Description

Book Synopsis

Review of Marketing Research pushes the boundaries of marketing—broadening the marketing concept to make the world a better place.

Here, leading scholars explore how marketing is currently shaping, and being shaped by, the evolution of Artificial Intelligence (AI). Topics covered include the effects of AI on: economics; personalisation; pricing; content generation; the identification, structuring, and prioritization of customer needs; customer feedback; Natural Language Processing; image analytics; deep learning; and the anthropomorphism of AI, such as in virtual assistants and chatbots.

Each chapter provides thought provoking discussions which will be relevant to researchers, professionals, and students.



Table of Contents

Introduction. 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

Artificial Intelligence in Marketing

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    £95.00

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    Order before 4pm today for delivery by Mon 3 Aug 2026.

    A Hardback by Naresh K. Malhotra, K. Sudhir, Olivier Toubia

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      Publisher: Emerald Publishing Limited
      Publication Date: Publication Date: 13/03/2023
      ISBN13: 9781802628760, 978-1802628760
      ISBN10: 1802628762

      Description

      Book Synopsis

      Review of Marketing Research pushes the boundaries of marketing—broadening the marketing concept to make the world a better place.

      Here, leading scholars explore how marketing is currently shaping, and being shaped by, the evolution of Artificial Intelligence (AI). Topics covered include the effects of AI on: economics; personalisation; pricing; content generation; the identification, structuring, and prioritization of customer needs; customer feedback; Natural Language Processing; image analytics; deep learning; and the anthropomorphism of AI, such as in virtual assistants and chatbots.

      Each chapter provides thought provoking discussions which will be relevant to researchers, professionals, and students.



      Table of Contents

      Introduction. 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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