Artificial Intelligence for Marketing Management
Herausgeber: Thaichon, Park; Quach, Sara
Artificial Intelligence for Marketing Management
Herausgeber: Thaichon, Park; Quach, Sara
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Artificial intelligence (AI) has driven businesses to adopt new business practices rapidly, enhance product development and services, has helped to power AI-based market intelligence and customer insights, and improve customer relationship management. This timely book addresses the use of AI in marketing.
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Artificial intelligence (AI) has driven businesses to adopt new business practices rapidly, enhance product development and services, has helped to power AI-based market intelligence and customer insights, and improve customer relationship management. This timely book addresses the use of AI in marketing.
Produktdetails
- Produktdetails
- Routledge Studies in Marketing
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 206
- Erscheinungstermin: 10. November 2022
- Englisch
- Abmessung: 234mm x 156mm x 14mm
- Gewicht: 446g
- ISBN-13: 9781032248486
- ISBN-10: 1032248483
- Artikelnr.: 64653455
- Routledge Studies in Marketing
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 206
- Erscheinungstermin: 10. November 2022
- Englisch
- Abmessung: 234mm x 156mm x 14mm
- Gewicht: 446g
- ISBN-13: 9781032248486
- ISBN-10: 1032248483
- Artikelnr.: 64653455
Park Thaichon is Cluster Leader of the Relationship Marketing for Impact research cluster, Griffith Business School. His research articles can be viewed in the leading outlets such as the Journal of the Academy of Marketing Science, California Management Review, Industrial Marketing Management, European Journal of Marketing, and Journal of Business Research . Park is an Associate Editor of the Australasian Marketing Journal and Journal of Strategic Marketing. He is a member of the Griffith Institute for Tourism, Sales and Marketing Strategy Institute, and Griffith Asia Institute. Park has published over 70 A-ranked journal articles since 2015 (ABDC). Sara Quach has been recognized as the Rising Star in the Marketing Discipline 2020 by The Australian. Sara has published over 40 A-ranked journal articles since 2015 (ABDC). Her research has been published in leading marketing journals including but not limited to the Journal of the Academy of Marketing Science, Industrial Marketing Management, European Journal of Marketing, Journal of Business Research, Journal of Retailing and Consumer Services, Journal of Business and Industrial Marketing, Journal of Strategic Marketing, and Marketing Intelligence and Planning.
PART I Overview of AI 1. Introduction to artificial intelligence (AI):
Definition and scope of AI 2. The growth of marketing research in
artificial intelligence (AI): Topic popularity 3. Types of artificial
intelligence (AI) in marketing management 4. A framework of artificial
intelligence (AI) applications in marketing PART II AI and its implications
in the new age of marketing management 5. New developments in artificial
intelligence (AI)-powered products in marketing 6. Artificial intelligence
(AI)-driven services: Communication support, assistance for
decision-making, and enhanced customer experience service 7. Artificial
intelligence (AI)-integrated operation; insights into supply chain
management 8. Artificial intelligence (AI)-based market intelligence and
customer insights 9. Artificial intelligence (AI)-empowered customer
relationship management PART III Challenges and opportunities of AI 10.
Data privacy and artificial intelligence (AI): How AI collects data and its
impact on data privacy 11. Solutions to artificial intelligence (AI) and
privacy: How AI uses data and its accompanying privacy issues
Definition and scope of AI 2. The growth of marketing research in
artificial intelligence (AI): Topic popularity 3. Types of artificial
intelligence (AI) in marketing management 4. A framework of artificial
intelligence (AI) applications in marketing PART II AI and its implications
in the new age of marketing management 5. New developments in artificial
intelligence (AI)-powered products in marketing 6. Artificial intelligence
(AI)-driven services: Communication support, assistance for
decision-making, and enhanced customer experience service 7. Artificial
intelligence (AI)-integrated operation; insights into supply chain
management 8. Artificial intelligence (AI)-based market intelligence and
customer insights 9. Artificial intelligence (AI)-empowered customer
relationship management PART III Challenges and opportunities of AI 10.
Data privacy and artificial intelligence (AI): How AI collects data and its
impact on data privacy 11. Solutions to artificial intelligence (AI) and
privacy: How AI uses data and its accompanying privacy issues
PART I Overview of AI 1. Introduction to artificial intelligence (AI):
Definition and scope of AI 2. The growth of marketing research in
artificial intelligence (AI): Topic popularity 3. Types of artificial
intelligence (AI) in marketing management 4. A framework of artificial
intelligence (AI) applications in marketing PART II AI and its implications
in the new age of marketing management 5. New developments in artificial
intelligence (AI)-powered products in marketing 6. Artificial intelligence
(AI)-driven services: Communication support, assistance for
decision-making, and enhanced customer experience service 7. Artificial
intelligence (AI)-integrated operation; insights into supply chain
management 8. Artificial intelligence (AI)-based market intelligence and
customer insights 9. Artificial intelligence (AI)-empowered customer
relationship management PART III Challenges and opportunities of AI 10.
Data privacy and artificial intelligence (AI): How AI collects data and its
impact on data privacy 11. Solutions to artificial intelligence (AI) and
privacy: How AI uses data and its accompanying privacy issues
Definition and scope of AI 2. The growth of marketing research in
artificial intelligence (AI): Topic popularity 3. Types of artificial
intelligence (AI) in marketing management 4. A framework of artificial
intelligence (AI) applications in marketing PART II AI and its implications
in the new age of marketing management 5. New developments in artificial
intelligence (AI)-powered products in marketing 6. Artificial intelligence
(AI)-driven services: Communication support, assistance for
decision-making, and enhanced customer experience service 7. Artificial
intelligence (AI)-integrated operation; insights into supply chain
management 8. Artificial intelligence (AI)-based market intelligence and
customer insights 9. Artificial intelligence (AI)-empowered customer
relationship management PART III Challenges and opportunities of AI 10.
Data privacy and artificial intelligence (AI): How AI collects data and its
impact on data privacy 11. Solutions to artificial intelligence (AI) and
privacy: How AI uses data and its accompanying privacy issues