학술논문
Research on the Strategic Use of AI and Big Data in the Food Industry to Drive Consumer Engagement and Market Growth
이용수 179
- 영문명
- Research on the Strategic Use of AI and Big Data in the Food Industry to Drive Consumer Engagement and Market Growth
- 발행기관
- 한국식품보건융합학회
- 저자명
- Taek Yong YOO Seong-Soo CHA
- 간행물 정보
- 『식품보건융합연구』제10권 1호, 1~6쪽, 전체 6쪽
- 주제분류
- 복합학 > 과학기술학
- 파일형태
- 발행일자
- 2024.02.29
무료
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이 학술논문 정보는 (주)교보문고와 각 발행기관 사이에 저작물 이용 계약이 체결된 것으로, 교보문고를 통해 제공되고 있습니다.

국문 초록
영문 초록
Purpose: The research aims to address the intricacies of AI and Big Data application within the food industry. This study explores the strategic implementation of AI and Big Data in the food industry. The study seeks to understand how these technologies can be employed to bolster consumer engagement and contribute to market expansion, while considering ethical implications.
Research Method: This research employs a comprehensive approach, analyzing current trends, case studies, and existing academic literature. It focuses on the application of AI and Big Data in areas such as supply chain management, consumer behavior analysis, and personalized marketing strategies.
Results: The study finds that AI and Big Data significantly enhance market analytics, consumer personalization, and market trend prediction. It highlights the potential of these technologies in creating more efficient supply chains, improving consumer satisfaction through personalization, and providing valuable market insights.
Conclusion and Implications: The paper offers actionable insights and recommendations for the effective implementation of AI and Big Data strategies in the food industry. It emphasizes the need for ethical considerations, particularly in data privacy and the transparency of AI algorithms. The study also explores future trends, suggesting that AI and Big Data will continue to revolutionize the industry, emphasizing sustainability, efficiency, and consumer-centric practices.
목차
1. Introduction
2. The AI and Big Data Revolution in the Food Industry
3. AI in Market Analytics
4. Ethics and Privacy Issues in AI Applications
5. Future Trends and Potential in the Food Industry
6. Conclusion
References
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