Summary
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
About the authors
Naresh K. Malhotra is Senior Fellow, Georgia Tech CIBER, and Regents’ Professor Emeritus, Scheller College of Business, Georgia Institute of Technology (Georgia Tech), USA.
K. Sudhir is James L. Frank ’32 Professor of Marketing at the Yale School of Management. His recent research uses AI methods such as NLP, video and music analytics to address questions on advertising, salesforce hiring, online reviews, bias and privacy.
Olivier Toubia is the Glaubinger Professor of Business at Columbia Business School. His research combines methods from social sciences and data science, in order to study human processes such as motivation, choice, and creativity.