Artificial Intelligence in MarketingK. Sudhir, Olivier Toubia Emerald Group Publishing, 13 бер. 2023 р. - 344 стор. 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. |
Зміст
Active Fertile and Ready for Explosive Growth | 1 |
A Marketing Perspective | 13 |
AI and Personalization | 77 |
Artificial Intelligence and Pricing | 103 |
A Customer Equity Perspective | 125 |
Artificial Intelligence and UserGenerated Data Are Transforming How Firms Come to Understand Customer Needs | 147 |
A Review | 169 |
Natural Language Processing in Marketing | 191 |
Image Analytics and Interpretability | 217 |
A Review and Research Agenda | 239 |
A Review of Empirical Work Across Domains and Insights for Future Research | 273 |
| 309 | |
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Загальні терміни та фрази
Action advertising algorithms analysis anthropomorphism applications approach Artificial Intelligence arXiv preprint autoencoders automated behavior brand causal Chakraborty chatbot computer vision customer needs dataset Decision deep learning models develop dynamic Dzyabura effects embeddings estimate evaluation example extraction firms framework future research Hartmann Hauser heterogeneity human identify images impact Input interactions Journal of Consumer Journal of Marketing Judgment language models latent Dirichlet allocation literature machine learning Management Science Marketing Research Marketing Science methods Misra MKSC natural language natural language processing Netzer neural networks online reviews optimal Outcome papers parameters perception personalized policy platforms Prediction AI Model purchase Question relationship Schweidel social media Social Robotics Srinivasan structure Sudhir supervised learning targeting tasks text mining textual Timoshenko topic modeling Toubia Training unstructured data user-generated content users variables vector visual Wang words Yoganarasimhan Zhang