scholarly journals Factors Affecting the Intention to Use Exoskeleton for exercise and the Moderating Effect of Frailty

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 659-660
Author(s):  
Choi Bomi ◽  
Susanna Joo ◽  
Changmin Lee ◽  
Chang Oh Kim ◽  
Yun Mook Lim ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Technology Acceptance ◽  
Social Participation ◽  
Psychological Health ◽  
Online Survey ◽  
Moderating Effect ◽  
Intention To Use ◽  
Regular Exercise ◽  
Subgroup Analyses ◽  
Relevant Factors

Abstract This study aims to find relevant factors influencing the intention to use exoskeletons for exercise (IEE) among older adults and to analyze the moderating effect of frailty. The sample of this study is 310 people (65 or older) without cognitive impairment who completed an online survey. The intention to use exoskeletons was measured with three questions from the Senior Technology Acceptance Model (STAM). Potential relevant factors comprise sociodemographic characteristics, physical and psychological health, exercise, attitude towards aging, and social relationship. Linear regression analyses showed that depressive symptoms, regular exercise, attitude towards aging, and social participation were significantly related to IEE. People with more depressive symptoms and a negative attitude towards aging are more likely to have a higher level of IEE. People who exercise regularly and actively participate in social activities showed a higher level of IEE. Subgroup analyses were performed based on the frailty status measured with Korean Groningen Frailty Indicator (K-GFI). Among people without frailty (N=177), regular exercise, and social participation were positively related to IEE. The number of chronic diseases and social participation was positively related to IEE among people with frailty (N=133). The results of this study implied that poor health conditions lead to an increased need for exoskeletons. The results of this study also suggested that exercise and social participation work as facilitating factors in the context of gerontechnology acceptance. Results of subgroup analyses suggested that influencing factors on IEE can vary depending on the physical functional status.

scholarly journals Examining the moderating effect of depressive symptoms on the relation between exercise and self-efficacy during the initiation of regular exercise.

2015 ◽  
Vol 34 (5) ◽  
pp. 556-565 ◽  
Author(s):  
Julie L. Kangas ◽  
Austin S. Baldwin ◽  
David Rosenfield ◽  
Jasper A. J. Smits ◽  
Chad D. Rethorst
Keyword(s):  
Depressive Symptoms ◽  
Self Efficacy ◽  
Moderating Effect ◽  
Regular Exercise

Electronic Government Services Adoption

2017 ◽  
Vol 13 (3) ◽  
pp. 38-54 ◽  
Author(s):  
Isaac Kofi Mensah ◽  
Jianing Mi
Keyword(s):  
Service Quality ◽  
Technology Acceptance ◽  
Positive Relationship ◽  
Graphical Representation ◽  
Moderating Effect ◽  
Perceived Usefulness ◽  
Electronic Government ◽  
Intention To Use ◽  
Perceived Service Quality ◽  
Government Services

This study investigated the moderating impact of perceived service quality on the positive relationship between perceived usefulness of e-government services and intention to use e-government services. The Technology Acceptance Model (TAM) was applied as the theoretical foundation for the study. The research data collected was analyzed with SPSS while the graphical representation of the moderating effect was generated using the software known as Interaction version 1.7.2211. The results have demonstrated that perceived service quality of e-government services does not have any significant moderating effect on the positive relationship between perceived usefulness and intention to use e-government services. However, perceived service quality and perceived usefulness of e-government services were found to be positively significant in influencing the intention to use e-government services. The implications of this study are further discussed.

Consumer acceptance of smart speakers: a mixed methods approach

2018 ◽  
Vol 12 (4) ◽  
pp. 418-431 ◽  
Author(s):  
Pascal Kowalczuk
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Smart Devices ◽  
Intention To Use ◽  
Content Type ◽  
Acceptance Model

PurposeVoice-activated smart speakers such as Amazon Echo and Google Home were recently developed and are gaining popularity. Understanding and theorizing the underlying mechanisms that encourage or impede consumers to use smart speakers is fundamental for enhancing acceptance and future development of these new devices. Therefore, building on technology acceptance research, this study aims to develop and test an acceptance model for investigating consumers’ intention to use smart speakers.Design/methodology/approachFirst, antecedents that may significantly affect the usage intention of smart speakers were identified through an explorative approach by a netnographic analysis of customer reviews (N= 2,186) and Twitter data (N= 899). Afterward, these results and contemporary literature were used to develop and validate an acceptance model for smart speakers. Structural equation modeling (SEM) was used to test the proposed hypotheses on data collected from 293 participants of an online survey.FindingsBesides perceived ease of use and perceived usefulness, the quality and diversity of a system, its enjoyment, consumer’s technology optimism and risk (surveillance anxiety and security/privacy risk) strongly affect the acceptance of smart speakers. Among these variables, enjoyment had the strongest effect on behavioral intention to use smart speakers.Originality/valueThis is the first study that incorporates netnography and SEM for investigating technology acceptance and applies it to the field of interactive smart devices.

scholarly journals Associations between screen time, physical activity, and depressive symptoms during the 2019 coronavirus disease (COVID-19) outbreak among Chinese college students

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Yi Zhang ◽  
Xiaoyan Wu ◽  
Shuman Tao ◽  
Shiyue Li ◽  
Le Ma ◽  
...  
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Depressive Symptoms ◽  
Psychological Health ◽  
Screen Time ◽  
Online Survey ◽  
Interactive Effect ◽  
Depression Symptoms ◽  
Chinese Government ◽  
Chinese College Students

Abstract Background The 2019 novel coronavirus disease (COVID-19) emerges in China, which spreads rapidly and becomes a public health emergency of international concern. Chinese government has promptly taken quarantine measures to block the transmission of the COVID-19, which may cause deleterious consequences on everyone’s behaviors and psychological health. Few studies have examined the associations between behavioral and mental health in different endemic areas. This study aimed to describe screen time (ST), physical activity (PA), and depressive symptoms, as well as their associations among Chinese college students according to different epidemic areas. Methods The study design is cross-sectional using online survey, from 4 to 12 February 2020, 14,789 college students accomplished this online study, participants who did not complete the questionnaire were excluded, and finally this study included 11,787 college students from China. Results The average age of participants was 20.51 ± 1.88 years. 57.1% of the college students were male. In total, 25.9% of college students reported depression symptoms. ST > 4 h/day was positively correlated with depressive symptoms (β = 0.48, 95%CI 0.37–0.59). COVID-19ST > 1 h/day was positively correlated with depressive symptoms (β = 0.54, 95%CI 0.43–0.65), compared with COVID-19ST ≤ 0.5 h/day. Compared with PA ≥ 3 day/week, PA < 3 day/week was positively associated with depression symptoms (β = 0.01, 95%CI 0.008–0.012). Compared with low ST and high PA, there was an interaction association between high ST and low PA on depression (β = 0.31, 95%CI 0.26–0.36). Compared with low COVID-19ST and high PA, there was an interaction association between high COVID-19ST and low PA on depression (β = 0.37, 95%CI 0.32–0.43). There were also current residence areas differences. Conclusions Our findings identified that high ST or low PA was positively associated with depressive symptoms independently, and there was also an interactive effect between ST and PA on depressive symptoms.

scholarly journals Frailty Status Moderates the Association Between Self-Efficacy and the Intention to Technology Use

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 660-660
Author(s):  
Miseon Kang ◽  
Si Young Song ◽  
Inhye Jung ◽  
YoonMyung Kim ◽  
Chang Oh Kim ◽  
...  
Keyword(s):  
Older Adults ◽  
Technology Acceptance ◽  
Technology Use ◽  
Self Efficacy ◽  
Online Survey ◽  
Intention To Use ◽  
Continuous Variables ◽  
Frailty Status ◽  
The Status ◽  
Acceptance Model

Abstract This study examined how the status of frailty moderated the association between the self-efficacy about gerontechnology use and the intention to use gerontechnology (IUG) among Korean older adults. In this study, gerontechnology devices referred to exoskeleton robots for exercise. The data was collected through an online survey in February 2021, and 324 Korean older adults aged 65 and above were included in the analysis (Women: 50.9%, Men: 49.1%). The dependent variable was the intention to use gerontechnology from the Almere model (Heerink, 2010) and the independent variable was self-efficacy about gerontechnology use from the Senior Technology Acceptance Model(Chen & Chan, 2014). Both were measured as continuous variables. The moderating variable was the status of frailty (Non-frail=0, Frail=1). Age, gender, education level, and log-transformed household income were controlled for. Multiple linear regression to examine moderation effect was conducted using PROCESS Macro model 1. The findings showed that frailty status moderates the association between self-efficacy and IUG among Korean older adults. Concretely, the higher self-efficacy about gerontechnology use, the lower IUG for non-frail Korean older adults. However, the main effect of self-efficacy was non-significant for the frail sample. Even though self-efficacy has been known to affect the variables related to technology use or acceptance positively, the results suggest that there may exist differences in research results depending on participants' health status. The type of gerontechnology devices may also have affected the results. Further exploration is needed to the interaction effects of potential influencing factors on the gerontechnology acceptance model.

scholarly journals HOW THE COVID-19 CRISIS IS AFFECTING CUSTOMERS’ INTENTION TO USE ISLAMIC FINTECH SERVICES: EVIDENCE FROM INDONESIA

2021 ◽  
Vol 7 ◽  
Author(s):  
Dety Nurfadilah ◽  
Sudarmawan Samidi
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Government Support ◽  
Consumer Attitude ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
The Impact

The objective of this study is to investigate the factors that are affecting customers’ intention to use Islamic FinTech services during the Covid-19 crisis. It expands the technology acceptance model (TAM) by adding government support as a new variable for the context of Islamic FinTech services during the pandemic. Using TAM as a framework, we propose a model outlining the impact of government regulation, perceived usefulness, perceived ease of use, perceived trust, and user innovativeness on consumer attitude behaviour and the intention to use Islamic FinTech services, such as payment and peer-to-peer lending. 220 sets of data were collected from an online survey and analysed using partial least squares-structural equation modelling (PLS-SEM). The results show that government support for Islamic FinTech during the Covid-19 pandemic has had an indirect impact on attitude behaviour in using Islamic services through perceived ease of use and perceived usefulness. Attitude behaviour was found to have an impact on intention.

scholarly journals Assessing Students’ Attitude and Intention to Use M- learning in Higher Education

2018 ◽  
Vol 2 (2) ◽  
Author(s):  
J Hajiyev
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Information And Communication Technologies ◽  
Moderating Effect ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Significant Implication ◽  
Relationship Of ◽  
The Relationship

Mobile learning (m-learning) is a key solution for education in order to improve the learning effectiveness of students. Increasing mobile penetration in the world, particularly among the young generation urges the investigation of the factors affecting m-learning use in higher education institutions. The primary aim of this paper is to utilize general extended technology acceptance model for e-learning (GETAMEL) developed by Abdullah and Ward (2016) to examine the factors driving the undergraduate students’ attitude and intention to use m-learning in Azerbaijan with the moderating effect of Technology innovativeness (TI). The study used a survey conducted across the under- graduate students in the 7 universities located in the Baku city. The survey questionnaire was used to collect valid data from 698 samples. The Structural Equation Modelling (SEM) results revealed that Experience (XP), Subjective norms (SN), Enjoyment (ENJOY), Information and communication technologies anxiety (IC-TA), and Self-efficacy (SE) significantly influence Perceived Usefulness (PU), while only XP and ICTA have an impact on Perceived ease of use (PEOU). It did not affect PU of m-learning. TI was found to have moderating effect on the relationship of PEOU and PU with Attitude (ATT), but not the relationship of ATT with Intention (INT). This study filled the gap in the m-learning literature in Azerbaijan, and provided significant implication for both academic and government institutions willing to increase the penetration of ICT technologies and m-learning in higher education.

scholarly journals Understanding the consumer’s intention to use the e-wallet services

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shaizatulaqma Kamalul Ariffin ◽  
Mohamad Fakhrul Reza Abd Rahman ◽  
Ali Mughal Muhammad ◽  
Qi Zhang
Keyword(s):  
Technology Acceptance ◽  
User Satisfaction ◽  
Online Survey ◽  
Perceived Value ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Integrative Approach ◽  
Intention To Use ◽  
Content Type ◽  
The Relationship

Purpose The purpose of this paper is to investigate the key factors that explain intention to use e-wallet services (perceived usefulness, perceived ease of use, attitude, subjective norm, positive disconfirmation and perceived behavioral control). The moderating role of perceived value in the relationship between satisfaction and their intention to continue using the e-wallet is also examined. Methodology A total of 257 e-wallet users participated in an online survey and hypotheses were tested with SPSS/PLS-SEM. Findings The constructs technology acceptance model (TAM), theory of planned behavior (TPB) and user satisfaction affect intention to use. However, perceived value does not strengthen the relationship between user satisfaction and e-wallet usage intention. Practical implications The TAM, TPB and expectancy disconfirmation model (EDM) constructs help explain the use of e-wallet services. These results will help the providers of these services to understand user behavior and to design their marketing strategies more appropriately to ensure consumer satisfaction and their intention to use e-wallet services. Originality This study adopts a holistic and integrative approach to explain the continued use of e-wallet services. The model integrates three basic adoption theories: TAM, TPB and EDM.

scholarly journals Examining the Perception and Use of Open Crime Data from a Citizen Perspective

2019 ◽  
Vol 10 (1) ◽  
pp. 46
Author(s):  
Mei Jen Hung ◽  
Wan-Hua Hsieh
Keyword(s):  
Technology Acceptance ◽  
Citizen Participation ◽  
Online Survey ◽  
Open Data ◽  
Public Information ◽  
Ease Of Use ◽  
Future Research ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Crime Data

The disclosure of public information is an important issue in government practice. Freely used and accessible data produced by government bodies presumably encourages citizen participation and makes government more transparent and accountable. However, there is limited evidence that citizens would take advantage of open data and on what drives that usagee. This study expands the technology acceptance model to take into account citizens’ perception of open data’s potential societal risks as well as potential advantages to society and the advantages of delivering positive social outcomes. The analysis of results fromof an online survey conducted in Taiwan in May 2017 confirms that a majority of respondents agree that open crime data has advantages compared with aggregate-level statistical data, while risks involved in the adoption of open crime data is are indeed a concern for a majority of respondents. Both help to explain citizens’ intentions of using to use open crime data. Citizens’ perception of usefulness is positively related to their intention to use open data. However, perceived ease of use of open crime data is not significantly associated with the intention to use open crime data directly. Future research should consider other ways to reach citizens who do not use the internet regularly. A better understanding of citizens’ responses to open data helps government design continued improvements to open data.

Adoption of Cloud Computing Amongst Indian SMBs: An Extension of TAM Framework

2015 ◽  
Vol 4 (1) ◽  
Author(s):  
Vibhava Srivastava ◽  
Saurabh Dewan
Keyword(s):  
Cloud Computing ◽  
Technology Acceptance ◽  
Online Survey ◽  
Study Data ◽  
Ease Of Use ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Wide Range ◽  
Managerial Implications ◽  
Medium Businesses

Cloud computing has been gaining recognition amongst enterprises due to its wide range of applications. Its adoption is found to be driven by factors like industry, geography, size of organization, and nature of business etc. Gradually researchers started exploring adoption of cloud computing from users perspective particularly behavioral factors driving the same. The present study intends to explore different behavioral predictor of intention to use cloud computing, by adopting the recent Technology Acceptance Model (TAM) 3 developed by Venkatesh & Bala (2008). A total of 100 users who are involved in purchasing computing solutions or are key stakeholders/decision-makers of Indian Small and Medium Businesses (SMBs) constituted the sample for this study. Data collection was done through online survey. The findings suggest that perceived ease of use has significant effect on attitude towards usage which subsequently affects intention to use cloud computing. The findings are consistent with the previous researches on technology adoption factors. At the end, the theoretical and managerial implications of the study are discussed.

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