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Artificial intelligence in marketing /

Review of Marketing Researchpushes 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).

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Sudhir, K. (Editor ), Toubia, Olivier (Editor ), Malhotra, Naresh K. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bingley, UK : Emerald Publishing Limited, 2023.
Edición:First edition.
Colección:Review of marketing research ; v. 20.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Artificial intelligence in marketing /  |c edited by K. Sudhir and Olivier Toubia ; editor-in-chief, Naresh K. Malhotra. 
250 |a First edition. 
264 1 |a Bingley, UK :  |b Emerald Publishing Limited,  |c 2023. 
300 |a 1 online resource (345 p.). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Review of Marketing Research ;  |v volume 20 
504 |a Includes bibliographical references and index. 
505 8 |a Cover -- ARTIFICIAL INTELLIGENCE IN MARKETING -- REVIEW OF MARKETING RESEARCH -- EDITORIAL ADVISORY BOARD -- ARTIFICIAL INTELLIGENCE IN MARKETING -- Copyright -- CONTENTS -- ABOUT THE EDITOR-IN-CHIEF -- ABOUT THE VOLUME EDITORS -- ABOUT THE CONTRIBUTORS -- INTRODUCTION -- The State of AI Research in Marketing: Active, Fertile, and Ready for Explosive Growth -- 1 Introduction -- 2 The Marketing-AI Ecosystem -- 2.1 Organizing Existing Research on AI in Marketing -- 3 The Chapters -- 3.1 Marketing Purpose of AI -- 3.1.1 Aiding Marketing Decisions -- 3.1.2 Market Research -- 3.2 Data 
505 8 |a 3.3 Algorithms and Methods -- 3.4 AI's Impact on Consumers and Society and Vice Versa -- 4 Opportunity Identification for AI Research -- 5 Conclusion -- References -- The Economics of Artificial Intelligence: A Marketing Perspective -- Abstract -- 1 Introduction -- 2 Economic Framework of AI -- 3 Level of Impact of AI -- 3.1 Prediction -- 3.2 Decisions -- 3.3 Tools -- 3.4 Strategy -- 3.5 Society -- 4 Agenda for Future Work -- 5 Conclusion -- References -- AI and Personalization -- Abstract -- 1 Introduction -- 2 Problem Definition -- 3 Methodological Approaches to Personalization 
505 8 |a 3.1 Scalability -- 3.2 Generalizability and Counterfactual Validity -- 3.3 Online and Interactive Methods -- 3.4 Dynamic Methods -- 4 Evaluation -- 4.1 Direct Method -- 4.2 Inverse Propensity Score Estimator -- 4.3 Doubly Robust Method -- 4.4 Extensions to Special Settings -- 4.5 Alternative Approaches -- 5 Returns to Personalization -- 6 Personalization and Welfare -- 6.1 Search Cost -- 6.2 Privacy -- 6.3 Fairness -- 6.4 Polarization -- 7 Conclusion and Directions for Future Research -- 7.1 Signal-To-Noise Ratio -- 7.2 Multiple Objectives and Long-Term Outcomes -- 7.3 Time Drifts 
505 8 |a 7.4 Strategic Behavior and Equilibrium Analysis -- Notes -- References -- Artificial Intelligence and Pricing -- Abstract -- 1 Introduction -- 2 Firms Implementing AI for Pricing -- 2.1 Dynamic Pricing: Real-Time Swings in Demand and Supply -- 2.2 Personalized Pricing: Price Discrimination -- 2.3 Price Experimentation: Demand Learning -- 3 Consequences of AI for Pricing -- 3.1 Dynamic Pricing -- 3.2 Personalized Pricing -- 3.3 Algorithmic Collusion -- 4 Summary -- Notes -- References -- Leveraging AI for Content Generation: A Customer Equity Perspective -- Abstract 
505 8 |a 1 The Potential for AI Throughout the Customer Journey -- 2 The Potential for Content Generation -- 2.1 Generating Textual Content With Language Models -- 2.2 Generating Synthetic Images -- 3 Supporting Customer Equity Management With Content Generation -- 3.1 Customer Acquisition -- 3.2 Relationship Development -- 3.3 Customer Retention -- 4 Considerations for the Use of AI-Supported Content Generation -- 4.1 Consumer Reactions -- 4.2 Potential Abuse and the Need for Regulation -- 4.3 Workforce Implications -- 5 Conclusion -- Notes -- References -- Artificial Intelligence and User-Generated Data Are Transforming How Firms Come to Understand Customer Needs 
520 |a Review of Marketing Researchpushes 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). 
588 |a Description based on online resource; title from digital title page (viewed on April 25, 2023). 
590 |a Emerald Insight  |b Emerald All Book Titles 
650 0 |a Artificial intelligence  |x Marketing applications. 
650 7 |a Sales & marketing.  |2 bicssc 
650 7 |a Business & Economics  |x Marketing  |x General.  |2 bisacsh 
650 7 |a Artificial intelligence  |x Marketing applications.  |2 fast  |0 (OCoLC)fst02021895 
700 1 |a Sudhir, K.,  |e editor. 
700 1 |a Toubia, Olivier,  |e editor. 
700 1 |a Malhotra, Naresh K.,  |e editor. 
776 0 8 |i Print version:  |a Malhotra, Naresh K.  |t Artificial Intelligence in Marketing  |d Bingley : Emerald Publishing Limited,c2023  |z 9781802628760 
830 0 |a Review of marketing research ;  |v v. 20. 
856 4 0 |u https://emerald.uam.elogim.com/insight/publication/doi/10.1108/S1548-6435202320  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL7209517 
938 |a YBP Library Services  |b YANK  |n 19577396 
938 |a EBSCOhost  |b EBSC  |n 3395024 
994 |a 92  |b IZTAP