Determination of Factors Influencing Behavioural Intention to Use the Mobile Wallet

2021 ◽  
pp. 88-97
Author(s):  
Mohd Zailani Othman
Keyword(s):  
Behavioural Intention ◽  
Intention To Use ◽  
Factors Influencing

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.

The Factors Influencing Tourists’ Behavioural Intention-to-Use Grab Pay Application

2021 ◽  
pp. 1-10
Author(s):  
Nik Alif Amri Nik Hashim ◽  
Wan Farha Wan Zulkiffli ◽  
Abdullah Muhamed Yusoff ◽  
Harnidah Samengon ◽  
Eni Noreni Mohamad Zain ◽  
...  
Keyword(s):  
Behavioural Intention ◽  
Intention To Use ◽  
Factors Influencing

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.

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