Consumer Decision-Making, Analytics and AI

Andrew Smith, Evgeniya Lukinova, John Harvey, Gavin Smith, Roberto Mansilla, James Goulding, Georgiana Nica-Avram

• Publisher: Taylor & Francis
• Year: 2025
• eBook ISBN: 9781040383827
• Edition: 0
• Topic: Business
• Subtopic: Business General
• Index: Business

Many decisions in our lives are decisions we make as consumers and buyers. Analytics- driven marketing underpinned by machine learning and AI has had a seismic impact on the execution of these decisions and on behavioural outcomes. This book dissects processes and issues at the heart of our emerging reality as human actors embedded in a system of exchange driven by fast-evolving technologies. It is a seminal work on a complex but urgent issue in social and behavioural science.

Based on extant and emerging research, the book presents new evidence and innovative theoretical structures and concepts to explore how data analytics and AI can influence consumer thinking and behaviour. It synthesizes consumer research with the relevant literature on computational 'thinking, ' human– computer interaction, AI, decision delegation and consumer analytics, linking them in a coherent fashion. The authors utilize original exhibits and real- world data in an accessible format to both engage and challenge the reader.

This cutting- edge book is a must- read for scholars and upper- level students researching and studying marketing, consumer behaviour, AI, decision-making and behavioural science.

Table of contents

• Cover
• Half-Title Page
• Series Page
• Title Page
• Copyright Page
• Table of Contents
• List of Figures
• List of Tables
• Preface
• Acknowledgements
• 1 Analytics and AI as exogenous cognition: A theory of cognitive states
• 2 The structure of exogenous cognition: How analytics and AI ‘thinks’ and ‘knows’
• 3 Consumer decisions in the era of symbiotic cognition and surrogate cognition
• 4 Exogenous cognition, the nascent symbiotic consumer and zenith marketing
• Index