Enhancing and predicting digital consumer behavior with AI:
Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer beha...
Saved in:
| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey PA, USA
IGI Global
[2024]
|
| Series: | Advances in marketing, customer relationship management, and e-services (AMCRMES) book series
|
| Subjects: | |
| Online Access: | DE-91 DE-898 DE-1050 Volltext |
| Summary: | Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately.Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior. |
| Physical Description: | 1 Online-Ressource (xix, 445 Seiten) Illustrationen |
| ISBN: | 9798369344545 |
| DOI: | 10.4018/979-8-3693-4453-8 |
Staff View
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| id | DE-604.BV049735986 |
| illustrated | Illustrated |
| indexdate | 2024-12-17T19:01:36Z |
| institution | BVB |
| isbn | 9798369344545 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035078093 |
| oclc_num | 1443588721 |
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| physical | 1 Online-Ressource (xix, 445 Seiten) Illustrationen |
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| series2 | Advances in marketing, customer relationship management, and e-services (AMCRMES) book series |
| spelling | Enhancing and predicting digital consumer behavior with AI Thomas Heinrich Musiolik, Raul Villamarin Rodriguez, Hemachandran Kannan Enhancing and predicting digital consumer behavior with artificial intelligence Hershey PA, USA IGI Global [2024] © 2024 1 Online-Ressource (xix, 445 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Advances in marketing, customer relationship management, and e-services (AMCRMES) book series Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately.Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior. Artificial intelligence Consumer behavior Technological innovations Electronic commerce Technological innovations Musiolik, Thomas Heinrich 1980- (DE-588)140753060 edt Villamarin Rodriguez, Raul (DE-588)1283667681 edt Kannan, Hemachandran 1985- (DE-588)1269874306 edt Erscheint auch als Druck-Ausgabe 979-8-3693-4453-8 Erscheint auch als Druck-Ausgabe, Paperback 979-8-3693-5442-1 https://doi.org/10.4018/979-8-3693-4453-8 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Enhancing and predicting digital consumer behavior with AI Artificial intelligence Consumer behavior Technological innovations Electronic commerce Technological innovations |
| title | Enhancing and predicting digital consumer behavior with AI |
| title_alt | Enhancing and predicting digital consumer behavior with artificial intelligence |
| title_auth | Enhancing and predicting digital consumer behavior with AI |
| title_exact_search | Enhancing and predicting digital consumer behavior with AI |
| title_full | Enhancing and predicting digital consumer behavior with AI Thomas Heinrich Musiolik, Raul Villamarin Rodriguez, Hemachandran Kannan |
| title_fullStr | Enhancing and predicting digital consumer behavior with AI Thomas Heinrich Musiolik, Raul Villamarin Rodriguez, Hemachandran Kannan |
| title_full_unstemmed | Enhancing and predicting digital consumer behavior with AI Thomas Heinrich Musiolik, Raul Villamarin Rodriguez, Hemachandran Kannan |
| title_short | Enhancing and predicting digital consumer behavior with AI |
| title_sort | enhancing and predicting digital consumer behavior with ai |
| topic | Artificial intelligence Consumer behavior Technological innovations Electronic commerce Technological innovations |
| topic_facet | Artificial intelligence Consumer behavior Technological innovations Electronic commerce Technological innovations |
| url | https://doi.org/10.4018/979-8-3693-4453-8 |
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