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Article

Experience and facilitating conditions as impediments to consumers’ new technology adoption

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Pages 79-98 | Received 01 Mar 2018, Accepted 14 Nov 2018, Published online: 24 Dec 2018

References

  • Bagozzi, R. P. 2007. “The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift.” Journal of the Association for Information Systems 8 (4): 244–254. doi:10.17705/1jais.
  • Bagozzi, R. P., F. D. Davis, and P. R. Warshaw. 1992. “Development and Test of a Theory of Technological Learning and Usage.” Human Relations 45 (7): 659–686. doi:10.1177/001872679204500702.
  • Conner, M., P. Sheeran, P. Norman, and C. J. Armitage. 2000. “Temporal Stability as a Moderator of Relationships in the Theory of Planned Behaviour.” British Journal of Social Psychology 39 (4): 469–493.
  • Fazio, R. H., and M. P. Zanna. 1981. “Direct Experience and Attitude-Behavior Consistency.” Advances in Experimental Social Psychology 14: 161–202.
  • Fishbein, M., and I. Ajzen. 1975. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley Pub.
  • Gordon, R. 1989. “Intention and Expectation Measures as Predictors of Academic Performance 1.” Journal of Applied Social Psychology 19 (5): 405–415. doi:10.1111/jasp.1989.19.issue-5.
  • Gordon, R. 1990. “Informational Bases of Behavioral Intentions and Behavioral Expectations or Self-Predictions.” Basic and Applied Social Psychology 11 (4): 433–442. doi:10.1207/s15324834basp1104_6.
  • Hamilton, R. W., and D. V. Thompson. 2007. “Is There a Substitute for Direct Experience? Comparing Consumers’ Preferences after Direct and Indirect Product Experiences.” Journal of Consumer Research 34 (4): 546–555. doi:10.1086/520073.
  • Inman, J. J., and H. Nikolova. 2017. “Shopper-Facing Retail Technology: A Retailer Adoption Decision Framework Incorporating Shopper Attitudes and Privacy Concerns.” Journal of Retailing 93 (1): 7–28. doi:10.1016/j.jretai.2016.12.006.
  • Jones, T., and V. A. Clarke. 1995. “Diversity as A Determinant of Attitudes: A Possible Explanation of the Apparent Advantage of Single-Sex Settings.” Journal of Educational Computing Research 12 (1): 51–64. doi:10.2190/3HPH-1E8N-XTMW-CANR.
  • Karahanna, E., and D. W. Straub. 1999. “The Psychological Origins of Perceived Usefulness and Ease-Of-Use.” Information and Management 35 (4): 237–250. doi:10.1016/S0378-7206(98)00096-2.
  • Kim, D. H., and H. Lee. 2016. “Effects of User Experience on User Resistance to Change to the Voice User Interface of an In‑Vehicle Infotainment System: Implications for Platform and Standards Competition.” International Journal of Information Management 36 (4): 653–667. doi:10.1016/j.ijinfomgt.2016.04.011.
  • Mahardika, H., D. Thomas, and M. Ewing 2011. "Comparing the Temporal Stability of Behavioural Intention, Behavioural Expectation and Implementation Intention." Proceedings of the 2011 Australian and New Zealand Marketing Academy Conference, Perth, Australia. Edith Cowan University (School of Marketing, Faculty of Business & Law, Tourism and Leisure).
  • Mahardika, H., D. Thomas, M. Ewing, and A. Japutra. Forthcoming. "Predicting Consumers’ Trial/Adoption of New Technology: Revisiting the Behavioral Expectations – Behavioral Intentions Debate." International Review of Retail, Distribution and Consumer Research.
  • Mao, E., and P. Palvia. 2008. “Exploring the Effects of Direct Experience on IT Use: An Organizational Field Study.” Information and Management 45 (4): 249–256. doi:10.1016/j.im.2008.02.007.
  • Olivier, T. A., and F. Shapiro. 1993. “Self-Efficacy and Computers.” Journal of Computer-Based Instruction 20 (3): 81–85.
  • Sheeran, P., P. Norman, and S. Orbell. 1999. “Evidence That Intentions Based on Attitudes Better Predict Behaviour than Intentions Based on Subjective Norms.” European Journal Of Social Psychology 29 (2–3): 403–406. doi:10.1002/(ISSN)1099-0992.
  • Smith, B., P. Caputi, N. Crittenden, R. Jayasuriya, and P. Rawstorne. 1999. “A Review of the Construct of Computer Experience.” Computers in Human Behavior 15 (2): 227–242. doi:10.1016/S0747-5632(99)00020-5.
  • Smith, R. E., and W. R. Swinyard. 1983. “Attitude-Behavior Consistency: The Impact of Product Trial versus Advertising.” Journal of Marketing Research 20 (3): 257–267.
  • Straub, D. W., Jr., and A. Burton-Jones. 2007. “Veni, Vidi, Vici: Breaking the TAM Logjam.” Journal of the Association for Information Systems 8 (4): 224–229. doi:10.17705/1jais.00124.
  • Taylor, S., and P. Todd. 1995. “Understanding Information Technology Usage: A Test of Competing Models.” Information Systems Research 6: 144–176. doi:10.1287/isre.6.2.144.
  • Venkatesh, V., L. Maruping, and S. Brown. 2006. “Role of Time in Self-Prediction of Behavior.” Organizational Behavior and Human Decision Processes 100 (2): 160–176. doi:10.1016/j.obhdp.2006.02.003.
  • Venkatesh, V., and M. Morris. 2003. “User Acceptance of Information Technology: Toward a Unified View.” Management Information Systems Quarterly 27 (1): 18. doi:10.2307/30036540.
  • Venkatesh, V., S. A. Brown, L. M. Maruping, and H. Bala. 2008. “Predicting Different Conceptualizations of System Use: The Competing Roles of Behavioral Intention, Facilitating Conditions, and Behavioral Expectation.” MIS Quarterly 32 (3): 483–502. September.
  • Warshaw, P., and F. Davis. 1984. “Self-Understanding and the Accuracy of Behavioral Expectations.” Personality and Social Psychology Bulletin 10 (1): 111. doi:10.1177/0146167284101013.
  • Warshaw, P., and F. Davis. 1985a. “The Accuracy of Behavioral Intention versus Behavioral Expectation for Predicting Behavioral Goals.” The Journal of Psychology 119 (6): 599–602. doi:10.1080/00223980.1985.9915469.
  • Warshaw, P., and F. Davis. 1985b. “Disentangling Behavioral Intention and Behavioral Expectation.” Journal of Experimental Social Psychology(Print) 21 (3): 213–228. doi:10.1016/0022-1031(85)90017-4.
  • Weerakkody, V., R. El-Haddadeh, F. Al-Sobhi, M. A. Shareef, and Y. K. Dwivedi. 2013. “Examining the Influence of Intermediaries in Facilitating E-Government Adoption: An Empirical Investigation.” International Journal of Information Management 33 (5): 716–725. doi:10.1016/j.ijinfomgt.2013.05.001.

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