Andrew Smith

Consumer Behaviour and Analytics (eBook, ePUB)

Data Driven Decision Making

• Format: ePub

Produktbeschreibung

This volume provides a consumer behaviour textbook for the new marketing reality. In a world of Big Data, machine learning and AI, this text reviews the issues and concepts essential for navigating this new terrain. It demonstrates how we can use data driven insight and research in order to inform knowledge driven decision making.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 216
• Erscheinungstermin: 13. August 2019
• Englisch
• ISBN-13: 9780429953354
• Artikelnr.: 57466322

Autorenporträt

Andrew Smith BSc, MSc, PhD, is currently the Director of the N/LAB at Nottingham University Business School, UK where he is Professor of Consumer Behaviour. He is also an associate of The Horizon Institute (for digital economy research). Professor Smith has published numerous papers on consumer behaviour and worked on a number of funded research projects for Research Councils UK, ESRC, EPSRC, DFID, ERC, Bill and Melinda Gates Foundation, European Union, The Office of Fair Trading and Innovate UK among others. These projects have involved various multinationals and NGOs (including Walgreens Boots Alliance, World Bank Group, Tesco, IPSOS and Experian among others).

Inhaltsangabe

List of Figures. List of Tables. Preface. Acknowledgements. 1. An
Introduction to Consumer Analytics. 2. Purchase Insight and the Anatomy of
Transactions. 3. Web & Social Media Activity. 4. Extant Research and
Exogenous Cognition. 5. Elemental Features of Consumer Choice: Needs,
Economics, Deliberation and Impulse. 6. Perceptual and Communicative
Features of Consumer Choice. 7. Individual and Social Features of
Consumption. 8. Knowledge Driven Marketing & the Modular Adaptive Dynamic
Schematic. Index

---

List of figures

List of tables

Preface

Acknowledgements

Chapter 1 An introduction to consumer analytics

Chapter 2 Purchase insight and the anatomy of transactions

Chapter 3 Web and social activity

Chapter 4 Extant research, decision-making and exogenous cognition

Chapter 5 Elemental features of consumer choice: needs, economics, deliberation and impulse.

Chapter 6 Perceptual and communicative features of consumer choice

Chapter 7 Individual and social features of consumption

Chapter 8 Knowledge-driven marketing and the Modular Adaptive Dynamic Schematic

Index

Rezensionen

'Consumer marketing is increasingly analytics driven, with data driven insight the core underpinning of many businesses. Consumer Behaviour and Analytics is a concise, inventive, original and accessible text that develops new approaches, concepts and structure to fit the new reality of analytics driven marketing. Linking new possibilities and approaches with existing academic consumer research, and grounded in examples and exhibits, this book is a ground-breaking and informative volume.'- Leigh Sparks, Professor of Retail Studies and Deputy Principal, University of Stirling, Scotland

'The effects of Big Data, machine learning and AI on the terrain of marketing and consumer research have been seismic. Smith's book provides a timely and concise review of this new landscape by demystifying analytics-driven concepts and methods whilst cross-referencing with more traditional fields of consumer knowledge. The book inventively integrates old and new concepts into a framework that will appeal to marketing practitioners and students alike. An absolutely essential read for anyone interested in a well-balanced understanding of contemporary consumer behaviour and analytics.' - Professor Andreas Chatzidakis, Royal Holloway, University of London, UK