Search Results (2,425)

The digital transformation of tourist facilities requires careful selection of technologies that can provide secure, stable and scalable network infrastructure. Due to the possibility of application in different sectors with different specificities, the focus of the research was placed on the implementation of smart tourist services. A hybrid multi-criteria decision-making model based on PIPRECIA and MVA models was applied for the research. Based on the literature and the opinions of experts in the field, evaluation criteria such as bandwidth, latency, energy efficiency, security and privacy, scalability, costs and interoperability were defined, and internet technologies such as Li-Fi, Wi-Fi 7, Wi-Fi 6, private 5G networks, Ethernet-over-Power (EoP), NB-IoT and LoRaWAN were defined. The results obtained put the security and privacy criterion at the top (0.2253), followed by scalability (0.1952) and bandwidth (0.1624). The obtained results indicate that Wi-Fi 7 achieved the highest weighted score (4.2247), followed closely by Li-Fi (4.2177) and Wi-Fi 6 (4.0771). Wi-Fi 7 demonstrated particularly strong performance in scalability, interoperability and bandwidth, making it highly suitable for environments with high user density. Li-Fi achieved very high scores in security and latency, which makes it particularly appropriate for security-sensitive smart tourism environments. Lower-ranked technologies such as NB-IoT and LoRaWAN proved valuable for supporting IoT and monitoring functions, rather than as primary communication infrastructure. The proposed model has proven to be a flexible, transparent and practical tool for strategic decision-making in the field of smart tourism. In addition to the basic application presented in the paper, the model has the potential to be adapted to different contexts and expanded with additional criteria or new technologies. The proposed hybrid approach can serve as a useful decision-making tool for tourism managers, system engineers and urban planners who are looking for optimal solutions for the development of digital infrastructure. Full article

Background: Despite being considered a country with a larger health workforce in Africa, the South African health workforce continues to experience shortages and a maldistribution of health workers across regions and sectors. Current projections suggest that the workforce is expected to decline further, especially among doctors, nurses and midwives, in large part, due to attrition—which could compromise the delivery of primary health and maternity services. These health workforce shortages and uneven distribution threaten the sustainability and effectiveness of health services in South Africa and drives the need to investigate the factors that may be influencing career choice and change decisions among health professionals in South Africa. Methods: A qualitative exploratory study, making use of purposive sampling and semi-structured interviews, was conducted to investigate the factors influencing career choice and change decisions among health professionals in South Africa. The participants were qualified health professionals in the fields of medicine, nutrition, pharmacy, nursing, and psychology working in the private, public, and academic sectors. Data was collected until saturation was achieved and then thematically analyzed using MAXQDA 24. Results: A total of 10 participants made up of three males and seven females were interviewed. These participants worked in different employment sectors with some having dual roles in private practice, public sector, and academia. The analysis revealed three major themes that capture the nature of and factors influencing career choice and career changes occurring in South Africa. The first theme related to factors influencing career choice (including altruism, family influence, personal experiences, financial/job security, academic achievement, career guidance, and opportunity for change). The second theme focused on career change dynamics (nature of career changes and career transitions occurring in the form of specialization, switching health professions, exiting health professions, adding non-health interests, and shifting focus areas). The third theme revealed factors influencing career change. These were categorized into personal and individual factors, workplace or job-specific factors, and administrative factors. This study has contributed to understanding the career choices and career changes taking place within the health professions in South Africa. It has also revealed a need for reforms in policy and practice for the current health professionals who have no intention of changing their careers while highlighting implications for future training of health professionals. Also, addressing the challenges of poor working conditions, lack of support, unemployment and placement delays, and other administrative barriers will help mitigate some of the issues leading to health workforce shortages and inequities in the South African context. Conclusions: The strongest motivator for choosing a career in health professions is the desire to care for others, while retention of the health workforce is challenged by personal, workplace, and administrative factors. Enhancing workplace conditions and support systems, implementing policy reforms, and minimizing administrative barriers is essential for achieving universal health coverage and sustaining a resilient health workforce in South Africa. Full article

The purpose of this study is to examine the relationship between digital transformation, employee engagement, and turnover intention, with particular emphasis on the mediating role of employee engagement. Using a quantitative research design, data were collected from 240 employees working in public and private sector organizations in Saudi Arabia. Structural Equation Modelling (SEM) was employed to examine the proposed relationships. The findings reveal that employee engagement serves as a significant mediator in the relationship between digital transformation and turnover intention. Specifically, employees reporting higher levels of engagement are less likely to express intentions to leave their organizations during periods of technological change. In contrast, the direct relationship between digital transformation and turnover intention was not statistically significant, indicating a full mediation mechanism. These findings contribute to the literature by enhancing understanding of the human and organizational dimensions of sustainable digital transformation, particularly within emerging economies. The results suggest that the success of digital transformation initiatives depends not only on technological investments but also on fostering employee engagement to support workforce sustainability and long-term organizational resilience. By promoting engagement, organizations can strengthen employee retention, maintain workforce stability, and support sustainable organizational performance during periods of digital change. Consequently, the study highlights employee engagement as a critical mechanism for achieving both digital transformation objectives and broader sustainability goals related to human capital development, employee well-being, and sustainable organizational growth. Full article

Improving residential energy efficiency is essential to meeting UK net-zero targets, yet retrofit uptake in the private rented sector (PRS) remains limited. While many studies examine retrofit measures or Energy Performance Certificates (EPCs), few integrate comparative technology performance, cost–benefit outcomes, and landlord–tenant perspectives within a single housing context. This paper addresses that gap through a mixed-methods case study of a professionally managed private rented housing portfolio in South London, assessing four retrofit technologies: photovoltaic (PV) panels, air source heat pumps (ASHPs), double glazing (DG), and insulation. Quantitative analysis showed that ASHPs delivered the greatest EPC improvement, with 54.5% of properties achieving a two-band uplift, while PV panels offered the strongest financial return, with an average payback period of 11.7 years. Houses achieved the strongest overall results, with combined PV + ASHP retrofits delivering the best technical and financial performance; however, this pairing was only feasible in houses because of the physical requirements for both roof space and external unit installation, whereas flats and maisonettes were more constrained by space and installation feasibility. Stakeholder analysis findings revealed knowledge and incentive gaps: many tenants overestimated the effectiveness of double glazing, while landlords identified high upfront costs and delivery challenges as key barriers. Wider PRS decarbonisation will therefore require stronger policy support, streamlined retrofit delivery, and improved tenant awareness. Full article

This paper presents the field deployment and performance evaluation of a New Radio Vehicle-to-Everything (NR-V2X) Cooperative Intelligent Transportation System (C-ITS) test corridor over a 5G stand-alone (SA) private network, implemented on a 40 km highway in Istanbul, Turkey. The deployment integrates 19 dual-sector gNBs, commercial off-the-shelf (COTS) core network components, and an O-RAN-compatible Rel. 17 architecture and evaluates six ETSI-compliant C-ITS scenarios under a systematic 3 × 3 experimental matrix spanning three vehicle speeds and three traffic density categories. Key quantitative findings include the following: (i) 98.9% of the corridor achieves the target RSRP of −110 dBm, confirming coverage viability; (ii) five of the six scenarios satisfy ETSI end-to-end latency requirements across all tested conditions, with the packet delivery ratio remaining above 94% throughout; and (iii) the Emergency Vehicle Approaching (EVA) scenario meets its stringent 20 ms latency requirement exclusively under free-flow conditions (μ = 14.7 ms) and progressively exceeds it under medium- and high-density traffic (μ = 26.6 ms and μ = 40.1 ms, respectively). These results provide quantitative evidence that MEC integration is a necessary architectural complement to the 5G SA private network for ultra-low-latency safety services and establish a reproducible reference architecture for public highway C-ITS deployments. Full article

Recirculating organic byproducts like food waste, wastewater and manure efficiently and at scale in a circular bioeconomy will be critical to ensuring future food security, energy security, climate resilience, water security and environmental health. Ultimately, we will not be able to live within the safe operating space of our planetary boundaries if we do not stop our wasteful and inefficient habits. Our food, waste, energy and water sectors are starting to transform towards circularity, driven by a diverse range of drivers, from net zero emissions targets, to food waste policies, and to rising fertiliser prices and geopolitical risks. However, these sectors are often not transforming in a coordinated manner, risking unintended consequences like competition between end-uses, technology lock-in, the prevention of scalability, or failure to achieve key sustainability targets, causing rebound effects. For example, society’s organic waste is being earmarked for the production of bioenergy, sustainable aviation fuels, biomaterials, and biofertilisers; however, it is not clear if there will be a sufficient supply of organic waste to meet these diverse demands. Phosphorus flow analyses indicate that we will need to secure almost all of the nutrients in organic waste as fertiliser raw material to produce food. There are some existing pockets of innovation within sectors related to food waste, water and wastewater, fertilisers and agriculture, and bioenergy. However, many initiatives are being driven by short-term challenges, are not operating at scale, or are not sufficiently integrated across sectors. In this paper, we provide examples of innovations and challenges from around the world, including Italy, Australia, Sri Lanka, the UK, Japan, and Malawi. This paper identifies a pathway to navigate tensions to achieve co-existing sustainability goals, including key enablers and barriers, ranging from overcoming regulatory fragmentation to a lack of capital investments. Creating a truly viable circular economy for organic byproducts requires the integration of policies, markets, technologies and people. This means engaging diverse stakeholders, from local councils and private waste contractors, farmers, and fertiliser companies to energy retailers and wastewater utilities, NGOs, informal collectors, and environmental regulators and policy-makers. Full article

While reading habits strongly correlate with academic success, empirical data regarding higher education (HE) literacy in Portugal remains scarce, particularly across the private sector. This study addresses this gap through a cross-institutional analysis comparing public and private HEIs alongside the island regions of Madeira and the Azores, challenging the assumption that digital natives universally reject print. A survey was administered to 558 students across 140 study cycles from 33 public and private HEIs, with data evaluated via non-parametric inferential methodologies. The sample displayed high reading appreciation, yielding a mean enjoyment score of 7.54 out of 10 (SD = 2.29) and an annual median of 4 books. Significant demographic variations (p < 0.05) emerged: female and older (23+) students demonstrated a significantly higher love of reading and voluntary book consumption, whereas males and younger cohorts gravitated toward technical texts and digital periodicals. Conversely, groups converged regarding internet usage and the primary structural barrier to literacy: an acute lack of time (67.9%). Crucially, while HEI type did not impact genre or platform choices, public university students reported significantly higher reading enjoyment and read more books annually than their private-sector peers (p < 0.05). These findings underscore that individual literacy is actively moderated by institutional micro-climates, providing administrators with precise empirical targets to design tailored reading initiatives. Full article

Federated learning lets organizations train a shared model without pooling private data. The standard method, Federated Averaging, requires all participants to use the same input features, a condition that fails in cross-sector phishing detection, where banks analyze URL structure and hospitals analyze email content. We present RankBridge, a system that groups participants by comparing ranked lists of SHapley Additive exPlanations (SHAP) feature importance rather than model weights or gradients. Each participant trains a local LightGBM model, extracts the top-K features by SHAP importance, and sends a 60-byte ranked list of feature indices to a central server. The server applies rank correlation and Ward’s hierarchical clustering to identify similarly threatened organizations. RankBridge operates in two modes: ModelShare, where models are also shared within each discovered group for prediction ensembling, and RankOnly, where the server returns only a group label and each participant keeps their model private. Across 32 participants in five organization types, RankBridge (ModelShare) achieves F1 $=0.853$ (AUC $=0.926$) on synthetic data and F1 $=0.772$ (AUC $=0.812$) on real phishing data, and it is the only method to outperform isolated local training on both. On real heterogeneous data the standard baselines adapted to LightGBM, including Federated Averaging, retain a moderate thresholded F1 (≈0.73) but their ranking quality collapses to near-random (AUC $\approx 0.59$, PR-AUC $\approx 0.66$), whereas RankBridge sustains AUC $=0.812$ and PR-AUC $=0.819$. RankBridge recovers the correct organizational groupings with Normalized Mutual Information (NMI) $=0.973$. The rank-based grouping channel itself transmits 60 bytes per participant per round, roughly 10,000× less than a full model upload. Full article

Developing countries in which infrastructure development is heavily dependent on overseas development aid face significant sustainability challenges, including financing gaps and inadequate maintenance. Increasing private-sector investment is crucial for addressing these challenges. This paper proposes an innovative framework linking environmental, social, and governance (ESG) principles with a revised joint credit mechanism (JCM) to attract private investment in infrastructure development, particularly in Pacific Island countries facing the climate crisis. Under the revised JCM, by allocating generated carbon credits to participating Japanese companies, rather than the Japanese government, corporations can monetise credits through market transactions, creating compelling economic incentives for private-sector engagement. In ESG-advanced markets, credits serve as strategic instruments for corporate value enhancement beyond revenue generation, while corporations require continuous credit acquisition to sustain investor confidence. Our revised framework provides a sustainable solution to both financing gaps and infrastructure maintenance challenges. Our analysis demonstrates that integrating market dynamics and corporate incentives into bilateral climate mechanisms holds substantial potential for mobilising private capital for sustainable climate infrastructure finance. This approach represents a promising departure from traditional donor-dependent models, effectively aligning corporate interests with sustainable development objectives while advancing national emission reduction commitments. Full article

The economic resilience of agricultural enterprises is increasingly relevant for maintaining processing continuity and food quality in highly perishable agro-food chains. This study examines the associations between financial knowledge, financial management competency, business liquidity, and operational food-processing continuity in Türkiye’s tea sector. A quantitative cross-sectional design was employed, using structured survey data from 203 senior managers across 86 public and private tea-processing firms in Rize Province. The data were analysed using Ordinary Least Squares regression, mediation analysis, exploratory factor analysis, and robustness checks in accordance with OECD/INFE guidelines. Results indicate a significant deficit in theoretical financial knowledge (mean score: 4.47/10) alongside widespread overconfidence among 85% of managers. Applied financial management competency is positively associated with perceived business liquidity (β = 0.336, p < 0.001), suggesting that practical budgeting, cash-flow planning, and financial decision-making capabilities are relevant to maintaining operational funding capacity. In contrast, cash-flow difficulties are not significantly explained by firm-level financial knowledge, managerial competency, liquidity, or ownership structure (R² = 0.014, p = 0.722), indicating that these difficulties may reflect broader seasonal and sector-wide financing constraints. The findings challenge the assumption of a linear relationship between theoretical financial knowledge and managerial outcomes. They suggest a dual policy approach that combines applied financial management training with structural financing mechanisms to ensure the continuity of fresh leaf procurement and processing. While the study does not directly measure food safety, post-harvest losses, or SDG outcomes, the results have potential implications for reducing processing disruptions and supporting more resilient agro-food processing systems. Full article

Although the European Union positions the bioeconomy at the core of its sustainability transition and the European Green Deal, the cross-country distribution of bioeconomy value-added associated with mission-oriented public R&D support remains highly uneven. This paper investigates how national researcher capacity (as a proxy of absorptive capacity) shapes the macroeconomic effectiveness of bioeconomy-oriented public R&D support, and how societal climate-oriented environmental concern acts as a direct structural driver of bioeconomy value-added. Using a panel dataset of 27 EU Member States from 2008 to 2020, the study constructs an original bioeconomy-specific measure of government budget appropriations for R&D (GBARD) and estimates two-way fixed-effects models with Driscoll–Kraay standard errors to account for cross-sectional dependence. The findings reveal a clear capacity-dependent conditional moderation effect: public R&D support is significantly associated with higher bioeconomy value-added only when a critical mass of researcher capacity is present. Sectoral disaggregation demonstrates that business enterprise researcher capacity acts as the primary transmission channel linking public funds to the market, whereas higher-education capacity shows no statistically significant short-to-medium-term moderating effect, consistent with the academic research commercialisation time lags documented in the literature. Additionally, societal climate-oriented environmental concern is positively associated with bioeconomy value-added in the baseline models, consistent with its role as a demand-side factor fostering receptive conditions for bio-based transitions. The study concludes that increasing mission-oriented R&D funding alone is likely insufficient; to successfully cross the “valley of death,” public R&D should be accompanied by complementary policies that build private-sector absorptive capacity and cultivate green market demand. Full article

Background/Objectives: Technology transfer (TT) has been identified as a global health priority due to its impact on improving access to vaccines, including for pandemic influenza preparedness and response through bilateral and multilateral mechanisms. This study aimed to (1) characterize examples of influenza vaccine TT (IVTT) and (2) identify key lessons learned that may inform future activities relevant for next-generation influenza vaccine technologies. Methods: Using a contingent effectiveness model, a convergent mixed-methods study was conducted with vaccine manufacturers and global experts to capture quantitative survey data on IVTT activities and enablers and qualitative data on successes, challenges, and opportunities for IVTT through interviews, complemented by secondary data from peer-reviewed and grey literature to characterize additional IVTT observations. Results: This study included 24 participants, including 14 representatives from 13 vaccine manufacturers and 10 experts. Interviews were conducted with representatives from eight manufacturers and seven experts. Eighteen IVTT observations were identified through the surveys and interviews, of which 15 IVTT transfers were completed and 13 resulted in an approved vaccine. Secondary data provided additional evidence on eight IVTT recipients and one supplier, expanding the range of institutional and programmatic contexts assessed. Shorter IVTT completion and vaccine approval timelines were observed in association with prior TT experience and private management structures for manufacturers, for pre-pandemic/pandemic influenza vaccines versus seasonal influenza vaccines, and among bilateral transfer mechanisms (versus multilateral mechanisms) and fill/finish transfer methods. Manufacturers also described spillover benefits, including the use of IVTT-related know-how for the development of COVID-19 and routine vaccines. Both manufacturers and experts generally agreed on a list of 17 enablers for successful IVTT and ranked government commitment to vaccine production and procurement as the top enabler. Findings from the literature-based observations were consistent with primary data and included additional public sector recipient experiences, evidence of widespread human capital development, and a commentary on the importance of the demand environment. Conclusions: Assessed IVTT activities across primary and secondary data sources yielded commercial and spillover benefits as described in the contingent effectiveness model and provided a triangulated analysis of IVTT experiences across manufacturers, experts, and documented cases. Participants agreed that effective technology transfer is contingent upon a host of determinants. Using a systematic application of the contingent effectiveness model to IVTT, this study provided an exploratory analysis of past activities among vaccine manufacturers and experts. While certain nuances for influenza were identified, the lessons learned from this study may be applicable for other TT activities, including those to support pandemic preparedness. The contingent effectiveness model is a useful tool to inform and evaluate future TT activities. Full article

Purpose: This study investigates the multifaceted dynamics of institutional sustainability (IS) within the higher education sectors of Saudi Arabia and Egypt. It examines the direct influence of cultural, technological, and economic factors, alongside change management techniques (CMT), on the sustainability of universities in these two nations. Methodology: Employing a comparative, mixed-methods approach, the research collected data from 427 university staff members across Saudi Arabia and Egypt. Structural Equation Modeling (PLS-SEM) was utilized for data analysis, complemented by Multiple Group Analysis (MGA) to explore variations across different demographics, including gender, geographical location, and institution type (public vs. private). Findings: The study reveals that Change Management Techniques (CMT), cultural norms, technological infrastructure, and economic factors all significantly and directly influence institutional sustainability. Effective CMT is crucial for successful technological integration and mitigating staff resistance. Cultural norms, particularly in high power distance and collectivist societies, profoundly impact the adoption of innovations. A robust technological infrastructure is foundational for operational efficiency and educational outcomes, while strategic economic planning and diversified funding streams are vital for long-term stability and growth. Originality: This research offers actionable insights for policymakers and academic leaders by providing a nuanced understanding of how to build resilient, sustainable, and technologically advanced educational institutions in the Middle East. It emphasizes the necessity of context-specific strategies that acknowledge the unique regional socio-cultural and economic realities of Saudi Arabia and Egypt, bridging the gap between global sustainability paradigms and local implementation challenges. Full article

Healthcare facilities are among the most energy-intensive public infrastructures due to their continuous operations, complex systems, and critical service requirements. In this context, Energy Performance Contracts (EPCs) have gained increasing attention as a strategic tool for enhancing energy efficiency and sustainability in healthcare facilities. This paper investigates the potential and implementation of EPCs in the hospital sector, with a particular focus on their integration within Public–Private Partnership (PPP) frameworks. The study addresses that gap through a cross-case analysis of fourteen hospital EPC projects implemented in Italy, the United Kingdom, the Nordic countries and Central-Eastern Europe, mapping their technical scope against a three-family taxonomy (envelope, plant systems, regulation and monitoring) and benchmarking their energy and economic performance. All figures reported derive from project documentation and contractual monitoring records. The results show that envelope-led configurations deliver the deepest reductions in primary and final energy consumption (up to 50% on the baseline), while plant-side measures, and trigeneration in particular, generate the largest absolute CO₂ savings (from approximately 500 to 17,000 tCO₂eq/yr); lighting, and building management systems (BMS) retrofits, although ubiquitous, account for a 20–25% band when deployed in isolation. The findings reframe EPCs as a configurable contract for decarbonization in healthcare environments and offer practitioners a reading grid for scoping future hospital retrofits under this framework. Full article

Decarbonising the residential building sector requires not only technical solutions, but also financially viable delivery models. This paper examines the economic performance of Energy Plus Service (EPS) schemes applied to deep renovation projects under uncertainty, with particular attention to the role of project scale and market conditions. The analysis is based on a portfolio of 21 residential buildings in Northern Italy and combines a Discounted Cash Flow (DCF) model with Monte Carlo simulation. Key sources of uncertainty include renovation costs, post-retrofit energy performance, rental values, and electricity prices, allowing for the estimation of probabilistic Net Present Value (NPV) outcomes. The results show a clear impact of residential asset spatial scale on financial outcomes. Small projects are generally unprofitable, while medium-sized assets are highly sensitive to uncertainty. Larger projects, instead, display a much higher likelihood of positive financial outcomes. Sensitivity analysis indicates that financial performance is driven mainly by investment costs and rental income, while energy-related variables play a more limited role. The findings suggest that the viability of EPS models depends as much on market conditions as on technical performance, pointing to a potential misalignment between energy policy objectives and private investment incentives. Results suggest that projects approaching 160 m² are more likely to achieve a 50% probability of a positive NPV, indicating a potential scale threshold beyond which EPS schemes become significantly more bankable and below which aggregation or additional de-risking measures are likely to be required. Full article