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Post-Acceptance Intentions and Behaviors: An Empirical Investigation of Information Technology Use and Innovation

Post-Acceptance Intentions and Behaviors: An Empirical Investigation of Information Technology Use and Innovation

Pamela E. Carter, Jason Bennett Thatcher, Katherine M. Chudoba, Kent Marett
Copyright: © 2012 |Volume: 24 |Issue: 1 |Pages: 20
ISSN: 1546-2234|EISSN: 1546-5012|EISBN13: 9781466610330|DOI: 10.4018/joeuc.2012010101
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MLA

Carter, Pamela E., et al. "Post-Acceptance Intentions and Behaviors: An Empirical Investigation of Information Technology Use and Innovation." JOEUC vol.24, no.1 2012: pp.1-20. http://doi.org/10.4018/joeuc.2012010101

APA

Carter, P. E., Thatcher, J. B., Chudoba, K. M., & Marett, K. (2012). Post-Acceptance Intentions and Behaviors: An Empirical Investigation of Information Technology Use and Innovation. Journal of Organizational and End User Computing (JOEUC), 24(1), 1-20. http://doi.org/10.4018/joeuc.2012010101

Chicago

Carter, Pamela E., et al. "Post-Acceptance Intentions and Behaviors: An Empirical Investigation of Information Technology Use and Innovation," Journal of Organizational and End User Computing (JOEUC) 24, no.1: 1-20. http://doi.org/10.4018/joeuc.2012010101

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Abstract

Due to its extensive use for the study of information technology adoption and use, the Technology Acceptance Model (TAM) serves as an ideal base model for the study of post-acceptance IT diffusion outcomes. The research presented in this paper incrementally builds on TAM-based research to gain meaningful insights into the potential differences individuals’ exhibit in three types of diffusion outcomes in a post-acceptance context. The authors model and test the effects of perceived usefulness and perceived ease of use on intentions to use, intentions to explore, and trying to innovate – IT diffusion outcomes proposed as vital in a post-acceptance context. In addition to TAM predictive variables, the authors investigate how autonomy, a personal control factor, and subjective norms, a social factor, influence individuals’ intentions toward and behaviors associated with technology use. The findings suggest cognitive intention outcomes are more likely to be influenced by technology-related factors, while behavioral outcomes are more likely to be influenced by social and personal control factors in post-acceptance contexts. Implications of the study for practice and future research are also discussed.

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