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Journal ArticleDOI

Applying the Technology Acceptance Model to the introduction of healthcare information systems

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TLDR
A conceptual model, appropriate for the intention to use healthcare information systems, is proposed by adopting the system, service, and information qualities covered in the Information System Success Model proposed by DeLone and Mclean as the external variables and integrating the three dimensions of perceived usefulness, perceived ease of use, and intention toUse.
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This article is published in Technological Forecasting and Social Change.The article was published on 2011-05-01. It has received 436 citations till now. The article focuses on the topics: Technology acceptance model & Information system.

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Citations
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Journal ArticleDOI

Structural model of information quality framework to e-agri supply chain

TL;DR: The findings of the study suggest that the intermediaries expect better e-platform responsiveness and value of information from e-agri supply chain as compared to farmers and end consumers.
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User Experience Model for Remote Envenomation Consultation Mobile Application with Decision Support Ability

TL;DR: The purpose and scope of this research is to identify UX factors from the perspective of system components for this type of mobile application, and derive a UX model for the remote envenomation consultation mobile application case.
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Application of Genetic Algorithms for the Estimation of Hydraulic Conductivity

TL;DR: In this article, an alternative methodology based on genetic algorithms is presented for the determination of the basic parameters of Biot consolidation model, which has been demonstrated that GA is a highly effective tool enabling automatic calibration based on simple rules.
Journal ArticleDOI

Digital Transformation in Healthcare 4.0: Critical Factors for Business Intelligence Systems

Fotis Kitsios, +1 more
- 12 May 2022 - 
TL;DR: This article develops a framework for successful BI system development in the health sector taking into consideration the organizational determinants of BI systems’ acceptance, implementation, and evaluation, and classifies the determinants under organizational, process, and strategic aspects as different types to ensure the success of BI system deployment.
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Comparison of the young aged and elderly female users’ adoption of mHealth services

TL;DR: In this paper , the authors investigated the factors influencing the adoption of mHealth services between the young aged and the elderly female in Bangladesh using the extended Technology Acceptance Model (TAM) with three additional latent variables, i.e., perceived reliability, price value and technology anxiety.
References
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Journal ArticleDOI

A mathematical theory of communication

TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.

Perceived Usefulness, Perceived Ease of Use, and User

TL;DR: 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.
Journal ArticleDOI

Perceived usefulness, perceived ease of use, and user acceptance of information technology

TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
Journal ArticleDOI

Multivariate Data Analysis

TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
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