Enhancing and predicting digital consumer behavior with AI

Thomas Heinrich Musiolik, Raul Villamarin Rodriguez, Hemachandran Kannan

"This book provides a robust theoretical framework grounded in the latest empirical research to offer practical insights for industry professionals and researchers alike. Through a multidisciplinary approach, encompassing concepts from behavioral analysis to data structuring, it addresses the nuanced challenges and opportunities in tracking and predicting consumer behavior"--

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Year of publication:	[2024]
Other Persons:	Musiolik, Thomas Heinrich (ed.) ; Villamarin Rodriguez, Raul (ed.) ; Kannan, Hemachandran (ed.)
Publisher:	Hershey, PA : IGI Global
Subject:	Konsumentenverhalten \| Consumer behaviour \| Künstliche Intelligenz \| Artificial intelligence \| Online-Handel \| Online retailing \| Online-Marketing \| Internet marketing \| Electronic Commerce \| E-commerce
Published items:	19 hits in ECONIS - Online Catalogue of the ZBW

Extent:	xix, 445 Seiten Illustrationen
Series:	Advances in marketing, customer relationship management, and e-services (AMCRMES) book series Premier reference source
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Aufsatzsammlung
Language:	English
Notes:	Includes bibliographical references and index
ISBN:	979-8-3693-4453-8 ; 979-8-3693-5442-1 ; 979-8-3693-4454-5
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10015061446