Market Grooming: The Dark Side of AI Marketing marks a paradigm shift in the field of marketing. This thought-provoking scholarly work examines how customers, markets and communities are groomed, socially conditioned, subliminally marketed to, and influenced by the use of AI technologies.
This comprehensive collection of research articles covers various aspects of AI and its impact on marketing, consumer behavior, and market grooming. It delves into the views and attitudes of consumers in the AI era, as well as the negotiation tactics and misbehaviors observed in digital AI marketing. The impact of AI, machine learning, and the Internet of Things on business and marketing models is thoroughly explored, including both positive and negative effects on individuals, communities, and different domains like social, politico-legal, and ethical spheres. The collection further examines customer relationships management (CRM) and the consequences of AI implementation in marketing and market grooming, highlighting the need for anti-data mining practices. Lastly, it addresses the challenges, concerns, and strategic directions for achieving ethic-socio-sustainable marketing using technology, especially in the context of Industry 5.0.
With contributions from experts in universities and institutions worldwide, this work offers valuable insights for regulators, marketers, governments, and communities in navigating the ever-evolving landscape of AI-driven marketing and market grooming.
Chapter
1. Market Grooming: Grooming Customers Using Artificial
Intelligence; Sumesh Singh Dadwal, Gordon Bowen, Hamid Jahankhani, Vipin
Nadda, and Pawan Kumar
Chapter
2. AI-Driven Trading: Navigating the Complex Landscape of Market
Manipulation; Sonal Jain
Chapter
3. The Dark Side of AI: Navigating the Dynamics of Patient Grooming
on Doctor-Patient Relationships; Archana Shankar, Shikha Gera, and Md Salehin
Ahmadi
Chapter
4. Chat GPT in Marketing 5.0: Gold is Real or Just a Gold-Plating;
Arpit Tiwari, Pawan Kumar, and Lokesh Jasrai
Chapter
5. Unpacking the Double-Edged Sword: How Artificial Intelligence
Shapes Hiring Process Through Biased HR Data; Osama Akram Amin Metwally
Hussien, Krison Hasanaj, Anil Kaya, Hamid Jahankhani, and Sara El-Deeb
Chapter
6. Leveraging Machine Learning Techniques to Project Customer
Behaviour through Predictive Analysis and Ethical Marketing; Mushtaq Ahmad
Shah and Pawan Kumar
Chapter
7. Towards Responsible AI: Exploring AI Frameworks, Ethical
Dimensions, and Regulations; Sara El-Deeb, Hamid Jahankhani, Osama Akram Amin
Metwally Hussien, and Isuru Sandakelum Will Arachchige
Chapter
8. Ethical Navigation Paradigms in AI-Driven Marketing: Insights and
Perspectives; Shani Kumar, Sonia Chawla, and Pawandeep Kaur
Chapter
9. Artificial Intelligence in Digital Marketing: The Ethical
Implications of Digital Influence on Markets and Consumer; K.A.Y.R. Oshadi
Karunanayaka, Hamid Jahankhani, Sara El-Deeb, Isuru Sandakelum Will
Arachchige, and Osama Akram Amin Metwally Hussien
Chapter
10. Exploring the Balance Between Personalisation And Automation In
Human-AI Interaction; Isuru Sandakelum Will Arachchige, Hamid Jahankhani,
K.A.Y.R. Oshadi Karunanayaka, and Osama Akram Amin Metwally Hussien
Chapter
11. Improving the Image Of Marketing: AI Has The Potential To Assist
In Marketing Decisions And Change Perceptions; Gordon Bowen, Richard Bowen,
Deidre Bowen, and Maryam Kiani
Chapter 12: Exploring the Practices of Chinese Short Video Platforms to
Enhance User Stickiness and Grooming the Customers: A Case Study of DOUYIN
China (Tiktok); Yifei Xiang, Ahmed Adel Tantawy, and Sumesh Singh Dadwal
Chapter
13. Market Grooming: How Neuromarketing Influences Consumers'
Purchase Decisions?; Ajit Bansal, Sumit Agarwal, and Nitish Arora
Sumesh Dadwal is Senior Lecturer in Strategy at London South Bank University, UK.
Hamid Jahankhani is Programme Leader for Cyber Security at Northumbria University London, UK.
Kenneth Revett is Adjunct Professor at Champlain College, USA.
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