International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 5
September-October 2024
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Holistic AI-Enhanced Marketing Framework Theory: Bridging Human Creativity and AI for Ethical Marketing
Author(s) | Rachid Ejjami |
---|---|
Country | France |
Abstract | The Holistic AI-Enhanced Marketing Framework Theory (HAEMF) presents a holistic paradigm that combines AI capabilities with human creativity, ethics, inclusivity, transparency, and security to improve user acceptance of AI-enhanced marketing techniques. To address shortcomings in existing technological acceptance models, HAEMF incorporates constructs such as perceived creativity and emotional resonance, ethical transparency and trust, inclusivity and bias mitigation, cybersecurity and data privacy, and digital inclusivity and accessibility. These structures operate together in a balanced framework to ensure that AI-powered marketing is efficient, data-driven, and consistent with human values and ethical norms. The model's qualitative study reveals that transparent and inclusive AI methods, human emotional intelligence, and ethical monitoring dramatically improve user engagement and trust. HAEMF's adaptable, cross-sector approach serves as a road map for practitioners looking to implement AI in marketing responsibly, balancing technological innovation with ethical considerations and user-centric experiences, ultimately leading to greater acceptance of AI-enhanced marketing practices. |
Keywords | AI-enhanced marketing, Holistic AI-enhanced marketing framework theory, User acceptance, Ethical transparency, Human creativity, Inclusivity, Bias mitigation, Cybersecurity, Data privacy, Digital inclusivity, Explainable AI, Emotional resonance, Ethical marketing practices. |
Published In | Volume 6, Issue 5, September-October 2024 |
Published On | 2024-09-30 |
Cite This | Holistic AI-Enhanced Marketing Framework Theory: Bridging Human Creativity and AI for Ethical Marketing - Rachid Ejjami - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.28169 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i05.28169 |
Short DOI | https://doi.org/g59zrr |
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