Volume 23 , Issue 3 , PP: 175-183, 2024 | Cite this article as | XML | Html | PDF | Full Length Article
Astanakulov Olim Tashtemirovich 1 * , Muhammad Eid Balbaa 2 , Foziljonov Ibrohimjon 3 , Nilufar Batirova 4
Doi: https://doi.org/10.54216/IJNS.230315
The burgeoning proliferation of Artificial Intelligence (AI) technologies has engendered a transformative shift in various industries, and digital marketing is not an exception to this trend. The thrust of this paper is to explore, analyze, and conceptualize the multi-dimensional impact of AI on digital marketing strategies using Neutrosophic set. By employing statistical mechanics and stochastic models, we aim to delineate the underlying mechanisms that facilitate the operational synergy between AI algorithms and marketing frameworks in the light of Neutrosophic analysis. We invoke the concept of AI-Enabled Marketing Efficiency (AIME), which we define as AIME =(ROI{AI} - ROI{Traditional} )/(Time{AI} ) , to assess the quantitative aspects of this interaction. Our empirical findings suggest that AI integration could enhance marketing campaign effectiveness by approximately 27% (p < 0.05) while reducing human-led execution time by 33%. We further discuss the ethical implications of AI-driven decision-making in digital marketing, such as the potential for reinforcing societal biases and the abuse of personal data. Artificial Intelligence has been an area of extensive research and development, permeating through diverse sectors including healthcare, finance, and now more prevalently, digital marketing. While the application of AI in digital marketing is not a nascent concept, the nuanced interplay between the two remains largely underexplored. We leverage neutrosophic set theory as a powerful analytical tool to investigate the transformative effects of Artificial Intelligence on various digital marketing tactics and strategies.
Neutrosophic set , Artificial Intelligence , Digital Marketing , AIME Model , AMER Model.
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