The DOI matches its Crossref record; 60 of the 61 references it cites were found in a registry or an index.
Using Social Network Sites: The Effects of Playfulness, Critical Mass and Trust in a Hedonic Context
Abstract
The use of Internet social network sites has become an international phenomenon. These websites enable computer-mediated communication between people with common interests such as school, family, and friendship. Popular sites include MySpace and Facebook. Their rapid widespread usage warrants a better understanding. This study contributes to our understanding by empirically investigating factors influencing user adoption of these sites. We introduce the Social Network Site Adoption model to examine the effect of perceptions of normative pressure, playfulness, critical mass, trust, usefulness, and ease of use on usage intention and actual usage of these sites. Structural equation modeling was used to examine the patterns of inter-correlations among the constructs and to empirically test the hypotheses. All the hypothesized determinants have a significant direct effect on intent to use, with perceived playfulness and perceived critical mass the strongest indicators. Intent to use and perceived playfulness have a significant direct effect on actual usage.
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“normative pressure (i.e., the expectations of other people with regards to one’s behavior) had a negative relationship with SNS usage.”
From Online Social Networking and Addiction—A Review of the Psychological Literature (2011) · cites this paper as [53]
In the citing paper
“several factors significantly predicted the intention to use SNSs as well as their actual usage. The identified predictive factors were (i) playfulness (i.e., enjoyment and pleasure), (ii) the critical mass of the users who endorsed the technology, (iii) trust in the site, (iv) perceived ease of use, and (v) perceived usefulness.”
From Online Social Networking and Addiction—A Review of the Psychological Literature (2011) · cites this paper as [53]
In the citing paper
“These results suggest that it is particularly the enjoyment associated with SNS use in a hedonic context (which has some similarities to addictions), as well as the recognition that a critical mass uses SNSs that motivates people to make use of those SNSs themselves [53].”
From Online Social Networking and Addiction—A Review of the Psychological Literature (2011) · cites this paper as [53]
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Metadata
- Authors
- Sledgianowski, D., & Kulviwat, S.
- Affiliations
- Hofstra University (US)
- ORCID
- Sledgianowski, Deb
- Venue
- Journal of Computer Information Systems
- Publisher
- Informa UK Limited
- Published
- 2009-06-01
- Volume
- 49
- Issue
- 4
- Pages
- 74-83
- ISSN
- 0887-4417 (ISSN-L)
- 2380-2057
- OpenAlex
- W2264067869
- Cited by
- 568
- References
- 61
- Citations by year
- 2026: 6 · 2025: 13 · 2024: 12 · 2023: 18 · 2022: 35 · 2021: 28 · 2020: 34 · 2019: 41 · 2018: 46 · 2017: 44 · 2016: 47 · 2015: 47 · 2014: 53 · 2013: 53 · 2012: 36
- FWCI
- 65.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Computer Information Systems (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Decision Sciences › Information Systems and Management › Knowledge Management and Sharing
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- social network sites, technology adoption, playfulness, critical mass, trust, hedonic motivation, perceived usefulness, perceived ease of use, normative pressure, intention to use, actual use, Facebook, MySpace
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 ›
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