scholarly journals Predictor Factors of Intention to Use Technological Resources: A Multigroup Study About the Approach of Technology Acceptance Model

SAGE Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 215824402096794
Author(s):  
Ivanildo Viana Moura ◽  
Lauro Brito de Almeida ◽  
Wesley Vieira da Silva ◽  
Claudimar Pereira da Veiga ◽  
Flaviano Costa
Keyword(s):  
Technology Acceptance ◽  
Work Environment ◽  
Technology Acceptance Model ◽  
Educational Institution ◽  
Structural Equations ◽  
Information And Communications Technology ◽  
Extended Model ◽  
Tam Model ◽  
External Variables ◽  
Acceptance Model

The aim of this article is to investigate the influence relationships between factors of an extended model of TAM (Technology Acceptance Model) and the behavioral intention of professors for the acceptance and use of information and communications technology (ICT) in work environment. The model used in this research includes, besides the original TAM variables, another five external variables. Twelve research hypotheses regarding the relationship between TAM factors and the intention and acceptance of ICT in the work environment were elaborated. Data collection was done through a questionnaire available on the Google doc platform to the teachers of the educational institution. The sample is formed by 147 teachers from several courses of one institution in the State of Paraná, Brazil. Initially, the demographic profile data were treated using descriptive statistics, confirmatory factorial analysis, and structural equations, which were the techniques used to test the research hypothesis. All research hypotheses based on the original TAM model were corroborated. Regarding the extended model, one of the external variables was not valid and was excluded from the proposed relations by two hypotheses referring to this construct. The results of the multigroup analysis—which includes the variables demographic, gender, age, schooling, and working time in the institution—showed the significant moderating effect of relationship only for the educational variable.

scholarly journals INFLUENCE OF TECHNOLOGY ACCEPTANCE MODEL (TAM) ON CUSTOMER ADOPTION OF E-BANKING PRACTICE IN LAGOS STATE

2021 ◽  
Vol 4 (3) ◽  
pp. 124-138
Author(s):  
Patrick Ladipo ◽  
◽  
Bolajoko Dixon-Ogbech ◽  
Nnenna Enyinnaya ◽  
Olushola Akeke ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Relative Advantage ◽  
Survey Method ◽  
Extended Model ◽  
Cross Sectional Survey ◽  
Extension Model ◽  
Tam Model ◽  
Lagos State ◽  
Acceptance Model

This study was put together to examine the influence of TAM (Technology Acceptance Model) extension model on customer adoption of e-banking practice in Lagos state. Furthermore, to capture the extended model four (4) elements of innovation characteristics namely innovation relative advantage, innovation complexity, innovation compatibility and innovation information were added into original TAM model to determine their relationship with customer adoption. The study utilized descriptive research design and collected data through cross-sectional survey method. Validated questionnaires of four hundred copies were given to the needed respondents and the data collected were analyzed using both descriptive and inferential statistical tools. Results revealed a substantial relationship between the dimensions of TAM extension model and customer adoption. The study recommends that an innovation will do very well if the innovation is made to capture all the variables investigated in this study to ensure rapid diffusion/adoption of the innovation for the whole process to be successful.

scholarly journals Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications

2020 ◽  
Vol 13 (1) ◽  
pp. 7
Author(s):  
Ivonne Angelica Castiblanco Jimenez ◽  
Laura Cristina Cepeda García ◽  
Maria Grazia Violante ◽  
Federica Marcolin ◽  
Enrico Vezzetti
Keyword(s):  
Virtual Reality ◽  
Technology Acceptance ◽  
Information And Communication Technologies ◽  
Technology Acceptance Model ◽  
Perceived Usefulness ◽  
System Quality ◽  
Tam Model ◽  
External Variables ◽  
E Learning ◽  
Acceptance Model

In recent years information and communication technologies (ICT) have played a significant role in all aspects of modern society and have impacted socioeconomic development in sectors such as education, administration, business, medical care and agriculture. The benefits of such technologies in agriculture can be appreciated only if farmers use them. In order to predict and evaluate the adoption of these new technological tools, the technology acceptance model (TAM) can be a valid aid. This paper identifies the most commonly used external variables in e-learning, agriculture and virtual reality applications for further validation in an e-learning tool designed for EU farmers and agricultural entrepreneurs. Starting from a literature review of the technology acceptance model, the analysis based on Quality Function Deployment (QFD) shows that computer self-efficacy, individual innovativeness, computer anxiety, perceived enjoyment, social norm, content and system quality, experience and facilitating conditions are the most common determinants addressing technology acceptance. Furthermore, findings evidenced that the external variables have a different impact on the two main beliefs of the TAM Model, Perceived Usefulness (PU) and Perceived Ease of Use (PEOU). This study is expected to bring theoretical support for academics when determining the variables to be included in TAM extensions.

scholarly journals A Conceptual Framework of a Streamlined Extended Technology Acceptance Model for Mobile Application Adoption

2021 ◽  
Vol 9 (2) ◽  
pp. 42
Author(s):  
John Dah ◽  
Norhayati Hussin
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
New Technology ◽  
Ease Of Use ◽  
Extended Model ◽  
Perceived Ease Of Use ◽  
External Variable ◽  
Tam Model ◽  
Acceptance Model

Information systems have enjoyed their fair share of success over the years. Various technology adoption theories and models have been used to understand the factors that cause users to harmonize with new technology. Although the technology acceptance model is the most widely used of all technology adoption theories and also gives room for the addition of an external variable, many experts believe that a rudimentary construct should govern its core variables in the field with which it is applied. This believes system birthed the TAM 2 model, which came with an external variable to the extant TAM model. One of the firm beliefs upheld by the TAM model is that “perceived ease of use” fuels users’ intention to accept and adopt new IS systems or otherwise. The TAM 2 or Extended TAM model is driven by the notion that a unique and influential construct in the context of the technology or the object being assessed would improve the result’s accuracy. Therefore, the purpose of this study is to introduce mobile skillfulness as an influential construct that regulates the perception of ease and usefulness in the technology acceptance model for the assessment of mobile-related technologies. This study aims to develop an extended model from the extant TAM model that befits the acceptance assessments of mobile-related technologies such as applications and mobile games. The method used in this article is a literature survey to explore and understand the technology acceptance model (TAM), which would match mobile-related technology. The comprehensive conceptual model has been constructed in this article.

scholarly journals Commonly Used External TAM Variables in Virtual Reality, E-Learning and Agriculture Applications: A Literature Review Using QFD as Organizing Framework

2020 ◽  
Author(s):  
Ivonne Angelica Castiblanco Jimenez ◽  
Laura Cepeda Garcia ◽  
Maria Grazia Violante ◽  
Enrico Vezzetti
Keyword(s):  
Virtual Reality ◽  
Literature Review ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Usefulness ◽  
System Quality ◽  
Tam Model ◽  
External Variables ◽  
E Learning ◽  
Acceptance Model

In recent years information and communication technologies (ICT) play a significant role in all aspects of modern society and impact socioeconomic development in sectors as education, administration, business, medical care and agriculture. The benefits of such technologies in agriculture can be appreciated only if farmers use them. In order to predict and evaluate the adoption of these new technological tools, the technology acceptance model (TAM) can be a valid aid. The paper measures the potential acceptance of an e-learning tool designed for EU farmers and agricultural entrepreneurs. Starting from a literature review of the technology acceptance model, by analyzing the most commonly used external variables in the fields of e-learning, Agriculture, and Virtual reality, the analysis shows that computer self-efficacy, individual innovativeness, computer anxiety, perceived enjoyment, social norm, content and system quality, experience and facilitating conditions are the most common determinants addressing technology acceptance. Furthermore, findings evidenced that the external variables have a different impact on the two main beliefs of the TAM Model, Perceived Usefulness (PU) and Perceived Ease of Use (PEOU). This study is expected to bring theoretical support for academics when determining the variables to be included in TAM extensions.

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

Validating the TAM model in Haryana state of India: During COVID-19

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
komal Goyal ◽  
Ashutosh Nigam ◽  
Neha Goyal ◽  
Manisha Goyal
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Perceived Ease Of Use ◽  
Tam Model ◽  
E Learning ◽  
Continuous Usage Intention ◽  
Acceptance Model

Purpose -Response to the sudden pandemic, COVID-19 drastic shift of work practices requires the implementation of an e-learning system, but their adoption requires a thorough understanding of the user acceptance process. Our key effort is to incorporate a framework, “internet experience” to determine the existing Technology Acceptance Model (TAM) applicability in describing students’ s e-learning decisions in Haryana state. Design/methodology- The researcher has administered a questionnaire based on TAM’s constructs and collected data from UG and PG students of Haryana state of India. Findings – The results revealed that perceived usefulness (PU) has a significant positive relationship with continuous usage intention (CUI) whilst, perceived ease of use (PEOU), computer self-efficacy (CSE) and internet experience (IE) have not. Attitude towards E-learning system (ATELS) has found no relevance in this model. Originality/value Majority research has been done using the TAM model in a developed nation. Empirical study has not been done in Haryana state so far.

Predicting Internet Use

2011 ◽  
pp. 13-29 ◽  
Author(s):  
William R. Chrismar ◽  
Sonja Wiley-Patton
Keyword(s):  
Information Technology ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Extended Model ◽  
It Adoption ◽  
Business Managers ◽  
Intention To Adopt ◽  
Medical Sector ◽  
Acceptance Model ◽  
Health Applications

The technology acceptance model (TAM; Davis, 1989) has been widely used by information technology researchers to gain a better understanding of information technology (IT) adoption and its use in organizations. While TAM has been applied and tested in academic and corporate settings, involving students, business managers, and clerical and administrative types as participants, few studies have evaluated TAM in the healthcare environment. This chapter examines the applicability of the extended technology acceptance model (TAM2; Ventkatesh & Davis, 2000) in the context of physicians’ intention to adopt Internet-based health applications. Data was collected in a survey of pediatricians to see how well the extended model fits in the medical sector. This chapterdiscusses the implications, limitations, and possible explanations for the inconsistent results found within the model when applied to such professional users as physicians.

scholarly journals Drivers for Teleconsultation Acceptance in Brazil: Patients’ Perspective during the COVID-19 Pandemic

2022 ◽  
Vol 26 (2) ◽  
Author(s):  
Marcus Rodrigues Peixoto ◽  
Jorge Brantes Ferreira ◽  
Laís Oliveira
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Healthcare Services ◽  
Structural Equations ◽  
Perceived Usefulness ◽  
Personal Contact ◽  
Technology Readiness ◽  
Quality Healthcare ◽  
Intention To Adopt ◽  
Acceptance Model

ABSTRACT Context: teleconsultation can be a strategic technological tool for patients to access quality healthcare while dealing with resource challenges within health industry. It can be particularly relevant during and after the COVID-19 pandemic, when the social distancing world had to scramble for new technological solutions to offer quality healthcare services with reduced personal contact. Objective: our research proposes an integrative technology acceptance model to evaluate the drivers of teleconsultation adoption by patients, aligning constructs from the technology acceptance model with other drivers, such as technology readiness, trust, and self-efficacy. Methods: analyses included descriptive statistics and structural equations modeling based on survey’s data from a sample of 415 consumers. Results: results indicate significant relationships between the assessed constructs, with particular relevance on the effects of perceived usefulness, anteceded by trust and technology readiness, on attitude and intention to use teleconsultation. Conclusion: our findings provide helpful insights for health organizations and regulators associated with the diffusion of teleconsultation. The study findings also indicate that the challenging COVID-19 pandemic context may be affecting patients’ intention to adopt teleconsultation.

scholarly journals ADOPTION OF DIGITAL STORYTELLING TOOL IN NATURAL SCIENCES AND TECHNOLOGY EDUCATION BY PRE-SERVICE TEACHERS USING THE TECHNOLOGY ACCEPTANCE MODEL

2020 ◽  
Vol 19 (3) ◽  
pp. 429-453 ◽  
Author(s):  
Iuliana Lazar ◽  
Georgeta Panisoara ◽  
Ion-Ovidiu Panisoara
Keyword(s):  
Technology Acceptance ◽  
Technology Education ◽  
Technology Acceptance Model ◽  
Digital Storytelling ◽  
Digital Age ◽  
Natural Sciences ◽  
Ease Of Use ◽  
Control Variables ◽  
Tam Model ◽  
Acceptance Model

This research aimed to contribute to the overall understanding of pre-service teachers’ acceptance of the Digital Storytelling (DS) tool. The primary associations of the Technology Acceptance Model (TAM) were tested in the academic years 2017/2018 and 2018/2019 for statistical significance when the effects of the pre-service training teachers' digital age and status were controlled. Data from 296 pre-service teachers, from second and third study year, majority women considered vulnerable group were collected. The factor analysis and invariance tests on basic TAM were performed. The results revealed that DS tool usage intention was a function of perceived usefulness and ease of use. This research established the TAM applicability with the control variables addition to model the DS tool acceptance by pre-service teachers, as didactic material for natural sciences and technology education. Configural, metric, and scalar invariance were confirmed across both cross-temporal and cross-sectorial groups. Perceived ease of use of DS has strongly influenced both usefulness (β=.571, t=11.958, p<.0001) and intention to use of DS (β=.763, t=19.914, p<.0001), under the influences of the control variables. The outcomes contributed to the general understanding of DS pre-service teachers’ adoption relevant for natural sciences and technology education and for recognition of vulnerable category behavior. Keywords: digital storytelling tool, natural sciences didactics, technology education didactics, pre-service teachers’ digital age, pre-service teachers’ status, TAM model.

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