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All-electric aircraft (AEA) have garnered significant attention due to their potential to achieve zero carbon emissions and reduce noise pollution, contributing to global environmental sustainability. This study examines consumer behavioural intentions toward AEA in Guangdong, China, using the Theory of Planned Behavior (TPB) as the theoretical framework. Data were collected through structured questionnaires distributed to 100 potential adopters, assessing their awareness, influencing factors, and willingness to adopt the technology. Structural Equation Modeling (SEM) was employed to analyse the responses. The findings indicate that consumers’ attitudes, subjective norms, and environmental concerns positively influence their adoption of AEAs. Interestingly, perceived behavioural control and perceived risk were found to have no significant effect. These insights offer practical implications for accelerating AEA adoption in Guangdong's aviation sector. For airlines, the results highlight the importance of emphasising environmental benefits and social endorsements in marketing campaigns. Manufacturers can strengthen safety perceptions to align with consumer expectations, while policymakers may consider infrastructure investments to mitigate adoption barriers. Collectively, these measures could foster broader acceptance of AEAs, supporting regional decarbonisation goals in the regional air transport sector.
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ARTeFACTo is a transdisciplinary studies journal and conference centered around the concept of digital media and computer artifacts, which were the genesis of its name. It aims to give visibility to all digital media and technology-based artifacts, creators, or contributors from a transdisciplinary, humanistic, and holistic perspective of integration and composition. The main objective is constructing and disseminating knowledge through descriptions of artistic practice, authorship or co-authorship (including the narration and description of other works), and graphic data (images, diagrams, animations, drawings, sketches). The Journal is open to international contributions from all those studying digital media/computer artifacts, embracing their conceptualization, design, creative and research processes, computational implementation, exhibition and fruition, and role in today’s information and knowledge society. Also welcomed are articles fostering the establishment of the conceptual foundations of an artifact theory in the digital media world. Accepted articles shall be original (in compliance with the standards of conduct of the COPE – Code of Conduct and Good Practices) in Portuguese and English, with a mandatory abstract in English. The Conference has the same goals as the Journal but provides a specific floor for the concrete exhibition of artifacts along with their presentation and discussion. All submissions will be evaluated by peer review, including two advisors from the Scientific Council. All feedback will be sent to the authors, indicating their approval, refusal of publication, or requests for correction or recast. The authors will be notified of the publication once the entire selection process has been completed. ARTeFACTo is a joint project between Artech International and Universidade Aberta.
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While the initial adoption of technology is widely studied, the factors driving its long-term retention remain a critical gap. This research shifts the focus from adoption to sustained use by applying the Model for Sustained Technology Use (MSTU) to investigate generative AI engagement among Vietnamese university students. A cross-sectional survey of 100 students measured the key constructs of Habit, Satisfaction, and Perceived Usefulness, as well as their impact on Sustained Technology Use. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that Habit is the strongest direct predictor of sustained use, surpassing the influence of Perceived Usefulness (PU). While PU drives initial adoption, its effect diminishes over time, whereas Satisfaction (ST) plays a crucial mediating role in long-term engagement. These results challenge the prevailing assumption that perceived usefulness alone is sufficient to ensure long-term success. The study offers key implications for researchers and practitioners, emphasizing the importance of designing AI educational tools that seamlessly integrate into and adapt to user workflows to promote habitual use. For educators and developers, this means prioritizing features that create engaging, positive, automatic user experiences to ensure generative AI remains a retained educational resource, not a momentary novelty.
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The pandemic exposed weaknesses in the global trade system, making it clear that climate actions are the priority in the recovery. International organizations are urging countries to seize this opportunity and integrate climate-friendly trade and investment rules to promote sustainable development. Trade is recognized as a powerful tool for tackling climate change, offering economies ways to both reduce emissions and adapt to environmental changes. In this paper, we investigate the digital and sustainable trade facilitation measures implemented in ASEAN countries, namely Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, the Philippines, Singapore, Thailand, and Vietnam. We use a well-established trade model, the gravity model, to assess the impacts of trade facilitation efforts, particularly those that leverage digital technologies and promote sustainability. The data for this analysis comes from the UN Global Survey on digital and sustainable trade facilitation in 2017, 2019, and 2021. The results show that trade facilitation measures are crucial to increasing trade among the ASEAN countries. Measures of transparency of trade procedures, trade formality alleviation, and cross-border paperless trade have significant positive impacts on bilateral trade between ASEAN countries.