Factors influencing the young physicians’ intention to use Internet of Things (IoT) services in healthcare

2021 ◽  
pp. 026666692110641
Author(s):  
Najmul Hasan ◽  
Yukun Bao ◽  
Shah Jahan Miah ◽  
Alex Fenton
Keyword(s):  
Internet Of Things ◽  
Empirical Study ◽  
Structural Equation ◽  
Healthcare Services ◽  
Integrated Model ◽  
Behavioural Intention ◽  
Relative Advantage ◽  
Intention To Use ◽  
Factors Influencing ◽  
Young Physicians

The Internet of Things (IoT) enabled technologies to have proliferated due to their abilities to capture and exchange quality information. This empirical study aims to investigate the factors influencing the intention to use IoT services in healthcare by young physicians. An integrated model based on the theory of planned behaviour (TPB) and diffusion of innovations (DOI) theories are drawn upon and analyzed through a Structural Equation Modelling (SEM) with importance-performance map analysis (IPMA). Data were collected through a structured survey questionnaire. The results indicated that behavioural intention to use IoT in healthcare services vastly affected by the attitude and value co-creation. Attitude was found to be a principal determinant followed by the relative advantage towards behavioural intention to use IoT services. The novelty of this empirical study is that the proposed integrated model provides a meaningful application of the young physicians’ intention to use IoT in healthcare in developing countries.

scholarly journals Factors Influencing Consumer Acceptance of Internet of Things Technology

2017 ◽  
pp. 186-201 ◽  
Author(s):  
Chung Sim Liew ◽  
Ju Min Ang ◽  
Yee Teen Goh ◽  
Wai Kin Koh ◽  
Shy Yin Tan ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Technology Acceptance ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Consumer Acceptance ◽  
Intention To Use ◽  
Additional Information ◽  
Factors Influencing ◽  
Acceptance Model ◽  
Internet Of Things Technology

The aim of this research is to examine factors influencing consumer acceptance of Internet of Things Technology (IoT) guiding by the Technology Acceptance Model (TAM). This quantitative research involves 204 respondents approached via convenience sampling at a public higher learning institution. Data was analyzed using multiple regression and results revealed that the dimension of perceived usefulness is the most influencing factor on the consumers' acceptance of IoT technology and consumers' behavioural intention to use. In the Malaysian context, this research provides additional information in narrowing the research gap with regard to understanding behavioural intention to use the IoT technology. Next, the framework will be used for future exploration to address the issue of people who have never utilized an IoT innovation react.

scholarly journals Factors influencing behavioural intention to use MOOCs

2021 ◽  
Vol 13 (2) ◽  
pp. 83-95
Author(s):  
Bilal Khalid ◽  
Marcin Lis ◽  
Wornchanok Chaiyasoonthorn ◽  
Singha Chaveesuk
Keyword(s):  
Absorptive Capacity ◽  
Structural Equation ◽  
Online Courses ◽  
New Technology ◽  
Behavioural Intention ◽  
Primary Data ◽  
Intention To Use ◽  
Factors Influencing ◽  
Learning Programs ◽  
Facilitating Conditions

Abstract This analysis aimed to investigate the factors influencing the behavioural intention to use Massive Open Online Courses (MOOCs) in Thailand and Pakistan. The study was geared towards exploring the MOOCs, a relatively new technology platform allowing the spread of education and learning in various areas and fields and surpassing traditional online courses. The study adopted the UTAUT model with additional two variables of perceived autonomy and absorptive capacity. A quantitative method was applied using primary data collected from a sample of 490 and 513 respondents from Thailand and Pakistan, respectively. The sample size was composed of students in institutions of higher learning who were aware of MOOCs or intended to use them in their studies. The analysis was conducted using the Confirmatory Factor Analysis (CFA) and multi-group structural equation modelling (SEM). The study found that four variables (social influence, absorptive capacity, facilitating conditions and perceived autonomy) significantly influence the student intention to use MOOCs in Thailand and Pakistan. However, two variables (performance expectancy and effort expectancy) did not influence the student intention to use MOOCs in Thailand and Pakistan. The results indicated that the findings between the two countries were invariant. This study extended the model by Venkatesh et al. (2003), including two additional variables, the perceived autonomy and absorptive capacity. The study indicated various aspects related to the response of students using MOOCs. This study is especially beneficial during the COVID-19 pandemic for determining factors that officials of higher institutions of learning should consider when implementing MOOCs and associated online learning programs to deliver quality education to students.

scholarly journals Factors influencing the usage of XBRL tools

2021 ◽  
pp. 1345-1356 ◽  
Author(s):  
Badi Salem Rawashdeh ◽  
Awni Rawashdeh
Keyword(s):  
Direct Effect ◽  
Financial Reporting ◽  
Structural Equation ◽  
Online Survey ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Performance Expectancy ◽  
Factors Influencing ◽  
Effort Expectancy ◽  
And Performance

This study established and empirically validated a model for predicting factors influencing users' behavioural intentions for using XBRL tools. This study explored the behavioural intention of using XBRL tools from the point of view of users by applying the UTAUT model with the addition of trust and satisfaction. An online survey was conducted by using the modified study model to comply with the research objectives. An online survey of 267 respondents obtained and analysed using structural equation modelling (SEM) and IBM SPSS AMOS. The findings show that trust and satisfaction influenced behavioural intent significantly and positively. In turn, the effort expectancy and performance expectancy had a significant impact on satisfaction. The results showed that in the presence of satisfaction there was no direct effect of effort expectancy and performance expectancy on the behavioural intention to use XBRL tools and the emergence of a direct effect of confidence on the behavioural intention to use XBRL tools. The findings correspond with the previous studies and provide a practical reference for XBRL tool developers and decision-makers involved in developing and using XBRL tools for tagging and analysing financial reporting.

scholarly journals Factors Influencing Consumer Acceptance of Internet of Things Technology

2017 ◽  
pp. 71-86 ◽  
Author(s):  
Chung Sim Liew ◽  
Ju Min Ang ◽  
Yee Teen Goh ◽  
Wai Kin Koh ◽  
Shy Yin Tan ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Technology Acceptance ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Consumer Acceptance ◽  
Intention To Use ◽  
Additional Information ◽  
Factors Influencing ◽  
Acceptance Model ◽  
Internet Of Things Technology

The aim of this research is to examine factors influencing consumer acceptance of Internet of Things Technology (IoT) guiding by the Technology Acceptance Model (TAM). This quantitative research involves 204 respondents approached via convenience sampling at a public higher learning institution. Data was analyzed using multiple regression and results revealed that the dimension of perceived usefulness is the most influencing factor on the consumers' acceptance of IoT technology and consumers' behavioural intention to use. In the Malaysian context, this research provides additional information in narrowing the research gap with regard to understanding behavioural intention to use the IoT technology. Next, the framework will be used for future exploration to address the issue of people who have never utilized an IoT innovation react.

Factors Influencing the Adoption of Electronic Information Resources among Postgraduate Students in Nigerian Universities

Mousaion ◽  
2020 ◽  
Vol 38 (2) ◽  
Author(s):  
Kehinde Abayomi Owolabi ◽  
Basirat.Olubukola Diyaolu ◽  
Nurudeen Adeniyi Aderibigbe ◽  
Mudasiru A Yusuf
Keyword(s):  
Information And Communication Technologies ◽  
Digital Libraries ◽  
Structural Equation ◽  
Information Resources ◽  
Behavioural Intention ◽  
Electronic Information ◽  
Cross Sectional ◽  
Postgraduate Students ◽  
Factors Influencing ◽  
Electronic Information Resources

The advent of information and communication technologies (ICTs) has revolutionised how library resources are made and transmitted to end-users. It has effectively improved the standard of education and research in tertiary institutions worldwide by providing various essential resources, including e-books, journals and databases. However, it has been observed that students still abstain from making the best usage of the digital library, instead using search engines rather than institutional digital libraries. This study investigated the factors influencing the behavioural intention of postgraduate (PG) students to use electronic information resources (EIRs). The Unified Theory of Acceptance of Technology (UTAUT) model was adopted. A cross-sectional research design was used to assess the factors influencing the use of EIRs. A sample of 362 PG students was determined using a Monte Carlo simulation approach. Data were collected from participants via the administration of 400 copies of the questionnaire. Confirmatory Factor Analysis (CFA) and the Covariance-Based Structural Equation Modelling (CB-SEM) were used to analyse data collected. The findings revealed that performance expectancy (PE) and effort expectancy (EE) were the two constructs that influenced PG students’ behavioural intention to use EIRs. In contrast, social influence (SI) and facilitating condition (FC) did not change the PG students’ behavioural plan to use EIRs. The study recommended the need for adequate training for postgraduate (PG) students on the obligation to accept and use EIRs.

Factors influencing consumer's adoption of internet of things: an empirical study from Indian context

2021 ◽  
Vol 24 (3) ◽  
pp. 315
Author(s):  
Parul Bajaj ◽  
Fatehi Almugari ◽  
Mosab I. Tabash ◽  
Majed Alsyani ◽  
Imran Saleem
Keyword(s):  
Internet Of Things ◽  
Empirical Study ◽  
Factors Influencing ◽  
Indian Context

An Empirical Study of Factors Influencing Consumer Attitudes towards SMS Advertising

2014 ◽  
Vol 4 (3) ◽  
pp. 1-13 ◽  
Author(s):  
Pradeep Dharmadasa ◽  
Thilini Alahakoon
Keyword(s):  
Empirical Study ◽  
Structural Equation ◽  
Business Management ◽  
Consumer Attitudes ◽  
Predictor Variables ◽  
Outcome Variable ◽  
Factors Influencing ◽  
Central Route ◽  
Customer Attitudes ◽  
The University

This article examines factors influencing consumer attitudes towards SMS advertising. The study's research framework was conceptualized using five predictor variables – informativeness, irritation, privacy, credibility, and incentives – and an outcome variable of consumer attitudes towards SMS advertising. The informativeness, irritation, and privacy was labelled as central route constructs and credibility and incentives were labelled as peripheral route constructs. Survey data collected from 251 mobile users selected from a cohort of undergraduates in business management from the University of Colombo, Sri Lanka, were analyzed using the Structural Equation Method (SEM). Results suggest that the informativeness and incentive variables are positively associated with customer attitudes towards SMS advertising, whereas irritation and privacy are found to be negatively associated with consumer attitudes towards SMS advertising. Surprisingly, credibility was found to be an insignificant factor predicting consumer attitudes towards SMS advertising. Several implications for consumer attitudes towards SMS advertising are discussed.

Employee Behavioral Intentions in Adopting Information Technology

2013 ◽  
pp. 73-87
Author(s):  
Anastasia A. Katou ◽  
Margarita A. Vogiatzi
Keyword(s):  
Information Technology ◽  
Structural Equation ◽  
New Technologies ◽  
Hotel Industry ◽  
National Sample ◽  
Employee Attitudes ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Managerial Experience ◽  
The Impact

This study investigates the impact of perceived information technology (IT) beliefs on behavioural intention to use IT. The study is based on a national sample of 18 organisations from the private hotel industry in Greece, and on data obtained from 215 employees. The statistical method employed is structural equation modelling. The findings of the study suggest that employee attitudes positively and fully mediate the relationship between perceived IT beliefs and behavioural intention to use IT. Furthermore, it suggests that this relationship is influenced by individual factors such as task-technology fit, self-efficacy, individual contingencies, and social factors such as subjective norm. Finally, the study argues that women, younger people, well-educated employees, and people with managerial experience are keen in adopting new technologies in the hotel industry in Greece.

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