REKONFIGURASI STRATEGI PEMASARAN DIGITAL: DARI KONTEN BERBASIS AI MENUJU BRANDING AUTENTIK DALAM ERA KOMUNITAS MIKRO DAN SOCIAL COMMERCE 2.0
DOI:
https://doi.org/10.5281/zenodo.20118317Keywords:
artificial intelligence, authentic branding, brand equity, micro-communities, social commerce 2.0, digital marketingAbstract
This study examines the reconfiguration of digital marketing strategies from AI-generated content toward authentic branding in the era of micro-communities and Social Commerce 2.0. The rapid advancement of artificial intelligence has enabled firms to produce content efficiently, personalize communication, and optimize marketing performance. However, the dominance of AI-driven content raises concerns regarding declining authenticity, reduced emotional engagement, and weakening brand trust among consumers. In parallel, the emergence of micro-communities has shifted consumer behavior toward trust-based interactions, where authenticity and shared values play central roles in shaping purchasing decisions and brand perceptions. This research adopts a library research approach by systematically reviewing recent scholarly literature indexed in Scopus (2020–2025). The analysis focuses on three key dimensions: artificial intelligence in marketing, authentic branding, and brand equity within social commerce ecosystems. Through qualitative content analysis, this study synthesizes theoretical perspectives and empirical findings to develop an integrated conceptual understanding of the evolving digital marketing landscape. The findings reveal that while AI enhances efficiency and scalability, it cannot fully substitute for authenticity in building long-term brand equity. Authentic branding—characterized by transparency, consistency, and emotional resonance—emerges as a critical determinant of consumer trust and engagement. Furthermore, micro-communities serve as influential platforms that amplify authentic brand narratives and reinforce consumer loyalty. The study highlights the need for a balanced strategy that positions AI as an enabler while maintaining a human-centered approach to marketing. This research contributes to the literature by bridging the gap between technology-driven and human-centric marketing paradigms. It offers practical implications for businesses to integrate AI capabilities with authentic brand values in order to remain competitive and relevant in the evolving digital ecosystem.
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References
Appel, G., Grewal, L., Hadi, R., & Stephen, A. T. (2020). The future of social media in marketing. Journal of the Academy of Marketing Science, 48(1), 79–95. https://doi.org/10.1007/s11747-019-00695-1
Chandra, S., Verma, S., Lim, W. M., Kumar, S., & Donthu, N. (2022). Personalization in personalized marketing: Trends and ways forward. Psychology & Marketing, 39(8), 1529–1562. https://doi.org/10.1002/mar.21670
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M., Al-Busaidi, K. A., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative AI. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
Godey, B., Manthiou, A., Pederzoli, D., Rokka, J., Aiello, G., Donvito, R., & Singh, R. (2020). Social media marketing efforts and brand equity: Evidence from luxury brands. Journal of Business Research, 117, 256–267. https://doi.org/10.1016/j.jbusres.2019.09.014
Hollebeek, L. D., Sprott, D. E., & Brady, M. K. (2022). Building consumer engagement in digital environments: Theoretical and practical insights. Journal of Interactive Marketing, 57, 1–7. https://doi.org/10.1016/j.intmar.2021.10.001
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
Kietzmann, J., Paschen, J., & Treen, E. (2021). Artificial intelligence in advertising: How marketers can leverage AI effectively. Journal of Advertising Research, 61(3), 270–284. https://doi.org/10.2501/JAR-2021-017
Li, F., Larimo, J., & Leonidou, L. C. (2021). Social media marketing strategy: Definition, conceptualization, taxonomy, validation, and future agenda. Journal of the Academy of Marketing Science, 49(1), 51–70. https://doi.org/10.1007/s11747-020-00733-3
Mariani, M., Baggio, R., Fuchs, M., & Höepken, W. (2022). Business intelligence and big data in hospitality and tourism: A systematic literature review. International Journal of Contemporary Hospitality Management, 34(1), 231–252. https://doi.org/10.1108/IJCHM-05-2021-0593





