Digital service innovation for climate-resilient urban pavements: Decision-as-a-service linking UHI-aware ML to environmental-economic performance.

This paper examines how the Interoperable Europe Act (IEA) shapes the legal framework for the adoption of Free and OpenSource Software (FOSS) in public education, specifically evaluating its contribution to advancing digital autonomy in this context. It argues that the IEA represents a landmark effort to build a more integrated and collaborative EU digital public sector by requiring interoperability across trans European digital public services and promoting the reuse of resources, with particular promise for the educational sector who has grown increasingly dependent on digital infrastructure provided by private technology companies. At the same time, the paper argues that the potential of the IEA to support digital autonomy in educational contexts is limited by its scope and by its failure to fully address key barriers to FOSS adoption in schools and universities, including complex procurement procedures, licensing challenges, and operational barriers within the educational sector. Ultimately, these limitations indicate that its impact is likely to remain modest unless complemented by broader reforms at the national and institutional levels.

The low level of financial literacy among adolescents has become a critical issue that requires serious attention, particularly for vocational high school (SMK) students who are beginning to manage their finances independently. Limited understanding of personal financial management can lead to consumptive behavior, weak saving habits, and increased vulnerability to the misuse of digital financial services. This Community Service Program aimed to enhance the financial literacy of SMK students through applicative and contextual education on personal financial management. The program was implemented at SMK IPTEK and involved 35 students as participants. The PKM activities were conducted by five lecturers from the Undergraduate Accounting Study Program of Universitas Pamulang on September 27, 2025. The implementation methods included interactive counseling sessions, participatory discussions, budgeting simulations, and the introduction of potential digital financial risks. Program evaluation was carried out by comparing students’ knowledge and skills before and after the activities. The results showed a significant improvement in students’ financial understanding and competencies, particularly in distinguishing between needs and wants, preparing simple personal budgets, and increasing awareness of digital financial risks. These findings indicate that structured and participant-oriented financial education is effective in improving financial literacy. This PKM program contributes to fostering responsible financial behavior among SMK students and is expected to serve as a sustainable community service model supported by schools and relevant stakeholders.

The rise of cybercrime in Indonesia’s digital financial services demands effective and communicative public education. This study aims to explore how educational communication messages for cybercrime prevention are represented in BCA’s “Don’t Know? Kasih No!” campaign published on YouTube. Using a qualitative content analysis approach, the study focuses on interpreting both verbal and visual message meanings based on Rice and Atkin’s Public Communication Campaign theory. Findings reveal that the campaign constructs digital security education through several key strategies: simplifying technical concepts, providing practical behavioral instructions, reinforcing vigilance through communicative visual elements, engaging the public in participatory message dissemination, and utilizing humor and nostalgia as cultural anchoring. This multidimensional approach successfully delivers messages that are not only informative but also persuasive and easily accepted across diverse societal groups.

Understanding the psychology of knowledge sharing and experience in digital service ecosystems.

Recovery support services (RSS) are an evidence-based approach to support recovery from substance use disorders, most often composed of peer-to-peer support, referrals to housing, job training, and other forms of prosocial engagement and activities. During the COVID-19 pandemic, RSS providers quickly converted in-person services to digital delivery to avoid disruption. It is unclear if this rapid conversion impacted the delivery of services or if this delivery model could enhance RSS reach and uptake more generally by extending the reach of RSS providers and offering an alternative delivery method and access point. The goal of this study was to identify how RSS providers in Texas adapted their services for digital delivery and to what extent, if at all, technology limitations (eg, lack of digital infrastructure) were present. We conducted an electronic survey of 85 RSS providers, assessing their current capacity and methods for the digital recovery support service (D-RSS), followed by semistructured online interviews with a subset of 20 respondents. Most survey respondents (74/85, 87.1%) used D-RSS, though they used many dated technologies, devices, and platforms for service delivery. Many respondents indicated that they use Zoom (Zoom Video Communications) videoconferencing to communicate with participants; however, providers also indicated that they must use several different technology platforms to accomplish their service delivery goals. Four main themes emerged from the interviews: (1) the impact of the COVID-19 pandemic on RSS, (2) barriers and facilitators to technology-delivered D-RSS, (3) awareness and expectations regarding the use of D-RSS, and (4) training needs to deliver D-RSS. RSS organizations have access to technology for D-RSS; however, the technology is often outdated. Because the pandemic required a rapid and unexpected shift to D-RSS to maintain and potentially expand access during a public health emergency, providers desire guidance for training staff and participants on how to best use technology. A subset of providers endorsed the potential of a unified platform for D-RSS delivery, especially for data capture. Most barriers to D-RSS identified by our respondents may be addressable through the streamlined deployment of technology resources, rigorous training and onboarding programs in best practices for providers and participants, and tailored implementation strategies for varying local contexts.

The emergence of the Unified Payments Interface (UPI) has transformed the digital payment ecosystem by enabling seamless, instant, and interoperable financial transactions across India. Its widespread acceptance has accelerated the shift toward cashless payments and increased the availability of digital financial services for millions of users. However, the rapid growth in transaction volume and user adoption has also created new opportunities for cybercriminals to exploit vulnerabilities within the digital payment infrastructure.Financial fraud associated with UPI platforms has become increasingly sophisticated, involving techniques such as phishing campaigns, fraudulent QR codes, identity impersonation, account hijacking, social engineering attacks, and the misuse of mule accounts. These evolving threats generate complex transaction patterns that are often difficult to detect using conventional rule-based security mechanisms. As fraud strategies continue to change, static detection systems struggle to provide accurate and timely identification of suspicious activities.Recent progress in Artificial Intelligence, Machine Learning, and Deep Learning technologies has significantly enhanced the capability of fraud detection systems. One of these developments has caught a lot of interest from researchers is hybrid deep learning methods that are able to integrate the benefits of several computational models. Several techniques can be combined in a unified approach for enhancing fraud detection, such as Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, Autoencoders, Graph Neural Networks (GNNs), Explainable Artificial Intelligence (XAI), and Federated Learning. These architectures enable real-time analysis, adaptive learning, privacy protection, and efficient management of large-scale transactional data. This review is based on the recent research and studies regarding the detection of fraudulent activities in UPI-based payment environment using hybrid deep learning techniques. It offers detailed evaluations of the current models, their strengths and weaknesses, explores current issues and challenges, and suggests areas of future work. These results suggest that hybrid deep learning architectures are promising to improve the security of digital payment systems through better detection accuracy, fewer false alarms, safeguarding sensitive user data, and greater transparency of automated decision-making. Thus, these wise frameworks are a valuable basis for developing safe, reliable, and trustworthy digital financial ecosystems

The introduction of digital systems in healthcare has been under discussion for over two decades. While implementation within individual facilities is well advanced, there is still considerable room for improvement in cross-facility data exchange. To describe the current state of digital connectivity and organizational frameworks in Germany and Austria. Analysis and description of the legal framework and the various initiatives in both countries. In Germany, the comprehensive introduction of an electronic health records in 2026 marks asignificant step toward increasing digitalization. While the current focus is primarily on documents and electronic medication, this structure could also prove useful for image data exchange in the future. Austria, on the other hand, created structures several years ago with the introduction of ELGA (electronic health records) that allow for more comprehensive digital communication. Consequently, more has already been achieved in terms of implementing Europe-wide EU recommendations. The status of national infrastructure implementation differs between the two countries. Overall, increasing acceptance has been observed in recent years. The European initiative for aEuropean Health Data Space (EHDS) could lead to further intensification of the integration of digital services and interoperability.

Exploring the impact of digital enabling data systems on the innovation performance of digital service firms: the roles of knowledge reconfiguration and knowledge inertia

Digital service innovation through data assetization: Enhancing supply chain resilience for corporate green transformation.

Promoting the transition toward green and low-carbon lifestyles is essential for advancing sustainable consumption and environmental sustainability. Based on 6903 valid survey responses from 19 digital household pilot regions in China, this study examines the relationship between household digitalization and green and low-carbon lifestyles. A household digitalization level (HDL) index is constructed using the entropy method across five dimensions: digital network services, digital infrastructure, digital literacy, digital skills, and digital applications. The empirical results show that higher HDL is positively associated with the adoption of green and low-carbon lifestyles, and this association remains robust across a series of sensitivity analyses. Exploratory mechanism analysis indicates that HDL is linked to green and low-carbon lifestyles through improved satisfaction with digital smart technologies and enhanced environmental awareness. Heterogeneity analysis shows that this association is stronger among larger households, urban and suburban households, and households with development-oriented consumption, but weaker among smaller, rural, and subsistence-oriented households. These findings provide micro-level evidence supporting the exploration of the linkage between household digitalization and sustainable household consumption and the coordinated development of digitalization and environmental sustainability.

The implementation of self-service automation technology is acknowledged as an essential strategy to enhance service quality and profitability in the fast-food industry. This study, informed by Cognitive Appraisal Theory, examines the factors influencing the continuing intention to use smart self-service automated kiosks among Thai young adults. Based on Partial Least Squares-Structural Equation Modeling, the study found substantial empirical evidence linking perceived responsiveness, customization, convenience, and innovativeness with attitudes toward smart self-service technologies, which then affect continuous usage intentions. Interestingly, perceived functionality, interface design, and payment security did not significantly influence attitudes toward smart self-service technologies. The current study enhances both theoretical and practical comprehension of the elements influencing prolonged technology utilization in the digital service domain. Theoretically, the findings highlight the essential importance of smart self-service technology (SST) features in maintaining user engagement with smart kiosks. This study offers significant implications for fast-food companies, highlighting the necessity to improve customer sentiment through dependable and intuitive kiosk interfaces. Subsequent study ought to investigate these links within diverse demographic contexts and employ longitudinal methodologies to track the progression of user behaviors.

Integrating an ethic of care into the design of digital bereavement services: a care-oriented approach

The Society for the Study of Ethnic Relations and International Migration (ETMU) recently held their 22nd conference, which took place at the University of Helsinki. The planning for and organisation of the ETMU conference was led by members of the Trust-M project, a research initiative funded by the Strategic Research Council of Finland and encompassing different universities (University of Helsinki, Tampere University, Aalto University), with the aim being to create inclusive, accessible and trustworthy digital public services specifically for migrants in Finland.

This study aimed to assess the feasibility and short-term comparative outcomes of a community-based BES rehabilitation program assisted by a digital service package for postmenopausal women with PFD, and to explore whether pelvic floor muscle strength outcomes were compatible with a prespecified exploratory margin compared with tertiary hospital care. We conducted a non-randomized controlled study involving 200 community-dwelling postmenopausal women with PFD. Participants in the intervention group received community-based BES plus a digital service package, while contemporaneous controls received standard BES care at a tertiary hospital. Follow-up lasted 1 month. Because treatment allocation was non-randomized, doubly robust estimation and multivariable regression were used to reduce measured confounding; findings should therefore be interpreted as exploratory rather than causal. The observed rate differences in improvement of Type I and Type II pelvic floor muscle strength were 0.008 and 0.054, respectively. The lower bounds of the 98.75% confidence intervals remained above the prespecified exploratory margin of - 0.20, suggesting that the observed differences were compatible with the prespecified exploratory margin in this exploratory analysis. While no significant between-group difference was found for self-perceived symptom severity, the intervention group was associated with higher self-reported adherence (β = 4.604, P < 0.001), health knowledge awareness (β = 24.419, P < 0.001), and quality of life (OR = 5.292, P = 0.023). Feasibility metrics were favorable, with a mean System Usability Scale score of 81.40. However, given the non-randomized design and the prespecified margin, these findings should be interpreted cautiously. This pragmatic, digital-assisted community-based rehabilitation program appears feasible and was associated with favorable short-term outcomes in postmenopausal women with PFD. Compared with tertiary hospital care, the integrated community-based program showed pelvic floor muscle strength outcomes that were compatible with the prespecified exploratory margin, while also being associated with higher self-reported adherence, health knowledge, and quality of life. However, because of the non-randomized design, retrospective registration, short follow-up, and potential residual confounding, these findings should be considered preliminary and hypothesis-generating rather than confirmatory evidence of non-inferiority, equivalence, or causal effects. Chinese Clinical Trial Registry (ChiCTR2400088675); Registered on 23 August 2024, retrospectively registered.

This study aims to analyze the effectiveness of the use of the Mobile JKN application among BPJS Kesehatan participants in Palangka Raya City. The research employed a qualitative approach with a descriptive method. Data were collected through semi structured interviews and observations involving ten informants who were active BPJS Kesehatan participants and had experience using the Mobile JKN application. Data analysis used the interactive model of Miles, Huberman, and Saldaña, which includes data reduction, data presentation, and conclusion drawing. The results showed that the Mobile JKN application was fairly effective in helping participants access digital health services, particularly for checking membership status, access online queue services, and managing health administration service. The application was also queues at health facilities. However, several obstacles were still encountered, such as difficulties experienced by elderly users, account login problems, and network or system disruptions. Therefore, improvements in application system quality as well public education and digital literacy are needed to optimize the use of Mobile JKN.

To leverage the evaluation of the environmental impact of the Direct AP-HP/Lorah e-referral service offered in Paris (France) hospitals to create recommendations for evaluating the impact of digital health services. We review the tools and methods currently available to measure the carbon footprint and electricity consumption of digital services in the context of Life Cycle Assessment (LCA) for a comprehensive evaluation. We use the recent deployment of a telemedicine communication service at a major French hospital as a case study to understand the practical implications of conducting an impact study. Three-deployment scenarii are considered: current usage, double usage and maximum capacity. The bulk of the carbon footprint of the Direct AP-HP/Lorah service is due to servers vs network and user terminals in all scenarios considered. Computing hardware production impacts was instrumental in the overall impact assessment, as embodied impact represent 45% of Carbon footprint and the most of Metallic resource depletion. Recommendations for further studies notably include adequate anticipation of service usage and data collection. The environmental impact of the new telemedicine service could be assessed in sufficient level of details to provide decision makers with an adequate comparison of the service with alternative email communication. The recommendations derived from this use case should facilitate adequate impact data collection for future studies.

ABSTRACT The adoption of the Global Digital Compact (GDC) by the United Nations General Assembly in 2024 raises a fundamental question: what do its human rights objectives mean in practice? This article addresses that question through a doctrinal analysis of the GDC's third objective and comparing it against international standards developed at the UN level and regional and national legislation, specifically the EU's Digital Services Act (DSA) and the UK's Online Safety Act (OSA). The article challenges claims of ‘technological exceptionalism’, which hold that digital technologies require entirely new legal frameworks, and argues instead that regulatory practice at the international, regional and national level consistently applies existing human rights instruments to the digital sphere rather than replacing them. Three areas are examined: human rights due diligence for digital companies, digital trust and safety with respect to women's and children's rights, and information integrity. The analysis of regulations for the digital sector show that the preference of regulators is to create new duties for private actors rather than new rights. The article concludes that the GDC should consolidate, rather than reinvent, international human rights law and that the existing practice of states and regional organisations points in that direction.

Online travel agencies (OTAs) increasingly rely on user-generated reviews to shape consumer perceptions and influence booking decisions. This study analyses 5921 customer reviews collected from MouthShut.com, an independent review platform, to examine customer concerns and sentiments across multiple OTA platforms in India. Using latent Dirichlet allocation (LDA), key discussion themes were identified, followed by an aspect-level sentiment analysis to evaluate customer perceptions across critical service dimensions. The findings reveal notable variations in service performance across platforms, particularly in areas such as booking experience, pricing transparency, customer support, and refund processes. These variations highlight the role of expectation–performance alignment in shaping customer satisfaction within digital travel services. By integrating LDA topic modeling with sentiment analysis, this study contributes to the literature on online service experience. The findings offer actionable insights for OTAs to improve service reliability, enhance transparency, and reduce friction in the customer journey.

The role of digital service innovation for value proposition co-creation in emerging sustainable platform ecosystems.