Content area

Abstract

The widespread adoption of the freemium business model in mobile applications has reshaped digital consumption patterns; however, the factors influencing users' willingness to pay for premium features have remained underexplored. This study applied the expectation–confirmation theory and the technology acceptance model to examine how user sentiments, shaped by perceived value and usability, influenced subscription decisions. Using a dataset of 64,372 user comments from 50 mobile apps across multiple industries—including sports, games, fashion, banking, and e-commerce—this research employed text mining and sentiment analysis to uncover key themes in user feedback. Findings showed that perceived value was the strongest determinant of willingness to pay, with users prioritizing premium features that enhanced functionality and user experience. In addition, app usability and trust emerged as critical factors, particularly in banking and e-commerce—areas in which security concerns influenced decision-making.

Details

Business indexing term
Title
Analyzing Global User Sentiments on Freemium Mobile App Subscriptions: A Text Mining Approach
Author
Çelik, Ahmet Alkan 1 ; Balcıoğlu, Yavuz Selim 1 ; Altındağ, Erkut 1 

 Doğuş University, Turkey 
Volume
17
Issue
1
Pages
1-38
Number of pages
39
Publication year
2025
Publication date
2025
Publisher
IGI Global
Place of publication
Hershey
Country of publication
United States
Publication subject
ISSN
1941-627X
e-ISSN
1941-6288
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Milestone dates
2025-01-01 (pubdate)
ProQuest document ID
3285656470
Document URL
https://www.proquest.com/scholarly-journals/analyzing-global-user-sentiments-on-freemium/docview/3285656470/se-2?accountid=208611
Copyright
© 2025. This work is published under https://creativecommons.org/licenses/by/4.0/ (the "License").  Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2026-01-07
Database
ProQuest One Academic