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
Examining the technology acceptance model using physician acceptance of telemedicine technology
TL;DR: The results suggested that TAM was able to provide a reasonable depiction of physicians' intention to use telemedicine technology, and suggested both the limitations of the parsimonious model and the need for incorporating additional factors or integrating with other IT acceptance models in order to improve its specificity and explanatory utility in a health-care context.
Journal ArticleDOI
Customer perceived value, satisfaction, and loyalty: The role of switching costs
Zhilin Yang,Robin T. Peterson +1 more
TL;DR: In this article, the authors examined the moderating effects of switching costs on customer loyalty through both satisfaction and perceived-value measures, and concluded that companies that strive for customer loyalty should focus primarily on satisfaction or perceived value.
Journal ArticleDOI
An Extended Privacy Calculus Model for E-Commerce Transactions
Tamara Dinev,Paul Hart +1 more
TL;DR: Although Internet privacy concerns inhibit e-commerce transactions, the cumulative influence of Internet trust and personal Internet interest are important factors that can outweigh privacy risk perceptions in the decision to disclose personal information when an individual uses the Internet.
Journal ArticleDOI
Lessons from applying the systematic literature review process within the software engineering domain
TL;DR: In this article, the authors report experiences with applying one such approach, the practice of systematic literature review, to the published studies relevant to topics within the software engineering domain, and some lessons about the applicability of this practice to software engineering are extracted.
Journal ArticleDOI
Why do people play on-line games? an extended TAM with social influences and flow experience
Chin-Lung Hsu,Hsi-Peng Lu +1 more
TL;DR: This study applies the technology acceptance model (TAM) that incorporates social influences and flow experience as belief-related constructs to predict users' acceptance of on-line games to reveal that social norms, attitude, andflow experience explain about 80% of game playing.
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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