Performance
Vol 33 No 1 (2026): Performance

Silent Resistance in AI-Driven Marketing: A Qualitative Study of Perceived Manipulation

Muhammad Hilmi Labibunnajah (Universitas Selamat Sri)
Ninda Fatmawati (Kyungdong University, Republic of South Korea)
Abdul Ghofur (Universitas Islam Negeri Walisongo, Indonesia)



Article Info

Publish Date
02 Jun 2026

Abstract

This study aims to explore how consumers perceive perceived manipulation in AI-driven marketing and how such perceptions lead to the emergence of silent resistance. This study employs a qualitative research approach to capture in-depth consumer perceptions and experiences in the context of AI-driven marketing. Data were collected through in-depth interviews with purposively selected informants and analysed using thematic analysis to identify patterns, categories, and emerging themes. The findings reveal that while AI-driven personalisation initially enhances consumer convenience, excessive intensity and accuracy of content exposure lead to discomfort and suspicion. Consumers begin to perceive marketing practices as manipulative when they feel their autonomy in decision-making is being subtly influenced. As a response, consumers engage in silent resistance behaviours such as ignoring content, reducing engagement, and gradually avoiding brands or platforms without expressing explicit complaints. This study contributes to the literature by highlighting the role of perceived manipulation as a psychological mechanism that links AI-driven marketing to implicit consumer resistance. Practically, it suggests that companies should balance personalisation with transparency and ethical considerations to avoid triggering negative consumer perceptions and disengagement. This research offers a novel perspective by uncovering silent resistance as an implicit and underexplored consumer response to perceived manipulation in AI-driven marketing through a qualitative approach.

Copyrights © 2026






Journal Info

Abbrev

performance

Publisher

Subject

Education

Description

Performance is our bianually peer-reviewed journal, designed to accommodate research articles in the domain of management science. This journal has been published by Faculty of Economics and Business, Universitas Jenderal Soedirman since 2003. We invite articles in all functional area of management, ...