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The Influence of Attitude on the Acceptance and Use of Information Systems

The Influence of Attitude on the Acceptance and Use of Information Systems

Charles J. Kacmar, Susan S. Fiorito, Jane M. Carey
Copyright: © 2009 |Volume: 22 |Issue: 2 |Pages: 28
ISSN: 1040-1628|EISSN: 1533-7979|ISSN: 1040-1628|EISBN13: 9781615200009|EISSN: 1533-7979|DOI: 10.4018/irmj.2009040102
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MLA

Kacmar, Charles J., et al. "The Influence of Attitude on the Acceptance and Use of Information Systems." IRMJ vol.22, no.2 2009: pp.22-49. http://doi.org/10.4018/irmj.2009040102

APA

Kacmar, C. J., Fiorito, S. S., & Carey, J. M. (2009). The Influence of Attitude on the Acceptance and Use of Information Systems. Information Resources Management Journal (IRMJ), 22(2), 22-49. http://doi.org/10.4018/irmj.2009040102

Chicago

Kacmar, Charles J., Susan S. Fiorito, and Jane M. Carey. "The Influence of Attitude on the Acceptance and Use of Information Systems," Information Resources Management Journal (IRMJ) 22, no.2: 22-49. http://doi.org/10.4018/irmj.2009040102

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Abstract

The nomological network of the technology acceptance model is expanded through the addition of affective and task-preparation variables as antecedents to traditional predictors of technology acceptance:output quality, result demonstrability, and ease of use. An empirical study involving a visual/simulation information system, set in the domain of retail merchandise planning, finds that negative affectivity (NA) is a consistent and strong negative antecedent to perceptions of output quality, result demonstrability, and ease of use. In contrast, positive affectivity (PA) is a significant and positive antecedent to ease of use, but not necessarily a significant antecedent to either output quality or result demonstrability. A new construct developed from the job characteristics literature—perceived task preparation—measured the subject’s perceptions of the pre-system usage training, which included task design and modeling instruction, scenarios of activities within the prospective information system, discussions and review of the system documentation, and highly structured, pre-task system use activities. Perceived task preparation was found to be a significant and strong positive indicator of computer self-efficacy.

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