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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
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
See-To, E. W. K., & Ho, K. K. W. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.10.013 · Cited by 610
Lien, C. H., & Cao, Y. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.08.013 · Cited by 513
“Working out for likes”: An empirical study on social influence in exercise gamification
Hamari, J., & Koivisto, J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.04.018 · Cited by 473
Shiau, W.-L., & Luo, M. M. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.07.030 · Cited by 471
It is not for fun: An examination of social network site usage
Xu, C., Ryan, S. D., Prybutok, V. R., & Wen, C. (2012) · Information & Management · doi:10.1016/j.im.2012.05.001 · Cited by 415
Social Motivations To Use Gamification: An Empirical Study Of Gamifying Exercise
Hamari, J., & Koivisto, J. (2013) · European Conference on Information Systems · Cited by 411
Wu, K., Zhao, Y. C., Zhu, Q., Tan, X., & Zheng, H. (2011) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2011.03.004 · Cited by 399
Muller, E., & Peres, R. (2019) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2018.05.003 · Cited by 334
Influence of Facebook brand-page posts on online engagement
Luarn, P., Lin, Y.-F., & Chiu, Y.-P. (2015) · Online Information Review · doi:10.1108/oir-01-2015-0029 · Cited by 370
An Integrated Model for Customer Online Repurchase Intention
Wen, C., Prybutok, V. R., & Xu, C. (2011) · Journal of Computer Information Systems · doi:10.1080/08874417.2011.11645518 · Cited by 360
Social media adoption: The role of media needs and innovation characteristics
Zolkepli, I. A., & Kamarulzaman, Y. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.10.050 · Cited by 347
Ashraf, A. R., Thongpapanl, N. (., & Auh, S. (2014) · Journal of International Marketing · doi:10.1509/jim.14.0065 · Cited by 318
The effect of flow experience on mobile SNS users' loyalty
Zhou, T., Li, H., & Yong, L. (2010) · Industrial Management & Data Systems · doi:10.1108/02635571011055126 · Cited by 301
Dumpit, D. Z., & Fernandez, C. J. (2017) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-017-0045-2 · Cited by 294
“What do they snapchat about?” Patterns of use in time-limited instant messaging service
Piwek, L., & Joinson, A. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.08.026 · Cited by 281
Wei, P.-S., & Lu, H. (2014) · Internet Research · doi:10.1108/intr-04-2013-0082 · Cited by 278
What determines tourist adoption of smartphone apps?
Gupta, A., Dogra, N., & GEORGE, B. P. (2018) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-02-2017-0013 · Cited by 277
Ifinedo, P. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2015.11.007 · Cited by 273
Intention to Continue Using Facebook Fan Pages from the Perspective of Social Capital Theory
Lin, K., & Lu, H. (2011) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2010.0472 · Cited by 272
Factors influencing the adoption of e-Government services in Mauritius
Lallmahomed, M. Z. I., Lallmahomed, N., & Lallmahomed, G. M. (2017) · Telematics and Informatics · doi:10.1016/j.tele.2017.01.003 · Cited by 272
The push, pull and mooring effects in virtual migration for social networking sites
Chang, I., Liu, C., & Chen, K. (2014) · Information Systems Journal · doi:10.1111/isj.12030 · Cited by 271
Factors influencing continuance intention to use social network sites: The Facebook case
Mouakket, S. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.06.045 · Cited by 268
Factors influencing the continuance intention to the usage of Web 2.0: An empirical study
Chen, S., Yen, D. C., & Hwang, M. I. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2011.12.014 · Cited by 286
Pai, P., & Arnott, D. C. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.06.025 · Cited by 263
A multi-analytical approach to predict the Facebook usage in higher education
Sharma, S. K., Joshi, A., & Sharma, H. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.09.020 · Cited by 269
Ku, Y.-C., Chen, R., & Zhang, H. (2013) · Information & Management · doi:10.1016/j.im.2013.07.011 · Cited by 252
Hess, T. J., McNab, A. L., & Basoglu, K. A. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.1.01 · Cited by 242
Wang, X.-W., Cao, Y.-M., & Park, C. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.07.018 · Cited by 236
Saura, J. R., Soriano, D. R., & Palacios‐Marqués, D. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102331 · Cited by 234
Social influence in technology adoption: taking stock and moving forward
Graf‐Vlachy, L., Buhtz, K., & Konig, A. S. (2018) · Management Review Quarterly · doi:10.1007/s11301-017-0133-3 · Cited by 253
An empirical study on continuance intention of mobile social networking services
Gao, L., & Bai, X. (2014) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-07-2013-0086 · Cited by 246
Liao, C., Liu, C., & Chen, K. (2011) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2011.07.003 · Cited by 228
Trust and distrust on the web: User experiences and website characteristics
Seckler, M., Heinz, S., Forde, S., Tuch, A. N., & Opwis, K. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.11.064 · Cited by 223
Predicting mobile social network acceptance based on mobile value and social influence
Lin, K.-Y., & Lu, H.-P. (2015) · Internet Research · doi:10.1108/intr-01-2014-0018 · Cited by 218
Why people use online social media brand communities
Kaur, P., Dhir, A., Rajala, R., & Dwivedi, Y. K. (2018) · Online Information Review · doi:10.1108/oir-12-2015-0383 · Cited by 198
Emoji, Playfulness, and Brand Engagement on Twitter
McShane, L., Pancer, E., Poole, M., & Deng, Q. (2020) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2020.06.002 · Cited by 197
Exploring Factors Affecting the Adoption of Internet of Things Services
Hsu, C., & Lin, J. C. (2016) · Journal of Computer Information Systems · doi:10.1080/08874417.2016.1186524 · Cited by 194
Akrout, H., & Nagy, G. (2018) · Information & Management · doi:10.1016/j.im.2018.04.009 · Cited by 201
Gratifications and social network service usage: The mediating role of online experience
Huang, L.-Y., Hsieh, Y.-J., & Wu, Y.-C. J. (2014) · Information & Management · doi:10.1016/j.im.2014.05.004 · Cited by 185
Moravec, P. L., Kim, A., & Dennis, A. R. (2018) · Information Systems Research · doi:10.1287/isre.2020.0927 · Cited by 185
Employing the technology acceptance model in social media: A systematic review
Al-Qaysi, N., Nordin, N. M., & Al‐Emran, M. (2020) · Education and Information Technologies · doi:10.1007/s10639-020-10197-1 · Cited by 199
Caers, R., Feyter, T. D., Couck, M., Stough, T., Vigna, C., & Bois, C. D. (2013) · New Media & Society · doi:10.1177/1461444813488061 · Cited by 209
Teenagers in social virtual worlds: Continuous use and purchasing behavior in Habbo Hotel
Mäntymäki, M., & Salo, J. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.06.003 · Cited by 178
Chang, Y. P., & Zhu, D. H. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.04.006 · Cited by 175
Usability perspective on social media sites' adoption in the B2B context
Lacka, E., & Chong, A. Y. (2016) · Industrial Marketing Management · doi:10.1016/j.indmarman.2016.01.001 · Cited by 168
Why Do People Use Artificial Intelligence (AI)-Enabled Voice Assistants?
Malodia, S., Islam, N., Kaur, P., & Dhir, A. (2021) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2021.3117884 · Cited by 176
Web 2.0 Social Networks: The Role of Trust
Grabner‐Kräuter, S. (2009) · Journal of Business Ethics · doi:10.1007/s10551-010-0603-1 · Cited by 167
Sun, Y., Liu, L., Peng, X., Dong, Y., & Barnes, S. J. (2013) · Electronic Markets · doi:10.1007/s12525-013-0131-9 · Cited by 160
Exploring the intention to continue using social networking sites: The case of Facebook
Chang, C., Hung, S., Cheng, M.-J., & Wu, C. (2014) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2014.03.012 · Cited by 164
Wang, Y., Min, Q., & Han, S. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.11.011 · Cited by 157
Abosag, I., Ramadan, Z. B., Baker, T., & Jin, Z. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.03.016 · Cited by 175
Factors propelling the adoption of m-learning among students in higher education
Yeap, J. A. L., Ramayah, T., & Soto‐Acosta, P. (2016) · Electronic Markets · doi:10.1007/s12525-015-0214-x · Cited by 151
Online social network acceptance: a social perspective
Li, D. C. (2011) · Internet Research · doi:10.1108/10662241111176371 · Cited by 152
Poncin, I., Garnier, M., Mimoun, M. S. B., & Leclercq, T. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.01.025 · Cited by 142
Lee, J., Ryu, M. H., & Lee, D. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.01.007 · Cited by 142
Chiu, C., & Huang, H. (2014) · European Journal of Information Systems · doi:10.1057/ejis.2014.9 · Cited by 133
Why mobile users trust smartphone social networking services? A PLS-SEM approach
Chang, S. E., Shen, W.-C., & Liu, A. Y. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2016.04.048 · Cited by 133
User's Willingness to Pay on Social Network Sites
Han, B., & Windsor, J. C. (2011) · Journal of Computer Information Systems · doi:10.1080/08874417.2011.11645499 · Cited by 132
Mimoun, M. S. B., Poncin, I., & Garnier, M. (2016) · Information & Management · doi:10.1016/j.im.2016.11.008 · Cited by 132
Generating travel-related contents through mobile social tourism: Does privacy paradox persist?
Hew, J.-J., Tan, G. W., Lin, B., & Ooi, K. (2017) · Telematics and Informatics · doi:10.1016/j.tele.2017.04.001 · Cited by 132
Classifying, Measuring, and Predicting Users’ Overall Active Behavior on Social Networking Sites
Chen, A., Lu, Y., Chau, P. Y. K., & Gupta, S. (2014) · Journal of Management Information Systems · doi:10.1080/07421222.2014.995557 · Cited by 130
Can we have fun @ work? The role of intrinsic motivation for utilitarian systems
Gerow, J. E., Ayyagari, R., Thatcher, J. B., & Roth, P. L. (2012) · European Journal of Information Systems · doi:10.1057/ejis.2012.25 · Cited by 130
Technologies That Support Marketing and Market Development in SMEs-Evidence from Social Networks
Eggers, F., Hatak, I., Kraus, S., & Niemand, T. (2017) · Journal of Small Business Management · doi:10.1111/jsbm.12313 · Cited by 144
Rezvani, A., Khosravi, P., & Dong, L. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.07.032 · Cited by 129
The Impact of Flow on Online Consumer Behavior
Lee, S. M., & Chen, L. (2010) · Journal of Computer Information Systems · doi:10.1080/08874417.2010.11645425 · Cited by 131
User acceptance of location-based social networking services
Yu, J., Zo, H., Choi, M., & Ciganek, A. P. (2013) · Online Information Review · doi:10.1108/oir-12-2011-0202 · Cited by 127
Continuous usage of social networking sites
Chiang, H. (2013) · Online Information Review · doi:10.1108/oir-08-2012-0133 · Cited by 125
Living a private life in public social networks: An exploration of member self-disclosure
Chen, R. (2013) · Decision Support Systems · doi:10.1016/j.dss.2012.12.003 · Cited by 124
Consumer engagement with retail firms through social media: an empirical study in Chile
Bianchi, C., & Andrews, L. (2018) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-02-2017-0035 · Cited by 122
Mobile social media marketing: a new marketing channel among digital natives in higher education?
Wong, L., Tan, G. W., Hew, J.-J., Ooi, K., & Leong, L.-Y. (2020) · Journal of Marketing for HIGHER EDUCATION · doi:10.1080/08841241.2020.1834486 · Cited by 130
Masood, A., Zhang, Q., Ali, M., Cappiello, G., & Dhir, A. (2022) · Journal of Knowledge Management · doi:10.1108/jkm-11-2021-0880 · Cited by 120
Why do people stick to Facebook web site? A value theory-based view
Yang, H., & Lin, C. (2014) · Information Technology and People · doi:10.1108/itp-11-2012-0130 · Cited by 118
Kim, M. J., Lee, C., & Contractor, N. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.08.046 · Cited by 118
The Means to Justify the End: Combating Cyber Harassment in Social Media
van Laer, T. (2013) · Journal of Business Ethics · doi:10.1007/s10551-013-1806-z · Cited by 118
Purchasing behavior in social virtual worlds: An examination of Habbo Hotel
Mäntymäki, M., & Salo, J. (2013) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2012.12.002 · Cited by 126
Member use of social networking sites — an empirical examination
Chen, R. (2013) · Decision Support Systems · doi:10.1016/j.dss.2012.10.028 · Cited by 124
What does it mean to trust facebook?
Lankton, N. K., & McKnight, D. H. (2011) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/1989098.1989101 · Cited by 117
Shi, S., Chen, Y., & Chow, W. S. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.04.017 · Cited by 116
Ashraf, R. U., Hou, F., & Ahmad, W. (2018) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2018.1519145 · Cited by 115
Does Social Media Matter? Investigating the Effect of Social Media Features on Consumer Attitudes
Arli, D. I. (2017) · Journal of Promotion Management · doi:10.1080/10496491.2017.1297974 · Cited by 109
Han, J. H., & Kim, H.-M. (2019) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2019.100826 · Cited by 111
Creating customer loyalty in online brand communities
Cheng, F.-F., Wu, C.-S., & Chen, Y. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.10.018 · Cited by 122
Naqvi, M. H. A., Jiang, Y., Miao, M., & Naqvi, M. H. (2020) · Cogent Business & Management · doi:10.1080/23311975.2020.1723825 · Cited by 108
Why do young people tag photos on social networking sites? Explaining user intentions
Dhir, A., Kaur, P., & Rajala, R. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.07.004 · Cited by 106
The impact of qualities of social network service on the continuance usage intention
Lee, S., & Kim, B. G. (2017) · Management Decision · doi:10.1108/md-10-2016-0731 · Cited by 115
Online Reviews of Restaurants: Expectation-Confirmation Theory
Lee, J., & Kim, Y. (2020) · Journal of Quality Assurance in Hospitality & Tourism · doi:10.1080/1528008x.2020.1712308 · Cited by 105
Social influence and UTAUT in predicting digital immigrants’ technology use
Joa, C. Y., & Magsamen‐Conrad, K. (2021) · Behaviour and Information Technology · doi:10.1080/0144929x.2021.1892192 · Cited by 104
Osei-Frimpong, K., McLean, G., Islam, N., & Otoo, B. A. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.03.057 · Cited by 100
The Effects of Social Influence on User Acceptance of Online Social Networks
Qin, L., Kim, Y.-B., Hsu, J., & Tan, X. (2011) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2011.555311 · Cited by 100
Li, C.-H., & Chang, C. (2016) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-05-2014-0227 · Cited by 104
Social Media Burnout: Definition, Measurement Instrument, and Why We Care
Han, B. (2016) · Journal of Computer Information Systems · doi:10.1080/08874417.2016.1208064 · Cited by 97
Ozuem, W., Willis, M., Howell, K. E., Lancaster, G., & Ng, R. (2021) · Psychology and Marketing · doi:10.1002/mar.21470 · Cited by 87
Enhancing playful customer experience with personalization
Lambillotte, L., Magrofuoco, N., Poncin, I., & Vanderdonckt, J. M. (2022) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2022.103017 · Cited by 98
Olufadi, Y. (2015) · Telematics and Informatics · doi:10.1016/j.tele.2015.11.002 · Cited by 86
Are government employees adopting local e-government transformation?
Batara, E. B., Nurmandi, A., Warsito, T., & Pribadi, U. (2017) · Transforming Government People Process and Policy · doi:10.1108/tg-09-2017-0056 · Cited by 86
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 ›
Are you an author, or do you see a problem with this page? Request a review