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A technology acceptance model for empirically testing new end-user information systems : theory and results

Fred D. Davis
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The article was published on 1985-01-01 and is currently open access. It has received 5244 citations till now. The article focuses on the topics: Technology acceptance model & Information system.

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Journal ArticleDOI

Student continuance of learning management system use: A longitudinal exploration

TL;DR: A two-stage model drawn from the technology acceptance model and the expectation-confirmation model to explain and predict young school students' continued use of learning management systems (LMSs) shows that although perceived ease of use is not significantly related to the intention to use an LMS at the initial use stage, its relationships become stronger in later use stages.
Journal ArticleDOI

Factors hindering acceptance of using cloud services in university: a case study

TL;DR: A novel evaluation framework to explore the “root causes” that hinder the acceptance of using internal cloud services in a university finds clear understanding and operational ease under the theme perceived ease of use (PEOU) are more imperative.
Proceedings ArticleDOI

The influence of external variables on information technology usage behavior

TL;DR: This study validates TAM using the original constructs and assesses the effects of TAM variables on two measures of usage behavior, which are largely consistent with previous TAM studies.
Journal ArticleDOI

Remote patient monitoring acceptance trends among older adults residing in a frontier state

TL;DR: The longer participants used the technology, the more they perceived those important to them would want them to use it, indicating the levels of these factors were high and stable over the course of the study.
Journal ArticleDOI

Modeling the longitudinality of user acceptance of technology with an evidence-adaptive clinical decision support system

TL;DR: This paper presents multiple innovations associated with an electronic health record system developed to support evidence-based medicine practice, and highlights a new construct, based on the technology acceptance model, to explain end users' acceptance of this technology through a lens of continuous behavioral adaptation and change.
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