This systematic literature review, conducted from 2019 to 2024, critically examines the paradigmatic shift toward digital marketing, with a primary focus on the implementation of data-driven strategies. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, our methodology systematically identifies and evaluates relevant scholarly articles and industry reports. The review explores prevailing theories related to consumer behavior and technology adoption, elucidating their profound influence on contemporary marketing practices. By employing a meticulous analysis, we investigate the intersection of key technologies, particularly artificial intelligence (AI) and big data, with the dynamic evolution of consumer behavior. Our synthesis highlights how businesses strategically leverage these technological trends to gain a competitive advantage in the digital landscape. The identified trend underscores a substantial shift towards interactive and personalized marketing experiences, driven by continuous digital innovation. The synthesis of literature not only accentuates the significance of aligning marketing practices with emerging technologies but also emphasizes the strategic imperative of meeting evolving consumer expectations. The document recognizes the transformative impact of digital innovation on marketing strategies and underlines the importance of adapting practices to stay relevant in this dynamic landscape. Furthermore, this systematic review acknowledges the inherent limitations within the current body of literature and addresses potential areas for future research exploration. By integrating a rigorous methodology based on the PRISMA framework and considering literature from 2019 to 2024, this review contributes to a comprehensive understanding of the dynamic interplay between digital marketing strategies, emerging technologies, and evolving consumer behavior.
Miklosik, A., & Evans, N. (2020). Impact of big data and machine learning on digital transformation in marketing: A literature review. Ieee Access, 8, 101284-101292.
Cavlak, N., & Cop, R. (2021). The role of big data in digital marketing. Advanced Digital Marketing Strategies in a Data-Driven Era, 16-33.
Gao, F., & Zhang, L. (2020, April). Application of artificial intelligence and big data technology in digital marketing. In Proceedings of the 2020 2nd International Conference on Big Data and Artificial Intelligence (pp. 270-272).
Chintalapati, S., & Pandey, S. K. (2022). Artificial intelligence in marketing: A systematic literature review. International Journal of Market Research, 64(1), 38-68.
Sharma, A. (2023). Analyzing the Role of Artificial Intelligence in Predicting Customer Behavior and Personalizing the Shopping Experience in Ecommerce. International Journal Of Scientific Research In Engineering and Management.
Suciu, G., Pasat, A., & Vasilescu, C. (2019). Novel artificial intelligence technologies for enhanced recruitment campaigns using social media. eLearning and Software for Education. https://doi.org/10.12753/2066-026x-19-169
Esch, P., & Black, J. (2021). Artificial Intelligence (AI): Revolutionizing Digital Marketing. Australasian Marketing Journal, 29, 199 - 203. https://doi.org/10.1177/18393349211037684.
Veleva, S., & Tsvetanova, A. (2020) Characteristics of the digital marketing advantages and disadvantages. IOP Conference Series: Materials Science and Engineering, 940. https://doi.org/10.1088/1757-899X/940/1/012065
Alalwan, A. A., Rana, N. P., Dwivedi, Y. K., & Algharabat, R. (2017). Social media in marketing: A review and analysis of the existing literature. Telematics and Informatics, 34(7), 1177-1190.
Zeeshan, M., & Saxena, K. (2019). Explorative Study of Artificial Intelligence in Digital Marketing. . https://doi.org/10.1007/978-3-030-43192-1_107.
Arthur, K. K., Bannor, R. K., & Masih, J. (2024). Digital Innovations: Implications for African Agribusinesses. Agricultural Technology.
Chaffey, D., & Ellis-Chadwick, F. (2019). Digital marketing. Pearson UK. Retrieved from https://www.pearson.com/uk/educators/higher-education-educators/program/Chaffey-Digital-Marketing-7th-Edition/PGM334830.html
Djakeli, K. (2023). Modern Healthcare Marketing in the Digital Era.
Court, D., Perrey, J., McGuire, T., Gordon, J., & Spillecke, D. (2013). eBook: Big Data, Analytics, and the Future of Marketing & Sales. McKinsey & Company. Available at: https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/ebook-big-data-analytics-and-the-future-of-marketing--sales
Holliman, G., & Rowley, J. (2014). Business to business digital content marketing: Marketers’ perceptions of best practice. Journal of Research in Interactive Marketing, 8(4), 269-293.
Iskiev, M. (2022). The HubSpot Blog’s Instagram Shopping Report: Data from 500+ Instagram Marketers. HubSpot Blog. HubSpot. Available at: https://blog.hubspot.com/marketing/instagram-shopping-report
Judijanto, L., & Utami, E. Y. (2023). Exploratory Analysis of Literature on the Impact of Globalization on Finance. West Science Journal.
Kavimayil, N. V., & Vijayabanu, C. (2024). Unveiling the Advancements and Trends in Innovative Sustainable Marketing Strategies. In Handbook of Research on Ethical and Sustainable Interactive Marketing. Retrieved from https://www.igi-global.com/chapter/unveiling-the-advancements-and-trends-in-innovative-sustainable-marketing-strategies/337513
Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59-68.
Leeflang, P. S., Verhoef, P. C., Dahlström, P., & Freundt, T. (2014). Challenges and solutions for marketing in a digital era. European Management Journal, 32(1), 1-12.
Lamberton, C., & Stephen, A. T. (2016). A Thematic Exploration of Digital, Social Media, and Mobile Marketing: Research Evolution from 2000 to 2015 and an Agenda for Future Inquiry. Journal of Marketing, 80(6), 146-172.
Leeflang, P. S., Verhoef, P. C., Dahlström, P., & Freundt, T. (2014). Challenges and solutions for marketing in a digital era. European Management Journal, 32(1), 1-12.
PNC Insights. (2019, November 20). How Big Data is Revolutionizing Marketing. Retrieved from https://www.pnc.com/insights/corporate-institutional/gain-market-insight/big-data-in-the-new-era-of-marketing.html
Palazzo, M., & Foroudi, P. (2024). Contemporary Marketing and Consumer Behaviour in Sustainable Tourism.
Reetz, J. (2023). Instagram shoppable posts: How to create a social storefront that sells. Bazaarvoice. Available at: https://www.bazaarvoice.com/blog/instagram-shoppable-posts/
Rosário, A. T., & Dias, J. C. (2023). How has data-driven marketing evolved: Challenges and opportunities with emerging technologies. International Journal of Information Management Data Insights, 3(2), 100203. https://doi.org/10.1016/j.jjimei.2023.100203
Smith, P. R., & Zook, Z. (2016). Marketing Communications: Offline and Online Integration, Engagement and Analytics. Retrieved from https://www.semanticscholar.org/paper/Marketing-Communications%3A-Offline-and-Online-and-Smith-Zook/a4dd3ff456e6994317d8146e4717d1dead64a5fc
Tiago, M. T. P. M. B., & Veríssimo, J. M. C. (2014). Digital marketing and social media: Why bother? Business Horizons, 57(6), 703-708.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2012). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
Wirtz, B. W., Schilke, O., & Ullrich, S. (2010). Strategic Development of Business Models: Implications of the Web 2.0 for Creating Value on the Internet. Long Range Planning, 43(2-3), 272-290.
ZipDo (2024). Essential Instagram Shopping Statistics in 2024. Available at: https://zipdo.co/statistics/instagram-shopping/
Hamamah, A., Al-Haimi, B., & Tajuri, W. (2024). Navigating the Marketing Landscape: Artificial Intelligence and Big Data Role in Digital Marketing. International Journal of Academic Research in Business and Social Sciences, 14(10), 2285–2299.
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