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EN
Purpose: Smart water meters (Internet of Things based) are technologically advanced tools delivering precise data on water consumption in a household. However, it has not been examined yet what influences consumer intention to adopt smart water meters. The study objective is to investigate predictors of consumer intention to install smart water meters. The Technology Acceptance Model was applied as the main theoretical framework. Design/methodology/approach: Data were collected from 366 respondents through an online survey conducted in 2021. Structural equation modeling was used for hypotheses verification. Findings: The intention to adopt smart water meters was mainly predicted by attitude towards the use of smart water meters. which, in turn, was predicted both by perceived ease of use and by perceived usefulness of these devices. The direct positive impact of perceived ease of use on the intention to adopt smart water meters was also found, whereas the direct relation between perceived usefulness of smart water meters and the intention for the adoption turned out to be statistically insignificant. Research limitations/implications: One research limitation is the probable lack of smart water meter usage among the responders, which may have affected their perception on how these devices are useful and easy to use. Additionally, only the main variables of TAM were applied, thus, other variables were not considered that may have had impact on perceived usefulness and perceived ease of use or usage behavior. Social implications: Considering practical implications, by analyzing what may influence consumers to adopt smart water meters, we are able to apply this knowledge in real life and increase the amount of smart water meters in households, which may lead to household water reduction. Originality/value: In previous research. what influences consumers to apply smart water meters has not been examined. This research indicates variables (adopted by TAM) influencing consumers to apply smart water meters, potentially leading to reduction in household water consumption.
EN
We present a novel study concerning the attitudes of road transport enterprises towards a broad application of telematics in operational management in road transportation. The study aims to assess telematics application in road transport and its changes over time while showing the factors most likely to determine the systems’ use. Unobserved categories defined in the technology acceptance model (TAM) are adjusted to measure perceived usefulness, perceived ease of use, and attitudes toward using telematics systems by road transport managers. The study is based on 323 transport enterprises analyzed in two waves in 2020 and 2021. The use of two different time points is motivated by an observed increase in the digitalization of transport documents caused by the COVID-19 pandemic. The empirical findings support the TAM’s usefulness in evaluating IT in transport business management. The findings also reveal that the significantly increased telematics use in 2020 was observed while it was endured. The results are checked for robustness and used for simulations. The study compares managers’ behaviors over time and simulates the effect of individual (observed) variables on unobserved TAM categories.
EN
Autonomous vehicles (AVs) are receiving attention in many countries, including Thailand. However, implementing an intelligent transport system has many challenges, such as safety and reliability and the lack of policy supporting such technology use, leading to hazards for passengers and pedestrians. Hence, factors affecting the adoption of autonomous vehicles require better understanding. This research proposes and employs an extended Technology Acceptance Model (TAM) by integrating ethical standards, legal concerns, and trust to predict the intended use of autonomous vehicles by Thai citizens. A total of 318 questionnaires were collected from online panel respondents. Research hypotheses were tested using a structural equation modelling approach. The study results suggest that ethical standards have a significant positive effect on the intention to use the technology. Meanwhile, the intention was negatively affected by perceived usefulness, perceived ease of use and legal concerns. On the other hand, the results indicate that perceived ease of use directly affected trust, leading to AV adoption. However, other factors influenced trust insignificantly. This study demonstrates the vital role of trust in AV adoption. The study also suggests ideas for further study and discusses the implications for the government and autonomous vehicle companies. The article aims to forecast a success factor that the Thai government should use to consider the policy for autonomous vehicle adoption in Thailand. This paper relies on the technology acceptance model to assess and forecast autonomous vehicle adoption. The theoretical model also includes ethical issues, legal concerns and trust in technology. The model was analysed using the structure equation modelling technique to confirm the factor affecting Thailand’s successful autonomous vehicle adoption. This research confirmed that ethical standards, legal concerns, and trust in technology are the factors significantly affecting the intention to use an autonomous vehicle in Thailand. On the other hand, the perceived ease of use significantly affects the trust in autonomous vehicle technology. This research found that such social factors as ethical standards, legal concerns, and trust in technology affect technology adoption significantly, especially technology related to AI operation. Therefore, the technology acceptance model could be modified to confirm technology adoption in terms of social factors. The government could use the research results to develop a public policy for the regulation and standard supporting autonomous vehicle adoption in Thailand.
4
Content available remote Intention of Vietnamese Enterprises's digital transformation
EN
There have been many studies on digital transformation in recent times, but these studies focused on clarifying the concept, content, and implementation of digital transformation. There have not been many studies on the attitudes and intentions of enterprises to digital transformation (DT). This paper proposes factors affecting DT intention including perceived usefulness, trust, innovation, perceived risk to investigate attitudes about DT and examines the impaction of attitude and subject norms factors on the digital transformation intention of enterprises. A questionnaire designed and sent to 337 Vietnamese enterprises in different fields of activity. This study uses Structural Equation Model (SEM). The perceived usefulness, Innovation factors effect to the attitude possitively leading to the Intention of DT of enterprises, whereas the perception of pisk has a negative impact. Attitudes towards digital transformation and Subjective Norms have a positive impact on digital transformation intention. This paper helps Vietnamese government authorities to have a basis to promote and support Vietnamese enterprises in digital transformation.
EN
The primary purpose of the research is to examine and validate determinants of user intention to use AutoCAD software, utilising the constructs from prior studies in a more integrated model. The paper proposes a revised Technology Acceptance Model (TAM) for measuring the adoption of AutoCAD. In the study, a latent construct PPA (perceived physical accessibility) was added to the proposed research model as a new determinant of AutoCAD adoption. An online survey of AutoCAD users was conducted to collect data. This data was empirically used to test the proposed research model. The Structural Equation Modelling (SEM) technique was used to evaluate the causal model, and the confirmatory factor analysis was performed to examine the reliability and validity of the measurement model. The study results show that user behavioural intention to use AutoCAD is significantly affected by three determinants: perceived usefulness, perceived ease of use and perceived physical accessibility of the software. This finding contributes to an expanded understanding of the factors that promote acceptance of AutoCAD software. Moreover, the main contribution of this study is to verify the impact of the added PPA variable on the behavioural intention to use and the actual use of AutoCAD, and also to create measurement scales for this new latent variable in TAM.
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