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 tomorrow for delivery by Sat 27 Dec 2025.

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

15 in stock


    View other formats and editions of Artificial Intelligence in Marketing by Naresh K. Malhotra

    Publisher: Emerald Publishing Limited
    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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