Artificial Intelligence Dalam Digital Marketing Dan Dampaknya Pada Perilaku Konsumen Digital: Systematic Literature Review
DOI:
https://doi.org/10.37385/ceej.v7i6.11663Keywords:
kajian literatur sistematis, kecerdasan buatan, pemasaran digital, perilaku konsumen, PRISMAAbstract
Penelitian ini bertujuan untuk mengkaji secara komprehensif pemanfaatan artificial intelligence dalam digital marketing serta dampaknya terhadap perilaku konsumen digital. Penelitian ini menggunakan metode Systematic Literature Review (SLR) dengan pendekatan PRISMA, yang bersumber dari basis data Scopus, ScienceDirect, dan Google Scholar yang terbit pada tahun 2020 - 2026. Melalui proses seleksi tersebut, diperoleh sebelas artikel yang memenuhi kriteria dan dianalisis dalam penelitian ini. Hasil kajian menunjukkan bahwa pemanfaatan AI telah dilakukan secara luas dalam digital marketing melalui personalisasi konten secara adaptif, otomatisasi kampanye pemasaran, pengambilan keputusan berbasis data, serta perumusan strategi konten pemasaran baik secara verbal maupun visual. Pada sisi konsumen, integrasi AI terbukti memengaruhi minat beli, kepercayaan terhadap merek, dan kepuasan pelanggan, namun di sisi lain turut memunculkan kekhawatiran terkait privasi data, bias algoritma, serta berkurangnya sentuhan manusia (human touch) dalam interaksi digital. Penelitian ini menyimpulkan bahwa efektivitas strategi digital marketing berbasis AI sangat bergantung pada kemampuan perusahaan dalam menyeimbangkan kecanggihan teknologi dengan tata kelola yang etis serta kepercayaan konsumen. Temuan ini memberikan kontribusi teoretis bagi literatur digital marketing sekaligus implikasi praktis bagi perusahaan dalam merancang strategi berbasis AI yang berorientasi pada konsumen dan berkelanjutan.
References
Alawadh, M., & Barnawi, A. (2024). A Consumer Behavior Analysis Framework toward Improving Market Performance Indicators: Saudi’s Retail Sector as a Case Study. Journal of Theoretical and Applied Electronic Commerce Research, 19, 152–171. https://doi.org/https://doi.org/10.3390/jtaer19010009
Barari, M., Casper Ferm, L.-E., Quach, S., Thaichon, P., & Ngo, L. (2024). The dark side of artificial intelligence in marketing: meta-analytics review. Marketing Intelligence & Planning, 42(7), 1234–1256. https://doi.org/10.1108/MIP-09-2023-0494
Basu, R., Aktar, M. N., & Kumar, S. (2025). The interplay of artificial intelligence, machine learning, and data analytics in digital marketing and promotions: a review and research agenda. Journal of Marketing Analytics. https://doi.org/10.1057/s41270-024-00355-6
BizIQ. (2026). AI in Marketing Statistics (2026): Adoption, ROI, Productivity & Performance Data. https://biziq.com/blog/ai-in-marketing-statistics/
Campbell, C., Sands, S., Ferraro, C., Tsao, H.-Y. (Jody), & Mavrommatis, A. (2020). From data to action: How marketers can leverage AI. Business Horizons, 63(2), 227–243. https://doi.org/https://doi.org/10.1016/j.bushor.2019.12.002
Chaffey, D., & Ellis-Chadwick, F. (2022). Digital Marketing: Strategy, Implementation and Practice (8th edition). Pearson.
Chinnici, P., Bacarella, S., Chironi, S., & Naselli, V. (2025). How will artificial intelligence drive marketing in the beverage industry?-A bibliometric literature review. In Future Foods. Elsevier. https://www.sciencedirect.com/science/article/pii/S2666833525001637
Diwanji, V. S. (2026). Should your brand hire virtual influencers ? How realism and gender presentation shape trust and purchase intentions ☆. Journal of Retailing and Consumer Services, 88, 1–12.
Dumitriu, D., & Popescu, M. A.-M. (2020). Artificial Intelligence Solutions for Digital Marketing. Procedia Manufacturing, 46, 630–636. https://doi.org/https://doi.org/10.1016/j.promfg.2020.03.090
Faruk, M., Islam, S., Mondal, D., Hossain, N., Tuhin, R., Khatun, E., & Ejarder, S. (2026). How Artificial Intelligence Brought a Paradigm Shift in the Digital Marketing Landscape: A Scientometric Mapping and Future Research Directions. International Review of Management and Marketing, 16(1), 446–460. https://doi.org/https://doi.org/10.32479/irmm.21571
Gao, Y., & Liu, H. (2023). Artificial intelligence-enabled personalization in interactive marketing: a customer journey perspective. Journal of Research in Interactive Marketing, 17(5), 663–680. https://doi.org/https://doi.org/10.1108/JRIM-01-2022-0023
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. In MIT Press (Vol. 19). https://doi.org/10.1007/s10710-017-9314-z
Gujrati, R., Uygun, H., & Wadhwa, S. (2026). AI Marketing: Automating Creativity for Digital Campaigns. PromptAI Academy Journal, 4. https://doi.org/10.37497/promptai.5.2026.91
Herhausen, D., Miočević, D., Morgan, R. E., & Kleijnen, M. H. P. (2020). The digital marketing capabilities gap. Industrial Marketing Management, 90, 276–290. https://doi.org/https://doi.org/10.1016/j.indmarman.2020.07.022
Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50. https://doi.org/10.1007/s11747-020-00749-9
Jung, H., & Kim, H. (2026). Why human touch matters in AI-generated advertising: dual pathways to consumer satisfaction. Asia Pacific Journal of Marketing and Logistics, 1–22. https://doi.org/10.1108/APJML-09-2025-2042
Kamkankaew, P., Thanitbenjasith, P., Sribenjachot, S., Sanpatanon, N., Phattarowas, V., & Thanin, P. (2024). How artificial intelligence is helping businesses grow and thrive: The transformative role of artificial intelligence in Thai B2C digital marketing. International Journal of Sociologies and Anthropologies Science Reviews, 4(1), 137–164. https://doi.org/https://doi.org/10.60027/ijsasr.2024.3651
Kaponis, A., & Maragoudakis, M. (2022). Data Analysis in Digital Marketing using Machine learning and Artificial Intelligence Techniques, Ethical and Legal Dimensions, State of the Art. Association for Computing Machinery, 15, 1–9. https://doi.org/10.1145/3549737.3549756
Kingsnorth, S. (2022). Digital marketing strategy: An integrated approach to online marketing (3rd ed.). Kogan Page.
Kotler, P., Kartajaya, H., & Setiawan, I. (2021). Marketing 5.0: Technology for Humanity. John Wiley & Sons.
Launtu, A. (2025). Perilaku Konsumen dalam Menggunakan Marketplace Lokal pada Pengguna Shopee dan Tokopedia di Indonesia. Jurnal Economina, 4(11), 388–395. https://doi.org/https://doi.org/10.55681/economina.v4i11.1792
LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444. https://doi.org/10.1038/nature14539
Mahi, R., Alam, F., & Hasan, M. (2024). Exploring the confluence of big data, artificial intelligence, and digital marketing analytics: a comprehensive review. Journal of Innovation, Engineering & Emerging Technology, 3(3), 1–12. https://doi.org/10.62304/jieet.v3i3.159
Mani, A. (2024). Applying artificial intelligence to the digital marketing: Opportunities and challenges for the marketer. International Journal of Business and Management Review, 12(2), 56–74. https://doi.org/https://doi.org/10.37745/ijbmr.2013/vol12n25674
Market Research Future. (2026). Artificial Intelligence in Marketing Market Report 2026–2035. https://www.marketresearchfuture.com/reports/artificial-intelligence-marketing-market-6568
Nazir, S., Khadim, S., Asadullah, M. A., & Syed, N. (2023). Exploring the influence of artificial intelligence technology on consumer repurchase intention: The mediation and moderation approach. Technology in Society, 72. https://doi.org/https://doi.org/10.1016/j.techsoc.2022.102190
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Qiao, P. (2023). On the dynamic interplay of macro and micro contexts in translation. Fédération Internationale Des Traducteurs (FIT) Revue Babel, 70(1–2), 40–63. https://doi.org/https://doi.org/10.1075/babel.00369.qia
Rabby, F., Chimhundu, R., & Hassan, R. (2021). Artificial intelligence in digital marketing influences consumer behaviour: a review and theoretical foundation for future research. Academy of Marketing Studies Journal, 25(5), 1–7. https://www.academia.edu/download/100012058/Artificial-intelligence-in-digital-marketing-influences-1528-2678-25-5-472.pdf
Romic, J. (2026). Digital Marketing and Artificial Intelligence (V. B. T.-I. E. of B. M. (First E. Ratten (ed.); pp. 98–102). Academic Press. https://doi.org/https://doi.org/10.1016/B978-0-443-13701-3.00539-9
Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
Saleh, R. A., & Zeebaree, S. R. M. (2025). Artificial Intelligence in E-commerce and Digital Marketing: A Systematic Review of Opportunities, Challenges, and Ethical Implications. Asian Journal of Research in Computer Science, 18(3), 395–410. https://doi.org/https://doi.org/10.9734/ajrcos/2025/v18i3601
Sánchez-camacho, C., San-emeterio, B. M., Carranza, R., & Feijoo, B. (2025). Mapping Two Decades Of Evolution Of Artificial Intelligence And Machine Learning In Digital Marketing And Digital Promotion To Determine The Current Direction : A Systematic Review Using Bibliometrics. Journal of Electronic Commerce Research, 26(1), 1–33. http://www.jecr.org/node/722%0AMAPPING
Santosh. (2024). Artificial Intelligence And Digital Marketing: An Overview. International Journal of Engineering, Science and Humanities, 1(1), 118–122.
Shams, R., Chatterjee, S., & Chaudhuri, R. (2024). Developing brand identity and sales strategy in the digital era: Moderating role of consumer belief in brand. Journal of Business Research, 179, 114689. https://doi.org/https://doi.org/10.1016/j.jbusres.2024.114689
Solomon, M. R. (2019). Consumer behavior: Buying, having, and being (13th ed.). Pearson.
Sun, Q., & Jiang, W. (2026). The impact of digital marketing on firms’ reliance on major customers. Industrial Marketing Management, 135, 173–188. https://doi.org/https://doi.org/10.1016/j.indmarman.2026.05.001
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending The Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157–178.
Ziakis, C., & Vlachopoulou, M. (2023). Artificial intelligence in digital marketing: Insights from a comprehensive review. In Information. mdpi.com. https://www.mdpi.com/2078-2489/14/12/664
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