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
Enhancing the Motivational Affordance of Information Systems: The Effects of Real-Time Performance Feedback and Goal Setting in Group Collaboration Environments
TL;DR: This work manipulates the interface of a computer-mediated idea generation system to enhance the system's motivational affordance, i.e., the system’s properties that fulfill users' motivational needs.
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Designing for motivation, engagement and wellbeing in digital experience
TL;DR: A model is introduced that provides a framework grounded in psychological research that can allow HCI researchers and practitioners to form actionable insights with respect to how technology designs support or undermine basic psychological needs, thereby increasing motivation and engagement, and ultimately, improving user wellbeing.
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Determinants of US consumer mobile shopping services adoption: implications for designing mobile shopping services
TL;DR: In this paper, the authors examined critical determinants of US consumers' intentions to use mobile shopping services and to provide implications for retailers and mobile marketers in order to offer mobile shopping service that meet consumers' quality expectations.
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Age differences in mobile service perceptions: comparison of Generation Y and baby boomers
Archana Kumar,Heejin Lim +1 more
TL;DR: In this article, the effects of age on mobile service quality perceptions and its impact on perceived value, satisfaction and loyalty between two significant mobile service user segments (Generation Y and baby boomers) were investigated.
Journal ArticleDOI
Consumer resistance to innovation—a behavioral reasoning perspective
TL;DR: In this paper, the relative influence of both reasons for and reasons against adoption in consumers' innovation adoption decisions is investigated, based on two empirical studies, one with a product and a second with a service innovation.
References
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Martin Fishbein,Icek Ajzen +1 more
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Understanding Attitudes and Predicting Social Behavior
Icek Ajzen,Martin Fishbein +1 more
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Journal ArticleDOI
Self-efficacy mechanism in human agency
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Work and motivation
TL;DR: In this paper, the authors integrate the work of hundreds of researchers in individual workplace behavior to explain choice of work, job satisfaction, and job performance, including motivation, goal incentive, and attitude.