Research methodology for novelty technology

Lai, P. C.

doi:10.4301/s1807-1775201815010

Cited by 7 publications

(10 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Diversified data analysis techniques were applied in the form of structural equational modelling (SEM) using AMOS and Python software to draw simulation results, which is one ubiquitous statistical technique. AMOS and computer-based software can predict good future directions [29,30]. Confirmatory factor analysis and structural models are used with the help of AMOS [31].…”

Section: Methodsmentioning

confidence: 99%

How Sustainable Transportation Can Utilize Climate Change Technologies to Mitigate Climate Change

et al. 2023

View full text Add to dashboard Cite

The build-up of greenhouse gases (GHGs) is causing warmness in the Earth’s atmosphere, resulting in climate change. The transport sector is one of the active causes of GHG emissions and it is imperative to use sustainable transport sources to control climate change. There is a measure that aims to encourage citizens to stop using their own vehicles as their choice of transport and instead opt for joint sustainable mobility during traveling. In this study, a quantitative research method was used and data were collected from a sample of 410 respondents through a questionnaire. Furthermore, this study also took a simulation-based (n = 10,000) sample size of electric rail vehicle data. The data were analyzed using structural equation modelling. The results revealed that sustainable transportation, climate change technologies, and electric rail vehicles reduce climate change in the ecoregions of China. We conclude that sustainable transportation policies could be formulated and implemented to reduce climate change. In response to the research results, it is recommended that, since climate change is a multi-level governance issue, the outdated pyramidal transport industry models must be shifted to a sustainable transportation system model.

show abstract

Section: Methodsmentioning

confidence: 99%

How Sustainable Transportation Can Utilize Climate Change Technologies to Mitigate Climate Change

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Diversified data analysis techniques were applied in the form of structural equational modelling (SEM) using AMOS and python software to draw simulation results which is one ubiquitous statistical technique. AMOS and computer-based software could predict good future direction [30,31]. Confirmatory factor analysis and structural model are used with the help AMOS [32].…”

Section: Methodsmentioning

confidence: 99%

How Sustainable Transportation Can Utilize Climate Change Technologies to Mitigate Climate Change

Din¹,

Rahman²,

Vega-Muñoz³

et al. 2023

Preprint

View full text Add to dashboard Cite

The build-up of greenhouse gases (GHGs) is causing warmness in the Earth’s atmosphere, resulting in climate change. The transport sector is one of the active members of GHG emissions and it is imperative to use sustainable transport sources to control climate change. The measure aims to encourage citizens to stop using their private vehicles as their choice of transport and instead opt for joint sustainable mobility during traveling. In this study, a quantitative research method was used and data were collected from a sample of 410 respondents through questionnaire. On the other hand, study also took a simulation-based (N=10000) sample size of private vehicle data. The data were analyzed using structural equation modelling. The results revealed that sustainable transportation, climate change technologies and electric rail vehicles reduce climate change in the ecoregions of China. We conclude that sustainable transportation policies could be formulated and implemented to reduce climate change. In response to the research results, it is recommended that, since climate change is a multi-level governance issue and the outdated pyramidal transport industry models must be shifted to a sustainable transportation system model.

show abstract

“…The authors developed the new model using four different determinants including the individual differences, system characteristics, social influence, and facilitating conditions which are determinants of perceived usefulness and perceived ease of use. Even though TAM has been tested widely with different samples in different situations and proved to be valid and reliable model explaining information system acceptance and use many extensions to the TAM have been proposed and tested (Venkatesh and Davis, 2000;Lai, 2018).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Mobile Banking Adoption Analysis in North Macedonia Using Tam

Blagoeva¹,

Mijoska²,

Trpkova-Nestorovska³

2020

Proceedings of the International Conference "Economic and Business Trends Shaping the Future"

View full text Add to dashboard Cite

Followed by the mobile technology development and high rate of mobile internet usage worldwide, mobile banking has become prominent technological innovation in the banking sector giving a competitive edge over traditional banking. Smartphones and mobile technologies are becoming increasingly available and affordable in North Macedonia in recent years, and many banks are providing banking services to customers via smartphones. The adoption of mobile banking in the country has not reached its full potential yet and has been at its early stage of adoption. However, not many studies investigate determinants of mobile banking adoption which may help banks to design more suitable mobile services for customers and increase the m-banking adoption in the country. This study is the first attempt to fill this gap by examining determinants that affect consumer intention to use mobile banking services in the country, as developing country. To get insights regarding the user adoption of m-banking services in the country, a survey was conducted among more than 150 mobile users. This study proposes a mobile banking user adoption research model based on the Technology Acceptance Model (TAM), and beside basic constructs (perceived ease of use, perceived usefulness and behavioral intention to use) it integrates social image, trust and risk that are specific for mbanking. The results of the empirical study are supporting the proposed basic constructs of the model and some specific relationships are unveiled. This research is a holistic approach representing a solid base for future studies on the adoption of new technologies in the country. Its originality and practical implications are reflected in determining the significance of additional constructs that are specific for m-banking. From practitioner’s viewpoint, this research offers valuable insights for developing m-banking solutions.

show abstract

Research methodology for novelty technology

Cited by 7 publications

References 24 publications

How Sustainable Transportation Can Utilize Climate Change Technologies to Mitigate Climate Change

How Sustainable Transportation Can Utilize Climate Change Technologies to Mitigate Climate Change

How Sustainable Transportation Can Utilize Climate Change Technologies to Mitigate Climate Change

Mobile Banking Adoption Analysis in North Macedonia Using Tam

Contact Info

Product

Resources

About