http://hdl.handle.net/10071/15080 2026-04-21T13:34:14Z http://hdl.handle.net/10071/36964 Título próprio: A systematic literature review on Web3 applications in trucking logistics: Impacts and emerging trends in logistics 5.0 Autoria: Čale, D.; Ferreira, J. C.; Madureira, A.; Coutinho, C. Resumo: Web3 technologies, representing the next generation of a decentralised and user-centric Internet, offer innovative solutions to enhance adaptability, sustainability, and resilience in logistics systems aligned with the principles of Logistics 5.0. This study conducts a Systematic Literature Review (SLR) following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, analysing peer-reviewed journal articles published between 2018 and 2024 and retrieved from Scopus, Web of Science Core Collection, IEEE Xplore, and ACM Digital Library. The review specifically focuses on trucking logistics, a sector characterised by high fossil-fuel dependency, operational fragmentation, and significant environmental impact. The findings reveal that Artificial Intelligence and Internet of Things technologies dominate current implementations, mainly supporting fleet management, route optimisation, accident prevention, and risk assessment. In contrast, blockchain applications remain limited, and metaverse-based solutions are largely exploratory and confined to training scenarios. Key research gaps include the scarcity of integrated Web3 solutions, the limited consideration of human-centric Logistics 5.0 dimensions, and the lack of large-scale empirical validation in real-world trucking operations. Based on the analysis, this paper proposes a conceptual framework that maps Web3 technologies to trucking logistics areas, investment priorities, and Logistics 5.0 objectives, offering actionable guidance for Logistics Service Providers transitioning from Logistics 4.0 to Logistics 5.0. 2026-01-01T00:00:00Z http://hdl.handle.net/10071/36913 Título próprio: Network algorithm to model automotive supply chain structure Autoria: Barros, J.; Turner, C. Resumo: A network algorithm that models the structure of automotive supply chains, compiled from a proprietary database, is presented. An initial structural analysis was conducted using key performance indicators, including average path length, clustering coefficient, and degree distribution, to assess network configurations. The networks were then partitioned into subnetworks, with an emphasis on reflecting the operational dynamics of supply chain activities. Regression analysis was applied to each subnetwork, using the number of vertices as the independent variable, to develop an algorithm for generating synthetic networks. These synthetic constructs serve as benchmarks for the automotive sector and have shown a strong average correlation (0.94) with the structure of actual supply networks. This methodological contribution provides tools for analysing and optimising supply chain structures that underpin automotive engineering and manufacturing, ensuring robustness and efficiency in vehicle production systems. The prevalence of tree-like structures within supply networks challenge conventional beliefs regarding the complexity of automotive supply chains and prompts further investigation into the determinants of their resilience. 2026-01-01T00:00:00Z http://hdl.handle.net/10071/36684 Título próprio: Patient satisfaction in the digital health era: Digital literacy and digital inclusion perspective under the Donabedian framework Autoria: Geada, N.; Alturas, B. Resumo: The digital transformation of healthcare services is redefining how information is accessed and evaluated by citizens. While organizational progress is often measured by technical maturity, this study shifts the focus to the user’s perspective. Grounded in the Donabedian framework (Structure-Process-Outcome), we investigate how Digital Maturity (Structure) and Information Literacy/Inclusion (Process) culminate in Patient Satisfaction (Outcome). Using Structural Equation Modelling (SEM) with a sample of 212 participants, the results reveal that maturity acts as a catalyst for literacy, but satisfaction is strictly dependent on effective digital inclusion. This paper contributes to ‘Healthcare for Information’ by highlighting that technological infrastructure alone is insufficient without a robust healthcare strategy for health information users. 2026-01-01T00:00:00Z http://hdl.handle.net/10071/36623 Título próprio: Innovative adoption model for digital health technologies among elderly with chronic diseases: Integrating Unified Theory of Acceptance and Use of Technology and Knowledge-Attitude-Practice model in a survey of 1222 patients in Shanghai Autoria: Chen, Y.; Yuan, J.; Li, C.; Wang, H.; Shi, L.; Zhao, S.; Oliveira, A.; Zhao, L. Resumo: Objective To propose and test an innovative model by integrating the Unified Theory of Acceptance and Use of Technology and Knowledge-Attitude-Practice model to explain the mechanisms influencing the adoption of digital health technologies by elderly patients with chronic diseases from the perspective of both internal and external factors, promoting the acceptance and utilisation of digital health technologies among elderly chronically ill patients. Study design A face-to-face questionnaire survey was conducted from July to September 2023. Study setting The study was conducted in 12 medical institutions in Shanghai, including 6 tertiary hospitals, 3 secondary hospitals and 3 community hospitals. Participants 1222 participants aged 60 years or more, diagnosed with one or more of the following chronic diseases: essential hypertension, type 2 diabetes, coronary atherosclerotic heart disease, stroke and chronic obstructive pulmonary disease, were involved in the study using convenience sampling. Critically ill emergency patients and those who were involved in medical disputes were excluded. Outcome measure The behavioural intention and usage behaviour of older patients with chronic diseases to use digital health technologies. Results The explanatory power of the proposed model for behavioural intention was 72.9%. There is a significant negative association between technology anxiety and the intention to use digital health technologies among older patients with chronic diseases (?=−0.224, p<0.001); effort expectancy (?=0.530, p<0.001) and performance expectancy (?=0.193, p<0.001) were also significantly associated with intention to use digital health technologies. Men (?=−0.104, p=0.016), relatively younger (?=−0.061, p=0.005), with experience in using digital health technologies (?=−0.452, p<0.001) were more likely to translate behavioural intention into use behaviour. Conclusions Acceptance of digital health technologies among older patients with chronic diseases was associated with a combination of internal and external factors, with the former playing a dominant role. These valuable findings provided insights and inspiration for improving digital health technologies acceptance and utilisation among older patients with chronic diseases. 2026-01-01T00:00:00Z