An Analysis of Self-Construals, Motivations, Facebook Use, and User Satisfaction
Abstract
Rare studies have focused on how and why people use social networking sites (SNSs) utilizing individual-level variables such as self-construals and social/nonsocial motivations. This study proposes that the self-construal construct provides a good instrument for measuring the relationship between people's understanding of self as a predictor of social computing (Facebook use) and satisfaction. A survey was conducted with students from a large western U.S. university. Results indicate that interdependent self-construal is associated with social-motivations to use SNS, and such motivations lead to satisfaction with SNS use. In contrast, independent self-construal failed to predict SNS use. This finding supports the need to examine the influence of “cultural self” and “social motivations” when interpreting social media use behavior. Suggestions for future research are addressed.
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Social factors are more important motivations for SNS usage than individual factors.
“social factors were more important motivations for SNS usage than individual factors [36].”
From Online Social Networking and Addiction—A Review of the Psychological Literature (2011) · cites this paper as [36]
Interdependent self-construal leads to SNS usage that results in higher levels of satisfaction, relative to independent self-construal.
“interdependent self-construal (i.e., the endorsement of collectivist cultural values), led to SNS usage that in turn resulted in higher levels of satisfaction, relative to independent self-construal”
From Online Social Networking and Addiction—A Review of the Psychological Literature (2011) · cites this paper as [36]
Independent self-construal is not related to motivations for using SNSs.
“The latter were not related to motivations for using SNSs [36].”
From Online Social Networking and Addiction—A Review of the Psychological Literature (2011) · cites this paper as [36]
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- Authors
- Kim, J. H., Kim, M.-S., & Nam, Y.
- Affiliations
- University of Hawaiʻi at Mānoa (US)
- University of Hawaii at Manoa
- University at Buffalo, State University of New York (US)
- Corresponding author
- Kim, Jang Hyun
- Venue
- International Journal of Human–Computer Interaction
- Publisher
- Informa UK Limited
- Published
- 2010-11
- Volume
- 26
- Issue
- 11-12
- Pages
- 1077-1099
- ISSN
- 1044-7318 (ISSN-L)
- 1532-7590
- OpenAlex
- W2042919397
- Cited by
- 200
- References
- 58
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 12 · 2023: 16 · 2022: 11 · 2021: 12 · 2020: 11 · 2019: 9 · 2018: 14 · 2017: 10 · 2016: 25 · 2015: 21 · 2014: 28 · 2013: 11 · 2012: 7
- FWCI
- 14.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Human-Computer Interaction (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
- Keywords
- self-construal, interdependent self-construal, independent self-construal, social networking sites, Facebook use, social motivation, user satisfaction, social computing, cultural self, university students
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.
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