Validity Testing of Technology Acceptance Model Based on Factor Analysis Approach

2017 ◽  
Vol 5 (3) ◽  
pp. 697 ◽  
Author(s):  
Darmawan Napitupulu ◽  
Jimmy Abdel Kadar ◽  
Rahmi Kartika Jati
Keyword(s):  
Information Technology ◽  
Factor Analysis ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
User Acceptance ◽  
Perceived Usefulness ◽  
Analysis Approach ◽  
Successful Implementation ◽  
Tam Model ◽  
Acceptance Model

Successful implementation of Information Technology can be judged or predicted from the user acceptance. Technology acceptance model (TAM) is a model that is built to analyze and understand the factors that influence the acceptance of the use of technologies based on the users perspective. In other words, TAM offers a powerful explanation related to acceptance of the technology and its behavior. TAM model has been applied widely to evaluate various information systems (IS) or information technology (IT), but it is the lack of research related to the evaluation of the TAM model itself. This study aims to determine whether the model used TAM is still relevant today considering rapid development of information communication technology (ICT). In other words, this study would like to test whether the TAM measurement indicators are valid and can represent each dimension of the model. The method used is quantitative method with factor analysis approach. The results showed that all indicators valid and can represent each dimension of TAM, those are perceived usefulness, perceived ease of use and behavioral intention to use. Thus the TAM model is still relevant used to measure the user acceptance of technology.

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.

Technology Acceptance Model

2007 ◽  
pp. 306-308
Author(s):  
M. McCord
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Information Technologies ◽  
Employee Performance ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Intent To Use ◽  
Acceptance Model

The Technology Acceptance Model (TAM) (Davis, 1989) measures perceived usefulness and perceived ease of use as predictors of a user’s intent to use computer technology, and their actual usage on the job. The measure first appeared in 1989, in an MIS Quarterly article by Fred Davis and in a coauthored article in Management Science(Davis, 1989; Davis, Bagozzi, & Warshaw, 1989). Extending the Theory of Reasoned Action (Ajzen & Fishbein, 1980) to technology, Perceived usefulness (U) is defined as “the degree to which a person believes a particular system would enhance his or her job performance.” Perceived ease of use (EOU) is defined as “the degree to which a person believes that using a particular system would be free of effort.” ‘Usage intentions’ (BI) was measured through self-predicted future usage and ‘user acceptance’ was measured through self-reported current usage. Although information technology is adopted to improve employee performance, these gains are often lost or diminished by users’ unwilling to accept and use the information system. Davis wanted to understand why users rejected or accepted information technologies, to better predict, explain and increase user acceptance. The TAM model has since become one of the most established models for predicting user acceptance.

scholarly journals Health Advertising on Short-Video Social Media: A Study on User Attitudes Based on the Extended Technology Acceptance Model

2020 ◽  
Vol 17 (5) ◽  
pp. 1501 ◽  
Author(s):  
Jie Zhao ◽  
Jianfei Wang
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Purchase Intention ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Health Related ◽  
Short Video ◽  
Acceptance Model

The rapid development of short-video social network platforms provides us with an opportunity to conduct health-related advertising and recommendation. However, so far, there are no empirical evidence on whether users are willing to accept health-related short-video advertisements. Here, acceptance refers to purchase intention, meaning that users will read short-video ads, share ads with others, or even open the product link embedded in ads to purchase the product. In this paper, we make the first attempt to model and quantify user acceptance of health-related short-video advertisements. Particularly, we propose a new research model that enhances the Technology Acceptance Model (TAM) with two new designs. First, we propose four new antecedents including social interaction, intrusiveness, informativeness, and relevance into the original TAM to reflect the features of short-video social networks. Second, we introduce two mediator variables including perceived usefulness and attitude so that we can better study how different factors affect user acceptance of health-related short-video ads. We perform a survey on the Internet and conduct an empirical analysis of the surveyed data. The results show that the four antecedents as well as the perceived ease of use have significant influences on perceived usefulness, attitude, and purchase intention. Further, perceived usefulness plays a valid mediating role in attitude and purchase intention. We also found that users’ perceived ease of use on health-related short-video ads cannot significantly predict users’ attitudes toward ads. This is a new finding in social media-oriented ads. Finally, we integrate the empirical findings and present reasonable suggestions for advertisers and marketers to promote health-related short-video ads.

scholarly journals An Empirical Study Of User Acceptance Of Online Social Networks Marketing

2013 ◽  
Vol 50 ◽  
Author(s):  
Olumayowa Mulero ◽  
Michael Adeyeye
Keyword(s):  
Social Networks ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Online Social Networks ◽  
User Acceptance ◽  
Perceived Usefulness ◽  
Western Cape ◽  
User Intentions ◽  
Using Data ◽  
Acceptance Model

The explosion of Internet usage has drawn the attention of researchers towards online Social Networks Marketing (SNM). Research has shown that a number of the Internet users are distrustful and indecisive, when it comes to the use of social networks marketing system. Therefore, there is a need for researchers to identify some of the factors that determine users’ acceptance of social networks marketing using Technology Acceptance Model (TAM). This study extended the Technology Acceptance Model theoretical framework to predict consumer acceptance of social networks marketing within Western Cape Province of South Africa. The research model was tested using data collected from 470 questionnaires and analysed using linear regression. The results showed that user intentions to use SNM are strongly and positively correlated with user acceptance of using SNM systems. Empirical results confirmed that perceived credibility and perceived usefulness are the strongest determinant in predicting user intentions to use SNM system.

scholarly journals The Intention of Adopting Information Technology for SMES in Special Region of Yogyakarta

2020 ◽  
Vol 10 (2) ◽  
pp. 205-215
Author(s):  
Tony Wijaya ◽  
Santi Budiman
Keyword(s):  
Information Technology ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Analysis Technique ◽  
Acceptance Model ◽  
Expansion Model

This study aims to examine the intention of adopting information technology for SMEs in DIY through the expansion of the technology acceptance model. This research continues the previous research related to aspects of obstacles experienced in the development of SME businesses. The research conducted a survey using a sample of SMEs entrepreneurs in DIY. The data analysis technique in this study uses structural equation models that are assisted by the AMOS program. Overall, the expansion model of the technology acceptance model in predicting the intention of adopting SME’s information technology in this study fulfils the model fit rules, which means that the model developed in this study is by existing empirical conditions. In particular, the results of the study prove the influence of business competition pressure on the usefulness of SME owners. It also found that ease of use and perceived usefulness have an effect on the attitudes towards SMEs information technology adoption of SMEs owners, and the attitudes on the adoption of SMEs information technology affect the intention of adopting SME’s information technology.

scholarly journals Technology Acceptance Model Perilaku Pengguna pada Sistem Enterprise Dompet Dhuafa

2021 ◽  
Vol 4 (1) ◽  
pp. 11-16
Author(s):  
Imam Ali Khumaidi ◽  
Rinda Hesti Kusumaningtyas
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Actual System ◽  
Web Based ◽  
Tam Model ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Dompet Dhuafa Enterprise System (DESI) is a system created in 2015. Initially it was created to replace the Fundrising Administration System (SANDRA) because SANDRA is a desktop-based application. Nowadays DESI is only used for budgeting functions and “Tebar Hewan Kurban” (THK) its a sacrificial animal stocking functions. DESI which has daily functions such as budgeting and seasonal functions in THK. In its implementation, DESI which is a web-based system sometimes becomes difficult to access when the system has a problem. This certainly makes the budgeting function that is used in daily activities become not implemented. THK's function in DESI was also inseparable from problems, one of which was the presence of volunteers who did not directly enter the data of prospective victims into DESI during the THK implementation. New data entered into DESI on the first Tasyrik day, for example, will increase work in other divisions. It would be different if it had been done before the sacrificial feast. This study aims to determine the factors that influence the acceptance behavior of DESI users. In this quantitative study using the Technology Acceptance Model (TAM) model. Sampling in this study using purposive sampling and accidental sampling. This study uses PLS-SEM for data processing and uses the application of SmartPLS version 3. There are 6 variables examined in this study, namely perceived usefulness, perceived easy of use, format, attitude using, behavioral intention to use, and actual system usage. From 7 hypotheses proposed there is one hypothesis that is rejected, namely the path attitude toward using the behavioral intention to use.

scholarly journals Analisis Penerimaan Sistem Informasi Rumah Sakit Padma Lalita Menggunakan TAM

2019 ◽  
Vol 5 (3) ◽  
pp. 161
Author(s):  
Yusuf Wahyu Setiya Putra ◽  
Kusrini Kusrini ◽  
Ferry Wahyu Wibowo
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
User Acceptance ◽  
Regression Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Validity And Reliability ◽  
Regression Techniques ◽  
Acceptance Model

Tujuan dari penelitian ini adalah untuk menganalisis penerimaan user pada sistem informasi rumah sakit dengan menggunakan variabel Kegunaan yang Dirasakan (Perceived Usefullness), kemudahan yang dirasakan (Percieved Ease of Use) dan variabel sikap pengguna (Atittute toward Using) yang ada pada TAM (Technology Acceptance Model). Sampel pada penelitian ini berjumlah 66 responden. Data diperoleh menggunakan kuesioner yang telah diuji validitas dan reliabilitasnya, kemudian dianalisis dengan teknik regresi linier berganda. Hasil analisis persamaan regresi ke-1 menunjukkan variabel Perceived Usefullness (X1) memiliki pengaruh signifikan terhadap variabel Attitute toward Using (Y) dengan t hitung sebesar 6,551 dengan signifikansi p = 0,000 (<0,05). Variabel Percieved Ease of Use (X2) berpengaruh signifikan terhadap variabel Attitute toward Using (Y) dengan t hitung 1,988 dengan signifikan p = 0,011(<0,05). Hasil analisis persamaan regresi ke-2 menunjukkan bahwa variabel X1 dan X2 secara bersama-sama berpengaruh signifikan terhadap Attitute toward Using (Y) karena nilai statistik F Hitung = 59,712 dengan signifikansi p = 0,000(<0,05).Kata Kunci — Sistem informasi, Perceived Usefulness, Perceived Ease of Use, Attitude Toward Using, TAMThe purpose of this study is to analyze user acceptance in hospital information systems using Perceived Usefulness, Perceived Ease of Use, and Atittute toward Using variables in TAM (Technology Acceptance). Model). The sample in this study amounted to 66 respondents. Data obtained using questionnaires that have been tested for validity and reliability, then analyzed by multiple linear regression techniques. The results of the analysis of the 1st regression equation show that the Perceived Usefulness variable (X1) has a significant influence on the Attitute toward Using (Y) variable with t count of 6.551 with significance p = 0.000 (<0.05). The variable Percieved Ease of Use (X2) has a significant effect on the Attitute toward Using (Y) variable with t count 1.988 with a significant p = 0.011 (<0.05). The results of the analysis of the second regression equation show that variables X1 and X2 together have a significant effect on Attitute toward Using (Y) because the statistical value F count = 59.712 with significance p = 0.000 (<0.05).Keywords — Information System, Perceived Usefulness, Perceived Ease of Use, Attitude Toward Using, TAM

scholarly journals Pengaruh Kondisi Fasilitas dan Pengaruh Sosial Terhadap Konstruk Technology Acceptance Model pada Mahasiswa Konsumen GoPay dan OVO di Jakarta

2020 ◽  
Vol 4 (6) ◽  
pp. 328
Author(s):  
Alfa Gratia Pelupessy ◽  
Yanuar Yanuar
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Sampling Technique ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
External Variable ◽  
Tam Model ◽  
Acceptance Model

The research conducted aims to examine the effect of facility conditions and social influences on the technology acceptance model (TAM) construct consisting of perceived usefulness, perceived ease of use, attitude toward using, behavioral intentions to use, and actual use to GoPay and OVO consumers. This research was conducted on students who are actively studying at Tarumanagara University, Trisakti University, and Atmajaya University who are also GoPay and OVO users in April 2019. The sampling technique used is based on the Slovin formula. Source of research data is the result of the distribution of questionnaire instruments, where the assessment of the response of each sample is measured using a Likert scale. The results of data collection are then analyzed using the structural equation model. The results of the study prove that the condition of the facility and social influence as an external variable in the TAM model under study has a positive effect on perceived ease and perceived benefits. The results of this study explain that the better the facilities, which include facilities and infrastructure in the use of GoPay and OVO as e-money, as well as the more people who use GoPay and OVO will tend to have an impact on the formation of perceptions of convenience and perceptions of benefits that are increasingly positive so as to encourage individuals to have a positive attitude and greater interest to use GoPay and OVO to help with the activities or activities undertaken.

scholarly journals Using the technology acceptance model to explore health provider and administrator perceptions of the usefulness and ease of using technology in palliative care

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
M. Nguyen ◽  
J. Fujioka ◽  
K. Wentlandt ◽  
N. Onabajo ◽  
I. Wong ◽  
...  
Keyword(s):  
Palliative Care ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Administrator Perceptions ◽  
Health Technologies ◽  
It Systems ◽  
Acceptance Model

Abstract Background Studies have shown that telehealth applications in palliative care are feasible, can improve quality of care, and reduce costs but few studies have focused on user acceptance of current technology applications in palliative care. Furthermore, the perspectives of health administrators have not been explored in palliative care and yet they are often heavily involved, alongside providers, in the coordination and use of health technologies. The study aim was to explore both health care provider and administrator perceptions regarding the usefulness and ease of using technology in palliative care. Methods The Technology Acceptance Model (TAM) was used as the guiding theoretical framework to provide insight into two key determinants that influence user acceptance of technology (perceived usefulness and ease of use). Semi-structured interviews (n = 18) with health providers and administrators with experience coordinating or using technology in palliative care explored the usefulness of technologies in palliative care and recommendations to support adoption. Interview data were analyzed using inductive thematic analysis to identify common, meaningful themes. Results Four themes were identified; themes related to perceived usefulness were: enabling remote connection and information-sharing platform. Themes surrounding ease of use included: integration with existing IT systems and user-friendly with ready access to technical support. Telehealth can enable remote connection between patients and providers to help address insufficiencies in the current palliative care environment. Telehealth, as an information sharing platform, could support the coordination and collaboration of interdisciplinary providers caring for patients with palliative needs. However, health technologies need to passively integrate with existing IT systems to enhance providers’ workflow and productivity. User-friendliness with ready access to technical support was considered especially important in palliative care as patients often experience diminished function. Conclusion Participants’ perspectives of technology acceptance in palliative care were largely dependent on their potential to help address major challenges in the field without imposing significant burden on providers and patients.

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