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ZENODO
Journal . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
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A STUDY ON CONSUMER SUSCEPTIBILITY IN AI DRIVEN PERSONALIZED RETAILING

Authors: Asst. Prof. Lakhyani S., Singh S., Khemnani D., Angre S. & Deshmukh K.R.;

A STUDY ON CONSUMER SUSCEPTIBILITY IN AI DRIVEN PERSONALIZED RETAILING

Abstract

The rapid growth of AI-driven personalization in Indian e-commerce has fundamentally altered how consumers discover and purchase products online. Platforms such as Amazon, Flipkart, and Myntra increasingly rely on artificial intelligence to deliver targeted recommendations, creating a shifting dynamic between algorithmic influence and consumer decision-making. This study examines consumer susceptibility to AI-driven personalized retailing across four key dimensions: awareness of AI personalization techniques, its influence on buying behaviour the moderating role of data privacy concerns, and the impact of platform trust on long-term engagement and repeat purchase intention. A quantitative, descriptive research approach was adopted, with primary data collected from Indian consumers through a structured online questionnaire. The study finds that AI personalization meaningfully shapes consumer purchasing behaviour, with platform trust emerging as a particularly significant factor. The findings contribute to a growing understanding of how intelligent retail systems influence Indian consumers and carry implications for ethical AI deployment in e-commerce.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green