Artificial intelligence in marketing:
Review of Marketing Research pushes 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). Topics covered include the effect...
Gespeichert in:
Weitere beteiligte Personen: | , , |
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Format: | E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Bingley, U.K.
Emerald Publishing Limited
2023
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Schriftenreihe: | Review of marketing research
v. 20 |
Links: | https://doi.org/10.1108/S1548-6435202320 |
Zusammenfassung: | Review of Marketing Research pushes 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). Topics covered include the effects of AI on: economics; personalisation; pricing; content generation; the identification, structuring, and prioritization of customer needs; customer feedback; Natural Language Processing; image analytics; deep learning; and the anthropomorphism of AI, such as in virtual assistants and chatbots. Each chapter provides thought provoking discussions which will be relevant to researchers, professionals, and students. |
Umfang: | 1 Online-Ressource (344 Seiten) |
ISBN: | 9781802628777 |
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700 | 1 | |a Sudhir, K. | |
700 | 1 | |a Toubia, Olivier | |
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spelling | Artificial intelligence in marketing edited by Naresh K. Malhotra (Georgia Institute of Technology, USA), K. Sudhir (Yale University, USA), and Olivier Toubia (Columbia University, USA) Bingley, U.K. Emerald Publishing Limited 2023 ©2023 1 Online-Ressource (344 Seiten) txt c cr Review of marketing research v. 20 Review of Marketing Research pushes 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). Topics covered include the effects of AI on: economics; personalisation; pricing; content generation; the identification, structuring, and prioritization of customer needs; customer feedback; Natural Language Processing; image analytics; deep learning; and the anthropomorphism of AI, such as in virtual assistants and chatbots. Each chapter provides thought provoking discussions which will be relevant to researchers, professionals, and students. Malhotra, Naresh K. Sudhir, K. Toubia, Olivier Erscheint auch als Druck-Ausgabe 9781802628753 Erscheint auch als Druck-Ausgabe 9781802628760 |
spellingShingle | Artificial intelligence in marketing |
title | Artificial intelligence in marketing |
title_auth | Artificial intelligence in marketing |
title_exact_search | Artificial intelligence in marketing |
title_full | Artificial intelligence in marketing edited by Naresh K. Malhotra (Georgia Institute of Technology, USA), K. Sudhir (Yale University, USA), and Olivier Toubia (Columbia University, USA) |
title_fullStr | Artificial intelligence in marketing edited by Naresh K. Malhotra (Georgia Institute of Technology, USA), K. Sudhir (Yale University, USA), and Olivier Toubia (Columbia University, USA) |
title_full_unstemmed | Artificial intelligence in marketing edited by Naresh K. Malhotra (Georgia Institute of Technology, USA), K. Sudhir (Yale University, USA), and Olivier Toubia (Columbia University, USA) |
title_short | Artificial intelligence in marketing |
title_sort | artificial intelligence in marketing |
work_keys_str_mv | AT malhotranareshk artificialintelligenceinmarketing AT sudhirk artificialintelligenceinmarketing AT toubiaolivier artificialintelligenceinmarketing |