Consumer Narratives on AI-Based Marketing Personalization Experiences: A Study of Habitus and Social Capital in the Jabodetabek Area

This study aims to explore consumer narratives related to artificial intelligence (AI)-based marketing personalization experiences with a habitus and social capital approach in the Jabodetabek area. The study was conducted using qualitative methods through literature studies and library research to understand the socio-cultural dynamics that influence consumer interactions with AI-based marketing technology. The results of the study indicate that Jabodetabek consumers interpret marketing personalization as a form of innovation that offers convenience and relevance, but is not free from concerns about data privacy. Local habitus influenced by community norms, values, and habits also shape consumer responses to this technology. In addition, social capital, in the form of trust and community networks, plays an important role in determining the acceptance or rejection of AI-based personalization. Consumers who have high trust in relevant brands tend to be more receptive to personalization, while those who feel less transparency in the management of personal data show skepticism. This study also found that cultural relevance and local context are key factors in creating effective and meaningful personalization experiences. Thus, AI-based marketing strategies need to integrate a consumer-focused approach that is personal, ethical, and inclusive of local values. These findings are expected to contribute to the development of more adaptive and sustainable AI-based marketing strategies in the Jabodetabek area and other areas with similar characteristics.

Authors

Institutions

Publication Details

Journal
International Journal of Innovation and Thinking
Published
2025-02-07
DOI
https://doi.org/10.71364/ijit.v2i1.8
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Consumer Narratives on AI-Based Marketing Personalization Experiences: A Study of Habitus and Social Capital in the Jabodetabek Area

Erie Riza Nugraha
International Journal of Innovation and Thinking
Organizational and Employee Performance
article

Consumer Narratives on AI-Based Marketing Personalization Experiences: A Study of Habitus and Social Capital in the Jabodetabek Area

Erie Riza Nugraha
article en

Abstract

This study aims to explore consumer narratives related to artificial intelligence (AI)-based marketing personalization experiences with a habitus and social capital approach in the Jabodetabek area. The study was conducted using qualitative methods through literature studies and library research to understand the socio-cultural dynamics that influence consumer interactions with AI-based marketing technology. The results of the study indicate that Jabodetabek consumers interpret marketing personalization as a form of innovation that offers convenience and relevance, but is not free from concerns about data privacy. Local habitus influenced by community norms, values, and habits also shape consumer responses to this technology. In addition, social capital, in the form of trust and community networks, plays an important role in determining the acceptance or rejection of AI-based personalization. Consumers who have high trust in relevant brands tend to be more receptive to personalization, while those who feel less transparency in the management of personal data show skepticism. This study also found that cultural relevance and local context are key factors in creating effective and meaningful personalization experiences. Thus, AI-based marketing strategies need to integrate a consumer-focused approach that is personal, ethical, and inclusive of local values. These findings are expected to contribute to the development of more adaptive and sustainable AI-based marketing strategies in the Jabodetabek area and other areas with similar characteristics.

International Journal of Innovation and ThinkingVol. 2(1)
Universitas Trisakti (ID)
Openalex Percentile: Top 95%
Organizational and Employee Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.