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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In the citing paper
“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]
Citations
Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,668
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
Social network sites: definition, history, and scholarship
boyd, D. M., & Ellison, N. B. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00393.x · Cited by 16,251
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
Research works printed but not linked: 17
- Bentler P. M., 1989, EQS: Structural equations program manual, version 3.0
- Chen K., 2004, Journal of Computer Information Systems, 44, 85
- Choudrie J., 2006, Journal of Computer Information Systems, 46, 25
- Green D., 2006, Journal of Computer Information Systems, 47, 66
- Hart M., 2004, Journal of Computer Information Systems, 45, 47
- Lenhart A., 2007, Pew Internet & American Life Project
- Lin C., 2006, Journal of Academy of Business, 9, 112
- Lund, A. “Introduction to USE”, Human Factors Ergonomic Society: Communication Technology Group Newsletter , 1999, pp. 10–14.
- Park J., 2007, Journal of Electronic Commerce Research, 8, 196
- Rogers E. M., 1995, Diffusion of Innovations
- Schneberger S., 2007, Journal of Computer Information Systems, 48, 74
- Shim S. J., 2007, Journal of Computer Information Systems, 48, 14
- Stylianou A. C., 2007, Journal of Computer Information Systems, 47, 11
- Tarafdar M., 2007, Journal of Computer Information Systems, 48, 16
- 10.1111/j.1540-5915.1996.tb01822.x · DOI · Paper page
- Yi Y., 2005, Journal of Computer Information Systems, 46, 52
- Zviran M., 2005, Journal of Computer Information Systems, 45, 43
Cited by
Sorted by citations
Online Social Networking and Addiction—A Review of the Psychological Literature
Kuss, D. J., & Griffiths, M. D. (2011) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph8093528 · Cited by 2,038
“Additionally, the results of an online survey with a student convenience sample of 387 participants [53] indicated that several factors significantly predicted the intention to use SNSs as well as their actual usage.”
BackgroundLin, K.-Y., & Lu, H.-P. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.12.009 · Cited by 1,616
The Impact of New Media on Customer Relationships
Hennig‐Thurau, T., Malthouse, E. C., Friege, C., Gensler, S., Lobschat, L., Rangaswamy, A., & Skiera, B. (2010) · Journal of Service Research · doi:10.1177/1094670510375460 · Cited by 1,523
Trust in AI and Its Role in the Acceptance of AI Technologies
Choung, H., David, P., & Ross, A. (2023) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2050543 · Cited by 963
“The role of trust was tested in the use of a new information system (Tung et al., 2008) and different online services, such as online games (Wu & Liu, 2007), banking (Suh & Han, 2002), social network sites (Sledgianowski & Kulviwat, 2009), and shopping (Gefen et al., 2003), among others.”
MethodAichner, T., Grünfelder, M., Maurer, O., & Jegeni, D. (2020) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2020.0134 · Cited by 633
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
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