Advanced International Journal for Research

E-ISSN: 3048-7641   •   Impact Factor: 9.11

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 1 (January-February 2026) Submit your research before last 3 days of February to publish your research paper in the issue of January-February.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 1
January-February 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

A Study On The impact of digitalization in Consumer Behaviour

Author(s) Ms. K. Mouneetha
Country India
Abstract The study explores the significant changes in consumer behavior in the current global landscape, particularly in the wake of digital transformation accelerated by the COVID-19 pandemic. This transformation has seen the emergence of new technologies across various fields, significantly impacting marketing practices related to selling, promoting, pricing, and more. By analyzing consumer behavior, we gain insights into personalization, predictive capabilities, and consumer experiences, as well as evolving ethical considerations in purchasing decisions. The collection of consumer behavior data is increasingly facilitated by AI-driven technologies such as machine learning, chatbots, recommendation systems, and predictive analytics. The study emphasizes the necessity for consumers to satisfy their needs and wants effectively, ultimately aiding them in making informed decisions in the crowded online shopping space. Over the past six years, particularly following the COVID-19 period, consumer behavior segmentation in the online market—across geographic, demographic, and psychographic lines—has yielded a vast array of products and a wealth of data regarding consumer preferences. This research aims to elevate marketing strategies by employing the best practices in leveraging these insights to further develop the marketing field.
Keywords Consumer behavior, recommendation, AI-driven, technology transformation, predictive, and forecasting
Published In Volume 7, Issue 1, January-February 2026
Published On 2026-02-17
View / Download PDF File

Share this



E-ISSN 3048-7641
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

AIJFR DOI prefix is
10.63363/aijfr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 7 Isu 1Cover Page Vol 6 Isu 6Cover Page Vol 6 Isu 5

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About AIJFR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-79-39-59 editor@aijfr.com