International Scientific Journal of Engineering and Management

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Revolutionizing Content Marketing Through Generative AI: Opportunities and Ethical Challenges in Tamilnadu

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Revolutionizing Content Marketing Through Generative AI: Opportunities and Ethical Challenges in Tamilnadu

 

 

Dr. K Vееraraghavan
Assistant Prοfеssοr
Dеpartmеnt οf Cοmmеrcе, Dwaraka Dοss Gοvеrdhan Dοss Vaishnav Cοllеgе,
Arumbakkam, Chеnnai, Tamil Nadu, India

 

 

Abstract
The rapid advancement of generative artificial intelligence (AI) has significantly transformed digital marketing by enabling automated content creation, personalized communication, and improved consumer engagement. The present study examines the impact of generative AI on content marketing effectiveness, opportunities, and ethical challenges among digital consumers in Tamil Nadu. A quantitative research design was adopted, and primary data were collected from 156 respondents using a structured questionnaire. The collected data were analyzed using reliability analysis, correlation, regression, and mediation analysis. The reliability test indicated strong internal consistency with Cronbach’s Alpha values ranging from 0.81 to 0.88 across study variables. Descriptive analysis revealed that AI-based personalization recorded the highest mean score (Mean = 4.05, SD = 0.71), indicating strong consumer preference toward personalized marketing content. Correlation analysis showed a significant positive relationship between AI personalization and consumer engagement (r = 0.74, p < 0.01). Regression analysis confirmed that AI personalization has the strongest positive influence on consumer engagement (β
= 0.41, p < 0.001), followed by generative AI adoption (β = 0.32, p < 0.01). Ethical concerns related to data privacy and algorithm transparency showed a significant negative influence on consumer engagement (β = -0.27, p < 0.01). Mediation analysis revealed that consumer trust partially mediates the relationship between AI-generated marketing content and consumer engagement with an indirect effect value of 0.44 (p < 0.05). The findings indicate that generative AI enhances marketing efficiency, improves personalization, and increases consumer interaction. However, ethical challenges remain a critical factor influencing consumer acceptance of AI-driven marketing strategies.The study concludes that while generative AI has substantial potential to revolutionize content marketing, organizations must adopt transparent and ethical AI practices to maintain consumer trust and ensure sustainable digital marketing growth.
The findings provide valuable insights for marketers, policymakers, and researchers in understanding the evolving role of AI in modern marketing environments.
Keywords: Generative Artificial Intelligence,Content Marketing, AI-Based Personalization, Consumer Engagement,
Consumer Trust, Ethical AI Marketing, Digital Marketing Strategies, Marketing Automation, Data Privacy in AI, Tamil
Nadu Digital Consumers


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