Analisis Dampak Kecerdasan Buatan dalam Peningkatan Efisiensi Pemasaran Digital di Industri E-commerce Indonesia
DOI:
https://doi.org/10.54066/jmbe-itb.v2i4.2385Keywords:
digital marketing, artificial intelligence, technology, industryAbstract
The e-commerce industry in Indonesia is growing rapidly, but fierce competition and consumer demands require the adoption of advanced technologies to improve the efficiency and effectiveness of digital marketing. Artificial intelligence (AI) offers a solution by enabling content personalisation, process automation and more accurate consumer behaviour prediction. This research, through an integrative literature review, found that AI can increase conversions and sales. However, challenges such as high costs, limited expertise, and ethical issues related to privacy and bias remain. Therefore, appropriate strategies and investment in workforce education are needed to maximise the benefits of AI in Indonesia.
References
Belch, G. E., & Belch, M. A. (2018). Advertising and Promotion: An Integrated Marketing Communications Perspective (11th ed.). McGraw-Hill Education.
Chaffey, D., & Ellis-Chadwick, F. (2019). Digital Marketing: Strategy, Implementation, and Practice (7th ed.). Pearson.
Crane, A., & Matten, D. (2016). Business Ethics: Managing Corporate Citizenship and Sustainability in the Age of Globalization (4th ed.). Oxford University Press.
Kotler, P., & Keller, K. L. (2016). Marketing Management (15th ed.). Pearson.
Peppers, D., & Rogers, M. (1993). The One to One Future: Building Relationships One Customer at a Time. Currency/Doubleday.
Rogers, E. M. (2003). Diffusion of Innovations (5th ed.). Free Press.
Woodside, A. G. (2020). Marketing Strategy: Product Life Cycles, Dynamic Functional Capabilities, and Thought Leadership Research. Emerald Publishing Limited.
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104(July), 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42. https://doi.org/10.1007/s11747-019-00696-0
Hicham, N., Nassera, H., & Karim, S. (2023). Strategic Framework for Leveraging Artificial Intelligence in Future Marketing Decision-Making. Journal of Intelligent Management Decision, 2(3), 139–150. https://doi.org/10.56578/jimd020304
Nawata, K. (2022). An Analysis of Two-Dimensional Image Data Using a Grouping Estimator. Open Journal of Statistics, 12(01), 33–48. https://doi.org/10.4236/ojs.2022.121003
Ziakis, C., & Vlachopoulou, M. (2023). Artificial Intelligence in Digital Marketing: Insights from a Comprehensive Review. Information (Switzerland), 14(12), 1–30. https://doi.org/10.3390/info14120664
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 JURNAL MANAJEMEN DAN BISNIS EKONOMI
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.