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AI and data engineering solutions fo...
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Alla, Lhoussaine.
AI and data engineering solutions for effective marketing
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
AI and data engineering solutions for effective marketingLhoussaine Alla, Badr Bentalha, Aziz Hmioui, editors.
其他題名:
Artificial intelligence and data engineering solutions for effective marketing
其他作者:
Bentalha, Badr.
出版者:
Hershey, Pennsylvania :IGI Global,2024.
面頁冊數:
1 online resource (xiv, 489 p.)
標題:
Marketing.
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3172-9
ISBN:
9798369331736$q(ebook)
AI and data engineering solutions for effective marketing
AI and data engineering solutions for effective marketing
[electronic resource] /Artificial intelligence and data engineering solutions for effective marketingLhoussaine Alla, Badr Bentalha, Aziz Hmioui, editors. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource (xiv, 489 p.)
Includes bibliographical references and index.
Section 1. Bibliometric studies and literature reviews on AI and marketing. Chapter 1. Artificial intelligence in costumer acquisition: a bibliometric study ; Chapter 2. Marketing applications of emerging technologies: a systematic literature review ; Chapter 3. The application of AI in neuromarketing: a systematic literature review ; Chapter 4. Artificial intelligence applications in marketing: the state of the art and hotspots over 20 years ; Chapter 5. A systematicreview of augmented reality experiential marketing: conceptual framework and research agenda ; Chapter 6. Factors affecting citizen intention to use smart city services in Morocco: a systematic literature review and conceptual framework --Section 2. Integrating AI and digital into marketing strategies. Chapter 7. Towards agile marketing: transforming strategies for the digital era ; Chapter 8. The potential Benefits of integrating business intelligence and CRM ; Chapter 9. Unleashing the potential of artificial intelligence (AI) in customer engagement ; Chapter 10. Optimizing marketing campaigns with AI-driven insights on mobile user behavior ; Chapter 11. Applying artificial intelligence to enhance e-commerce marketing strategies: a case study of Jumia Mmarket in Morocco -- Section 3. Analysis of the impact of digital technology on consumer behaviour and business performance. Chapter 12. The influence of digital marketing on business performance: a case study of selected Moroccan companies ; Chapter 13. Big data and consumer behavior: a quantitative study among Moroccan internet users ; Chapter 14. Data-driven strategies for enhancing customer retention in Moroccan telecoms ; Chapter 15. Digitalization of auditing practices and customer experience optimization: a delphi analysis of the Moroccan context ; Chapter 16. Client satisfaction in the Moroccan banking sector: the role of digitalization -- Section 4. Case studies and technological innovations in marketing. Chapter 17. Phygital marketing and the pain of paying: an amazon go netnographic case study ; Chapter 18. Exploratory analysis of the impact of phygital on the customer experience ; Chapter19. Design and implementation of a hotel recommendation system using deep learning ; Chapter 20. Innovative marketing in banking: the role of AI and data engineering.
"In the world of contemporary marketing, a challenge exists - the relationship between data engineering, artificial intelligence, and the essential elements of effective marketing. Businesses find themselves at a crossroads, grappling with the imperative to navigate this complex landscape. This challenge serves as the backdrop for the exploration in AI and Data Engineering Solutions for Effective Marketing, a comprehensive reference tailored for academic scholars. Seamlessly integrating theoretical models with real-world applications, the book delves into critical facets of strategic and operational marketing. From the adoption of data science techniques to grappling with big data's vast potential, it offers a guide for academics seeking profound insights into the future of marketing strategies and their efficient execution.Designed for researchers, practitioners, and students with an interest in the intersection of artificial intelligence, data engineering, and marketing, this book serves as a guide for implementing new marketing management solutions and optimizing their operational efficiency. While the primary audience is researchers and practitioners in the field, the book is also tailored to benefit students seeking a deep understanding of the latest developments in marketing."--
Mode of access: World Wide Web.
ISBN: 9798369331736$q(ebook)Subjects--Topical Terms:
182957
Marketing.
Subjects--Index Terms:
AI-Generated Content.Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: HF5415.2 / .A33 2024eb
Dewey Class. No.: 658.8/3
AI and data engineering solutions for effective marketing
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"In the world of contemporary marketing, a challenge exists - the relationship between data engineering, artificial intelligence, and the essential elements of effective marketing. Businesses find themselves at a crossroads, grappling with the imperative to navigate this complex landscape. This challenge serves as the backdrop for the exploration in AI and Data Engineering Solutions for Effective Marketing, a comprehensive reference tailored for academic scholars. Seamlessly integrating theoretical models with real-world applications, the book delves into critical facets of strategic and operational marketing. From the adoption of data science techniques to grappling with big data's vast potential, it offers a guide for academics seeking profound insights into the future of marketing strategies and their efficient execution.Designed for researchers, practitioners, and students with an interest in the intersection of artificial intelligence, data engineering, and marketing, this book serves as a guide for implementing new marketing management solutions and optimizing their operational efficiency. While the primary audience is researchers and practitioners in the field, the book is also tailored to benefit students seeking a deep understanding of the latest developments in marketing."--
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Digital strategy and Smart Marketing.
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Products Policy.
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Socially Responsible Consumption.
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