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AI impacts in digital consumer behavior

IGI Global.

AI impacts in digital consumer behavior

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	AI impacts in digital consumer behaviorThomas Heinrich Musiolik, Raul Villamarin Rodriguez, Hemachandran Kannan, editors.
其他題名:	Artificial intelligence impacts in digital consumer behavior
其他作者:	Kannan, Hemachandran,
出版者:	Hershey, Pennsylvania :IGI Global,2024.
面頁冊數:	1 online resource (372 p.)
標題:	Artificial intelligence.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1918-5
ISBN:	9798369319192$q(ebook)

AI impacts in digital consumer behavior
AI impacts in digital consumer behavior[electronic resource] /Artificial intelligence impacts in digital consumer behaviorThomas Heinrich Musiolik, Raul Villamarin Rodriguez, Hemachandran Kannan, editors. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource (372 p.)

Includes bibliographical references and index.

Chapter 1. Enhancing consumer behavior and experience through AI-driven insights optimization -- Chapter 2. Explainable artificial intelligence in consumer-centric business practices and approaches -- Chapter 3. Emotional intelligence in understanding and influencing consumer behavior -- Chapter 4. AI-personalization paradox: navigating consumer behavior in a filter bubble era -- Chapter 5. Identity influence in consumer behavior on the internet -- Chapter 6. Reinventing influence of artificial intelligence (AI) on digital consumer lensing transforming consumer recommendation model: exploring stimulus artificial intelligence on consumer shopping decisions -- Chapter 7. A review: sentiment analysis in conversational data -- Chapter 8. Segmenting social media users based on ongoing brand activities to track consumer behavior change -- Chapter 9. Small steps, big impact: conceptualising the adoption of social media marketing in Bangladesh's SMEs -- Chapter 10. Harnessing 6G for consumer-centric business strategies across electronic industries -- Chapter 11. Transforming pharma supply chains using data analytics unleashed for enhanced visibility and competitiveness -- Chapter 12. Consumer preferences for plant-based herbal tea: post-pandemic study on Aeca tea using VALS framework through psychographic segmentation.

"In the ever-evolving landscape of digital innovation, businesses grapple with the challenge of deciphering dynamic consumer behavior. AI Impacts in Digital Consumer Behavior is a pioneering exploration tailored for academic scholars seeking insights into the profound influence of artificial intelligence on consumer dynamics. As businesses strive to harness the potential of data, this book serves as a beacon, offering a comprehensive understanding of the intricacies involved in tracking, analyzing, and predicting shifts in consumer preferences.This groundbreaking work not only identifies the complexities posed by the rapidly changing digital landscape but also presents a solution-oriented approach. It unveils a theoretical framework and the latest empirical research, providing scholars with a toolkit of concepts, theories, and analytical techniques. With a multidisciplinary focus on behavioral analysis, the book equips academic minds withthe knowledge to navigate the challenges of the digital age. Furthermore, it addresses the ethical dimensions and ethic considerations associated with the accelerating pace of consumer behavior analysis, shedding light on the responsible use of AI technologies."--

ISBN: 9798369319192$q(ebook)Subjects--Topical Terms:

194058
Artificial intelligence.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: Q335 / .A35 2024e

Dewey Class. No.: 006.3

AI impacts in digital consumer behavior
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505 0 $a Chapter 1. Enhancing consumer behavior and experience through AI-driven insights optimization -- Chapter 2. Explainable artificial intelligence in consumer-centric business practices and approaches -- Chapter 3. Emotional intelligence in understanding and influencing consumer behavior -- Chapter 4. AI-personalization paradox: navigating consumer behavior in a filter bubble era -- Chapter 5. Identity influence in consumer behavior on the internet -- Chapter 6. Reinventing influence of artificial intelligence (AI) on digital consumer lensing transforming consumer recommendation model: exploring stimulus artificial intelligence on consumer shopping decisions -- Chapter 7. A review: sentiment analysis in conversational data -- Chapter 8. Segmenting social media users based on ongoing brand activities to track consumer behavior change -- Chapter 9. Small steps, big impact: conceptualising the adoption of social media marketing in Bangladesh's SMEs -- Chapter 10. Harnessing 6G for consumer-centric business strategies across electronic industries -- Chapter 11. Transforming pharma supply chains using data analytics unleashed for enhanced visibility and competitiveness -- Chapter 12. Consumer preferences for plant-based herbal tea: post-pandemic study on Aeca tea using VALS framework through psychographic segmentation.
520 3 $a "In the ever-evolving landscape of digital innovation, businesses grapple with the challenge of deciphering dynamic consumer behavior. AI Impacts in Digital Consumer Behavior is a pioneering exploration tailored for academic scholars seeking insights into the profound influence of artificial intelligence on consumer dynamics. As businesses strive to harness the potential of data, this book serves as a beacon, offering a comprehensive understanding of the intricacies involved in tracking, analyzing, and predicting shifts in consumer preferences.This groundbreaking work not only identifies the complexities posed by the rapidly changing digital landscape but also presents a solution-oriented approach. It unveils a theoretical framework and the latest empirical research, providing scholars with a toolkit of concepts, theories, and analytical techniques. With a multidisciplinary focus on behavioral analysis, the book equips academic minds withthe knowledge to navigate the challenges of the digital age. Furthermore, it addresses the ethical dimensions and ethic considerations associated with the accelerating pace of consumer behavior analysis, shedding light on the responsible use of AI technologies."-- $c Provided by publisher.
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