Factors Influencing Consumers’ Continuous Purchase Intentions on TikTok: An Examination from the Uses and Gratifications (U&G) Theory Perspective
Open accessAbstract
After the COVID-19 pandemic, traditional online shopping with pictures and videos has been transformed into livestreaming shopping. Various apps for livestreaming shopping have gained popularity, and TikTok livestreaming (TTL) accounts for more than half of livestreaming shopping in China. Therefore, consumers’ ability to continue shopping is the core factor for the sustainable development of TTL. The purpose of this study was to explore what kinds of gratifications affect the continuous purchase intentions of TTL consumers and to examine the moderating effect of education level. We collected data from 234 TTL consumers in China and then used a structural equation model to analyze, while SPSS23.0 and AMOS24.0 were applied to evaluate and empirically test the research hypotheses. This study confirmed the significant impact of four kinds of satisfaction on consumers’ continuous shopping intentions and also confirmed the differences among consumers with different levels of education. This provides theoretical support for the sustainable development of e-commerce in the future and the maximization of income from live shopping.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Social presence and enjoyment were more pronounced gratifications in high-educated users than in low-educated users.
“These gratifications varied across different educational levels, whereas social presence and enjoyment were more pronounced gratification in the group of higheducated users than in case of low educated users.”
From Applying Uses and Gratifications Theory to TikTok: A systematic literature review of users' motivations (2025) · cites this paper as Wang and Oh (2023)
These gratifications varied across different educational levels.
“These gratifications varied across different educational levels, whereas social presence and enjoyment were more pronounced gratification in the group of higheducated users than in case of low educated users.”
From Applying Uses and Gratifications Theory to TikTok: A systematic literature review of users' motivations (2025) · cites this paper as Wang and Oh (2023)
Wang and Oh (2023) found that four types of gratification influenced persistent purchasing intent in TikTok livestream shopping: content gratification (information sharing), utilitarian gratification (cost-saving and information seeking), social gratification (social presence), and hedonic gratification (passing time, enjoyment and escapism).
“Their findings showed that four types of gratification had an influence on persistent purchasing intent in livestream shopping: content gratification (information sharing), utilitarian gratification (cost-saving and information seeking), social gratification (social presence), and hedonic gratification (passing time, enjoyment and escapism).”
From Applying Uses and Gratifications Theory to TikTok: A systematic literature review of users' motivations (2025) · cites this paper as Wang and Oh (2023)
Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works
Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions
Ryan, R. M., & Deci, E. L. (2000) · Contemporary Educational Psychology · doi:10.1006/ceps.1999.1020 · Cited by 18,666 · see citing works
Uses and Gratifications Theory in the 21st Century
Ruggiero, T. E. (2000) · Mass Communication and Society · doi:10.1207/s15327825mcs0301_02 · Cited by 2,810 · see citing works
Online social networks: Why do students use facebook?
Cheung, C. M. K., Chiu, P.-Y., & Lee, M. K. O. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.07.028 · Cited by 1,501 · see citing works
Facebook as a toolkit: A uses and gratification approach to unbundling feature use
Smock, A. D., Ellison, N. B., Lampe, C., & Wohn, D. Y. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.07.011 · Cited by 948 · see citing works
On the psychology of TikTok use: a first glimpse from empirical findings
Montag, C., Yang, H., & Elhai, J. D. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.641673 · Cited by 559 · see citing works
Koo, D.-M., & Ju, S.-H. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2009.11.009 · Cited by 444 · see citing works
Utilitarian and hedonic motivations for live streaming shopping
Cai, J., Wohn, D. Y., Mittal, A., & Sureshbabu, D. (2018) · Proceedings of the 2018 ACM International Conference on Interactive Experiences for TV and Online Video · doi:10.1145/3210825.3210837 · Cited by 315 · see citing works
Basch, C. H., Hillyer, G. C., & Jaime, C. (2022) · International Journal of Adolescent Medicine and Health · doi:10.1515/ijamh-2020-0111 · Cited by 244 · see citing works
Scherr, S., & Wang, K. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106893 · Cited by 230 · see citing works
Wu, Y., & Huang, H. (2023) · Sustainability · doi:10.3390/su15054432 · Cited by 201 · see citing works
Hewei, T., & Youngsook, L. (2022) · Entertainment Computing · doi:10.1016/j.entcom.2021.100474 · Cited by 169 · see citing works
Alhabash, S., Chiang, Y.-H., & Huang, K. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.03.033 · Cited by 112 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Krstić, J., & Domazet, I. (2025) · Marketing · doi:10.5937/mkng2504265k
- Authors
- Wang, J., & Oh, J. I.
- Affiliations
- Dankook University (KR)
- Corresponding author
- Oh, Jay In
- ORCID
- Wang, Jing
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2023-06-25
- Volume
- 15
- Issue
- 13
- Pages
- 10028
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W4382138345
- Cited by
- 32
- References
- 13
- Citations by year
- 2026: 13 · 2025: 13 · 2024: 5 · 2023: 1
- FWCI
- 8.20
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Keywords
- uses and gratifications theory, customer satisfaction, educational attainment, moderating effect, e-commerce sustainability, live streaming e-commerce, COVID-19 pandemic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review