Journal ArticleDOI
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
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TLDR
In this article, the authors address the ability to predict peoples' computer acceptance from a measure of their intentions, and explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables.Abstract:
Computer systems cannot improve organizational performance if they aren't used. Unfortunately, resistance to end-user systems by managers and professionals is a widespread problem. To better predict, explain, and increase user acceptance, we need to better understand why people accept or reject computers. This research addresses the ability to predict peoples' computer acceptance from a measure of their intentions, and the ability to explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables. In a longitudinal study of 107 users, intentions to use a specific system, measured after a one-hour introduction to the system, were correlated 0.35 with system use 14 weeks later. The intention-usage correlation was 0.63 at the end of this time period. Perceived usefulness strongly influenced peoples' intentions, explaining more than half of the variance in intentions at the end of 14 weeks. Perceived ease of use had a small but significant effect on intentions as well, although this effect subsided over time. Attitudes only partially mediated the effects of these beliefs on intentions. Subjective norms had no effect on intentions. These results suggest the possibility of simple but powerful models of the determinants of user acceptance, with practical value for evaluating systems and guiding managerial interventions aimed at reducing the problem of underutilized computer technology.read more
Citations
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Journal ArticleDOI
What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction
TL;DR: An integrated model with six dimensions of learners, instructors, courses, technology, design, and environment reveals critical factors affecting learners' perceived satisfaction and shows institutions how to improve learner satisfaction and further strengthen their e-Learning implementation.
Journal ArticleDOI
The Technology Acceptance Model: Past, Present, and Future
TL;DR: The technology acceptance model (TAM), introduced in 1986, continues to be the most widely applied theoretical model in the IS field and cautiously predicts its future trajectory.
Journal ArticleDOI
Are Individual Differences Germane to the Acceptance of New Information Technologies
Ritu Agarwal,Jayesh Prasad +1 more
TL;DR: A theoretical model wherein the relationship between individual differences and IT acceptance is hypothesized to be mediated by the constructs of the technology acceptance model is proposed, and these factors are viewed as influencing an individual's beliefs about an information technology innovation.
Journal ArticleDOI
Predicting e-services adoption: a perceived risk facets perspective
TL;DR: In this article, specific risk facets were operationalized, integrated, and empirically tested within the Technology Acceptance Model resulting in a proposed e-services adoption model, which indicated that adoption is adversely affected primarily by performance-based risk perceptions, and perceived ease of use of the e-service reduced these risk concerns.
Journal ArticleDOI
The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach
TL;DR: This paper separates Web site quality into information quality (IQ) and system quality (SQ), and proposes nine key constructs for Web-customer satisfaction, and indicates that the proposed metrics have a relatively high degree of validity and reliability.
References
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Icek Ajzen,Martin Fishbein +1 more
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Self-efficacy mechanism in human agency
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