THE ROLE OF ARTIFICIAL INTELLIGENCE AND MARKETING AUTOMATION IN A MARKET ECONOMY

##article.authors##

  • Mamatkulova Shoira Djalolovna ##default.groups.name.author##

##semicolon##

Key words: artificial intelligence, marketing automation, market economy, personalized marketing, predictive analytics, customer experience, operational efficiency, consumer behavior, data privacy, innovation, job displacement.

##article.abstract##

Abstract: Artificial Intelligence (AI) and marketing automation are transforming the landscape of market economies, reshaping how businesses engage with consumers and optimize their operations. AI-driven technologies enable personalized marketing strategies, predictive analytics, and real-time decision-making, enhancing customer experience and increasing operational efficiency. Marketing automation further integrates AI capabilities to streamline workflows, enabling businesses to automate repetitive tasks and allocate resources more effectively. This paper explores the role of AI and marketing automation in driving innovation, improving competitiveness, and shaping consumer behavior within a market economy. It also examines the ethical considerations and challenges associated with the adoption of these technologies, including data privacy, job displacement, and the balance between automation and human oversight.

##submission.citations##

1. Davenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review, 96(1), 108-116.

2. Jarek, K., & Mazurek, G. (2019). Marketing Automation and Artificial Intelligence in Marketing. Entrepreneurial Business and Economics Review, 7(3), 53-68.

3. Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company.

4. Rust, R. T., & Huang, M. H. (2021). The AI Revolution in Marketing. Journal of the Academy of Marketing Science, 49(1), 24-42.

5. Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), 1165-1188.

6. Kaplan, A., & Haenlein, M. (2019). Siri, Siri in My Hand, Who’s the Fairest in the Land? On the Interpretations, Illustrations, and Implications of Artificial Intelligence. Business Horizons, 62(1), 15-25.

7. Gentsch, P. (2018). AI in Marketing, Sales, and Service: How Marketers Without a Data Science Degree Can Use AI, Big Data, and Bots. Palgrave Macmillan.

8. Parry, M. E., Kawakami, T., & Kishiya, K. (2012). Does Marketing Automation Impact Sales Performance? Journal of Business Research, 65(8), 1186-1192.

9. Schrage, M. (2020). AI-Enabled Innovation. MIT Sloan Management Review, 61(2), 13-16.

10. Floridi, L., & Cowls, J. (2019). A Unified Framework of Five Principles for AI in Society. Harvard Data Science Review, 1(1), 1-15.

##submissions.published##

2024-10-15