scholarly journals Understanding the Drivers of Wearable Health Monitoring Technology: An Extension of the Unified Theory of Acceptance and Use of Technology

2020 ◽  
Vol 12 (22) ◽  
pp. 9605
Author(s):  
Sami S. Binyamin ◽  
Md. Rakibul Hoque
Keyword(s):  
Health Monitoring ◽  
Structural Equation ◽  
Cross Sectional Study ◽  
Healthcare Sector ◽  
Equation Modeling ◽  
Unified Theory ◽  
Cross Sectional ◽  
Monitoring Technology ◽  
Use Of Technology ◽  
Facilitating Conditions

The market for wearable health monitoring technology is promising globally and in Saudi Arabia particularly. The country has a very high prevalence of chronic diseases that can be managed using wearable health monitoring technology. However, wearable devices are not fully advantageous if people do not accept them. Due to the parsimony of studies on the acceptance of wearable health monitoring technology, understanding the key drivers of using wearable health monitoring technology remains uncertain. This cross-sectional study extends the extended unified theory of acceptance and use of technology (UTAUT2) to explain the variance in the adoption intention of wearable health monitoring technology. A total of 256 responses were analyzed using the partial least squares structural equation modeling technique, in addition to the importance-performance map analysis. The results indicate that performance expectancy (PE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM) and habit (HA) significantly impact users’ behavioral intention (BI) to adopt wearable health monitoring technology. The results also demonstrate that effort expectancy (EE), price value (PV), government health policy (GHP) and trust (TR) are not important. Based on the findings, this research presents a set of recommendations for decisions makers, managers and system developers in the healthcare sector to enhance the use and quality of wearable technology.

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

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.

Factors in Information Assurance Professionals' Intentions to Adhere to Information Security Policies

2020 ◽  
Vol 11 (1) ◽  
pp. 17-32
Author(s):  
S. Raschid Muller ◽  
Mary L. Lind
Keyword(s):  
Information Security ◽  
Structural Equation ◽  
Negative Impact ◽  
Research Question ◽  
Information Assurance ◽  
Security Policies ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Use Of Technology ◽  
Facilitating Conditions

Information security policies (ISPs) serve to clarify and formalize organizational information security practices and reduce data risks, but research shows that ISP noncompliance remains a prominent concern for both scholars and practitioners. This study utilized the unified theory of acceptance and use of technology 2 (UTAUT2) to explore factors that predict information assurance professionals' behavioral intentions to comply with ISPs. The research question addressed: To what extent do performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, and habit predict information assurance professionals' behavioral intention to comply with information security policies in organizations? A nonexperimental, cross-sectional research design using structural equation modeling (PLS-SEM) addressed the research question with information assurance professionals in government agencies where habit emerged as the important component of ISP compliance with hedonic factors having a negative impact.

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

2019 ◽  
Vol 26 (2) ◽  
pp. 149-165 ◽  
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.

scholarly journals Understanding the Determinants of Wearable Fitness Technology Adoption and Use in a Developing Country: An Empirical Study

2021 ◽  
Vol 2 (1) ◽  
pp. 78-87
Author(s):  
Sajib Barua ◽  
Adita Barua
Keyword(s):  
Developing Countries ◽  
Developing Country ◽  
Structural Equation ◽  
Equation Modeling ◽  
Unified Theory ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Actual Use ◽  
Facilitating Conditions ◽  
Self Administered Questionnaire

On account of slow adoption rate of Wearable Fitness Technology (WFT), the device designers need to comprehend the determinants behind the adoption and use of WFT. Which antecedents affect the intention of WFT wearers remains unclear and a brainteaser for designers, especially in developing countries. This study, therefore, examined the factors liable to influence the WFT users in a developing country using the extended ‘Unified Theory of Acceptance and Use of Technology’ (UTAUT2) model and ‘Perceived Reliability’. The desired data for assessment the model was assembled from 260 Bangladeshi respondents using a self-administered questionnaire through online platforms. The Partial-Least-Squares-Structural-Equation-Modeling (PLS-SEM) technique was followed by operationalizing SmartPLS 3.3.3 software to test the proposed hypotheses mentioned in the model. The outcomes of the test confirmed that the facilitating conditions and habit are the most influential determinants for intention-to-use and actual use of WFT followed by performance expectancy and facilitating conditions respectively. Contrariwise, effort expectancy was unearthed to have no notable impact on behavioral intention whereas price value showed negative association with intention. The documentation of the findings could benefit WFT vendors and those policymakers who have strong desire to enter in developing countries’ market.

Adoption of digital payment systems in the era of demonetization in India

2019 ◽  
Vol 10 (1) ◽  
pp. 143-171 ◽  
Author(s):  
Brijesh Sivathanu
Keyword(s):  
Structural Equation ◽  
Service Providers ◽  
Cross Sectional Study ◽  
Equation Modeling ◽  
Payment Systems ◽  
Cross Sectional ◽  
Content Type ◽  
Actual Usage ◽  
Use Of Technology ◽  
Frame Work

PurposeThis study aims to investigate the actual usage (AU) of digital payment systems by the consumers during the period of demonetization (from November 9, 2016 to December 30, 2016) in India.Design/methodology/approachThe conceptual frame work for this study is based on the unified theory of acceptance and use of technology (UTAUT 2) and innovation resistance theory. A total of 766 sample respondents were surveyed using a pre-tested questionnaire. The empirical validation of the framework and analysis was done using partial least squares (PLS)-structural equation modeling (SEM) technique.FindingsThe results suggest that the behavioral intention (BI) to use and innovation resistance (IR) affect the usage of digital payment systems. The relation between BI to use digital payment systems and the AU of digital payment systems is moderated by the stickiness to cash payments.Research limitations/implicationsThis cross-sectional study is limited by geographic constraints and highlights the AU of digital payment systems by using the UTAUT 2 and IR theory only during the demonetization period.Practical implicationsThis study offers valuable insights to the economists, policymakers and digital payment service providers regarding the usage of digital payment systems by consumers during demonetization.Originality/valueThis study assumes importance as it empirically examines the influence of BI and IR on the AU of digital payment systems during the demonetization period in India. This study empirically validates the moderating influence of stickiness to cash payments on the AU of digital payment systems.

scholarly journals Radiation effects on atherosclerosis in atomic bomb survivors: a cross‐sectional study using structural equation modeling

2021 ◽  
Vol 36 (4) ◽  
pp. 401-414
Author(s):  
Tomoki Nakamizo ◽  
John Cologne ◽  
Kismet Cordova ◽  
Michiko Yamada ◽  
Tetsuya Takahashi ◽  
...  
Keyword(s):  
Arterial Stiffness ◽  
Radiation Exposure ◽  
Structural Equation ◽  
Atomic Bomb ◽  
Cross Sectional Study ◽  
Equation Modeling ◽  
Study Cohort ◽  
Sectional Study ◽  
Cross Sectional ◽  
Atomic Bomb Survivors

AbstractPast reports indicated that total-body irradiation at low to moderate doses could be responsible for cardiovascular disease risks, but the mechanism remains unclear. The purpose of this study was to investigate the association between radiation exposure and atherosclerosis, an underlying pathology of cardiovascular diseases, in the Japanese atomic bomb survivors. We performed a cross-sectional study measuring 14 clinical-physiological atherosclerosis indicators during clinical exams from 2010 to 2014 in 3274 participants of the Adult Health Study cohort. Multivariable analyses were performed by using a structural equation model with latent factors representing underlying atherosclerotic pathologies: (1) arterial stiffness, (2) calcification, and (3) plaque　as measured with indicators chosen a priori on the basis of clinical-physiological knowledge. Radiation was linearly associated with calcification (standardized coefficient per Gy 0.15, 95 % confidence interval: CI [0.070, 0.23]) and plaque (0.11, 95 % CI [0.029, 0.20]), small associations that were comparable to about 2 years of aging per Gy of radiation exposure, but not with arterial stiffness (0.036, 95 % CI [− 0.025, 0.095]). The model fitted better and had narrower confidence intervals than separate ordinary regression models explaining individual indicators independently. The associations were less evident when the dose range was restricted to a maximum of 2 or 1 Gy. By combining individual clinical-physiological indicators that are correlated because of common, underlying atherosclerotic pathologies, we found a small, but significant association of radiation with atherosclerosis.

The Moderating Effects of Gender on E-Commerce Systems Adoption Factors

2018 ◽  
Vol 9 (4) ◽  
pp. 86-104
Author(s):  
Frederick Pobee ◽  
Daniel Opoku
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Moderating Effects ◽  
Performance Expectancy ◽  
Adoption Factors ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Actual Use ◽  
Facilitating Conditions

The purpose of this article was to investigate the moderating effects of gender on e-commerce systems adoption factors among university lecturers in Ghana. In order to achieve this purpose, the unified theory of acceptance and use of technology (UTAUT) was used as the theoretical lens for the study. Eight hypotheses were developed and tested. Data analysis was performed with a structural equation modeling (SEM) technique using SmartPLS Application. Using a survey of 223 respondents, the study showed that factors such as performance expectancy, effort expectancy, and facilitating conditions positively and significantly influenced Ghanaian lecturers' behavioral intention and ultimately the actual use of e-commerce systems. As for the moderating effects of gender, this study discovered that gender insignificantly moderated the effects of performance expectancy, effort expectancy and social influence on behavioral intention.

scholarly journals Diversity issues in Nigeria’s healthcare sector: implications on organizational commitment. A cross-sectional study

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 852 ◽  
Author(s):  
Ayodotun Stephen Ibidunni ◽  
Tomike Olawande ◽  
Maxwell Olokundun ◽  
Charles Iruonagbe ◽  
Iyanu Adelekan
Keyword(s):  
Job Satisfaction ◽  
Statistical Analysis ◽  
Organizational Commitment ◽  
Structural Equation ◽  
Affective Commitment ◽  
Cross Sectional Study ◽  
Healthcare Sector ◽  
Public Healthcare ◽  
Healthcare Organizations ◽  
Cross Sectional

Background: Workplace diversity is increasingly gaining the attention of healthcare organizations, especially in developing countries like Nigeria. However, little is understood from existing literature about how workforce diversity affects employees’ satisfaction and organisational commitment in the workplace. Consequently, this paper showed the direct and mediating relationships between diversity of workforce, job satisfaction and employee commitment to the organization. Methods: Copies of the structured questionnaire have been given to 133 public healthcare employees in Nigeria’s Ministry of Health in Lagos state.  Statistical analysis for the study included descriptive measures and multi-variate analysis, using structural equation modelling. Results: Outcomes from statistical analysis supports direct and mediating relationships between the research variables. Gender and ethical diversity had significant influences on job satisfaction at r = 0.35 (p < 0.05) and r = 0.28 (p < 0.05) respectively. The following mediating relationships were also statistically confirmed: job satisfaction related with affective commitment (r = 0.41, p < 0.05) and normative commitment (r = 0.26, p < 0.05). Conclusions: Based on the results of the statistical analysis, the study concludes that there is a relationship between diversity of employees and job satisfaction, diversity of employees and organizational commitment and the influence of work satisfaction on organizational commitment.

scholarly journals Influence of Childhood Family Routines on Adult Depression: A Cross Sectional Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Yuzhi Yan ◽  
Junyi Zhang ◽  
Shenghong Dong
Keyword(s):  
College Students ◽  
Structural Equation ◽  
Cross Sectional Study ◽  
Equation Modeling ◽  
Family Routines ◽  
Cross Sectional ◽  
Chinese College Students ◽  
Adult Depression ◽  
Negative Effect ◽  
Tolerance Of Uncertainty

In order to explore the influence of childhood family routines on adult depression and the mediating role of tolerance of uncertainty and rumination, the current study tested 818 participants by adopting four questionnaires. The results of structural equation modeling revealed that (1) family routines had a negative effect on depression among Chinese college students; (2) family routines were found to have a positive effect on tolerance of uncertainty, and tolerance of uncertainty was a bridge linking family routines and depression; (3) family routines had a significant effect on depression through rumination; (4) the relationship between family routines and depression was partially mediated by the chain of tolerance of uncertainty and rumination. The result reveals not only the fact that childhood family routines have significant influence on college students' depression but also the mechanism of childhood family routines that affect college students' depression. The limitations and implications of our study were also discussed.

scholarly journals Efeito da gamificação na intenção de uso de treinamentos on-line: uma adaptação do modelo UTAUT aplicado no TRT-2

2019 ◽  
Vol 12 (3) ◽  
pp. 472
Author(s):  
Ludmilla Cavarzere de Oliveira ◽  
Luis Hernan Contreras Pinochet ◽  
Ricardo Luiz Pereira Bueno ◽  
Mauri Aparecido de Oliveira
Keyword(s):  
Structural Equation ◽  
Statistical Significance ◽  
Learning By Doing ◽  
Equation Modeling ◽  
Intention To Use ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Regional Labor ◽  
On Line ◽  
Facilitating Conditions

The objective of this research was to analyze the effect of gamification on intention to use online training from the partial validation of the UTAUT model for qualification of members and servers of the Regional Labor Court of the 2nd Region (TRT-2). The study analyzed the relationship between constructs performance expectancy, effort expectancy, facilitating conditions, and familiarity with the intention to use gaming in distance media.  This was conducted through an empirical application, which used the Structural Equation Modeling (SEM) for data analysis. The research was a single cross-sectional survey, carried out with TRT-2 members and servers who participated in the distance-feeding course ‘Healthy Living’ in 2015. Of the four hypotheses, only familiarity (F) was not significant as it did not serve as a behavioral intentions (BI) predictor of gamification for distance learning courses. Some explanations for such phenomenon may be career promotion and additional qualifications, learning by doing and sample size. The results confirmed that most hypotheses have a high statistical significance of the structural paths and have demonstrated that the model proposed in this study is consistent and can be applied in future studies with appropriate adjustments.

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