scholarly journals Factors influencing Community Healthcare Worker’s adoption of mobile health technology (mhealth): A case of sangini supportive supervision (sangini) app, Uttar Pradesh, India

2021 ◽  
Vol 33 (3) ◽  
pp. 519-522
Author(s):  
Sabhya Juneja ◽  
Archna Kumar
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Health Workers ◽  
Uttar Pradesh ◽  
Adoption Of Technology ◽  
Community Healthcare ◽  
Factors Influencing ◽  
Acceptance Model ◽  
And Control ◽  
Experimental Study Design

Background: Community Health Workers (CHWs) are agents in delivering primary healthcare.  mhealth is being used to improve their performance. However, there are little evidences on factors influencing adoption of technology. Henceforth, sangini app was undertaken for analysis. Objective: To investigate factors of adoption of sangini app among users and non-users. Methods & statistical analysis: Constructs from Technology Acceptance Model (TAM) and Theory of Self-Efficacy (SE) were used as tools for study. The study used an experimental study design Kaushambi and Pratapgarh districts of Uttar Pradesh (U.P.), India was selected as intervention and control groups respectively. The study sample consisted of CHWs i.e. 90 Sangini and 270 ASHAs. Two sample t test with equal variances and univariate regression analysis was applied. Results: TA and SE were predicators however; individual characters didn’t impact adoption of mhealth. Conclusion: There is need to comprehend factors influencing adoption of mhealth to improve performance of CHWs.

Why Do Physicians Reject the Electronic Health Record: A Theoretical Perspective? (Preprint)

2018 ◽  
Author(s):  
Weam Alfayez ◽  
Arwa Alumran ◽  
Dr Saja A. Al-Rayes
Keyword(s):  
Information Technology ◽  
Electronic Health Record ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Health Record ◽  
Record System ◽  
Factors Influencing ◽  
Tam Model ◽  
Electronic Health ◽  
Acceptance Model

BACKGROUND Many theories/ models adopted from behavioral sciences literature or developed within the field of information technologies could help in understanding the technology acceptance, usage, and effective adoption. OBJECTIVE The main aim of this paper is to review the different theories/ models that can help in understanding information technology/system acceptance and use, and to choose the most appropriate theoretical framework that could be applied to understand the factors influencing physicians’ use of the Electronic Health Record system (EHR) at King Fahd Military Medical Complex (KFMMC) in Dhahran city, Saudi Arabia. METHODS The theories/ models were reviewed using scientific databases. The inclusion criteria were if the theories/ models used to explain individual behaviors toward accepting and using of information technology including the once conducted within the healthcare. RESULTS The review showed that there were five theories/ models were used within information technology studies to understand the technology acceptance and used. There were Theory of Reasoned Action, Theory of Planned Behaviour, Innovation Diffusion Theory, Unified theory of acceptance and use of technology, and Technology Acceptance Model. Each has different explanatory power of technology use. The most appropriate theoretical framework to understand the reason behind physician use of the EHR at KFMMC would be the Technology Acceptance Model (TAM). TAM model could explain up to 75% of the variation in the behavioral intention (acceptance), and up to 62% of the variation in the actual use. It is the gold standard for assessing the usage of health technologies and systems. In fact, the TAM model is one of the core models used to explore the physician’s perceptions of the Electronic Health Record system adoption. CONCLUSIONS This review showed that there are different theories available in the literature can be used to justify the reason behind electronic health record acceptance. TAM is one of the effective, simplest models used to understand the factors influencing physicians to use the EHR-system. Further studies need to apply the TAM model to check its ability in explaining the reason behind EHR within different hospitals in Saudi Arabia

scholarly journals Factors Influencing Intranet Acceptance in Restaurant Industry: Use of Technology Acceptance Model

2018 ◽  
Vol 11 (10) ◽  
pp. 1 ◽  
Author(s):  
Kunsoon Park ◽  
Narang Park ◽  
Wookjae Heo
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Information Quality ◽  
The United States ◽  
Restaurant Industry ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Factors Influencing ◽  
Acceptance Model ◽  
Organization Support

This study examines factors influencing the user acceptance of intranets in the restaurant industry. The study uses the application of the technology acceptance model (TAM) in explaining intranet usage in restaurant operations. The TAM is an exceptional model for which to predict system usage and has been successfully applied to numerous technologies. The original model was modified to include two independent variables: organization support and information quality. The survey collected data from restaurants in the United States. The results of the study showed that perceived usefulness was the main factor influencing intranet acceptance, while organization support, information quality, and perceived ease of use were not significant in the regression analysis. The findings indicate perceived usefulness of intranet use requires focus in order to improve communications in restaurant franchise systems.

scholarly journals Examining the factors influencing Pahang Mart portal using Technology acceptance model: the moderating effect of education level

2021 ◽  
Vol 1874 (1) ◽  
pp. 012053
Author(s):  
Nur Aulia Fahada binti Misaridin ◽  
Wan Hashridz Rizal bin Wan Abu Bakar ◽  
Mohammad Zulfakhairi bin Mokhtar
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Education Level ◽  
Moderating Effect ◽  
Factors Influencing ◽  
Acceptance Model

The adoption of e-learning beyond MOOCs for higher education

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maggie Liu ◽  
Chunhui Liu
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Content Type ◽  
Factors Influencing ◽  
E Learning ◽  
Acceptance Model ◽  
First Time

Purpose This paper aims to explore factors influencing university students’ intent to take formal lectures completely through e-learning with cloud meetings. Design/methodology/approach This study has surveyed Chinese students who have experienced e-learning with cloud meetings as well as traditional massive open online courses (MOOC) without live dialogues. The data are analysed based on structural equation modelling to assess factors influencing students’ intent to choose e-learning with cloud meetings. Findings The findings show that as per the technology acceptance model, e-learning students who find learning to be easier with cloud meetings than MOOCs believe cloud meeting courses to be more beneficial and thus are more willing to take e-learning with cloud meetings. Originality/value This study compares e-learning with cloud meetings with MOOCs without live dialogues for the first time to highlight the value of open dialogues in real time for effective e-learning.

scholarly journals Assessment of Online Learning Application for Health Education

2019 ◽  
Vol 15 (12) ◽  
pp. 69 ◽  
Author(s):  
Hery Harjono Muljo ◽  
Anzaludin Samsinga Perbangsa ◽  
Bens Pardamean
Keyword(s):  
Online Learning ◽  
Health Education ◽  
Technology Acceptance ◽  
Learning Strategies ◽  
Technology Acceptance Model ◽  
Health Workers ◽  
Model Learning ◽  
Acceptance Model ◽  
The Right ◽  
Improve Health

<p>Online learning has become a model, learning strategies, and the preferred channel in education around the world because it is not restricted by time and place. The development of online learning in supporting the success of health education programs for early detection of cervical cancer is the right solution to improve health workers knowledge. To measure user acceptance of the online learning applications, the study used Technology Acceptance Model (TAM) approach. Data collected from questionnaires then analyzed by calculating the frequency (proportion) of the total value, the interpretation of a score by looking for index% and interval. The final result of the calculation shows that all respondents agreed and strongly agreed with all four factors measured. The conclusions are the users believe that the use of learning online applications can reduce the task effort, improve job performance, give positive idea to use the technology, and consciously and expressed desire to run the online learning process in the future.<strong></strong></p>

Sign in / Sign up

Export Citation Format

Share Document