Factors Affecting Caregivers’ Acceptance of the Use of Wearable Devices by Patients With Dementia: An Extension of the Unified Theory of Acceptance and Use of Technology Model

Purpose: This study aims to examine the factors affecting caregivers’ acceptance of the use of wearable devices by patients with dementia by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model with 2 additional constructs: resistance to change (RC) and technology anxiety (TA). Methods: A structured online questionnaire was developed and distributed to caregivers who have either dealt previously with or were currently taking care of patients with dementia in sub-Saharan Africa. The selection of countries for the study was purely based on the availability of caregivers of patients with dementia and their readiness to take part in the survey. Questionnaire data from 350 respondents were analyzed and the hypothesis tested using partial least squares based on structural equation modeling. Result: The results of the extended model show that social influence, effort expectancy, facilitating conditions, and behavioral intention (BI) all had P < .05, thus were statistically significant in explaining the perceived BI and actual use of health-care wearable devices among patients with dementia as reported by caregivers. However, P value for RC and TA was greater than .05, hence were insignificant.

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Modeling the Factors that Influence Ghanaian Entrepreneurs to Adopt e-Commerce

International Journal of Innovation and Technology Management ◽

10.1142/s0219877021500292 ◽

2021 ◽

Vol 18 (06) ◽

Author(s):

Frederick Pobee

Keyword(s):

Structural Equation ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Unified Theory ◽

Cross Sectional ◽

Performance Expectancy ◽

Use Of Technology ◽

Effort Expectancy ◽

Facilitating Conditions

This study investigated the factors that influence Ghanaian entrepreneurs to adopt e-commerce. Cross-sectional data was gathered from 520 entrepreneurs in the most populous and industrious regions in Ghana. The unified theory of acceptance and use of technology (UTAUT) was employed to effectively understand the unexplored phenomenon of e-commerce adoption among Ghanaian entrepreneurs. Partial Least Square-Structural Equation Modeling (PLS-SEM) was used to test the hypothesized relationships. The findings indicate that performance expectancy, effort expectancy, and social influence (SI) positively and significantly influenced the behavioral intention (BI) to adopt e-commerce. Facilitating conditions (FC) and BI had a significant positive relationship with the adoption of e-commerce.

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End-Users’ Acceptance of Biometrics Authentication to Secure E-Commerce within the Context of Saudi Culture

IT Policy and Ethics ◽

10.4018/978-1-4666-2919-6.ch061 ◽

2013 ◽

pp. 1356-1376

Author(s):

Fahad AL Harby ◽

Rami Qahwaji ◽

Mumtaz Kamala

Keyword(s):

Structural Equation ◽

Large Scale ◽

Sem Analysis ◽

Equation Modeling ◽

Factors Affecting ◽

Moderating Variables ◽

Use Of Technology ◽

Moderating Factors ◽

Education Levels ◽

Scale Experiment

This book study presents recent findings from an ongoing cross-cultural study exploring the acceptance of a new security method based on biometrics authentication systems to be applied to an e-commerce application within the context of Saudi culture. The aim of the study was to explore factors affecting users’ acceptance of biometrics authentication system. The authors conducted a large scale experiment of 306 Saudis using a login fingerprint system and examined a proposed conceptual framework based on the Unified Theory of Acceptance and Use of Technology (UTAUT) with moderating variables. The findings from Structural Equation Modeling (SEM) analysis indicate that education levels are significant moderating factors, while gender and age do not record as significant. The findings of this study propose the need to take cultural background and disposition into consideration when applying biometrics technology.

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Why Do People Resist Patient Portal Systems?

Consumer-Driven Technologies in Healthcare ◽

10.4018/978-1-5225-6198-9.ch021 ◽

2019 ◽

pp. 407-428 ◽

Cited By ~ 1

Author(s):

Bahae Samhan

Keyword(s):

Technology Use ◽

Structural Equation ◽

Factor Model ◽

Resistance To Change ◽

Healthcare Providers ◽

Equation Modeling ◽

Universal Theory ◽

Patient Portal ◽

Healthcare Settings ◽

Use Of Technology

The implementation of patient portal systems (PPS) has potential benefits to both healthcare providers and their patients. However, evidence shows that PPS are being resisted by patients. Little research in IS has addressed this phenomenon. To understand PPS resistance, this study uses the dual factor model of IT usage to develop an integration of the user resistance model (URM) with the universal theory of acceptance and use of technology (UTAUT). Survey data were used to test the integrative model. A total of 265 responses were gathered from patients at a large international hospital. The data were analyzed using structural equation modeling (EQM). The results revealed resistance to change as an inhibitor to intentions to use the PPS. This study demonstrated the importance of integrating resistance to change with the technology use research, especially in healthcare settings. Moreover, this study is considered to be among the few studies in IS to incorporate patients' perspectives regarding new healthcare technology.

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Students' intention to adopt Internet-based personal safety wearable devices: Extending UTAUT with trusting belief

First Monday ◽

10.5210/fm.v22i9.7808 ◽

2017 ◽

Cited By ~ 2

Author(s):

Devendra Potnis ◽

Dawit Demissie ◽

Kanchan Deosthali

Keyword(s):

Undergraduate Students ◽

Structural Equation ◽

The United States ◽

Wearable Devices ◽

Equation Modeling ◽

It Adoption ◽

Personal Safety ◽

Use Of Technology ◽

Student Safety ◽

Trusting Beliefs

In the backdrop of growing violence and burgeoning crime rates on campus, student safety is one of the topmost priorities for North American universities. While the promises of Internet-based personal safety wearable devices (PSWDs) are highly touted by manufacturers and the academic campuses that adopt them, there is a lack of empirical data on the level of user (student) acceptance. Drawing on the literature on IT adoption, in particular the Unified Theory of Acceptance and Use of Technology (UTAUT) model and trusting beliefs, we propose a model to investigate the factors influencing the intention of 405 undergraduate students to voluntarily adopt POM, a personal safety wearable device, at a four-year college in the Northeast portion of the United States. The empirical analysis of the model using structural equation modeling (SEM) indicated that social influence, facilitating conditions in the form of resources, effort expectancy, and trusting beliefs influence the intentions of students to use POM.

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ANALISIS DETERMINAN NIAT MENGGUNAKAN E-MONEY DI KALANGAN MILLENNIALS DENGAN PENDEKATAN UTAUT

Klabat Journal of Management ◽

10.31154/kjm.v1i1.451.90-104 ◽

2020 ◽

Vol 1 (1) ◽

pp. 90

Author(s):

Jovlin Evrodita Glady ◽

Rinny Rantung

Keyword(s):

Structural Equation Modeling ◽

Structural Equation ◽

Payment System ◽

Primary Data ◽

Equation Modeling ◽

Intention To Use ◽

Unified Theory ◽

Performance Expectations ◽

Facility Conditions ◽

Use Of Technology

The development of science and technology has an impact on all aspects of life, especially in the payment system in Indonesia. This makes the banking industry improved the innovations in payment system, namely the electronic payment system or e-money. The purpose of this study is to analyze what factors influence millennial intention to use e-money using the Unified Theory of Acceptance and Use of Technology approach. The researcher used the Structural Equation Modeling approach using STATA software. Respondents in this study were 422 millennials. Data used in this study were primary data using a questionnaire, with googleform as a tool to collect data. Descriptive data of this study showed that 54% of the total 422 respondents did not use e-money, but 98% had intention to use e-money in the future. On the other hands the results of this study found that millennial intention to use e-money was significantly positively influenced by performance expectations, followed by business expectations, social influence, self-efficacy and security. Facility conditions are the only variable that does not significantly influence millennial intention to use e-money. Perkembangan ilmu pengetahuan dan teknologi berdampak pada semua aspek kehidupan, khususnya dalam sistem pembayaran yang ada di Indonesia. Hal ini membuat industri perbankan mengembangkan inovasi baru dalam sistem pembayaran, yaitu sistem pembayaran elektronik atau e-money. Tujuan dari penelitian ini adalah untuk menganalisa faktor-faktor apa saja yang mempengaruhi niat milenial untuk menggunakan e-money dengan pendekatan Unified Theory of Acceptance and Use of Technology. Peneliti menggunakan pendekatan Structural Equation Modeling dengan menggunakan perangkat lunak STATA. Responden dalam penelitian ini adalah generasi milenial sebanyak 422 responden dan data yang digunakan dalam penelitian ini adalah data primer dengan menggunakan kuesioner yang dibagikan melalui fasilitas google form sebagai alat untuk mengumpulkan data. Data deskriptif penelitian ini menunjukkan 54% dari total 422 responden belum menggunakan e-money, namun 98% memiliki niat menggunakan e-money di waktu mendatang. Di sisi lain hasil penelitian ini mendapati bahwa niat milenial untuk menggunakan e-money dipengaruhi secara positif signifikan oleh harapan kinerja, diikuti harapan usaha, pengaruh sosial, efikasi diri dan keamanan. Kondisi fasilitas merupakan satu-satunya variabel yang tidak berpengaruh secara signifikan terhadap niat milenial untuk menggunakan e-money.

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ACCEPTANCE AND USE OF FACEBOOK AS A TECHNOLOGY TO SUPPORT STUDIES IN HIGHER EDUCATION

RINTERPAP - Revista Interdisciplinar de Pesquisas Aplicadas ◽

10.47682/2675-6552.v1n1p61-72 ◽

2020 ◽

Vol 1 (1) ◽

pp. 61-72

Author(s):

Luiz Henrique Lima Faria ◽

Maurizete Pimentel Loureiro Duarte ◽

Bruno Tardin Francischeto ◽

Rafael Buback Teixeira ◽

Rodrigo Loureiro Medeiros ◽

...

Keyword(s):

Structural Equation ◽

Equation Modeling ◽

Analysis Tool ◽

Unified Theory ◽

Performance Expectations ◽

Use Of Technology ◽

Federal Institute ◽

The Social ◽

And Performance ◽

Use Behavior

This article analyzed the existing relationships between the variables present in the Unified Theory of Acceptance and Use of Technology - UTAUT, in the context of using the social network Facebook as a technology to support studies among students of the Undergraduate Course in Business Administration at the Federal Institute of Espírito Santo IFES - Guarapari Campus. To achieve its purpose, after collecting quantitative data, structural equation modeling was used as an analysis tool using the method of Partial Least Squares - PLS-SEM. The results obtained demonstrated that there is an intention of use behavior by the students around 63%, where the constructs Anxiety, Attitudes and Performance Expectations were described as acceptable in the adapted UTAUT model.

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Consumer usage of online travel reviews: Expanding the unified theory of acceptance and use of technology 2 model

Journal Of Vacation Marketing ◽

10.1177/1356766719867386 ◽

2019 ◽

Vol 26 (2) ◽

pp. 149-165 ◽

Cited By ~ 6

Author(s):

Guy Assaker ◽

Rob Hallak ◽

Rania El-Haddad

Keyword(s):

Structural Equation ◽

Online Reviews ◽

Equation Modeling ◽

Unified Theory ◽

Explanatory Variables ◽

Use Of Technology ◽

Online Travel Reviews ◽

Facilitating Conditions ◽

New Variables ◽

Online Travel

The present study examines a comprehensive model of travelers’ use of online travel reviews as a form of user-generated content (UGC) through an expanded unified theory of acceptance and use of technology 2 (UTAUT2) framework. The UTAUT2, which includes Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions, Hedonic Motivation (HM), Price-Saving Orientation, and Habit, within this study incorporates two new variables: Trustworthiness and Homophily. We empirically examine the expanded model on a sample of 200 residents in the United Kingdom. The partial least squares–structural equation modeling analysis revealed that Homophily, PR, and Price-Saving Orientation are the strongest predictors of individual usage intentions’ of UGC. Moreover, the dimension of Habit, operationalized as a subjective measure of impulsive and automatic use of UGC, was found to be the strongest predictor of travelers’ actual UGC usage. This study enhances our understanding of the explanatory variables driving the usage of online reviews (e.g. contrary to prevalent knowledge from previous works, Trustworthiness in the present study was nonsignificant), thus providing far-reaching theoretical and practical recommendations for tourism researchers and practitioners.

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Why Do People Resist Patient Portal Systems?

International Journal of Healthcare Information Systems and Informatics ◽

10.4018/ijhisi.2017100105 ◽

2017 ◽

Vol 12 (4) ◽

pp. 68-86 ◽

Cited By ~ 2

Author(s):

Bahae Samhan

Keyword(s):

Technology Use ◽

Structural Equation ◽

Factor Model ◽

Resistance To Change ◽

Healthcare Providers ◽

Integrative Model ◽

Equation Modeling ◽

Universal Theory ◽

Patient Portal ◽

Use Of Technology

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Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach

Healthcare ◽

10.3390/healthcare9070780 ◽

2021 ◽

Vol 9 (7) ◽

pp. 780

Author(s):

Yogi Tri Prasetyo ◽

Ralph Andre C. Roque ◽

Thanatorn Chuenyindee ◽

Michael Nayat Young ◽

John Francis T. Diaz ◽

...

Keyword(s):

Medical Education ◽

Medical Students ◽

Behavioral Intention ◽

Structural Equation ◽

The Philippines ◽

Equation Modeling ◽

Online Questionnaire ◽

Factors Affecting ◽

Use Of Technology ◽

Instructor Characteristics

eLearning has been the medium of delivery of medical educational institutions to address the scarcity of medical professionals during the COVID-19 pandemic. In this study, the Unified Theory of Acceptance and Use of Technology (UTAUT2) was extended to determine the factors affecting the acceptance of eLearning platforms to medical education in the Philippines during the COVID-19 pandemic. A total of 360 medical students voluntary participated and answered an online questionnaire that consisted of 40 questions. Structural Equation Modeling (SEM) indicated that performance expectancy was found to have the highest effect on behavioral intention, which was followed by learning value and instructor characteristics. A high behavioral intention was found to affect the actual use of eLearning platforms. Interestingly, social influence and habit were found not to be significant to behavioral intentions. This study is the first study that has explored the acceptance of eLearning platforms among medical students in the Philippines during the COVID-19 pandemic. The findings can be a theoretical guideline of the Commission on Higher Education of the Philippines for eLearning platforms. Finally, the framework would be very valuable for enhancing the open innovation in eLearning platforms in medical fields worldwide.

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Exploratory Factors Influencing Building Development Costs in New Zealand Using SEM

10.20944/preprints201704.0187.v1 ◽

2017 ◽

Author(s):

Linlin Zhao ◽

Jasper Mbachu ◽

Niluka Domingo

Keyword(s):

New Zealand ◽

Construction Industry ◽

Structural Equation ◽

Economic Factor ◽

Equation Modeling ◽

P Value ◽

Property Market ◽

Factors Affecting ◽

Development Costs ◽

Major Factors

Identification of costs drivers and their influence level on building development costs play a key role in the development of construction models and improve the efficiency and effectiveness of any project. Forty-five indicators influencing building development costs in New Zealand are explored by literature review and pilot interviews. These indicators are grouped into seven categories. The determination and ranking of the cost drivers are carried out by a questionnaire survey distributed to key professionals working in New Zealand’s construction industry. Structural equation modeling (SEM) software was employed for analysis of the collected data. One of the key advantages of this powerful software is to provide the p-value according to the structure of the research model. Findings of this study indicate that the property market and construction industry factor, statutory and regulatory factor, and socio-economic factor are major factors affecting building development costs in New Zealand.

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