Consumer Decision-Making, Analytics and AI

1. Auflage 2025
ISBN: 978-1-032-83044-5
Verlag: Routledge

Buch, Englisch, 160 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 411 g

Reihe: Routledge Studies in Marketing

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.

Zielgruppe

Postgraduate

Autoren/Hrsg.

Smith, Andrew

Lukinova, Evgeniya

Harvey, John

Smith, Gavin

Mansilla, Roberto

Goulding, James

Nica-Avram, Georgiana

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Marktforschung
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Marketing
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Verhaltensökonomik

Inhaltsverzeichnis

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

Über Autor(innen)

Andrew Smith, Professor of Consumer Behaviour and Analytics, is the Founding Director of the N/ LAB at Nottingham University Business School.

Evgeniya Lukinova is Assistant Professor in Behavioural Analytics at the N/LAB, University of Nottingham.

John Harvey is Associate Professor based in the N/LAB at the 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 is Assistant Professor of Social Data Science at the N/ LAB at the University of Nottingham.

James Goulding is a professor of data science and the current Director of the N/ LAB at the University of Nottingham.

Georgiana Nica-Avram is Assistant Professor in Business Analytics in the N/LAB.