Social and personal dimensions as predictors of sustainable intention to use Facebook in Korea: an empirical analysis
Open accessAbstract
The purpose of this research is to investigate the role of social and personal dimensions in predicting sustainable intention to use a social networking site (SNS). We propose and test an integrative SNS acceptance model based on the theory of planned behavior (TPB), the technology acceptance model (TAM), and the social influence theory. Included in the model are the attitudes toward the use of a SNS, the subjective norm, prevalence of information cascades, and the perceived behavioral control as antecedents of intention to use a SNS. An empirical analysis was conducted using data collected from a questionnaire survey with 228 college students in Korea, and it yielded the following findings. First, the two social dimensions, namely subjective norm and information cascade, were each found to have a significant positive relationship with behavioral intention to use a SNS. In particular, information cascades turned out to have a stronger impact than the remaining two antecedents to behavioral intention to use a SNS. Second, perceived usefulness and perceived ease of use were found to have a significant positive influence on the attitude toward SNS use.
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The finding that social influence significantly predicted VRET adoption aligns with collectivistic cultural patterns, contrasting with German therapist studies where performance expectancy and facilitating conditions were primary predictors.
“Our finding that social influence significantly predicted VRET adoption aligns with collectivistic cultural patterns [50], contrasting with German therapist studies where performance expectancy and facilitating conditions were primary predictors.”
From Exploring Predictors of Counselors’ Acceptance of Virtual Reality Exposure Therapy With Resistance and Job Contexts as Moderators: Cross-Sectional Mixed Methods Study (2025) · cites this paper as [50]
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Cites
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
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · 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
Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.191 · Cited by 43,925 · see citing works
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 · see citing works
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057 · 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
Ellison, N. B., Steinfield, C., & Lampe, C. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00367.x · Cited by 9,939 · see citing works
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150 · see citing works
Ajzen, I. (2002) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2002.tb00236.x · Cited by 7,629 · see citing works
Dimensionalizing Cultures: The Hofstede Model in Context
Hofstede, G. (2011) · Online Readings in Psychology and Culture · doi:10.9707/2307-0919.1014 · Cited by 7,250 · see citing works
A Simple Model of Herd Behavior
Banerjee, A. V. (1992) · The Quarterly Journal of Economics · doi:10.2307/2118364 · Cited by 6,556 · see citing works
Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control
Ajzen, I., & Madden, T. J. (1986) · Journal of Experimental Social Psychology · doi:10.1016/0022-1031(86)90045-4 · Cited by 5,718 · see citing works
A study of normative and informational social influences upon individual judgment.
Deutsch, M., & Gerard, H. B. (1955) · The Journal of Abnormal and Social Psychology · doi:10.1037/h0046408 · Cited by 4,819 · see citing works
Studies of independence and conformity: I. A minority of one against a unanimous majority
Asch, S. E. (1956) · Psychological Monographs: General and Applied · doi:10.1037/h0093718 · Cited by 4,267 · see citing works
Compliance, identification, and internalization three processes of attitude change
Kelman, H. C. (1958) · Journal of Conflict Resolution · doi:10.1177/002200275800200106 · Cited by 3,830 · see citing works
Agarwal, R., & Prasad, J. (1998) · Information Systems Research · doi:10.1287/isre.9.2.204 · Cited by 3,575 · see citing works
Pavlou, P. A., & Fygenson, M. (2006) · MIS Quarterly · doi:10.2307/25148720 · Cited by 2,685 · see citing works
Technology Adoption in the Presence of Network Externalities
Katz, M. L., & Shapiro, C. (1986) · Journal of Political Economy · doi:10.1086/261409 · Cited by 2,622 · see citing works
Building Effective Online Marketplaces with Institution-Based Trust
Pavlou, P. A., & Gefen, D. (2004) · Information Systems Research · doi:10.1287/isre.1040.0015 · Cited by 2,516 · see citing works
Learning from the Behavior of Others: Conformity, Fads, and Informational Cascades
Bikhchandani, S., Hirshleifer, D. A., & Welch, I. (1998) · The Journal of Economic Perspectives · doi:10.1257/jep.12.3.151 · Cited by 1,902 · see citing works
Lin, K.-Y., & Lu, H.-P. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.12.009 · Cited by 1,616 · 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
Lee, J., & Hong, I. B. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.01.001 · Cited by 717 · see citing works
The theory of planned behavior and Internet purchasing
George, J. F. (2004) · Internet Research · doi:10.1108/10662240410542634 · Cited by 694 · see citing works
Predicting the intention to use consumer-generated media for travel planning
Ayeh, J. K., Au, N., & Law, R. (2012) · Tourism Management · doi:10.1016/j.tourman.2012.06.010 · Cited by 568 · see citing works
Informational Cascades and Software Adoption on the Internet: An Empirical Investigation1
Duan, Gü, & Whinston, A. B. (2009) · MIS Quarterly · doi:10.2307/20650277 · Cited by 497 · see citing works
Herding in online product choice
Huang, J. S., & Chen, Y. (2006) · Psychology and Marketing · doi:10.1002/mar.20119 · Cited by 438 · see citing works
Theory of Planned Behavior: Potential Travelers from China
Lam, T., & Hsu, C. H. C. (2004) · Journal of Hospitality & Tourism Research · doi:10.1177/1096348004267515 · Cited by 421 · see citing works
Jackson, L. A., & Wang, J.-L. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.11.024 · Cited by 305 · see citing works
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 · see citing works
Effects of perceived behavioral control on the consumer usage intention of e-coupons
Kang, H., Hahn, M., Fortin, D. R., Hyun, Y. J., & Eom, Y. (2006) · Psychology and Marketing · doi:10.1002/mar.20136 · Cited by 248 · see citing works
Informational social influence and product evaluation.
Cohen, J. B., & Golden, E. (1972) · Journal of Applied Psychology · doi:10.1037/h0032139 · Cited by 222 · see citing works
Understanding antecedents of continuance intention in social-networking services
Kim, B. (2011) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2010.0009 · Cited by 201 · see citing works
Shepherd, S., & Kay, A. C. (2011) · Journal of Personality and Social Psychology · doi:10.1037/a0026272 · Cited by 193 · see citing works
Qiu, L., Lin, H., & Leung, A. K. ‐. (2012) · Journal of Cross-Cultural Psychology · doi:10.1177/0022022111434597 · Cited by 162 · see citing works
Social interaction and continuance intention in online auctions: A social capital perspective
Wang, J.-C., & Chiang, M.-J. (2009) · Decision Support Systems · doi:10.1016/j.dss.2009.04.013 · Cited by 133 · see citing works
Exploring user acceptance of technology using social networks
Hossain, L., & Silva, A. K. M. D. (2009) · The Journal of High Technology Management Research · doi:10.1016/j.hitech.2009.02.005 · Cited by 129 · see citing works
Crespo, A., & Rodríguez, I. A. R. D. B. (2007) · Interacting with Computers · doi:10.1016/j.intcom.2007.11.005 · Cited by 105 · see citing works
Informational cascades in IT adoption
Li, X. (2004) · Communications of the ACM · doi:10.1145/975817.975824 · Cited by 85 · see citing works
Informational social influence and product quality judgments.
Pincus, S., & Waters, L. K. (1977) · Journal of Applied Psychology · doi:10.1037/0021-9010.62.5.615 · Cited by 69 · see citing works
Empirical investigation on factors influencing the behavioral intention to use Facebook
Sukı, N. M., Ramayah, T., & Ly, K. K. (2011) · Universal Access in the Information Society · doi:10.1007/s10209-011-0248-6 · Cited by 54 · see citing works
Merikivi, J., & Mäntymäki, M. (2009) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2009.207 · Cited by 16 · see citing works
Barki, H., & Benbasat, I. (1996) · European Conference on Information Systems · Cited by 5 · see citing works
Flagged first, then by citations
Research works printed but not linked: 8
- Fishbein, M.; Ajzen, I. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research; Addison-Wesley: Reading, MA, USA, 1975.
- Aronson, E.; Wilson, T.D.; Akert, R.M.; Sommers, S.R. Social Psychology, 9th ed.; Prentice Hall: Upper Saddle River, NJ, USA, 2016.
- Kauffman, R.J.; Li, X. Payoff externalities, informational cascades and managerial incentives: A theoretical framework for IT adoption herding. Presented at the 2003 INFORMS Conference on IS and Technology, Atlanta, GA, USA, October 2003.
- Scott, J.; Marshall, G. Oxford Dictionary of Sociology; Oxford University Press: Cary, NC, USA, 2015.
- Shapiro, C.; Varian, H.R. Information Rules: A Strategic Guide to the Network Economy; Harvard Business Press: Boston, MA, USA, 1998.
- Ajzen, I.; Fishbein, M. Understanding Attitudes and Predicting Social Behavior; Prentice Hall: Upper Saddle River, NJ, USA, 1980.
- Nunnally, J.C. Psychometric Theory, 2nd ed.; McGraw-Hill: New York, NY, USA, 1978.
- Hair, J.F.; Anderson, R.E.; Tatham, R.L.; Black, W.C. Multivariate Data Analysis with Readings, 4th ed.; Prentice Hall: Upper Saddle River, NJ, USA, 1995.
Cited by
Sorted by citations
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E-commerce acceptance in the dimension of sustainability
Haryanti, T., & Subriadi, A. P. (2021) · Journal of Modelling in Management · doi:10.1108/jm2-05-2020-0141 · Cited by 60 · see citing works
Kim, T. T., Karatepe, O. M., Lee, G., & Demiral, H. (2018) · Sustainability · doi:10.3390/su10103509 · Cited by 33 · see citing works
Zahid, M., Rahman, H. U., Ullah, Z., & Ali, M. S. E. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101764 · Cited by 34 · see citing works
Developing a comprehensive theoretical model for adopting social media in higher education
Al-Qaysi, N., Nordin, N. M., & Al‐Emran, M. (2021) · Interactive Learning Environments · doi:10.1080/10494820.2021.1961809 · Cited by 30 · see citing works
Wiafe, I., Koranteng, F. N., Katsriku, F. A., & Gyamera, G. O. (2020) · Behaviour and Information Technology · doi:10.1080/0144929x.2020.1832146 · Cited by 28 · see citing works
Lisana, L., & Handarkho, Y. D. (2022) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-10-2021-0774 · Cited by 27 · see citing works
Martínez-González, J. A., Álvarez‐Albelo, C. D., Jiménez, J. M., & Kobylińska, U. (2022) · Mathematics · doi:10.3390/math10050704 · Cited by 17 · see citing works
Lee, S.-M., Bae, G., & Kim, H. (2021) · Sustainability · doi:10.3390/su132212922 · Cited by 9 · see citing works
Factors Behind Virtual Assistance Usage Among iPhone Users: Theory of Reasoned Action
Farhi, F., Jeljeli, R., Zahra, A., Salami, S., & Feguiri, L. (2023) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v17i02.36021 · Cited by 9 · see citing works
Kisanga, S. E. (2020) · Information and Learning Sciences · doi:10.1108/ils-01-2020-0011 · Cited by 9 · see citing works
Yousuf, H., Al‐Emran, M., Al-Sharafi, M. A., & Shaalan, K. F. (2025) · Journal of Financial Services Marketing · doi:10.1057/s41264-025-00314-x · Cited by 8 · see citing works
Rahmayanti, P. L. D., & Rahyuda, I. K. (2020) · Russian Journal of Agricultural and Socio-Economic Sciences · doi:10.18551/rjoas.2020-12.09 · Cited by 7 · see citing works
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Tang, K. L., Tat, H. H., Cham, T., & Cheng, B. L. (2023) · Studies in computational intelligence · doi:10.1007/978-3-031-48397-4_10 · Cited by 6 · see citing works
Ali, M., Yousaf, M., & Behlol, G. (2023) · Voyage Journal of Educational Studies · doi:10.58622/vjes.v3i2.52 · Cited by 5 · see citing works
Ardi, R., Widjaya, T., Putri, S. A., & Syaifullah, D. H. (2024) · International Journal of Technology · doi:10.14716/ijtech.v15i2.6704 · Cited by 5 · see citing works
Joomunbaccus, S. (2021) · Archives of Business Research · doi:10.14738/abr.91.9602 · Cited by 4 · see citing works
Understanding Consumer Insights: Exploring Health Supplement Products Preferences in Malaysia
Shafi, S., Saidi, F. S., Mohamed, K. W., Damaianti, I., & Salleh, H. S. (2024) · International Journal of Design & Nature and Ecodynamics · doi:10.18280/ijdne.190231 · Cited by 2 · see citing works
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Hossain, M. A., Amin, R., & Jahan, N. (2022) · International Journal of e-Collaboration · doi:10.4018/ijec.305234 · Cited by 2 · see citing works
Rizqi, N. F. N., & Listiana, L. (2026) · Journal of Islamic marketing · doi:10.1108/jima-10-2024-0458 · Cited by 1 · see citing works
Viral Advertisement: Conceptualisation of Factors Affecting Viral Behaviour
Kamaruddin, N. A., Fikry, A. B., & Putit, L. (2019) · GATR Journal of Management and Marketing Review · doi:10.35609/jmmr.2019.4.2(5 · Cited by 1 · see citing works
Kim, H.-C., & Zhu, Z.-Y. (2020) · Behaviour and Information Technology · doi:10.1080/0144929x.2020.1773926 · Cited by 1 · see citing works
Kim, M., Jeon, M., Lee, Y., Lee, S., Kim, H., & Jung, D. (2025) · Journal of Medical Internet Research · doi:10.2196/81803
The effects of an educational intervention on exercise advice behaviours of Thai oncology nurses
Witwaranukool, P. (2022) · Queensland University of Technology · doi:10.5204/thesis.eprints.228685
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Mohamad, S. R., Azmi, N. F., Muhammad, M. Z., Hassan, H., Jamil, A., Abdullah, S. S., & Abdullah, T. B. (2023) · Springer eBooks · doi:10.1007/978-981-99-2337-3_54
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Jiaranaipayuk, W., Saengnoree, A., Vuthisopon, S., & Pattananupong, K. (2026) · Risks · doi:10.3390/risks14050113
- Authors
- Hong, I. B.
- Affiliations
- Chung-Ang University (KR)
- Corresponding author
- Hong, Ilyoo Barry
- ORCID
- Hong, Ilyoo Barry
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2018-08-11
- Volume
- 10
- Issue
- 8
- Pages
- 2856
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W2886107139
- Cited by
- 25
- References
- 46
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 2 · 2023: 5 · 2022: 4 · 2021: 5 · 2020: 4 · 2019: 1 · 2018: 1
- FWCI
- 3.90
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- 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 › Sociology and Political Science › Impact of Technology on Adolescents
- Keywords
- Facebook, social networking sites, theory of planned behavior, technology acceptance model, social influence theory, information cascades, subjective norms, perceived usefulness, perceived ease of use, university students, Korea
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