The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
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
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
Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence
Zeithaml, V. A. (1988) · Journal of Marketing · doi:10.1177/002224298805200302 · Cited by 18,292
Efficacy of the Theory of Planned Behaviour: A meta‐analytic review
Armitage, C. J., & Conner, M. (2001) · British Journal of Social Psychology · doi:10.1348/014466601164939 · Cited by 9,970
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
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767
Mathieson, K. (1991) · Information Systems Research · doi:10.1287/isre.2.3.173 · Cited by 4,216
Consumer trust, value, and loyalty in relational exchanges
Sirdeshmukh, D., Singh, J., & Sabol, B. (2002) · Journal of Marketing · doi:10.1509/jmkg.66.1.15.18449 · Cited by 4,196
Research works printed but not linked: 52
- Ajzen, 1992, Application of the theory of planned behaviour to leisure choice, Journal of Leisure Research, 24, 207, 10.1080/00222216.1992.11969889 · DOI · Paper page
- Al-Gahtani, 2007, Information technology (IT) in Saudi Arabia: culture and the acceptance and use of IT, Journal of Information Management, 44, 681, 10.1016/j.im.2007.09.002 · DOI · Paper page
- Armitage, 1999, Different perceptions of control: applying an extended theory of planned behavior to legal and illegal drug use, Journal of Basic and Applied Social Psychology, 21, 301, 10.1207/S15324834BASP2104_4 · doi:10.1207/s15324834basp2104_4 · Paper page
- Bettoni, 2007, Knowledge cooperation in online communities: a duality of participation and cultivation, The Electronic Journal of Knowledge Management, 5, 1
- Bhattacherjee, 2004, Understanding changes in belief and attitude toward information technology usage: a theoretical model and longitudinal test, MIS Quarterly, 28, 10.2307/25148634 · DOI · Paper page
- Bobbitt, 2001, Integrating attitudinal theories to understand and predict use of technology-based self-service: the Internet as an illustration, International Journal of Service Industry Management, 12, 423, 10.1108/EUM0000000006092 · DOI · Paper page
- Bosnjak, 2005, Unit (non)response in web-based access panel surveys: an extended planned behaviour approach, Psychology and Marketing, 22, 489, 10.1002/mar.20070 · DOI
- Brancheau, 1990, The adoption of spreadsheet technology: testing innovation diffusion theory in the context of end-user computing, Information Systems Research, 1, 115, 10.1287/isre.1.2.115 · DOI · Paper page
- Brown, 2005, Model of adoption of technology in households: a baseline model test and extension incorporating household life cycle, MIS Quarterly, 29, 399, 10.2307/25148690 · DOI · Paper page
- Casper, 2007, How do technology clusters emerge and become sustainable? Social network formation and inter-firm mobility within the San Diego biotechnology cluster, Research Policy, 36, 438, 10.1016/j.respol.2007.02.018 · DOI · Paper page
- Chau, 2002, Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories, Information Management, 39, 297, 10.1016/S0378-7206(01)00098-2 · DOI · Paper page
- Cheung, 2010, A theoretical model of intentional social action in online social networks, Decision Support Systems, 49, 24, 10.1016/j.dss.2009.12.006 · DOI · Paper page
- Dholakia, 2004, A social influence model of consumer participation in network- and small-group-based virtual communities, International Journal of Research in Marketing, 21, 241, 10.1016/j.ijresmar.2003.12.004 · DOI · Paper page
- Fazio, 1981, Direct experience and attitude–behaviour consistency, vol. 6, 161
- Hagger, 2002, The influence of autonomous and controlling motives on physical activity intentions within the theory of planned behaviour, British Journal of Health Psychology, 7, 283, 10.1348/135910702760213689 · DOI · Paper page
- Hamilton, 2008, Extending the theory of planned behavior: the role of self and social influences in predicting adolescent frequent moderate-to-vigorous physical activity, Journal of Sport & Exercise Psychology, 30, 56, 10.1123/jsep.30.1.56 · DOI · Paper page
- Hansen, 2004, Predicting online grocery buying intention: a comparison of the theory of reasoned action and the theory of planned behavior, International Journal of Information Management, 24, 539, 10.1016/j.ijinfomgt.2004.08.004 · DOI · Paper page
- Hong, 2006, Understanding continued information technology usage behavior: a comparison of three models in the context of mobile Internet, Decision Support Systems, 42, 1819, 10.1016/j.dss.2006.03.009 · DOI · Paper page
- Hsieh, 2012, Post-adoption switching behavior for online service substitutes: a perspective of the push–pull–mooring framework, Computers in Human Behavior, 28, 1912, 10.1016/j.chb.2012.05.010 · DOI · Paper page
- Hsu, 2004, Predicting electronic service continuance with a decomposed theory of planned behaviour, Behaviour and Information Technology, 23, 359, 10.1080/01449290410001669969 · DOI · Paper page
- Hsu, 2007, Knowledge sharing behaviour in virtual communities: the relationship between trust, self-efficacy, and outcome expectations, International Journal of Human Computer Studies, 65, 153, 10.1016/j.ijhcs.2006.09.003 · DOI · Paper page
- Huang, 2007, Extending the theory of planned behaviour as a model to explain post-merger employee behaviour of IS use, Computers in Human Behavior, 23, 240, 10.1016/j.chb.2004.10.010 · DOI
- Jasperson, 2005, A comprehensive conceptualization of post-adoptive behavior associated with information technology enabled work systems, MIS Quarterly, 29, 525, 10.2307/25148694 · DOI · Paper page
- Johnson, 1985, Effort and accuracy in choice, Management Science, 31, 395, 10.1287/mnsc.31.4.395 · DOI · Paper page
- Kalafatis, 1999, Green marketing and Ajzen's theory of planned behaviour: a cross-market examination, Journal of Consumer Marketing, 16, 441, 10.1108/07363769910289550 · DOI · Paper page
- Karahanna, 1999, Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs, MIS Quarterly, 23, 183, 10.2307/249751 · DOI · Paper page
- Katz, 1959, Mass communication research and the study of popular culture: an editorial note on a possible future for this journal, Studies in Public Communication, 2, 1
- Kim, 2010, Consumer attitudes toward fashion counterfeits: application of the theory of planned behaviour, Clothing and Textiles Research Journal, 28, 79, 10.1177/0887302X09332513 · DOI · Paper page
- Kim, 2005, A longitudinal model of continued IS use: an integrative view of four mechanisms underlying post adoption phenomena, Management Science, 51, 741, 10.1287/mnsc.1040.0326 · DOI · Paper page
- Langer, 1975, The illusion of control, Journal of Personality and Social Psychology, 32, 311, 10.1037/0022-3514.32.2.311 · DOI · Paper page
- Lerner, 1977, The justice motive: some hypotheses as to its origins and forms, Journal of Personality, 45, 1, 10.1111/j.1467-6494.1977.tb00591.x · DOI · Paper page
- Liao, 1999, The adoption of virtual banking: an empirical study, International Journal of Information Management, 19, 63, 10.1016/S0268-4012(98)00047-4 · DOI · Paper page
- Markus, 2002, A design theory for systems that support emergent knowledge processes, MIS Quarterly, 179
- Matute, 2007, Illusion of control in Internet users and college students, Cyberpsychology & Behavior, 10, 176, 10.1089/cpb.2006.9971 · DOI
- Nguyen, 1997, Regular exercise in 30- to 60-year-old men: combining the stages-of-change model and the theory of planned behaviour to identify determinants for targeting heart health interventions, Journal of Community Health, 22, 233, 10.1023/A:1025196218566 · DOI
- Orbell, 1997, Implementation intentions and the theory of planned behaviour, Personality and Social Psychology Bulletin, 32, 945, 10.1177/0146167297239004 · DOI · Paper page
- Pavlou, 2006, Understanding and predicting electronic commerce adoption: an extension of the theory of planned behaviour, MIS Quarterly, 30, 115, 10.2307/25148720 · DOI · Paper page
- Pura, 2005, Linking perceived value and loyalty in location-based mobile services, Managing Service Quality, 15, 509, 10.1108/09604520510634005 · DOI · Paper page
- Riemenschneider, 2003, Understanding IT adoption decisions in small business: integrating current theories, Information Management, 40, 269, 10.1016/S0378-7206(02)00010-1 · DOI · Paper page
- Saeed, 2011, Understanding post-adoption IS usage stages: an empirical assessment of self-service information systems, Information Systems Journal
- Sánchez-Franco, 2012, How to intensify the individual's feelings of belonging to a social networking site?: Contributions from community drivers and post-adoption behaviours, Management Decision, 50, 1137, 10.1108/00251741211238373 · DOI
- Siponen, 2000, A conceptual foundation for organizational information security awareness, Journal of Information Management and Computer Security, 8, 31, 10.1108/09685220010371394 · DOI · Paper page
- Slater, 1997, Developing a customer value-based theory of the firm, Journal of the Academy of Marketing Science, 25, 162, 10.1007/BF02894352 · DOI · Paper page
- Sweeney, 1997, Retail service quality and perceived value, Journal of Retailing and Consumer Services, 4, 10.1016/S0969-6989(96)00017-3 · DOI · Paper page
- Tan, 2000, Factors influencing the adoption of Internet banking, Journal of the Association for Information Systems, 1, 1, 10.17705/1jais.00005 · DOI · Paper page
- Trafimow, 2002, Evidence that perceived behavioural control is a multidimensional construct: perceived control and perceived difficulty, British Journal of Social Psychology, 41, 101, 10.1348/014466602165081 · DOI · Paper page
- Venkatesh, 2001, A longitudinal investigation of personal computers in homes: adoption determinants and emerging challenges, MIS Quarterly, 25, 71, 10.2307/3250959 · DOI · Paper page
- Venkatesh, 2000, A theoretical extension of the technology acceptance model: four longitudinal field studies, Management Science, 46, 186, 10.1287/mnsc.46.2.186.11926 · DOI · Paper page
- Workman, 2005, Drugging the cancer kinome: progress and challenges in developing personalized molecular cancer therapeutics, Cold Spring Harbor Symposia on Quantitative Biology, 70, 499, 10.1101/sqb.2005.70.020 · DOI
- Yang, 2012, Mobile payment services adoption across time: an empirical study of the effects of behavioral beliefs, social influences, and personal traits, Computers in Human Behavior, 28, 129, 10.1016/j.chb.2011.08.019 · DOI · Paper page
- Zhou, 2011, Understanding online community user participation: a social influence perspective, Internet Research, 21, 67, 10.1108/10662241111104884 · DOI · Paper page
- Zhu, 2005, Post-adoption variations in usage and value of E-business by organizations: cross-country evidence from the retail industry, Information Systems Research, 16, 61, 10.1287/isre.1050.0045 · DOI · Paper page
Cited by
Bonsón, E., Royo, S., & Ratkai, M. (2015) · Government Information Quarterly · doi:10.1016/j.giq.2014.11.001 · Cited by 503
Cao, D., Meadows, M., Wong, D., & Xia, S. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.06.025 · Cited by 294
Ifinedo, P. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2015.11.007 · Cited by 273
Mobile apps for healthy living: Factors influencing continuance intention for health apps
Yan, M., Filieri, R., Raguseo, E., & Gorton, M. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120644 · Cited by 182
Reinecke, L., Vorderer, P., & Knop, K. (2014) · Journal of Communication · doi:10.1111/jcom.12099 · Cited by 176
Metadata
- Authors
- Al-Debei, M. M., Al-Lozi, E., & Papazafeiropoulou, A.
- Venue
- Decision Support Systems
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 55
- Issue
- 1
- Pages
- 43-54
- ISSN
- 0167-9236 (ISSN-L)
- OpenAlex
- W2107522226
- Cited by
- 356
- References
- 20
- FWCI
- 67.81
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective. https://app.cochat.ai/papers/10.1016/j.dss.2012.12.032
- The paper
- Al-Debei, M. M., Al-Lozi, E., & Papazafeiropoulou, A. (2013). Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective. Decision Support Systems. https://doi.org/10.1016/j.dss.2012.12.032
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.