000 03244 a2200289 4500
003 OSt
005 20250520142153.0
008 120830t2023 nyu |||go|||| 001 0 spa d
020 _a9781000780239
040 _cDLC
050 4 _aHF5415
_b.A78 2023
245 0 0 _aArtificial intelligence for marketing management /
_cedited by Park Thaichon and Sara Quach.
264 1 _aNew York :
_bRoutledge,
_c2023.
300 _a1 online resource (236 pages)
336 _2rdacontent
_atext
337 _2rdamedia
_acomputer
338 _2rdacarrier
_aonline resource
504 _aIncludes bibliographical references and index.
505 _aPart 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 -- Index.
520 _aArtificial 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. This book also explores the dark side of AI in marketing management and discusses ethics and transparency of automated decision-making in AI applications, data privacy, cyber security issues, and biases in various facets of marketing. Emerging applications of AI such as DeepFakes which use deep learning technology could increase risks of manipulation and deception. Hence, apart from leveraging AI capabilities and advantages, the book cautions the need for prevention strategies to deal with potential issues that could arise from the adoption of AI in marketing management. This book will provide practical insights into the role of AI in marketing management. It will be a useful reference for those researching marketing and marketing professionals.
650 0 _aMarketing
_9131165
_xTechnological innovations.
650 0 _aArtificial intelligence
_955040
700 _aThaichon, Park.
_9302271
_eeditor
700 _aQuach, Sara.
_9302272
856 _uhttps://ebookcentral.proquest.com/lib/pucpr-ebooks/detail.action?docID=7083264
_yPresione para acceder al libro en lĂ­nea.
942 _c7
_2lcc
999 _c304229
_d304229