Consumer Decision-Making, Analytics and AI

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 synthesises 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 utilise 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.

1146902588
Consumer Decision-Making, Analytics and AI

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 synthesises 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 utilise 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.

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Consumer Decision-Making, Analytics and AI

Consumer Decision-Making, Analytics and AI

Consumer Decision-Making, Analytics and AI
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Consumer Decision-Making, Analytics and AI

Consumer Decision-Making, Analytics and AI

Overview

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 synthesises 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 utilise 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.

Product Details

ISBN-13: 9781040383827
Publisher: Taylor & Francis
Publication date: 06/27/2025
Series: Routledge Studies in Marketing
Sold by: Barnes & Noble
Format: eBook
Pages: 172

About the Author

About The Author

Andrew Smith (Chair of Consumer Behaviour and Analytics) is Founding Director of the transdisciplinary N/LAB at Nottingham University Business School.

Evgeniya Lukinova is Assistant Professor in Behavioural Analytics at University of Nottingham.

John Harvey is Associate Professor based in N/LAB at University of Nottingham.

Gavin Smith is Associate Professor at The University of Nottingham, where he is the data science lead within the N/LAB.

Roberto Mansilla Lobos is Assistant Professor of Social Data Science at the N/LAB at University of Nottingham.

James Goulding is chair of Data Science at the University of Nottingham and Director of N/LAB, a centre of excellence in Business AI and Analytics.

Georgiana Nica-Avram is Assistant Professor in Business Analytics.

Table of Contents

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

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