Artificial Intelligence for Marketing Management

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