A dual-risk model of user adoption of mobile-based smoking cessation support services

References

• Ahuja, M. K., and J. B. Thatcher. 2005. “Moving Beyond Intentions and Toward the Theory of Trying: Effects of Work Environment and Gender on Post-adoption Information Technology Use.” MIS Quarterly 29 (3): 427–459.
   Web of Science ®Google Scholar
• Childers, T.L., C. L. Carr, J. Peck, and S. Carson. 2001. “Hedonic and Utilitarian Motivations for Online Retail Shopping Behavior.” Journal of Retailing 77: 511–535. doi: 10.1016/S0022-4359(01)00056-2
   Web of Science ®Google Scholar
• Chin, W. W. 2000. “Frequently Asked Questions – Partial Least Squares & PLS-Graph.” The University of Houston website. http://disc-nt.cba.uh.edu/chin/plsfaq/plsfaq.htm (Archived at http://www.webcitation.org/5uZMSOxrz).
   Google Scholar
• Cocosila, M., Archer, N., and Yuan, Y. 2009. “Early Investigation of New Information Technology Acceptance: A Perceived Risk – Motivation Model.” Communications of the Association for Information Systems 25 (30). http://aisel.aisnet.org/cais/vol25/iss21/30.
   Google Scholar
• Conchar, M. P., G. M. Zinkhan, C. Peters, and S. Olavarrieta. 2004. “An Integrated Framework for the Conceptualization of Consumers’ Perceived-risk Processing.” Journal of the Academy of Marketing Science 32 (4): 418–436. doi: 10.1177/0092070304267551
   Web of Science ®Google Scholar
• CWTA. 2014. “Canadian Wireless Telecommunications Association Website.” Accessed May 15, 2014. http://cwta.ca/facts-figures/.
   Google Scholar
• Davis, F., Bagozzi, R., and P. Warshaw. 1992. “Extrinsic and Intrinsic Motivation to Use Computers in the Workplace.” Journal of Applied Social Psychology 22 (14): 1111–1132. doi: 10.1111/j.1559-1816.1992.tb00945.x
   Web of Science ®Google Scholar
• Deci, E. L., and R. M. Ryan. 1985. Intrinsic Motivation and Self-determination in Human Behaviour. New York: Plenum Press.
   Google Scholar
• Featherman, M., and P. Pavlou. 2003. “Predicting E-services Adoption: A Perceived Risk Facets Perspective.” International Journal of Human Computer Studies 59 (1): 451–474. doi: 10.1016/S1071-5819(03)00111-3
   Web of Science ®Google Scholar
• Gefen, D., E. E. Rigdon, and D. W. Straub. 2011. “An Update and Extension to SEM Guidelines for Administrative and Social Science Research.” MIS Quarterly 35 (2): iii–xiv.
   Web of Science ®Google Scholar
• Gefen, D., and D. Straub. 2005. “A Practical Guide to Factorial Validity using PLS-Graph: Tutorial and Annotated Example.” Communications of the Association for Information Systems 16: 91–109.
   Google Scholar
• Gilovich, T., and V. H. Medvec. 1995. “The Experience of Regret: What, When, and Why.” Psychological Review 102 (2): 379–395. doi: 10.1037/0033-295X.102.2.379
   PubMed Web of Science ®Google Scholar
• Health Canada. 2014. “Quit Smoking.” Health Canada website. Accessed May 5, 2014. http://www.hc-sc.gc.ca/hc-ps/tobac-tabac/quit-cesser/index-eng.php.
   Google Scholar
• van der Heijden, H. 2004. “User Acceptance of Hedonic Information Systems.” MIS Quarterly 28 (4): 695–704.
   Web of Science ®Google Scholar
• Horne, R., J. Weinman, and M. Hankins. 1999. “The Beliefs about Medicines Questionnaire: The Development and Evaluation of a New Method for Assessing the Cognitive Representation of Medication.” Psychology & Health 14 (1): 1–24. doi: 10.1080/08870449908407311
   Web of Science ®Google Scholar
• Igbaria, M., S. Parasuraman, and J. J. Baroudi. 1996. “A Motivational Model of Microcomputer Usage.” Journal of Management Information Systems 13 (1): 127–143.
   Google Scholar
• Jarke, M. 1999. “Scenarios for Modelling.” Communications of the ACM 42 (1): 47–48. doi: 10.1145/291469.293167
   Web of Science ®Google Scholar
• Jarvenpaa, S. L., N. Tractinsky, and M. Vitale. 2000. “Consumer Trust in an Internet Store.” Information Technology and Management 1: 45–71. doi: 10.1023/A:1019104520776
   Google Scholar
• Kaplan, A. W. 1999. “From Passive to Active about Solar Electricity: Innovation Decision Process and Photovoltaic Interest Generation.” Technovation 19 (8): 467–481. doi: 10.1016/S0166-4972(98)00128-X
   Web of Science ®Google Scholar
• Koivumaki, T., A. Ristola, and M. Kesti. 2008. “The Perceptions Towards Mobile Services: An Empirical Analysis of the Role of Use Facilitators.” Personal and Ubiquitous Computing 12 (1): 67–75. doi: 10.1007/s00779-006-0128-x
   Web of Science ®Google Scholar
• Laroche, M., G. H. G. McDougall, J. Bergeron, and Z. Yang. 2004. “Exploring How Intangibility Affects Perceived Risk.” Journal of Service Research 6 (4): 373–389. doi: 10.1177/1094670503262955
   Google Scholar
• Lim, N. 2003. “Consumers' Perceived Risk: Sources versus Consequences.” Electronic Commerce Research and Applications 2: 216–228. doi: 10.1016/S1567-4223(03)00025-5
   Google Scholar
• Lohmoller, J.-B. 1989. Latent Variable Path Modeling with Partial Least Squares. Heidelberg: Physica-Verlag.
   Google Scholar
• Møldrup, C. 2007. “Individualised Health Marketing using SMS – A Smoking Cessation Case.” Journal of Medical Marketing 7 (3): 255–259. doi: 10.1057/palgrave.jmm.5050087
   Google Scholar
• Nielsen, L. F., and C. Moldrup. 2007. “The Diffusion of Innovation: Factors Influencing the Uptake of Pharmacogenetics.” Community Genetics 10 (4): 231–241. doi: 10.1159/000106562
   PubMedGoogle Scholar
• Obermayer, J. L., W. T. Riley, O. Asif, and J. Jean-Mary. 2004. “College Smoking-Cessation Using Cellphone Text Messaging.” Journal of American College Health 53 (2): 71–78. doi: 10.3200/JACH.53.2.71-78
   PubMed Web of Science ®Google Scholar
• Pavlou, P. A. 2003. “Consumer Acceptance of Electronic Commerce – Integrating Trust and Risk with the Technology Acceptance Model.” International Journal of Electronic Commerce 7 (3): 101–134.
   Web of Science ®Google Scholar
• Ringle, C. M., S. Wende, and A. Will. 2005. “SmartPLS 2.0 (M3) Beta.” Accessed March 28 2014. http://www.smartpls.de/forum (Archived by WebCite® at http://www.webcitation.org/5uZLmc5cJ).
   Google Scholar
• Ryan, R. M., and E. L. Deci. 2000. “Intrinsic and Extrinsic Motivations: Classic Definitions and new Directions.” Contemporary Educational Psychology 25 (1): 54–67. doi: 10.1006/ceps.1999.1020
   PubMed Web of Science ®Google Scholar
• Shearer, J., and M. Shanahan. 2006. “Cost Effectiveness Analysis of Smoking Cessation Interventions.” Australian and New Zealand Journal of Public Health 30 (5): 428–434. doi: 10.1111/j.1467-842X.2006.tb00458.x
   PubMed Web of Science ®Google Scholar
• Stone, R. N., and K. Grønhaug. 1993. “Perceived Risk: Further Considerations for the Marketing Discipline.” European Journal of Marketing 27 (3): 39–50. doi: 10.1108/03090569310026637
   Google Scholar
• TNS Global. 2009. “Canadians Continue to Lag other Countries in Buying Mobile Phones.” TNS Global website. Accessed March 31 2014. http://www.tnsglobal.com/news/news-B8BB7935F49A402F8E22035F22BA3651.aspx.
   Google Scholar
• Venkatesh, V., and F. D. Davis. 2000. “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies.” Management Science 46 (2): 186–204. doi: 10.1287/mnsc.46.2.186.11926
   Web of Science ®Google Scholar
• Venkatesh, V., M. G. Morris, G. B. Davis, and F. D. Davis. 2003. “User Acceptance of Information Technology: Toward a Unified View.” MIS Quarterly 27 (3): 425–478.
   Web of Science ®Google Scholar
• Venkatesh, V., C. Speier, and M. G. Morris. 2002. “User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model.” Decision Sciences 33 (2): 297–316. doi: 10.1111/j.1540-5915.2002.tb01646.x
   Web of Science ®Google Scholar
• Zeelenberg, M., and R. Pieters. 2004. “Consequences of Regret Aversion in Real Life: The Case of the Dutch Postcode Lottery.” Organizational Behavior and Human Decision Processes 93 (2): 155–168. doi: 10.1016/j.obhdp.2003.10.001
   Web of Science ®Google Scholar