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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 marketing/ Lhoussaine 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.)
內容註:	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.
標題:	Marketing. -
電子資源:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3172-9
ISBN:	9798369331736

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: 9798369331736Subjects--Topical Terms:

536353
Marketing.
Subjects--Index Terms:

AI-Generated Content.Index Terms--Genre/Form:

542853
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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300 $a 1 online resource (xiv, 489 p.)
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 3 $a "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."-- $c Provided by publisher.
538 $a Mode of access: World Wide Web.
650 0 $a Marketing. $3 536353
650 0 $a Marketing research $x Technological innovations. $3 3452382
650 0 $a Data mining. $3 562972
650 0 $a Artificial intelligence. $3 516317
653 $a AI-Generated Content.
653 $a Business Model Metrics.
653 $a Customer Big Data Management Systems.
653 $a Digital strategy and Smart Marketing.
653 $a Ethics of research in Smart Marketing.
653 $a Marketing diagnostics.
653 $a Marketing Intelligence Integration.
653 $a Neuromarketing.
653 $a Price Policy.
653 $a Products Policy.
653 $a Socially Responsible Consumption.
653 $a Sustainable Development Data Analysis.
653 $a Territorial Branding, Destination Branding.
653 $a Territory Design.
653 $a Transformation of the Marketing Profession.
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Bentalha, Badr. $3 3793187
700 1 $a Alla, Lhoussaine. $3 3793188
710 2 $a IGI Global. $3 1361470
776 0 8 $i Print version: $z 9798369331729
856 4 0 $u https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3172-9