How AI Influences Buying Loyalty Of Urban Housewives
Keywords:
AI-Driven Digital Marketing, Brand Loyalty, Cultural Intelligence, Algorithmic Transparency, Socioeconomic DisparitiesAbstract
This qualitative study examines the impact of AI-driven digital marketing on brand loyalty and purchase decisions among urban housewives in Jakarta, Indonesia. Against the backdrop of Indonesia’s rapid digital transformation marked by 73% internet penetration and a projected $104 billion e-commerce market, the research addresses critical gaps in understanding how AI tools (e.g., personalized recommendations, chatbots) intersect with cultural values, trust dynamics, and socioeconomic realities. Through phenomenological analysis of 30 in-depth interviews, findings reveal a core paradox: while 87% of participants valued AI’s convenience for streamlining household purchases, this utility coexisted with profound distrust toward data privacy and algorithmic transparency. Culturally, brand loyalty hinged on AI’s ability to embody local customs and hospitality, with polite, context-aware interactions driving 3x higher retention. Socioeconomic disparities further shaped engagement, as lower-income housewives actively limited AI exposure to avoid aspirational alienation. The study concludes by proposing a contextualized AI resonance framework prioritizing transparent intent, cultural humility, and human escalation to align technology with Jakarta’s communal ethos. These insights urge marketers to design culturally grounded AI systems that honor housewives’ dual roles as pragmatic consumers and cultural guardians.
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References
APJII (Asosiasi Penyelenggara Jasa Internet Indonesia). (2023). Survey penetrasi dan perilaku pengguna internet Indonesia 2023 Survey of Indonesian internet user penetration and behavior 2023. https://apjii.or.id
BPS (Badan Pusat Statistik). (2023). Peran perempuan dalam pengambilan keputusan rumah tangga [Women’s role in household decision-making]. https://www.bps.go.id/publication/2023
Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597. https://doi.org/10.1080/2159676X.2019.1628806
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
Giorgi, A. (2021). The phenomenological movement: Implications for scientific research. The Humanistic Psychologist, 49(1), 67–78. https://doi.org/10.1037/hum0000143
Given, L. M. (Ed.). (2020). 100 questions (and answers) about qualitative research. Sage Publications.
Google, Temasek, & Bain & Company. (2023). e-Conomy SEA 2023: Reaching new heights*. https://www.bain.com/insights/e-conomy-sea-2023-reach-new-heights/
Haenlein, M., & Kaplan, A. (2023). Ethical AI in emerging markets: Bridging gaps through inclusive design. Journal of Business Ethics, 185(1), 105–120. https://doi.org/10.1007/s10551-023-05433-w
Kim, Y., & Park, J. (2020). Algorithmic bias and brand trust: A cross-cultural study of female consumers. Journal of Consumer Marketing, 37(5), 567–579. https://doi.org/10.1108/JCM-01-2020-3588
Kurniawati, M., Shankar, A., & Datta, B. (2023). Digital divides and AI adoption: A study of Indonesian women. Technological Forecasting and Social Change, 186, 122–135. https://doi.org/10.1016/j.techfore.2022.122135
Li, X., Chan, K. W., & Kim, S. (2022). Service with AI: How personalization shapes purchase intent in Southeast Asia. Journal of Retailing, 98(2), 267–284. https://doi.org/10.1016/j.jretai.2021.12.003
McKinsey & Company. (2022). Digital consumers of Indonesia, Malaysia, and the Philippines: Building loyalty in a post-pandemic world. https://www.mckinsey.com/featured-insights/asia-pacific/digital-consumers-in-asean
Prentice, C., & Nguyen, M. (2023). Engaging multicultural consumers via AI: The role of cultural intelligence. Journal of International Marketing, 31(1), 78–96. https://doi.org/10.1177/1069031X221145678
Saldaña, J. (2021). The coding manual for qualitative researchers (4th ed.). Sage Publications.
Singh, J., Crisafulli, B., & Quamina, L. T. (2021). ‘Do you trust your algorithm?’ Perceived authenticity in AI-mediated marketing. Psychology & Marketing, 38(10), 1650–1667. https://doi.org/10.1002/mar.21534
Wibowo, A., & Suryani, T. (2021). Chatbot acceptance and customer satisfaction in Indonesia: A uses and gratifications perspective. Journal of Information Systems Engineering and Business Intelligence, 7(1), 88–99. https://doi.org/10.20473/jisebi.7.1.88-99




