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|a 1372130750
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|b .A78 2023
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|a 658.80028563
|2 23
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|a UAMI
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245 |
0 |
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|a Artificial intelligence in marketing /
|c edited by K. Sudhir and Olivier Toubia ; editor-in-chief, Naresh K. Malhotra.
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|a First edition.
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264 |
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|a Bingley, UK :
|b Emerald Publishing Limited,
|c 2023.
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300 |
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|a 1 online resource (345 p.).
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336 |
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|a text
|b txt
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|a online resource
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490 |
1 |
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|a Review of Marketing Research ;
|v volume 20
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|a Includes bibliographical references and index.
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|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
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|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
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|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
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|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
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|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
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|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).
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588 |
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|a Description based on online resource; title from digital title page (viewed on April 25, 2023).
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590 |
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|a Emerald Insight
|b Emerald All Book Titles
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650 |
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0 |
|a Artificial intelligence
|x Marketing applications.
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650 |
|
7 |
|a Sales & marketing.
|2 bicssc
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650 |
|
7 |
|a Business & Economics
|x Marketing
|x General.
|2 bisacsh
|
650 |
|
7 |
|a Artificial intelligence
|x Marketing applications.
|2 fast
|0 (OCoLC)fst02021895
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700 |
1 |
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|a Sudhir, K.,
|e editor.
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700 |
1 |
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|a Toubia, Olivier,
|e editor.
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700 |
1 |
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|a Malhotra, Naresh K.,
|e editor.
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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.
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856 |
4 |
0 |
|u https://emerald.uam.elogim.com/insight/publication/doi/10.1108/S1548-6435202320
|z Texto completo
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938 |
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|a ProQuest Ebook Central
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