dc.contributor.advisor | Ahmed, Md. Sabbir | |
dc.contributor.author | Faysal, Md | |
dc.contributor.author | Ahmed, Abu Zawad | |
dc.contributor.author | Sohag, Abdul Karim | |
dc.contributor.author | Maria, Razia Rahman | |
dc.date.accessioned | 2025-01-28T04:46:30Z | |
dc.date.available | 2025-01-28T04:46:30Z | |
dc.date.copyright | ©2024 | |
dc.date.issued | 2024-10 | |
dc.identifier.other | ID 19101504 | |
dc.identifier.other | ID 19301061 | |
dc.identifier.other | ID 23141061 | |
dc.identifier.other | ID 24341113 | |
dc.identifier.uri | http://hdl.handle.net/10361/25276 | |
dc.description | This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. | en_US |
dc.description | Cataloged from PDF version of thesis. | |
dc.description | Includes bibliographical references (pages 54-55). | |
dc.description.abstract | The modern-day rise of social media platforms and their influence on customer
behavior has been a trending topic. It is important for businesses to understand the
connection between young people’s engagement with social media and their online
shopping habits. This research paper aims to provide how engagement with social
media affects an individual’s online purchase decision. This study helps us learn how
social media and influencers have an impact on today’s youth. For this purpose, we
derived 4 sections of online interactions and shopping i.e., General Engagement,
Online Food Purchases, Online Subscription Services, and Online Gaming. The
objective of this research is to understand the online shopping preferences of young
people by statistical analysis of their social media activity, such as likes, engagement,
sharing, and interactions with influencers and followers. Data has been gathered
through conducting a curated survey among the youth and young adults. A total
of 1018 data has been collected for the research through online survey forms which
were utilized for running machine learning models. The outcomes of the study
shed insight into how young people’s online buying habits are influenced by their
use of social media. It also concluded how high social media engagement ensues
high online purchase behavior. Businesses may improve their marketing tactics by
creating more social media-based ad campaigns which will be able to reach more
modern-day youths. Influencers and creators can leverage this study to increase their
reach and capitalize on influencer marketing strategies. Additionally, this research
provides consumers with market information, which will in turn encourage a degree
of caution when faced with social media ads and marketing strategies designed by
businesses. | en_US |
dc.description.statementofresponsibility | Md Faysal | |
dc.description.statementofresponsibility | Abu Zawad Ahmed | |
dc.description.statementofresponsibility | Abdul Karim Sohag | |
dc.description.statementofresponsibility | Razia Rahman Maria | |
dc.format.extent | 55 pages | |
dc.language.iso | en | en_US |
dc.publisher | BRAC University | en_US |
dc.rights | BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
dc.subject | Online shopping | en_US |
dc.subject | Social media | en_US |
dc.subject | Prediction | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Consumer pattern and behaviour | en_US |
dc.subject.lcsh | Shopping--Computer network resources. | |
dc.subject.lcsh | Consumer education. | |
dc.subject.lcsh | Machine learning. | |
dc.title | Exploring the influence of social media engagement on online shopping preferences of youth and young adults: a machine learning approach | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Computer Science and Engineering, BRAC University | |
dc.description.degree | B.Sc. in Computer Science | |