Exploring King Khalid University Faculty Members’ Perspectives on Consumer Behavior and the Evolution of Marketing Strategies in the Age of Artificial Intelligence
Objectives: To explore King Khalid University Faculty’s perspectives on consumer behavior and the evolution of marketing strategies in the age of Artificial Intelligence. Theoretical Framework: an overview of AI and business, explaining the concept of AI and its role and applications in modern e-business. Furthermore, AI's influence on customer behavior and the evolution of marketing strategies for the business sector is surveyed, encircling the definition of customer, and AI’s application. This in-depth review highlights the role of AI in improving consumer behavior and the evolution of marketing strategies for business sector beside technological evolutions. Method: The two researchers utilized the descriptive research method for this investigation because it was the most appropriate approach to research the two given objectives and the two study questions. Results and Discussion: The results revealed that AI-driven tools, such as deep learning algorithms, automatize continuous tasks like distribution, content creation, and user behavior analytics, enabling marketers to focus on higher-ranking sustained efforts. Research Implications: This study might have implications in proposing suggestions to faculty members, managers, researchers, economists, business analysts, entrepreneurs, and more to make use of AI technologies in their field because the incorporation of AI can greatly enhance their knowledge and skills to achieve professional development. Novelty/Originality: This study is among the first to explore staff members’ perspectives on consumer behavior and the evolution of marketing strategies in the age of Artificial Intelligence in the business sector.
Authors
- Ali Albashir Mohammed Alhaj (ORCID: https://orcid.org/0000-0003-4845-176X)
- Sultan Abdullah Al-Shahrani
Publication Details
- Journal
- Journal of Lifestyle and SDGs Review
- Published
- 2025-02-21
- DOI
- https://doi.org/10.47172/2965-730x.sdgsreview.v5.n03.pe04503
- Citations
- 1
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 2.48