Measuring Patients’ Perceptions and Social Influence on Home Telecare Management System Acceptance

2010 ◽  
Vol 5 (3) ◽  
pp. 44-68 ◽  
Author(s):  
Charles Chen ◽  
Shih-Wei Chou
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Management System ◽  
Modern Technology ◽  
Theory And Practice ◽  
Successful Implementation ◽  
Social Influence Theory ◽  
System Acceptance ◽  
Acceptance Model ◽  
The Impact

Successful implementation of a Home Telecare Management System (HTMS) requires acceptance by the users, especially when technical innovation is applied to manage chronic healthcare in elderly patients, who are unaccustomed to using modern technology. Based on the Technology Acceptance Model (TAM) and Social Influence Theory (SIT), a Home Telecare Management System (HTMS) Acceptance Model is proposed and tested to improve the understanding of patients’ acceptance of HTMS and the impact of social influence on patients’ attitude and behavioral intentions in using HTMS. Via empirical research and analysis of 221 patients’ questionnaires, the partial least squares (PLS) technique indicates that most of the model’s hypotheses are significant. Implications for both theory and practice are also provided.

Measuring Patients’ Perceptions and Social Influence on Home Telecare Management System Acceptance

2012 ◽  
pp. 281-306
Author(s):  
Charles Chen ◽  
Shih-Wei Chou
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Management System ◽  
Modern Technology ◽  
Theory And Practice ◽  
Successful Implementation ◽  
Social Influence Theory ◽  
System Acceptance ◽  
Acceptance Model ◽  
The Impact

Successful implementation of a Home Telecare Management System (HTMS) requires acceptance by the users, especially when technical innovation is applied to manage chronic healthcare in elderly patients, who are unaccustomed to using modern technology. Based on the Technology Acceptance Model (TAM) and Social Influence Theory (SIT), a Home Telecare Management System (HTMS) Acceptance Model is proposed and tested to improve the understanding of patients’ acceptance of HTMS and the impact of social influence on patients’ attitude and behavioral intentions in using HTMS. Via empirical research and analysis of 221 patients’ questionnaires, the partial least squares (PLS) technique indicates that most of the model’s hypotheses are significant. Implications for both theory and practice are also provided.

scholarly journals Technology acceptance model in e-commerce segment

2018 ◽  
Vol 13 (4) ◽  
pp. 1242-1256 ◽  
Author(s):  
Igor Fedorko ◽  
Radovan Bacik ◽  
Beata Gavurova
Keyword(s):  
Social Networks ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
User Experience ◽  
Modern Technology ◽  
Perceived Usefulness ◽  
Tam Model ◽  
Acceptance Model ◽  
The Impact ◽  
Modern Technologies

Abstract Consumer behaviour analysis is a key aspect for the success of e-business. The main objective of the study is to analyse the impact of selected user experience factors on e-commerce web site visiting (technology). The objective of the study is to create a model that will explain the impact of each major factor on the user experience and the re-visit of the e-shop. To explain the use of e-commerce technology, in the second part we have modified the original technology acceptance model (TAM) with other constructs. Specifically, there are modern technologies such as social networks or mobile apps that affect the use of e-shops. The TAM model is one of the most used models of what the system uses to identify the perceived usefulness and perceived simplicity of use from the user’ side. For the main advantage of our study, we consider that we have highlighted the importance of the factor of modern technology and therefore of social networks, mobile applications and contextual advertising. This factor, along with the other two factors, has been incorporated into our model and has shown that modern technologies have a direct impact and are therefore directly related to the frequency using the e-commerce websites.

scholarly journals The Impact of Digital Learning on Private School from Perspective of Technology Acceptance Model

2018 ◽  
Vol 7 (3.20) ◽  
pp. 480
Author(s):  
Hayder Hussein Azeez ◽  
. . ◽  
. .
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Private School ◽  
Digital Systems ◽  
Successful Implementation ◽  
Digital Learning ◽  
Digital Implementation ◽  
Acceptance Model ◽  
The Impact

Despite the difficulties, risk and failures, higher education institutions are continuously replacing/implementing digital Systems to meet the demands of sector competition and expectation forming the stakeholders. Many literatures claim that the digital implementation is risky and challenging. Especially when HEIs are novice, it becomes important to mitigate the risk involved in digital implementation for a successful implementation. This paper proposes a new risk based framework for digital implementation in higher education.  

An Application of the Technology Acceptance Model to Individual Protective Measures (IPMs) Against Viruses

2021 ◽  
pp. 0-7:51 minutes
Author(s):  
Matti Haverila ◽  
Salma Husain
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Protective Measures ◽  
Influenza Pandemics ◽  
Environmental Measures ◽  
Acceptance Model

This presentation describes Technology Acceptance Model (TAM) when using individual protective measures (IPMs) against the spreading of viruses like COVID-19. The constructs in TAM are perceived usefulness, and ease of use, attitude towards the use of IPMs and the actual use as well as social influence, which were measured with relevant indicator variables. The statistical method used in the analysis was Partial Least Squares Structural Equation Modelling (PLS-SEM). IPMs include personal protective measures for everyday use (e.g., voluntary home isolation, respiratory etiquette, and hand hygiene); Personal protective measures for influenza pandemics (e.g., voluntary home quarantine, and use of face masks in community settings); and Environmental measures (e.g., routine cleaning of frequently touched surfaces). The results indicate that all relationships were significant also so that the effect sizes were large to medium with the exception of social influence -> perceived usefulness and social influence -> attitude towards usage.

A survey of ambulance clinicians’ perceptions of recording and communicating patient information electronically

2021 ◽  
Vol 6 (1) ◽  
pp. 1-7
Author(s):  
Jack William Barrett ◽  
Pete Eaton-Williams ◽  
Craig ED Mortimer ◽  
Victoria FP Land ◽  
Julia Williams
Keyword(s):  
Technology Acceptance ◽  
Patient Information ◽  
Online Community ◽  
Community Services ◽  
Online Questionnaire ◽  
Collaborative Working ◽  
Acceptance Model ◽  
Effective Use ◽  
Electronic Messaging ◽  
The Impact

Objective: Ambulance services are evolving from use of paper-based recording of patient information to electronic platforms and the impact of this change has yet to be fully explored. The aim of this study is to explore how the introduction of a system permitting electronic information capture and its subsequent sharing were perceived by the ambulance clinicians using it.Methods: An online questionnaire was designed based upon the technology acceptance model and distributed throughout one ambulance service in the south east of England. Closed-ended questions with Likert scales were used to collect data from patient-facing staff who use an online community falls and diabetic referral platform or an electronic messaging system to update GPs following a patient encounter.Results: There were 273 responses from ambulance clinicians. Most participants agreed that they used tablet computers and smartphones to make their life easier (85% and 86%, respectively). Most participants felt that referring patients to a community falls or diabetic team electronically was an efficient use of their time (81% and 81%, respectively) and many believed that these systems improved the communication of confidential patient information. GP summaries were perceived as increasing time spent on scene but most participants (89%) believed they enabled collaborative working. Overall, collecting and sharing patient information electronically was perceived by most participants as beneficial to their practice.Conclusion: In this study, the ability to electronically refer patients to community services and share patient encounters with the GP was predominantly perceived as both safe for patients and an effective use of the participants’ clinical time. However, there is often still a need to communicate to GPs in real time, demonstrating that technology could complement, rather than replace, how clinicians communicate.

scholarly journals Computer Self-Efficacy and Organizational Culture In Affecting Technology Acceptance Model

2021 ◽  
Vol 12 (5) ◽  
pp. 484-489
Author(s):  
Ulfah Mediaty Arief Et al.
Keyword(s):  
Organizational Culture ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Self Efficacy ◽  
High Technology ◽  
Ease Of Use ◽  
Perceived Ease Of Use ◽  
Substantial Impact ◽  
Acceptance Model ◽  
The Impact

As the leading provider of education, teachers need to have high technology adoption skills. There is LMS technology in inputs that can streamline learning practices. Mostly with inclusion of the impact of organizational culture and machine self-efficacy on LMS Schoology, this study aims to see the capacity of technology acceptance by teachers using the Technology Acceptance Model (TAM).The results of the study using the model described above for teachers in the cities of Salatiga and Boyolali show that organizational culture does not have a major impact on attitude or purpose to use towards LMS Schoology.The self-efficacy of computers may not affect perceived utility, but has a substantial impact on perceived ease of use. The model also indicates that teachers, while they find it difficult to incorporate it, have a positive attitude towards the nature of LMS technology.

A Preliminary Classification of Usage Measures in Information System Acceptance

2013 ◽  
pp. 105-129 ◽  
Author(s):  
Muhammad Z. I. Lallmahomed ◽  
Nor Zairah Ab Rahim ◽  
Roliana Ibrahim ◽  
Azizah Abdul Rahman
Keyword(s):  
Information System ◽  
Technology Acceptance ◽  
Rater Agreement ◽  
Dimensional Measure ◽  
System Use ◽  
System Acceptance ◽  
Acceptance Model ◽  
Q Sort ◽  
Preliminary Classification

In the light of a diverse body of disorganized usage measures available and the difficulty of building a cumulative research tradition, a literature review is conducted on system use in Information Systems (IS) Acceptance through the two main theories of Technology Adoption, the Technology Acceptance Model (TAM), and The Unified Theory of Use and Acceptance of Technology (UTAUT). The authors seek to understand how usage measures are being operationalised and proposed a preliminary classification of those measures that covers system and task aspects of use. A Q-Sort approach was taken to validate the authors’ classification scheme and the result indicates high inter-rater agreement. The ensuing classification is meant to help researchers in their choice of system use measures. This review also summarises the arguments for a multi-dimensional measure of use and establishes that omnibus measure such as frequency, volume and use/non-use hold prevalence. Finally, the authors provide recommendations for further research in the area of system use.

The Conceptualization of a Research Model for the Measurement of e-Government 2.0 Readiness in the Developing Countries

2012 ◽  
pp. 61-75
Author(s):  
Yfantis Vasileios ◽  
Abel Usoro ◽  
Tseles Dimitrios
Keyword(s):  
Developing Countries ◽  
Web 2.0 ◽  
Technology Acceptance ◽  
Conceptual Model ◽  
Empirical Model ◽  
Future Research ◽  
Successful Implementation ◽  
Acceptance Model ◽  
The Web

This chapter explores the potential of Web 2.0 utilization in developing countries through the concept of e-government. Successful implementation of the Web 2.0 concept has to combine both technological and human factors. Thus, this chapter proposes a conceptual model that will measure e-government 2.0 readiness. The conceptual model is based on a combination of the Technology Acceptance Model, Theory of Planned Behavior, and indexes from the United Nation’s database. South Sudan is used at the end as a brief case study of the potential of e-Government 2.0. Future research should validate the empirical model. Meanwhile, the implications of the model are presented.

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