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DC Field | Value | Language |
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dc.contributor.author | Vdovichena, Olha | - |
dc.contributor.author | Potwora, Maciej | - |
dc.contributor.author | Semchuk, Dmytrii | - |
dc.contributor.author | Lipych, Liubov | - |
dc.contributor.author | Saienko, Volodymyr | - |
dc.date.accessioned | 2024-06-25T08:24:13Z | - |
dc.date.available | 2024-06-25T08:24:13Z | - |
dc.date.issued | 2024 | - |
dc.identifier.other | УДК: 658.8:004.8 | - |
dc.identifier.uri | http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/2054 | - |
dc.description.abstract | The integration of Artificial Intelligence (AI) in marketing strategies is pivotal in the era of digital transformation, especially i n a u toma tion , personalization, and forecasting. This research investigates the evolutionary role of AI in transitioning from traditional marketing frameworks to da ta - driven methodologies, thereby enhancing marketing efficiency and customer engagement. The increasing reliance on AI for strategic decision-making in marketing underscores the significance of this study. Employing a systematic literature review and thematic analysis, this research synthesizes data from an array of studies to thoroughly understand the impact of AI on marketing. The findings reveal that AI significantly streamlines marketing operati on s, fosters highly personalized marketing strategies, and enhances the accuracy of forecasting market trends and consumer behavior. However, this stu dy also sheds light on the ethical and privacy concerns associated with the use of AI in marketing. Results point towards a significant tra n sformati on i n marketing practices propelled by AI, marked by improvements in operational efficiency and customer interaction. Nevertheless, the study advocates th e importance of addressing ethical considerations and privacy issues, emphasizing responsible AI deployment. The study offers a comprehensive perspective on the integration of AI in marketing and suggests insights into prospective trends. It recommends a balanced approach to leveragi ng AI’s capabilities while upholding ethical standards. The research’s practical implications aim to guide marketers and researchers towards respon sibl e a n d effective AI adoption in marketing strategies, paving the way for a future where technology enhances marketing endevaours wit h ou t comprom isi ng ethical integrity. | uk_UK |
dc.language.iso | en | uk_UK |
dc.publisher | THE USE OF ARTIFICIAL INTELLIGENCE IN MARKETING STRATEGIES: AUTOMATION, PERSONALIZATION AND FORECASTING / M. Potwora, O. Vdovichena, D. Semchuk, L. Lipych, V. Saienko // Journal of Management World. – 2024. – № 2. – P. 41–49. – DOI: 10.53935/jomw.v2024i2.275. | uk_UK |
dc.subject | AI-drivenmarket personalization | uk_UK |
dc.subject | Customer engagement techniques | uk_UK |
dc.subject | Data ethics | uk_UK |
dc.subject | Machine learning applications | uk_UK |
dc.subject | Predictive analytics | uk_UK |
dc.subject | Privacy management | uk_UK |
dc.title | The Use of Artificial Intelligence in Marketing Strategies: Automation, Personalization and Forecasting | uk_UK |
dc.type | Article | uk_UK |
Appears in Collections: | 06.81.03 Основи підприємництва, маркетингу |
Files in This Item:
File | Description | Size | Format | |
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The Use of Artificial Intelligence in Marketing Strategies Automation, Personalization and Forecasting.pdf | Основний текст | 1.1 MB | Adobe PDF | View/Open |
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