by consumers: unseen motivators
- Chapter 12. Enhancing academic credential verification through blockchain technology adoption in university academic management systems
- Chapter 13. Application of neuro-linguistic programming techniques in organizational leadership.