Understanding antecedents of continuance intention in social-networking services

Kim, Byoungsoo

doi:10.1089/cyber.2010.0009

Cited by 201Technology Adoption and User BehaviourInnovative Human-Technology InteractionCustomer Service Quality and Loyalty

Understanding antecedents of continuance intention in social-networking services

Kim, Byoungsoo·2011·Cyberpsychology Behavior and Social Networking

DOI 10.1089/cyber.2010.0009

Open this paper in CoChat — free account

Abstract

Given the extreme advances and large investments in social-networking services (SNS), it has become important to analyze users' decision-making processes in order to understand their continued use of SNS. This study attempted to develop an integrated model that incorporates subjective norm into the expectation-confirmation model. The research model was empirically tested within the context of Cyworld. The analysis revealed that the proposed theoretical model provided an in-depth understanding of user continuance behavior toward SNS. Theoretical and practical implications of this study are discussed.

Integrity signals

Registry

Crossref · 10.1089/cyber.2010.0009

Cites

44 of 44 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

People who interact through system on the web form a positive perspective and higher behavior intention to use it.
“In recent literature, it was concluded that a positive perspective is formed by people who interact through system on the web and higher behavior intention is also formed to use it [78].”
From Integrated Three Theories to Develop a Model of Factors Affecting Students' Academic Performance in Higher Education (2019) · cites this paper as [78]
A particular person who likes using social media will consider involvement with that system absolutely and develop better behavioural social media utilize.
“Some scholars observed particular person who like using social media will consider involvement with that system absolutely and develop better behavioural social media utilize [78].”
From Integrated Three Theories to Develop a Model of Factors Affecting Students' Academic Performance in Higher Education (2019) · cites this paper as [78]
TPB is a highly robust theory that has consistently demonstrated that attitude, subjective norms, and PBC are related to various forms of SNSs behaviors.
“This is because TPB is a highly robust theory that has consistently demonstrated that three factorsattitude, subjective norms, and PBCare related to various forms of SNSs behaviors (Kim, 2011;Lin & Lu, 2011).”
From Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults (2017) · cites this paper as Kim, 2011
Past research has shown that interpersonal influence is associated with individuals' continuous intention of using SNSs.
“When one's own social group propagates using SNSs, individuals are likely to mirror the behaviorpast research has shown that interpersonal influence are associated with individuals' continuous intention of using SNSs (Kim, 2011).”
From Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults (2017) · cites this paper as Kim, 2011

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314 · see citing works
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190 · see citing works
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 · see citing works
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 · see citing works
Diffusion of Innovations 1
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,557 · see citing works
Untitled work
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737 · see citing works
Multivariate Data Analysis.
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2344428 · Cited by 35,801 · see citing works
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 · see citing works
A Theory of Cognitive Dissonance
Festinger, L. (1957) · doi:10.1515/9781503620766 · Cited by 24,241 · see citing works
Diffusion of innovations
Valente, T. W. (2003) · Genetics in Medicine · doi:10.1097/01.gim.0000061743.67794.c4 · Cited by 20,555 · see citing works
Multivariate Data Analysis
Einax, J. W., Zwanziger, H. W., & Geiß, S. (1997) · Wiley eBooks · doi:10.1002/352760216x.ch5 · Cited by 18,779 · see citing works
A Theory of Cognitive Dissonance
Morvan, C., & O’Connor, A. (2017) · Macat Library eBooks · doi:10.4324/9781912282432 · Cited by 18,284 · see citing works
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 · see citing works
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767 · see citing works
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace <sup>1</sup>
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231 · see citing works
Effects of externally mediated rewards on intrinsic motivation.
Deci, E. L. (1971) · Journal of Personality and Social Psychology · doi:10.1037/h0030644 · Cited by 4,170 · see citing works
Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs1
Karahanna, E., Straub, D. W., & Chervany, N. L. (1999) · MIS Quarterly · doi:10.2307/249751 · Cited by 3,709 · see citing works
Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication
Adams, D. A., Nelson, R. R., & Todd, P. A. (1992) · MIS Quarterly · doi:10.2307/249577 · Cited by 3,084 · see citing works
Evaluation of goodness-of-fit indices for structural equation models.
Mulaik, S. A., James, L. R., Alstine, J. V., Bennett, N., Lind, S., & Stilwell, C. D. (1989) · Psychological Bulletin · doi:10.1037/0033-2909.105.3.430 · Cited by 2,927 · see citing works
Optimal Experience
Csíkszentmihályi, M., & Csikszentmihalyi, I. S. (1988) · Cambridge University Press eBooks · doi:10.1017/cbo9780511621956 · Cited by 2,335 · see citing works
Assessing the Dimensionality and Structure of the Consumption Experience: Evaluation, Feeling, and Satisfaction
Mano, H., & Oliver, R. L. (1993) · Journal of Consumer Research · doi:10.1086/209361 · Cited by 1,973 · see citing works
A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction
Bolton, R. N. (1998) · Marketing Science · doi:10.1287/mksc.17.1.45 · Cited by 1,948 · see citing works
Being Immersed in Social Networking Environment: Facebook Groups, Uses and Gratifications, and Social Outcomes
Park, N., Kee, K. F., & Valenzuela, S. (2009) · CyberPsychology & Behavior · doi:10.1089/cpb.2009.0003 · Cited by 1,624 · see citing works
Model of Adoption of Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle1
Brown, S. A., & Venkatesh, V. (2005) · MIS Quarterly · doi:10.2307/25148690 · Cited by 1,615 · see citing works
Service Quality: Insights and Managerial Implications from the Frontier
Rust, R. T., & Oliver, R. L. (1994) · Sage eBooks · doi:10.4135/9781452229102.n1 · Cited by 1,530 · see citing works
Information technology acceptance by individual professionals: a model comparison approach
Chau, P. Y. K., & Hu, P. J. (2001) · Decision Sciences · doi:10.1111/j.1540-5915.2001.tb00978.x · Cited by 1,409 · see citing works
A Longitudinal Investigation of Personal Computers in Homes: Adoption Determinants and Emerging Challenges1
Venkatesh, V., & Brown, S. A. (2001) · MIS Quarterly · doi:10.2307/3250959 · Cited by 1,400 · see citing works
Expectations and Norms in Models of Consumer Satisfaction
Cadotte, E. R., Woodruff, R. B., & Jenkins, R. L. (1987) · Journal of Marketing Research · doi:10.2307/3151641 · Cited by 1,169 · see citing works
Monte Carlo Evaluations of Goodness of Fit Indices for Structural Equation Models
GERBING, D. W., & ANDERSON, J. C. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002002 · Cited by 1,046 · see citing works
Informational and Normative Social Influence in Buyer Behavior
Burnkrant, R. E., & Cousineau, A. (1975) · Journal of Consumer Research · doi:10.1086/208633 · Cited by 967 · see citing works
Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet
Hong, S., Thong, J. Y. L., & Tam, K. Y. (2006) · Decision Support Systems · doi:10.1016/j.dss.2006.03.009 · Cited by 955 · see citing works
Cognitive determinants of emotion: A structural theory.
Roseman, I. J. (1984) · Cited by 902 · see citing works
Intrinsic motivation, extrinsic reinforcement, and inequity.
Deci, E. L. (1972) · Journal of Personality and Social Psychology · doi:10.1037/h0032355 · Cited by 888 · see citing works
A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior
Hsu, M.-H., Yen, C.-H., Chiu, C.-M., & Chang, C.-M. (2006) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.04.004 · Cited by 490 · see citing works
The Theory of Planned Behavior Applied to Young People's Use of Social Networking Web Sites
Pelling, E. L., & White, K. M. (2009) · CyberPsychology & Behavior · doi:10.1089/cpb.2009.0109 · Cited by 474 · see citing works
Predicting electronic service continuance with a decomposed theory of planned behaviour
Hsu, M., & Chiu, C. (2004) · Behaviour and Information Technology · doi:10.1080/01449290410001669969 · Cited by 419 · see citing works
Cultural differences in the online behavior of consumers
Chau, P. Y. K., Cole, M., Massey, A. P., Montoya‐Weiss, M. M., & O’Keefe, R. M. (2002) · Communications of the ACM · doi:10.1145/570907.570911 · Cited by 344 · see citing works
Culture-Technology Fit: Effects of Cultural Characteristics on the Post-Adoption Beliefs of Mobile Internet Users
Lee, I., Choi, B., Kim, J., & Hong, S. (2007) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415110401 · Cited by 325 · see citing works
Individual and network influences on the adoption and perceived outcomes of electronic messaging
Rice, R. E., Grant, A. E., Schmitz, J., & Torobin, J. (1990) · Social Networks · doi:10.1016/0378-8733(90)90021-z · Cited by 314 · see citing works
Understanding Behavioral Intention to Participate in Virtual Communities
Lin, H. (2006) · CyberPsychology & Behavior · doi:10.1089/cpb.2006.9.540 · Cited by 255 · see citing works
User behaviors toward mobile data services: The role of perceived fee and prior experience
Kim, B., Choi, M., & Han, I. (2008) · Expert Systems with Applications · doi:10.1016/j.eswa.2008.10.063 · Cited by 190 · see citing works
What Drives the Adoption of Mobile Data Services? An Approach from a Value Perspective
Kim, B., & Han, I. (2009) · Journal of Information Technology · doi:10.1057/jit.2008.28 · Cited by 161 · see citing works
Review of Personality and Social Psychology: Emotions, Relationships, and Health.
Rutgers, R. C. (1986) · Contemporary Psychology · doi:10.1037/024447 · Cited by 143 · see citing works
The role of trust belief and its antecedents in a community‐driven knowledge environment
Kim, B., & Han, I. (2009) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21041 · Cited by 93 · see citing works

Flagged first, then by citations

Sorted by citations

Understanding the MOOCs continuance: The role of openness and reputation
Alraimi, K. M., Zo, H., & Ciganek, A. P. (2014) · Computers & Education · doi:10.1016/j.compedu.2014.08.006 · Cited by 688 · see citing works
Integrating Technology Acceptance Model With Innovation Diffusion Theory: An Empirical Investigation on Students’ Intention to Use E-Learning Systems
Al-Rahmi, W. M., Yahaya, N., Aldraiweesh, A. A., Alamri, M. M., Aljarboa, N. A., Alturki, U., & Aljeraiwi, A. A. (2019) · IEEE Access · doi:10.1109/access.2019.2899368 · Cited by 435 · see citing works
The role of perceived social capital and flow experience in building users’ continuance intention to social networking sites in China
Chang, Y. P., & Zhu, D. H. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.01.001 · Cited by 371 · see citing works
Why men and women continue to use social networking sites: The role of gender differences
Krasnova, H., Veltri, N. F., Eling, N., & Buxmann, P. (2017) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2017.01.004 · Cited by 341 · see citing works
Applying uses and gratifications theory and social influence processes to understand students’ pervasive adoption of social networking sites: Perspectives from the Americas
Ifinedo, P. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2015.11.007 · Cited by 273 · see citing works
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 · see citing works
Why do users continue using social networking sites? An exploratory study of members in the United States and Taiwan
Ku, Y.-C., Chen, R., & Zhang, H. (2013) · Information & Management · doi:10.1016/j.im.2013.07.011 · Cited by 252 · see citing works
Is TripAdvisor still relevant? The influence of review credibility, review usefulness, and ease of use on consumers’ continuance intention
Filieri, R., Açikgöz, F., Ndou, V., & Dwivedi, Y. K. (2020) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-05-2020-0402 · Cited by 283 · see citing works
Understanding factors affecting users’ social networking site continuance: A gender difference perspective
Lin, X., Featherman, M. S., & Sarker, S. (2016) · Information & Management · doi:10.1016/j.im.2016.09.004 · Cited by 239 · see citing works
Digital Communication: Information and Communication Technology (ICT) Usage for Education Sustainability
Al-Rahmi, W. M., Alzahrani, A. I., Yahaya, N., Alalwan, N., & Kamin, Y. (2020) · Sustainability · doi:10.3390/su12125052 · Cited by 220 · see citing works
A model of using social media for collaborative learning to enhance learners’ performance on learning
Al-Rahmi, W. M., & Zeki, A. M. (2017) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2016.09.002 · Cited by 214 · see citing works
Predicting selfie-posting behavior on social networking sites: An extension of theory of planned behavior
Kim, E., Lee, J., Sung, Y., & Choi, S. M. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.03.078 · Cited by 205 · see citing works
A meta-analysis of the quantitative studies in continuance intention to use an information system
Franque, F. B., Oliveira, T., Tam, C., & Santini, F. D. O. (2020) · Internet Research · doi:10.1108/intr-03-2019-0103 · Cited by 204 · see citing works
Why do people purchase virtual goods? A uses and gratification (U&G) theory perspective
Kaur, P., Dhir, A., Chen, S., Malibari, A., & Almotairi, M. (2020) · Telematics and Informatics · doi:10.1016/j.tele.2020.101376 · Cited by 163 · see citing works
A review of social networking service (SNS) research in communication journals from 2006 to 2011
Zhang, Y., & Leung, L. W. (2014) · New Media & Society · doi:10.1177/1461444813520477 · Cited by 161 · see citing works
Factors influencing consumer intention in social commerce adoption.
Akman, I., & Mishra, A. (2017) · Information Technology & People · doi:10.1108/itp-01-2016-0006 · Cited by 158 · see citing works
Understanding the effect of the discrepancy between sought and obtained gratification on social networking site users’ satisfaction and continuance intention
Bae, M. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2017.10.026 · Cited by 157 · see citing works
Understanding Chinese users’ continuance intention toward online social networks: an integrative theoretical model
Sun, Y., Liu, L., Peng, X., Dong, Y., & Barnes, S. J. (2013) · Electronic Markets · doi:10.1007/s12525-013-0131-9 · Cited by 160 · see citing works
Task-Technology Fit and Technology Acceptance Model Application to Structure and Evaluate the Adoption of Social Media in Academia
Al-Maatouk, Q., Othman, M. S., Aldraiweesh, A., Alturki, U., Al-Rahmi, W. M., & Aljeraiwi, A. A. (2020) · IEEE Access · doi:10.1109/access.2020.2990420 · Cited by 177 · see citing works
Information and Communications Technology Used in Higher Education: An Empirical Study on Digital Learning as Sustainability
Sayaf, A. M., Alamri, M. M., Alqahtani, M. A., & Al-Rahmi, W. M. (2021) · Sustainability · doi:10.3390/su13137074 · Cited by 169 · see citing works
The Role of Social Media for Collaborative Learning to Improve Academic Performance of Students and Researchers in Malaysian Higher Education
Al-Rahmi, W. M., Othman, M. S., & Yusuf, L. M. (2015) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v16i4.2326 · Cited by 146 · see citing works
The role of aesthetic, cultural, utilitarian and branding factors in young Chinese consumers' repurchase intention of smartphone brands
Filieri, R., & Lin, Z. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.09.057 · Cited by 156 · see citing works
Integrated Three Theories to Develop a Model of Factors Affecting Students' Academic Performance in Higher Education
Alalwan, N., Al-Rahmi, W. M., Alfarraj, O., Alzahrani, A., Yahaya, N., & Al-Rahmi, A. M. (2019) · IEEE Access · doi:10.1109/access.2019.2928142 · Cited by 141 · see citing works
The diffusion of mobile data services and applications: Exploring the role of habit and its antecedents
Kim, B. (2012) · Telecommunications Policy · doi:10.1016/j.telpol.2011.11.011 · Cited by 133 · see citing works
Self-citation
Integrating Technology Readiness into the Expectation–Confirmation Model: An Empirical Study of Mobile Services
Chen, S.-C., Liu, M.-L., & Lin, C.-P. (2013) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2012.0606 · Cited by 127 · see citing works
A meta-analysis of IT continuance: An evaluation of the expectation-confirmation model
Ambalov, I. A. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2018.03.016 · Cited by 131 · see citing works
Using online food delivery applications during the COVID-19 lockdown period: What drives University Students’ satisfaction and loyalty?
Pal, D., Funilkul, S., Eamsinvattana, W., & Siyal, S. (2021) · Journal of Foodservice Business Research · doi:10.1080/15378020.2021.1964419 · Cited by 123 · see citing works
Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults
Ho, S. S., Lwin, M. O., & Lee, E. W. J. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.06.002 · Cited by 117 · see citing works
Tug of war between social self-regulation and habit: Explaining the experience of momentary social media addiction symptoms
Osatuyi, B., & Turel, O. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.03.037 · Cited by 118 · see citing works
Users' continued participation behavior in social Q&A communities: A motivation perspective
Fang, C., & Zhang, J. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.10.036 · Cited by 111 · see citing works
An empirical study on factors affecting continuance intention of using Facebook
Basak, E., & Çalışır, F. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.01.055 · Cited by 110 · see citing works
Facebook Use by Persons with Disabilities
Shpigelman, C., & Gill, C. (2014) · Journal of Computer-Mediated Communication · doi:10.1111/jcc4.12059 · Cited by 107 · see citing works
User satisfaction with battery electric vehicles in South Korea
Kwon, Y., Son, S., & Jang, K. (2020) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2020.102306 · Cited by 92 · see citing works
Exploring the continuance intention of social networking websites: an empirical research
Hsu, C., Yu, C.-C., & Wu, C. (2013) · Information Systems and e-Business Management · doi:10.1007/s10257-013-0214-3 · Cited by 99 · see citing works
Information Technology Continuance Intention
Nabavi, A., Taghavifard, M. T., Hanafizadeh, P., & Taghva, M. R. (2016) · International Journal of E-Business Research · doi:10.4018/ijebr.2016010104 · Cited by 96 · see citing works
Do E-wallets trigger impulse purchases? An analysis of Malaysian Gen-Y and Gen-Z consumers
Lee, Y. Y., Gan, C. L., & Liew, T. W. (2022) · Journal of Marketing Analytics · doi:10.1057/s41270-022-00164-9 · Cited by 135 · see citing works
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 · see citing works
Understanding the Determinants of Consumers' Switching Intentions in a Standards War
Lin, T., & Huang, S. (2014) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415190105 · Cited by 97 · see citing works
Show your best self(ie): An exploratory study on selfie-related motivations and behavior in emerging adulthood
de Vaate, N. A. J. D. B., Veldhuis, J., Alleva, J. M., Konijn, E. A., & van Hugten, C. H. M. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2018.03.010 · Cited by 88 · see citing works
Investigating user switching intention for mobile instant messaging application: Taking WeChat as an example
Peng, X., Zhao, Y. C., & Zhu, Q. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.06.054 · Cited by 85 · see citing works
The effects of personalization on user continuance in social networking sites
Park, J.-H. (2014) · Information Processing & Management · doi:10.1016/j.ipm.2014.02.002 · Cited by 81 · see citing works
The role of attachment style in building social capital from a social networking site: The interplay of anxiety and avoidance
Lee, D. Y. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.01.012 · Cited by 80 · see citing works
Understanding Continuance Use in Social Networking Services
Yoon, C., & Rolland, É. (2015) · Journal of Computer Information Systems · doi:10.1080/08874417.2015.11645751 · Cited by 73 · see citing works
Benevolence trust: a key determinant of user continuance use of online social networks
Wu, C., Huang, Y., & Hsu, C. (2013) · Information Systems and e-Business Management · doi:10.1007/s10257-013-0216-1 · Cited by 74 · see citing works
The future of online social networks (OSN): A measurement analysis using social media tools and application
Penni, J. (2016) · Telematics and Informatics · doi:10.1016/j.tele.2016.10.009 · Cited by 70 · see citing works
The importance of enhancing, maintaining and saving face in smartphone repurchase intentions of Chinese early adopters
Filieri, R., Chen, W., & Dey, B. L. (2017) · Information Technology and People · doi:10.1108/itp-09-2015-0230 · Cited by 70 · see citing works
An Integrated Model of Continuous Intention to Use of Google Classroom
Al-Maroof, R. S., & Salloum, S. A. (2020) · Studies in systems, decision and control · doi:10.1007/978-3-030-47411-9_18 · Cited by 68 · see citing works
Students’ continuance intention to use MOOCs: empirical evidence from India
Rekha, I. S., Shetty, J., & Basri, S. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11308-w · Cited by 64 · see citing works
Forecasting the continuance intention of social networking sites: Assessing privacy risk and usefulness of technology
Yin, F.-S., Liu, M.-L., & Lin, C. (2015) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.07.019 · Cited by 64 · see citing works
Leveraging Social Capital of Individuals with Intellectual Disabilities through Participation on Facebook
Shpigelman, C. (2016) · Journal of Applied Research in Intellectual Disabilities · doi:10.1111/jar.12321 · Cited by 65 · see citing works
Members' site use continuance on Facebook: Examining the role of relational capital
Chen, R., Sharma, S. K., & Raghav Rao, H. (2016) · Decision Support Systems · doi:10.1016/j.dss.2016.07.001 · Cited by 63 · see citing works
Integrating the Role of UTAUT and TTF Model to Evaluate Social Media Use for Teaching and Learning in Higher Education
Al-Rahmi, A. M., Shamsuddin, A., Wahab, E., Al-Rahmi, W. M., Alturki, U., Aldraiweesh, A., & Almutairy, S. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.905968 · Cited by 76 · see citing works
Continued usage intention of multifunctional friend networking services: A test of a dual-process model using Facebook
Gwebu, K. L., Wang, J., & Guo, L. (2014) · Decision Support Systems · doi:10.1016/j.dss.2014.08.004 · Cited by 60 · see citing works
The role of personality traits in motivating users' continuance intention towards Facebook: Gender differences
Mouakket, S. (2017) · The Journal of High Technology Management Research · doi:10.1016/j.hitech.2016.10.003 · Cited by 64 · see citing works
The Online Fear of Missing Out Inventory (ON-FoMO): Development and Validation of a New Tool
Sette, C. P., Lima, N. R. S., Queluz, F. N. F. R., Ferrari, B., & Filho, N. H. (2019) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-019-00110-0 · Cited by 93 · see citing works
Envy on social media: The good, the bad and the ugly
Wu, J., & Srite, M. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102255 · Cited by 58 · see citing works
Understanding continuance intention of enterprise resource planning (ERP): TOE, TAM, and IS success model
Jo, H., & Bang, Y. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e21019 · Cited by 74 · see citing works
Relational affordances of information processing on Facebook
Koroleva, K., & Kane, G. C. (2016) · Information & Management · doi:10.1016/j.im.2016.11.007 · Cited by 57 · see citing works
The role of satisfaction on customer reuse to airline services: An application of Big Data approaches
Park, E. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.01.004 · Cited by 56 · see citing works
Effect of Engagement and Collaborative Learning on Satisfaction Through the use of Social Media on Malaysian Higher Education
Al-Rahmi, W. M., Othman, M. S., & Yusuf, L. M. (2015) · Research Journal of Applied Sciences, Engineering and Technology · doi:10.19026/rjaset.9.2608 · Cited by 55 · see citing works
Using Social Media for Research: The Role of Interactivity, Collaborative Learning, and Engagement on the Performance of Students in Malaysian Post-Secondary Institutes
Al-Rahmi, W. M., Othman, M. S., & Yusuf, L. M. (2015) · Mediterranean Journal of Social Sciences · doi:10.5901/mjss.2015.v6n5s2p536 · Cited by 54 · see citing works
Understanding the Intention of Using Mobile Social Networking Apps Across Cultures
Qin, L., Kim, Y.-B., & Tan, X. (2018) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2018.1428262 · Cited by 53 · see citing works
Instrumental Usability and Effective User Experience: Interwoven Drivers and Outcomes of Human-Computer Interaction
Kivijärvi, H., & Pärnänen, K. (2021) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2021.2016236 · Cited by 55 · see citing works
The distinct roles of dedication-based and constraint-based mechanisms in social networking sites
Kim, B., & Min, J.-Y. (2015) · Internet Research · doi:10.1108/intr-11-2013-0253 · Cited by 49 · see citing works
Cynicism as strength: Privacy cynicism, satisfaction and trust among social media users
Khan, M. I., Loh, J. M. I., Hossain, A., & Talukder, M. J. H. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107638 · Cited by 49 · see citing works
Exploring associations between young adults’ facebook use and psychological well-being: A goal hierarchy approach
Jung, Y., Pawlowski, S. D., & Kim, H. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.10.005 · Cited by 49 · see citing works
Cyberbullying impacts on victims’ satisfaction with information and communication technologies: The role of Perceived Cyberbullying Severity
Camacho, S., Hassanein, K., & Head, M. M. (2017) · Information & Management · doi:10.1016/j.im.2017.11.004 · Cited by 46 · see citing works
Determinants of Postadoption Behaviors of Mobile Communications Applications: A Dual-Model Perspective
Kim, B., Kang, M., & Jo, H. (2014) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2014.888501 · Cited by 45 · see citing works
Examining the influential factors for continued social media use
Liu, Q., Shao, Z., Tang, J., & Fan, W. (2019) · Industrial Management & Data Systems · doi:10.1108/imds-05-2018-0221 · Cited by 45 · see citing works
The bittersweet escape to information technology: An investigation of the stress paradox of social network sites
Cheikh‐Ammar, M. (2020) · Information & Management · doi:10.1016/j.im.2020.103368 · Cited by 44 · see citing works
Facebook/Meta usage in higher education: A deep learning-based dual-stage SEM-ANN analysis
Akgül, Y., & Uymaz, A. O. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11012-9 · Cited by 44 · see citing works
Influences of subjective norms on teachers’ intention to use social media in working
Tran, H. T. T., Nga, N. T., & Tang, T. T. (2022) · Contemporary Educational Technology · doi:10.30935/cedtech/12659 · Cited by 43 · see citing works
Enabling and Inhibiting Factors of the Continuous Use of Mobile Short Video APP: Satisfaction and Fatigue as Mediating Variables Respectively
Huang, L., Dong, X., Yuan, H., & Wang, L. (2023) · Psychology Research and Behavior Management · doi:10.2147/prbm.s411337 · Cited by 39 · see citing works
Understanding Member Use of Social Networking Sites: A Value Analysis
Chen, R., & SHARMA, S. K. (2013) · Communications of the Association for Information Systems · doi:10.17705/1cais.03306 · Cited by 40 · see citing works
Factors Affecting the Adoption of Social Media as a Business Platform: A Study among Student Entrepreneurs in Malaysia
Nawi, N. C., Mamun, A. A., Nasir, N. A. M., & Muniady, R. (2019) · Vision The Journal of Business Perspective · doi:10.1177/0972262918821200 · Cited by 39 · see citing works
Understanding consumers’ continuance intention to watch streams: A value-based continuance intention model
Jia, X., Pang, Y., Huang, B., & Hou, F. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1073301 · Cited by 38 · see citing works
Should I stay or should I go? The moderating effect of self-image congruity and trust on social networking continued use
Kourouthanassis, P. E., Lekakos, G. D., & Gerakis, V. (2014) · Behaviour and Information Technology · doi:10.1080/0144929x.2014.948489 · Cited by 38 · see citing works
The Influence of Social Presence, Social Exchange and Feedback Features on SNS Continuous Use
Cheikh‐Ammar, M., & Barki, H. (2016) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.2016040103 · Cited by 38 · see citing works
Adaptation and validation of the Online-Fear of Missing Out Inventory into Turkish and the association with social media addiction, smartphone addiction, and life satisfaction
Bakioğlu, F., Deniz, M., Griffiths, M. D., & Pakpour, A. H. (2022) · BMC Psychology · doi:10.1186/s40359-022-00856-y · Cited by 36 · see citing works
An expectation confirmation perspective of medical tourism
Chou, S. Y., Kiser, A. I. T., & Rodriguez, E. L. (2012) · Journal of Service Science Research · doi:10.1007/s12927-012-0012-3 · Cited by 37 · see citing works
Understanding mobile users' information adoption behaviour: an extension of the information adoption model
Elwalda, A., Erkan, İ., Rahman, M., & Zeren, D. (2021) · Journal of Enterprise Information Management · doi:10.1108/jeim-04-2020-0129 · Cited by 44 · see citing works
Evaluating the Impact of Information System Quality on Continuance Intention Toward Cloud Financial Information System
Li, Y., & Wang, J. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.713353 · Cited by 54 · see citing works
Understanding Key Factors of Users' Intentions to Repurchase and Recommend Digital Items in Social Virtual Worlds
Kim, B. (2012) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2012.0128 · Cited by 35 · see citing works
Factors Influencing the Continuance Use of Mobile Social Media: The effect of Privacy Concerns
Ofori, K. S., Larbi-Siaw, O., Fianu, E., Gladjah, R. E., & Yeboah-Boateng, E. O. (2016) · Journal of Cyber Security and Mobility · doi:10.13052/jcsm2245-1439.426 · Cited by 35 · see citing works
User's Segmentation on Continued Knowledge Management System Use in the Public Sector
Huang, C. (2019) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.2020010102 · Cited by 34 · see citing works
The Role of Utilitarian and Hedonic Values on Users' Continued Usage and Purchase Intention in a Social Commerce Environment
Chen, W.-K., Chang, D., & Chen, C.-C. (2017) · Cited by 33 · see citing works
Explaining the emergence of hedonic motivations in enterprise social networks and their impact on sustainable user engagement
Meske, C., Junglas, I. A., & Stieglitz, S. (2019) · Journal of Enterprise Information Management · doi:10.1108/jeim-08-2018-0177 · Cited by 34 · see citing works
An investigation of technology trust and habit in IT use continuance: a study of a social network
Ambalov, I. A. (2021) · Journal of Systems and Information Technology · doi:10.1108/jsit-05-2019-0096 · Cited by 33 · see citing works
Antecedents of Continuance Intention of Social Networking Services (SNS): Utilitarian, Hedonic, and Social Contexts
Jo, H. (2022) · Mobile Information Systems · doi:10.1155/2022/7904124 · Cited by 31 · see citing works
Online Social Networking Sites Continuance Intention: A Model Comparison Approach
Li, Y., & Wang, X. (2016) · Journal of Computer Information Systems · doi:10.1080/08874417.2016.1183448 · Cited by 31 · see citing works
Predicting customers’ intentions to check in on Facebook while patronizing hospitality firms
Wang, H. (2015) · Service Business · doi:10.1007/s11628-014-0265-7 · Cited by 31 · see citing works
Using Social Influence Processes and Psychological Factors to Measure Pervasive Adoption of Social Networking Sites: Evidence from Pakistan
Yushi, J., Naqvi, M. H. A., & Naqvi, M. H. (2017) · Emerging Markets Finance and Trade · doi:10.1080/1540496x.2017.1417834 · Cited by 32 · see citing works
Active users’ knowledge-sharing continuance on social Q&A sites: motivators and hygiene factors
Kang, M. (2018) · Aslib Journal of Information Management · doi:10.1108/ajim-09-2017-0207 · Cited by 29 · see citing works
Understanding link sharing tools continuance behavior in social media
Sun, J., Sheng, D., Gu, D., Du, J. T., & Min, C. (2017) · Online Information Review · doi:10.1108/oir-08-2015-0261 · Cited by 28 · see citing works
The Effects of Group Size and Time on the Formation of Online Communities: Evidence From Reddit
Panek, E. T., Hollenbach, C., Yang, J., & Rhodes, T. (2018) · Social Media + Society · doi:10.1177/2056305118815908 · Cited by 28 · see citing works
Examining factors that influence information disclosure on social network sites from the perspective of network externalities
Mouakket, S., & Sun, Y. (2019) · Industrial Management & Data Systems · doi:10.1108/imds-02-2018-0060 · Cited by 28 · see citing works
Facebook Users’ Satisfaction and Intention to Continue Using It: Applying the Expectation Confirmation Model
Khan, M. I., & Saleh, A. (2022) · Social Science Computer Review · doi:10.1177/08944393211066584 · Cited by 27 · see citing works
Assessing Determinants of Continuance Intention Toward Cryptocurrency Usage: Extending Expectation Confirmation Model With Technology Readiness
Hariguna, T., Ruangkanjanases, A., Madon, B. B., & Alfawaz, K. M. (2023) · SAGE Open · doi:10.1177/21582440231160439 · Cited by 36 · see citing works
Exploring User Behavioral Intentions and Their Relationship With AI Design Tools: A Future Outlook on Intelligent Design
Hui, M., & Li, N. (2024) · IEEE Access · doi:10.1109/access.2024.3441088 · Cited by 29 · see citing works
Let us Meet Online! Examining the Factors Influencing Older Chinese’s Social Networking Site Use
Zhou, J. (2019) · Journal of Cross-Cultural Gerontology · doi:10.1007/s10823-019-09365-9 · Cited by 26 · see citing works

Authors: Kim, B.
Affiliations: Korea Advanced Institute of Science and Technology (KR)
Corresponding author: Kim, Byoungsoo
ORCID: Kim, Byoungsoo
Venue: Cyberpsychology Behavior and Social Networking
Publisher: SAGE Publications
Published: 2010-12-30
Volume: 14
Issue: 4
Pages: 199-205
ISSN: 2152-2715 (ISSN-L)
2152-2723
DOI: 10.1089/cyber.2010.0009
OpenAlex: W2040535479
Cited by: 201
References: 44
Citations by year: 2026: 2 · 2025: 6 · 2024: 5 · 2023: 10 · 2022: 16 · 2021: 17 · 2020: 17 · 2019: 16 · 2018: 11 · 2017: 17 · 2016: 23 · 2015: 20 · 2014: 20 · 2013: 9 · 2012: 9
FWCI: 14.80
Type: journal article
Language: en
Open access: closed
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Cyberpsychology Behavior and Social Networking (publishedVersion)
PubMed (publishedVersion)
Topics: Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
Keywords: continuance intention, social networking services, subjective norms, expectation-confirmation model, Cyworld, user decision-making
MeSH terms: Adolescent, Adult, Choice Behavior, Consumer Behavior, Decision Making, Factor Analysis, Statistical, Female, Humans, Male, Middle Aged, Models, Psychological, Psychological Theory, Social Behavior, Internet, Intention, Young Adult

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

Understanding antecedents of continuance intention in social-networking services

Abstract

Integrity signals

Claims the paper makes

Claims other papers make about this one

Cites

Cited by

Related

Record

About these checks