http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Enhancing and predicting digital consumer behavior with AI
Enhancing and predicting digital consumer behavior with artificial intelligence
Chapter 1. A critical examination of ethical implications in AI-driven consumer behavior media discourse and environmental sustainability -- Chapter 2. A systematic analysis of artificial intelligence's usage in online advertising: how artificial intelligence affects digital marketing initiatives -- Chapter 3. A systematic literature review on the human-AI partnership roles in higher education -- Chapter 4. Artificial intelligence in the consumer behavior process in business -- Chapter 5. Artificial intelligence-enabled education marketing in an emerging bioeconomy -- Chapter 6. Assessing social media platform effectiveness among varied consumer segments using fuzzy analysis -- Chapter 7. Assessment of male millennial digital purchase intent with regard to online fashion -- Chapter 8. Social psychology and artificial intelligence improvement of the relationship customer-digital commercial environment: challenges of choosing the best approaches -- Chapter 9. Effect of digital financial literacy on digital consumer protection: mediating role of financial self-efficacy and financial confidence -- Chapter 10. Enhancing the digital consumer experience: the role of artificial intelligence -- Chapter 11. Financial illusion: navigating the digital banking landscape through emerging trends for businesses -- Chapter 12. Harnessing AI for ethical digital consumer behavior analysis -- Chapter 13. Predictive analysis of digital consumer behaviour: key to understanding success and failure of a brand -- Chapter 14. Predictors of online buying behaviour -- Chapter 15. Science of emotional intelligence -- Chapter 16. The behavioural impact of artificial intelligence: theory of consumption value perspective -- Chapter 17. The role of emotional intelligence in shaping online purchase decision-making -- Chapter 18. Uncovering insights by comparing machine learning algorithms for customer churn analysis -- Chapter 19. Unlocking the AI-powered customer experience: personalized service, enhanced engagement, and data-driven strategies for e-commerce applications.
Thomas Heinrich Musiolik, Raul Villamarin Rodriguez, Hemachandran Kannan, editor.
Includes bibliographical references and index.
Digital Customer Relationship Management.