scholarly journals Factors Influencing the Behavioural Intention towards Full Electric Vehicles: An Empirical Study in Macau

2015 ◽  
Vol 7 (9) ◽  
pp. 12564-12585 ◽  
Author(s):  
Ivan Lai ◽  
Yide Liu ◽  
Xinbo Sun ◽  
Hao Zhang ◽  
Weiwei Xu
2021 ◽  
pp. 026666692110641
Author(s):  
Najmul Hasan ◽  
Yukun Bao ◽  
Shah Jahan Miah ◽  
Alex Fenton

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.


Author(s):  
Yew-Ngin Sang ◽  
Hussain Ali Bekhet

The rationale of this study is to investigate the factors influencing electric vehicle usage intention in Malaysia. Empirical study using survey questionnaires are distributed to a judgment sampling of 500 drivers in Selangor and Federal Territories (Kuala Lumpur and Putrajaya). A research model based on the Theory of Planned Behavior was proposed as the underlying framework to realize the objective of the study. Linear regression-stepwise technique was used to test the research hypotheses. The results finding indicated that the electric vehicle usage intention in Malaysia is very much influenced by Environmental Concern, Consumer Knowledge, Psychological Benefits and Demographics. Hence, this paper provides valuable information for automotive players planning to market electric vehicles in Malaysia. It offers insights for formulation of marketing strategies that will address the real wants and needs of their future clients based on the identified factors in this study. Meanwhile, policy makers should formulate appropriate intervention and policies to encourage the growth of electric vehicles usage in Malaysia as a strategy to increase energy efficiency, reduce carbon emissions and minimize the reliance on fossil fuel in the automotive sector. Future study is suggested to be done to explore more factors that might influence public acceptance and to improve characterization of respondents by including more cities in Malaysia.Keywords: Public Acceptance; Usage Intention; Electric Vehicles; Malaysia.


Mousaion ◽  
2020 ◽  
Vol 38 (2) ◽  
Author(s):  
Kehinde Abayomi Owolabi ◽  
Basirat.Olubukola Diyaolu ◽  
Nurudeen Adeniyi Aderibigbe ◽  
Mudasiru A Yusuf

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.


Procedia CIRP ◽  
2016 ◽  
Vol 48 ◽  
pp. 352-357 ◽  
Author(s):  
Wen Li ◽  
Patrick Stanula ◽  
Patricia Egede ◽  
Sami Kara ◽  
Christoph Herrmann

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