Implementation of Artificial Intelligence in Digital Marketing Development: a Thematic Review and Practical Exploration
DOI:
https://doi.org/10.55927/jambak.v2i1.4034Keywords:
Artificial Intelligence, Digital Marketing, Thematic Review, SLR, FrameworkAbstract
This study aims to synthesize a comprehensive view of the use of AI in each stage of a series of marketing campaigns, including the stages of planning, initiating the marketing concept, marketing design, implementation and monitoring, and evaluation. By using the Systematic Literature Review (SLR) method, this study will try to "summarize" the use of AI in every stage of marketing that is studied in existing scientific research. It was concluded that with a variety of AI tools, AI can be used to understand target audiences, personalize marketing content to make it relevant, help understand consumer behavior and preferences based on data and analysis. , formulate verbal and visual digital marketing content, and monitor and evaluate the performance of advertising campaigns effectively.
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References
Askarifard, H. (2015). Types of classifier in artificial intelligence. International Journal of Computers & Technology, 15(1), 6436–6443. https://doi.org/10.24297/ijct.v15i1.1716
Bianchini, F. (2023). A New Definition of “Artificial” for Two Artificial Sciences. Foundations of Science, 28(1), 401–417. https://doi.org/10.1007/s10699-021-09799-w
Boujrad, M., & lamlili, Y. el M. N. (2021). A New Artificial Intelligence-Based Strategy for Digital Marketing Reinforcement. In Lecture Notes in Networks and Systems (Vol. 183, pp. 689–699). https://doi.org/10.1007/978-3-030-66840-2_52
Bruun, E. P. G., & Duka, A. (2018). Artificial Intelligence, Jobs and the Future of Work: Racing with the Machines. Basic Income Studies, 13(2). https://doi.org/10.1515/bis-2018-0018
de Judicibus, D. (2015). The Definition of Intelligence. Journal of Cognitive Science, 16(2), 109.https://www.dejudicibus.it/blog/files/Dario de Judicibus - The Definition of Intelligence.pdf
Draganov, M., Panicharova, M., & Madzhirova, N. (2018). Marketing 5.0. Transactions of Artificial Intelligence Systems in the Digital Environment. In International Conference on High Technology for Sustainable Development, HiTech 2018 - Proceedings. https://doi.org/10.1109/HiTech.2018.8566547
Dumitriu, D., & Popescu, M. A. M. (2020). Artificial intelligence solutions for digital marketing. In Procedia Manufacturing (Vol. 46, pp. 630–636). https://doi.org/10.1016/j.promfg.2020.03.090
Gao, F., & Zhang, L. (2020). Application of Artificial Intelligence and Big Data Technology in Digital Marketing. In ACM International Conference Proceeding Series (pp. 270–272). https://doi.org/10.1145/3436286.3436404
Gkikas, D. C., & Theodoridis, P. K. (2019). Artificial Intelligence (AI) Impact on Digital Marketing Research. In Springer Proceedings in Business and Economics (pp. 1251–1259). https://doi.org/10.1007/978-3-030-12453-3_143
Guru, K., Raja, S., Sasiganth, J., Sharma, D. K., Tiwari, M., & Tiwari, T. (2023). The Future Impact of Technological Developments on Digital Marketing Through Artificial Intelligence. In Smart Innovation, Systems and Technologies (Vol. 290, pp. 217–225). https://doi.org/10.1007/978-981-19-0108-9_23
Haenlein, M., Kaplan, A., Tan, C.-W., & Zhang, P. (2019). Artificial intelligence (AI) and management analytics. Journal of Management Analytics, 6(4), 341–343. https://doi.org/10.1080/23270012.2019.1699876
Harden, A., & Thomas, J. (2005). Methodological issues in combining diverse study types in systematic reviews. International Journal of Social Research Methodology: Theory and Practice, 8(3), 257–271. https://doi.org/10.1080/13645570500155078
Hassan, A. (2021). The usage of artificial intelligence in digital marketing: A review. Studies in Computational Intelligence, 954, 357–383. https://doi.org/10.1007/978-3-030-72080-3_20
Hsu, S. F., & Liou, S. (2021). Artificial Intelligence Impact on Digital Content Marketing Research. In 2021 9th International Conference on Orange Technology, ICOT 2021. https://doi.org/10.1109/ICOT54518.2021.9680666
Karn, A. (2021). Artificial Intelligence in Computer Vision. International Journal of Engineering Applied Sciences and Technology (IJEAST), 249–254.
Lai, Z., & Yu, L. (2021). Research on Digital Marketing Communication Talent Cultivation in the Era of Artificial Intelligence. In Journal of Physics: Conference Series (Vol. 1757, Issue 1). https://doi.org/10.1088/1742-6596/1757/1/012040
Mahesh, B. (2018). Machine Learning Algorithms - A Review. International Journal of Science and Research (IJSR), 9(1), 381–386.
Mogaji, E., Soetan, T. O., & Kieu, T. A. (2021). The implications of artificial intelligence on the digital marketing of financial services to vulnerable customers. Australasian Marketing Journal, 29(3), 235–242. https://doi.org/10.1016/j.ausmj.2020.05.003
Musnaini. (2021). Implementasi Marketing Mix di Era Pandemi. In H. Wijoyo, D. Sunarsi, & I. Indrawan (Eds.), Strategi Pemasaran UMKM di Masa Pandemi (Issue September). Penerbit Insan Cendekia Mandiri.
Nirwana, A., & Melany. (2022). Implementasi Customer-Driven Marketing Strategy dalam Pemasaran Media Sosial bagi Produk dan Jasa UMKM [Makalah]. Universitas Negeri Malang.
Nirwana, A., Sudarmiatin, & Hermawan, A. (2022). A Preliminary Study: Digital Visual Marketing and Its Relationship with MSMES in Indonesia. Himalayan Economics and Business Management, 3(6), 31–40. https://doi.org/10.47310/Hjebm.2022.v03i06.005
Piñeiro-Otero, T., & Martínez-Rolán, X. (2016). Understanding Digital Marketing—Basics and Actions (C. Machado, Ed.; Issue September). The Springer. https://doi.org/10.1007/978-3-319-28281-7_2
Poole, D. L., & Mackworth, A. K. (2010). Artificial Intelligence : Foundations of Computational Agents. Cambridge University Press.
Ribeiro, T., & Reis, J. L. (2020). Artificial intelligence applied to digital marketing. In Advances in Intelligent Systems and Computing: Vol. 1160 AISC (pp. 158–169). https://doi.org/10.1007/978-3-030-45691-7_15
Rindflesch, T. C. (1996). Natural Language Processing. Annual Review of Applied Linguistics, 16, 70–85. https://doi.org/10.1017/S0267190500001446
Sabharwal, D., Sood, R. S., & Verma, M. (2022). Studying the Relationship between Artificial Intelligence and Digital Advertising in Marketing Strategy. Journal of Content, Community and Communication, 16(8), 118–126. https://doi.org/10.31620/JCCC.12.22/10
Sarath Kumar Boddu, R., Santoki, A. A., Khurana, S., Vitthal Koli, P., Rai, R., & Agrawal, A. (2022). An analysis to understand the role of machine learning, robotics and artificial intelligence in digital marketing. Materials Today: Proceedings, 56, 2288–2292. https://doi.org/10.1016/j.matpr.2021.11.637
Saura, J. R., Ribeiro-Soriano, D., & Palacios-Marqués, D. (2021). Setting B2B digital marketing in artificial intelligence-based CRMs: A review and directions for future research. Industrial Marketing Management, 98, 161–178. https://doi.org/10.1016/j.indmarman.2021.08.006
Smadi, T. Al, Al Issa, H. A., Trad, E., & Smadi, K. A. Al. (2015). Artificial Intelligence for Speech Recognition Based on Neural Networks. Journal of Signal and Information Processing, 06(02), 66–72. https://doi.org/10.4236/jsip.2015.62006
Sternberg, R. J. (2012). Intelligence. Dialogues in Clinical Neuroscience, 14(1), 19–27. https://doi.org/10.31887/DCNS.2012.14.1/rsternberg
Tchelidze, L. (2019). Potential and skill requirements of artificial intelligence in digital marketing. Quality - Access to Success, 20, 73–78. https://api.elsevier.com/content/abstract/scopus_id/85073478221
Theodoridis, P. K., & Gkikas, D. C. (2019). How Artificial Intelligence Affects Digital Marketing. In Springer Proceedings in Business and Economics (pp. 1319–1327). https://doi.org/10.1007/978-3-030-12453-3_151
US Goverment (White House). (2018). The Impact of Artificial Intelligence on The Future Of Workforces in The European Union and The United States of America : An economic study prepared in response to the US-EU Trade and Technology Council
Inaugural Joint Statement. https://www.whitehouse.gov/wp-content/uploads/2022/12/TTC-EC-CEA-AI-Report-12052022-1.pdf
Xiao, Y., & Watson, M. (2019). Guidance on Conducting a Systematic Literature Review. Journal of Planning Education and Research, 39(1), 93–112. https://doi.org/10.1177/0739456X17723971
Zeeshan, M., & Saxena, K. (2020). Explorative Study of Artificial Intelligence in Digital Marketing. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 49, pp. 968–978). https://doi.org/10.1007/978-3-030-43192-1_107
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