rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Market grooming
    sub title: the dark side of AI marketing
  title info:
    title: Dark side of artificial intelligence marketing
  name:
    name part: Dadwal, Sumesh
    role:
      role term: editor.
  name:
    name part: Jahankhani, Hamid
    role:
      role term: editor.
  name:
    name part: Revett, Kenneth
    role:
      role term: editor.
  type of resource: text
  genre: bibliography
  genre: elektronické knihy
  genre: electronic books
  origin info:
    place:
      place term: enk
    date issued: 2024
    copyright date: 2025
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (328 pages)
  abstract: 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.
  table of contents: 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 practic…
  note: edited by Sumesh Dadwal (London South Bank University, UK), Hamid Jahankhani (Northumbria University London, UK), and Kenneth Revett (Champlain College, USA).
  note: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  note: Includes bibliographical references and index.
  subject:
    topic: Relationship marketing
  subject:
    topic: Artificial intelligence
  subject:
    topic: Artificial intelligence
    topic: Marketing applications
  subject:
    topic: Business & Economics
    topic: Marketing
    topic: General
  subject:
    topic: Advertising, marketing and sponsorship law
  subject:
    topic: Sales and marketing
  classification: 658.812
  classification: 339.1
  identifier: 9781835490037
  identifier: https://proxy.k.utb.cz/login
  access condition: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  record info:
    record content source: UtOrBLW
    record creation date: 241118
    record change date: 20241118132412.0
    record identifier: em-9781835490037
    language of cataloging:
      language term: eng