Family Educators’ Technology Use and Factors Influencing Technology Acceptance Attitudes

2015 ◽  
Vol 43 (4) ◽  
pp. 328-342 ◽  
Author(s):  
Susan K. Walker ◽  
Heeran Kim
Keyword(s):  
Technology Acceptance ◽  
Technology Use ◽  
Factors Influencing

scholarly journals Acceptance and Uptake of Technology Among Older Adults: Findings From CREATE

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 554-555
Author(s):  
Sara Czaja ◽  
Bo Xie
Keyword(s):  
Older Adults ◽  
Technology Acceptance ◽  
Technology Use ◽  
Independent Living ◽  
Future Research ◽  
Driver Assistance Systems ◽  
Change Models ◽  
Cohort Differences ◽  
Factors Influencing ◽  
Age Related

Abstract Technology is ubiquitous in everyday life and technology use is essential to independent living. Technology applications are deployed in most settings (e.g., healthcare, work) and also changing how we communicate, and access information and services. Despite increases in technology uptake among older people, an age-related digital divide remains. Drawing from research conducted by the Center for Research and Education on Aging and Technology Enhancement (CREATE), this symposium will discuss the acceptance and uptake of technology among older adults and factors influencing technology adoption. S. Czaja will discuss recent technology trends and how they vary according to technology type and subgroups of older adults. Based on CREATE findings, she will also discuss age group and cohort differences in interest in and comfort with technology. W. Boot will present findings from a study that examined adherence to a technology-based cognitive training program and how individual difference factors shaped adherence. N. Charness will present findings regarding whether advanced driver assistance systems (ADAS) can improve older adult driving performance, and older adults’ acceptance and perceptions of value of ADAS systems. M. Harris will discuss health related technology interventions and how integration of technology acceptance and behavior change models can provide insights for the design of health behavior interventions aimed at older adults. J. Sharit will provide findings from a study, which examined the willingness of older adults to adopt a variety of technologies and factors influencing willingness to adopt. Bo Xie will lead a discussion of these issues and outline areas for future research.

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

Direct and Indirect Associations of Personality With Audiovisual Technology Acceptance Through General Self-Efficacy

2021 ◽  
pp. 003329412199778
Author(s):  
Maria Manolika ◽  
Rigas Kotsakis ◽  
Maria Matsiola ◽  
George Kalliris
Keyword(s):  
Technology Acceptance ◽  
Student Perceptions ◽  
Technology Use ◽  
Self Efficacy ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Beliefs About Technology ◽  
General Self Efficacy

Increasing consensus among information systems researchers suggests that personality accounts for the effective use of several technologies, yet less is known about the process through which personality affects user perceptions of technology acceptance. This study, therefore, examined whether personality is associated with student perceptions of audiovisual technology acceptance, and whether general self-efficacy mediates this association. In total, 244 students completed an online survey including measures of personality, general self-efficacy, and perceptions of audiovisual technology acceptance. Canonical correlation uncovered significant associations between personality and student beliefs about technology use. Results further revealed that general self-efficacy fully mediated the effects of openness to experience and neuroticism on Perceived Ease of Use, whereas the association between agreeableness and Perceived Usefulness was partially mediated by self-efficacy beliefs. The fact that personality influences students’ perceptions of technology acceptance both directly and indirectly should not remain unnoticed, especially when designing intervention programs to enhance their academic performance.

scholarly journals A Path Model of the Intention to Adopt Variable Rate Irrigation in Northeast Italy

2021 ◽  
Vol 13 (4) ◽  
pp. 1879
Author(s):  
Maurizio Canavari ◽  
Marco Medici ◽  
Rungsaran Wongprawmas ◽  
Vilma Xhakollari ◽  
Silvia Russo
Keyword(s):  
Technology Acceptance ◽  
Precision Agriculture ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Path Model ◽  
Irrigated Agriculture ◽  
Variable Rate ◽  
Intention To Adopt ◽  
Factors Influencing ◽  
Variable Rate Irrigation

Irrigated agriculture determines large blue water withdrawals, and it is considered a key intervention area to reach sustainable development objectives. Precision agriculture technologies have the potential to mitigate water resource depletion that often characterises conventional agricultural approaches. This study investigates the factors influencing farmers’ intentions to adopt variable rate irrigation (VRI) technology. The Technology Acceptance Model 3 (TAM-3) was employed as a theoretical framework to design a survey to identify the factors influencing farmers’ decision-making process when adopting VRI. Data were gathered through quantitative face-to-face interviews with a sample of 138 fruit and grapevine producers from the Northeast of Italy (Veneto, Emilia-Romagna, Trentino-Alto Adige, Friuli-Venezia Giulia). Data were analysed using partial least squares path modelling (PLS-PM). The results highlight that personal attitudes, such as perceived usefulness and subjective norm, positively influence the intention to adopt VRI. Additionally, the perceived ease of use positively affects intention, but it is moderated by subject experience.

Combined Model of Technology Use and Medical Adherence in eHealth Technology Implementation

2021 ◽  
Vol 65 (1) ◽  
pp. 776-780
Author(s):  
Bijita Devkota ◽  
Fernando Montalvo ◽  
Daniel S. McConnell ◽  
Janan A. Smither
Keyword(s):  
Human Factors ◽  
Technology Acceptance ◽  
Treatment Adherence ◽  
Technology Use ◽  
Technology Implementation ◽  
Medical Information ◽  
Treatment Protocols ◽  
Lower Treatment ◽  
Relationship Of ◽  
The Relationship

eHealth applications are expected to improve the effectiveness and efficiency of healthcare systems by providing improved medical information flow between medical providers and patients. Although the technology is expected to empower patients, lower treatment costs, and provide real-time collection of health data, individuals may be apprehensive about the use and efficacy of eHealth technologies. Medical professionals are often unaware of human factors technology acceptance or usability models which impact the use of medically focused technology, such as eHealth applications. Similarly, human factors professionals are often unaware of treatment adherence models which map the relationship of illness factors and individual differences to treatment protocols. The present paper presents a theoretical approach through which technology acceptance and usability models should be combined with medical treatment adherence models to ensure that eHealth applications are used properly and effectively.

Analysis of technological, individual and community factors influencing the use of popular Web 2.0 tools in LIS education

2017 ◽  
Vol 35 (5) ◽  
pp. 977-993 ◽  
Author(s):  
Chokri Barhoumi
Keyword(s):  
Standard Deviation ◽  
Web 2.0 ◽  
Technology Acceptance ◽  
Information Science ◽  
Instant Messaging ◽  
Research Approach ◽  
Web 2.0 Tools ◽  
Content Type ◽  
Community Factors ◽  
Factors Influencing

Purpose This research paper aims to explore the technological, individual and community factors influencing the use of popular Web 2.0 tools in library and information science (LIS) education to prepare LIS students for Library 2.0. The study was guided by the activity theory (AT) and technology acceptance model (TAM) of Davis as a lens. The study reveals a set of factors concerning the technical tools, subjective perceptions, goals of online discussion, social presence within a community, rules for participation and roles of the participants that affect their online engagement patterns. Design/methodology/approach This study was performed during the 2015 academic year; it used a descriptive analytical research approach for exploring and analysing technological, individual and community factors influencing the use of the popular Web 2.0 tools in LIS education. Findings The results show that at the technological level of the AT, educators in the sample found the WhatsApp instant messaging and Twitter to be the easiest tools to use, selecting those tools at, respectively, 73.2 per cent (standard deviation = 0.450) and 61.1 per cent (standard deviation = 0.490). WhatsApp and Twitter also lead at the individual level of the AT, as the most valuable platforms for sharing information and knowledge. Video, text and photo objects are the most commonly shared items, used by 90.7, 93.5 and 98.9 per cent, respectively. Originality/value This study may be useful to help information science educators to prepare graduates for the emerging Web 2.0 environments and to prepare students for Library 2.0.

scholarly journals Analysis of E-Marketplace Use in East Java’s MSMEs Using the Technology Acceptance Model Approach

2021 ◽  
Author(s):  
Rurid Dwi Anggraeny ◽  
Imam Baihaqi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Technology Use ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
Behavioral Intention To Use

The e-commerce industry has the potential to be one of the drivers of the domestic economy. One of the impacts of the advancement of e-commerce is the emergence of many online-based marketplaces or so-called e-marketplaces. However, a lot of these online marketplaces sell 90% imported products. In addition, the outbreak of Covid-19 in Indonesia has prompted the government to establish several policies that have significantly reduced MSME performance by up to 70-100%. This study aimed to provide an empirical analysis of the influence of factors based on the Technology of Acceptance Model (TAM) approach, namely e-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces. The sample consisted of MSMEs in East Java, especially those engaged in the food and beverage industry sector with ready-to-eat processed food products whose business activities use the Shopee e-marketplace application platform. This is an online shopping marketplace focused on mobile platforms. There were 150 respondents. The Structural Equation Model (SEM) was used. E-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces all had positive effects on each other. This showed that a system that offers convenience will improve behavior, habits, and performance for MSMEs in using e-marketplace activities. The theoretical and methodological implications and opportunities for further research are discussed. Keywords: MSMEs, e-marketplace, technology acceptance model

Sign in / Sign up

Export Citation Format

Share Document