Can Data From User-Generated Content on TikTok be Used to Predict Hedonic Customer Purchase Behavior?

Loading...
Thumbnail Image
Penn collection
The Wharton School::Wharton Undergraduate Research::Wharton Research Scholars
Degree type
Discipline
Marketing
Subject
Marketing
Social Media
Funder
Grant number
Copyright date
2022
Distributor
Related resources
Author
Moomal Ahmed
Contributor
Abstract

In recent years, more and more research has been centered around analyzing the impact of communication technologies and new information. The effects on many areas of business strategy have been considered. However, studies on the predictive ability of user-generated content on TikTok remain limited. In this study, I integrate TikTok user content with retail forecasting to advise a simplistic basis for a predictive model that uses TikTok interaction metrics to explore changes in hedonic online purchase behavior, measured through tagged shoppable posts on Instagram. My findings show that engagement in social media brand communities is correlated with hedonic purchases. Additional examinations of marketing and content creation on TikTok provide insight into the usefulness of TikTok as a marketing platform in the apparel industry.

Advisor
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Publication date
2022-05-01
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
Recommended citation
Collection