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Perceived Usefulness, Perceived Ease of Use, and User

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TLDR
Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
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The article was published on 1989-01-01 and is currently open access. It has received 40975 citations till now.

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Mobile technology acceptance model

TL;DR: A new mobile technology acceptance model (MTAM) which consists of mobile usefulness (MU) and mobile ease of use (MEU) to determine SCC adoption is proposed which confirms the role of MU in MTAM, but MEU needs for more attention in practice.
Journal ArticleDOI

Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach

TL;DR: The findings of this study will contribute to the decision making process by CEOs, managers, manufacturers and policy makers from the mobile manufacturing industry, businesses and financial institutions, mobile commerce, mobile telecommunication providers, mobile marketers, private or government practitioners and etc.
Journal ArticleDOI

An Empirical Investigation of the Determinants of User Acceptance of Internet Banking

TL;DR: A research model for the investigated technology acceptance was developed and empirically examined, and personalization, alliance services, task familiarity, and accessibility were found to have significant influence on perceived usefulness and perceived ease of use, which was found to be important factors in fostering a positive attitude toward accepting the services.
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Mobile banking rollout in emerging markets: evidence from Brazil

TL;DR: In this article, the authors investigate the perceived obstacles to the adoption of mobile banking services among Brazilian internet users and search for patterns according to socio-demographics variables, finding that the majority of respondents do not use any kind of mobile bank service.
Journal ArticleDOI

Modeling patients' acceptance of provider-delivered e-health.

TL;DR: Information technology acceptance models provide a means to understand which aspects of e- health are valued by patients and how this may affect future use, and antecedents to the models can be used to predict e-health acceptance in advance of system development.
References
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Book

Applied multiple regression/correlation analysis for the behavioral sciences

TL;DR: In this article, the Mathematical Basis for Multiple Regression/Correlation and Identification of the Inverse Matrix Elements is presented. But it does not address the problem of missing data.
Journal ArticleDOI

User Acceptance of Computer Technology: A Comparison of Two Theoretical Models

TL;DR: 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.
Journal ArticleDOI

Significance tests and goodness of fit in the analysis of covariance structures

TL;DR: In this article, a general null model based on modified independence among variables is proposed to provide an additional reference point for the statistical and scientific evaluation of covariance structure models, and the importance of supplementing statistical evaluation with incremental fit indices associated with the comparison of hierarchical models.
Journal ArticleDOI

Self-efficacy mechanism in human agency

TL;DR: The centrality of the self-efficacy mechanism in human agency is discussed in this paper, where the influential role of perceived collective effi- cacy in social change is analyzed, as are the social con- ditions conducive to development of collective inefficacy.
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