Artificial intelligence in marketing

This special issue focuses on the current state of the art of the literature on Artificial Intelligence (AI) that is relevant to marketing, and thus provides a roadmap and agenda for future research in the field. Together the chapters in this volume lead to new insights, approaches, and directions f...

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Bibliographic Details
Other Authors: Sudhir, K. (Editor)
Toubia, Olivier (Editor)
Corporate Author: Emerald Insight (online služba) (Distributor) 
Format: eBook
Language:English
Published: Bingley, U.K. : Emerald Publishing Limited, 2023
Series:Review of marketing research (Emerald Publishing)
Genre/form:sborníky
elektronické knihy
ISBN:978-1-80262-877-7
978-1-80262-875-3
978-1-80262-876-0
Subjects:
Online Access:Plný text
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505 0 |a The state of AI research in marketing: Active, fertile, and ready for explosive growth / K. Sudhir and Olivier Toubia -- Chapter 1. The economics of artificial intelligence: A marketing perspective / MengQi (Annie) Ding and Avi Goldfarb -- Chapter 2. AI and personalization / Omid Rafieian and Hema Yoganarasimhan -- Chapter 3. Artificial intelligence and pricing / Diego Aparicio and Kanishka Misra -- Chapter 4. Leveraging AI for content generation: A customer equity perspective / David Schweidel, Martin Reisenbichler, Thomas Reutterer, and Kunpeng Zhang -- Chapter 5. Artificial intelligence and user-generated data are transforming how firms come to understand customer needs / John R. Hauser, Zelin Li, and Chengfeng Mao -- Chapter 6. AI applications to customer feedback research: A review / Peter S. Lee, Ishita Chakraborty, and Shrabastee Banerjee -- Chapter 7. Natural language processing in marketing / Jochen Hartmann and Oded Netzer -- Chapter 8. Marketing through the machine's eyes: Image analytics and interpretability / Shunyuan Zhang, Flora Feng, and Kannan Srinivasan -- Chapter 9. Deep learning in marketing: A review and research agenda / Xiao Liu -- Chapter 10. Anthropomorphism in artificial intelligence: A review of empirical work across domains and insights for future research / Ertugrul Uysal, Sascha Alavi and Valéry Bezençon 
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