Search Results (1,101)

The COVID-19 pandemic highlighted critical issues in health services and public policy, particularly in long-term care facilities across Canada. Failures in these facilities revolving around chronic underfunding, staffing shortages, inadequate infection control, and inconsistent regulatory oversight, underscore the need to rethink health service interventions, especially considering varying implementation contexts among provinces. The Ontario Long-Term Care COVID-19 Commission Final Report pointed to long-standing systemic issues as the primary causes of the sector’s failures. To explore this issue, a narrative review was conducted with findings indicating that the long-term care crisis in Canada cannot be solved by more privatization, regulation or efficiency measures, as these have contributed to the problem’s root causes. Ontario’s long-term care crisis stems from systemic misalignments in policy, structure and stakeholder dynamics, requiring a shift toward systems thinking and resident-centered care to build an equitable and sustainable long-term care sector. Ultimately, governments must lead a policy redesign that reflects shared responsibility, stakeholder interdependence, and public involvement, offering a model for broader healthcare reform. Full article

Electromobility provides an effective solution for developing countries to reduce dependence on fossil fuels, enhance energy security, and increase environmental sustainability. The current study evaluates the feasibility of implementing electric vehicles (EVs) powered by renewable energy in developing countries. Based on qualitative methods, including expert interviews, it discusses existing transportation systems, the benefits of EVs, and significant constraints such as poor infrastructure, high initial investment, and ineffective policy structures. Evidence further suggests that EV adoption is likely to bring considerable benefits, particularly in cities with high population densities, adequate infrastructure, and supportive regulations that facilitate rapid adoption. Countries like India and Kenya have reduced their fuel import bills and created new jobs. At the same time, cities such as Bogota and Nairobi have seen improved air quality through the adoption of electric public transit. However, the transition requires investments in charging infrastructures and improvements in power grids. Central to this is government backing, whether through subsidy or partnership. Programs like India’s Faster Adoption and Manufacturing of Hybrid and Electric Vehicles (FAME) initiative and China’s subsidy program are prime examples of such support. The study draws on expert interviews to provide context-specific insights that are often absent in global EV discussions, while acknowledging the limitations of a small, regionally concentrated sample. These qualitative findings complement international data and offer grounded implications for electromobility planning in developing contexts. It concludes that while challenges remain, tailored interventions and multi-party public–private partnerships can make the economic and environmental promise of electromobility in emerging markets a reality. Full article

A large and growing empirical literature documents that privatization, deregulation, financialization, and under-regulation of harmful industries are associated with adverse health outcomes in the United States. However, this evidence remains fragmented across sectors and rarely articulates a unifying causal framework. This paper advances the literature by integrating findings across health care, harmful-product industries, and economic and social policy to demonstrate that corporate profit maximization functions as a cross-cutting driver of health disparities and premature mortality in the United States. We synthesize evidence showing that profit-driven incentives shape insurance markets, hospital and physician practice ownership, pharmaceutical marketing, and the aggressive promotion of tobacco, alcohol, ultra-processed foods, opioids, firearms, and fossil fuels—together contributing to more than one million deaths annually. We further document how corporate influence over public policy has increased poverty, economic inequality, and discrimination, all of which are powerful social determinants of health. In contrast to sector-specific analyses, this paper presents a unified, systems-level account of how profit-first governance undermines population health. We conclude by describing how a social movement to achieve a single payer system that provides Medicare for All would not only vastly improve public health, it would be a catalyst for numerous other reforms that enhance the general wellbeing. Full article

Low-altitude logistics (LAL), supported by unmanned aerial vehicles (UAVs) and emerging urban air mobility operations within the low-altitude airspace (typically <1000 m), is rapidly reshaping last-mile distribution and time-critical delivery. However, LAL systems remain vulnerable to compound disruptions spanning weather, infrastructure, governance, and cybersecurity. Using a PRISMA-guided protocol, this systematic review synthesizes 1600 peer-reviewed studies published from 2020 to 2025 and combines bibliometric mapping (VOSviewer) with qualitative content analysis to consolidate the knowledge base on low-altitude logistics resilience (LALR). We conceptualize LALR via four coupled pillars, including robustness, adaptability, recoverability, and redundancy. The synthesize evidence across key vulnerability domains consists of platform reliability, communication and infrastructure readiness, regulatory fragmentation, cyber exposure, and weather-driven operational uncertainty. Building on the synthesis, we propose a Technology–Policy–Ecosystem roadmap that links (i) AI-enabled autonomy and risk-aware planning, (ii) adaptive governance tools such as regulatory sandboxes and dynamic airspace/UTM management, and (iii) ecosystem-level interventions, notably public–private partnerships and equity-oriented service design for underserved areas. We further outline a research agenda centered on measurable resilience metrics, activate redundancy design, climate-adaptive UAV operations, and digital-twin-enabled orchestration for scalable and sustainable LAL ecosystems. Full article

This paper examines the role of institutional logics in shaping heritage-led urban regeneration across fifteen adaptive reuse projects of former tobacco factories in Europe. By categorizing managing authorities into public, private, and community-led actors, the study interprets regeneration outcomes, such as community participation, tourism growth, and crime reduction, through the lens of institutional theory. The analysis reveals that each authority type operates under distinct logics: regulative (public), market-driven (private), and normative (community), which significantly influence the depth and type of impact achieved. Through a comparative framework and empirical indicators, the paper highlights how institutional arrangements affect not only project design but also questions of inclusion, identity, and sustainability. Findings challenge simplistic binaries of top-down versus bottom-up governance and offer a more nuanced understanding of how urban heritage can serve divergent values. The paper concludes with implications for urban policy and future research on hybrid and participatory models of heritage governance. Full article

Online hate speech poses a growing socio-technological threat that undermines democratic resilience and obstructs progress toward Sustainable Development Goal 16 (SDG 16). This study examines the regulatory and behavioral dimensions of this phenomenon through a combined legal analysis of platform governance and an empirical survey conducted on Meta platforms, based on a sample of young Hungarians (N = 301, aged 14–34). This study focuses on Hungary as a relevant case study of a Central and Eastern European (CEE) state. Countries in this region, due to their shared historical development, face similar societal challenges that are also reflected in the online sphere. The combination of high social media penetration, a highly polarized political discourse, and the tensions between platform governance and EU law (the DSA) makes the Hungarian context particularly suitable for examining digital resilience and the legal awareness of young users. The results reveal a significant “awareness gap”: While a majority of young users can intuitively identify overt hate speech, their formal understanding of platform rules is minimal. Furthermore, their sanctioning preferences often diverge from Meta’s actual policies, indicating a lack of clarity and predictability in platform governance. This gap signals a structural weakness that erodes user trust. The legal analysis highlights the limited enforceability and opacity of content moderation mechanisms, even under the Digital Services Act (DSA) framework. The empirical findings show that current self-regulation models fail to empower users with the necessary knowledge. The contribution of this study is to empirically identify and critically reframe this ‘awareness gap’. Moving beyond a simple knowledge deficit, we argue that the gap is a symptom of a deeper legitimacy crisis in platform governance. It reflects a rational user response—manifesting as digital resignation—to opaque, commercially driven, and unaccountable moderation systems. By integrating legal and behavioral insights with critical platform studies, this paper argues that achieving SDG 16 requires a dual strategy: (1) fundamentally increasing transparency and accountability in content governance to rebuild user trust, and (2) enhancing user-centered digital and legal literacy through a shared responsibility model. Such a strategy must involve both public and private actors in a coordinated, rights-based approach. Ultimately, this study calls for policy frameworks that strengthen democratic resilience not only through better regulation, but by empowering citizens to become active participants—rather than passive subjects—in the governance of online spaces. Full article

Background: Fintech companies have revolutionized the financial services industry in India in recent years. This is especially true for the growth of digital payment methods. India’s unbanked are being introduced to banking by fintech companies. Despite the country’s strong banking system, many residents find it difficult to get government financial services. This is particularly true for rural or low-income people. This vacuum has been addressed by fintech solutions including digital banking, micro-lending applications, mobile wallets, and UPI platforms. Objectives: to study the impact of financial technology businesses on increasing financial inclusion for India’s underbanked and unbanked population and Challenges encountered by financial technology enterprises in their endeavors to access unbanked populations, encompassing concerns of infrastructure with special reference to western Uttar Pradesh. Method: This mixed-methods study examines how FinTech is narrowing the financial gap for unbanked people using quantitative econometric analysis and qualitative case study assessments. Results: Digital financial innovation and regulatory support encourage inclusive growth in underdeveloped economies, whereas rich nations benefit from sophisticated banking institutions. This is indicated by the small influence of GDP per capita (β = 0.22–0.32, p < 0.05). Findings: The study found that inclusive finance is revolutionized when FinTech is used with the help of robust regulatory frameworks and digital infrastructure. Policymakers should prioritize cybersecurity, public-private partnerships to improve digital literacy, and rural connection if they want more people to take part in the digital financial ecosystem. Implications: FinTech can remove obstacles to accessing financing. The proper coordinated improvements in regulatory frameworks, digital infrastructure and financial literacy among the people are necessary to achieve full financial inclusion. Full article

Timely and reliable labor market intelligence is crucial for evidence-based policymaking, workforce planning, and economic forecasting. However, traditional data collection and centralized analytics raise growing concerns about privacy, scalability, and institutional data governance. This paper presents a large language model (LLM)-powered framework for privacy-preserving and scalable labor market analysis, designed to extract, structure, and interpret occupation, skill, and salary information from distributed textual sources. Our framework integrates domain-adapted LLMs with federated learning (FL) and differential privacy (DP) to enable collaborative model training across organizations without exposing sensitive data. The architecture employs secure aggregation and privacy budgets to prevent information leakage during parameter exchange, while maintaining analytical accuracy and interpretability. The system performs multi-task inference—including job classification, skill extraction, and salary estimation—and aligns outputs to standardized taxonomies (e.g., SOC, ISCO, ESCO). Empirical evaluations on both public and semi-private datasets demonstrate that our approach achieves superior performance compared to centralized baselines, while ensuring compliance with privacy and data-sharing regulations. Expert review further confirms that the generated trend analyses are accurate, explainable, and actionable for policy and research. Our results illustrate a practical pathway toward decentralized, privacy-conscious, and large-scale labor market intelligence. Full article

Guided by Sustainable Development Goal (SDG) 5 on achieving gender equality and empowering all women and girls, our study examines the age, period, and cohort effects of gender income inequality across China’s public and private sector employment by utilizing hierarchical age–period–cohort cross-classification random-effects models (HAPC-CCREMs) and repeated cross-sectional data from the Chinese General Social Survey from 2003 to 2021 (N = 29,367). The results demonstrate the following: (1) Age effects of gender income inequality diverge between public and private sector employment. In public sector employment, inequality undergoes a progressive decline over individuals’ career spans, as age is institutionalized as a sector-specific capital and compresses inequality through seniority-based accumulation. In private sector employment, inequality follows an inverted U-shaped trend as age is marketized as a proxy for labor productivity, producing steeper inequality in individuals’ early careers and sharp declines thereafter. (2) Period effects of gender income inequality manifest significant developing differences across public and private sector employment between 2003 and 2021. In public sector employment, the state redistributive mechanism maintains inequality at a consistently low and stable level. In private sector employment, inequality fluctuates with China’s post-transition economic restructuring, expanding during rapid market growth (2003–2008), contracting amid structural upgrading (2010–2013), and rising again under deeper market integration (2015–2021). (3) Cohort effects are negligible, reflecting that mechanisms sustaining gender income inequality exhibit intergenerational continuity. These results demonstrate that institutional segmentation structures gendered income dynamics throughout the life course via distinct resource allocation mechanisms. Our study extends life course approaches to social inequality, emphasizing the role of gender-equality-oriented governance, lifecycle-spanning support mechanisms, and cross-sectoral coordination in mitigating gender disparities. Full article

Citizens increasingly engage in private politics—market-based actions such as boycotts and buycotts—alongside or instead of public politics aimed at government institutions. This study examines how perceptions of efficacy and institutional trust, shaped by digital media environments, influence individuals’ choice between these modes of participation. A laboratory experiment tested how efficacy cues and governance frames affect engagement preferences in the United States (N = 395). Participants were asked to sign an e-petition directed at either a government agency (NOAA) or a private corporation (BP). Experimental treatments varied by portraying government as either pluralist or business-like and by emphasizing governmental versus corporate efficacy. Results show that efficacy cues, rather than ideological beliefs about how government should operate, primarily drive behavior. Messages enhancing perceived governmental efficacy increased public political action, while messages emphasizing business efficacy shifted respondents toward private politics. These findings indicate that perceptions of efficacy, as filtered through digital and algorithmic environments, shape how citizens direct their participation. Understanding how these cues operate is essential for anticipating whether civic engagement will gravitate toward public institutions or market channels in an increasingly mediated political landscape. Full article

Digital transformation has emerged as a key driver of modernization in the private and public sectors. In recent years, governments worldwide have turned to digital technologies to improve efficiency, reduce costs, and enhance citizen engagement. Saudi Arabia, through Vision 2030, launched one of the most ambitious national digital transformation programs, aiming to reposition the country as a leading digital government. The Saudi government initiated a wide range of digital initiatives across ministries, agencies, and public institutions—marking a critical period of structural, technological, and cultural change in the public sector. Despite the scale and significance of this transformation, academic research on Saudi Arabia’s DT efforts remains limited. Most available insights are derived from media reports, conference presentations, or informal commentary, with minimal empirical evaluation. This study addresses that gap by conducting a comprehensive qualitative case study to assess the progress, challenges, and outcomes of digital government transformation in Saudi Arabia during the 2017–2020 period. This research examines digital transformation in the public sector of an emerging economy. It highlights three essentials: institutional coordination, systems to track progress, and long-term investment in digital skills and infrastructure. The researcher interviewed staff from the digital unit and ministry teams, conducted fieldwork, and analyzed official documents and websites. The findings indicate substantial progress in digitizing public services and enhancing user access. However, persistent challenges remain, particularly in data integration, policy alignment, and inter-agency collaboration. Full article

The aim of this study is to analyze how public and private museums adopt digital innovations and to evaluate their contribution to sustainability strategies. The study explores the reasons for implementing digital innovation in museums, how digital innovation contributes to museums’ sustainability, and how museums’ governance model (state-funded or private) influences their capacity for digital innovation and sustainability. The analysis uses a multiple-case study in Lithuania, focusing on the following three museums in Vilnius: the state-funded Lithuanian National Museum, the privately managed MO Museum, and the Lithuanian Art Centre TARTLE. Empirical insights come from semi-structured interviews with museum representatives. Data are collected through online interaction and included in the study dataset. The findings show a clear tendency among museums to adopt digital innovations both to make the visitor experience more interactive and immersive, and to enhance internal management. The results suggest that the adoption of such innovations depends less on the museum’s form (public or private) and more on its size and related financial capacities. Large museums—whether public or private—have more financial capacity to implement digital innovations than smaller ones. Still, the results show that the lack of funds for technological innovations does not prevent museums from achieving sustainability. This research contributes to the field of sustainability by reviewing the scientific literature on the aspects of sustainability (economic, social, environmental, cultural, communicative) in museums’ digital innovation, and by offering exploratory insights from the Lithuanian context into the strategies that museums use to implement digital innovation and promote sustainable development. Full article

Over the last 40 years, the Kingdom of Saudi Arabia (KSA) has experienced economic growth that has driven urbanization and infrastructure improvements. However, this has also led to high resource use and poor planning, exacerbating climate challenges and underscoring the need for international cooperation. Given the substantial energy use associated with buildings, sustainable global building standards have been developed. Saudi Vision 2030 encourages sustainable practices in energy, housing, and water by adopting green building standards to guide environmentally friendly initiatives. This study provides an overview of the current status of green building rating systems in KSA and examines the principal obstacles faced during their implementation. Utilizing importance-performance analysis (IPA), the study identifies and evaluates strategies to advance green building ratings, drawing upon survey data from diverse stakeholders. Major barriers include low awareness across the public and private sectors and technical challenges such as a shortage of qualified professionals, limited information, and unreliable resources. The strategies proposed aim to establish clear standards for sustainable construction and promote targeted awareness campaigns with industry leaders and government, highlighting the long-term environmental and financial advantages of green buildings. Identifying these barriers and evaluating interventions will help to advance green building rating systems and sustainability in KSA and worldwide. Full article

A concurrent mixed-methods study was conducted to examine the factors influencing COVID-19 prevention and control behaviors and to describe the management model implemented in Mae Sai District, a Thai–Myanmar border community, from June 2022 to May 2023. Mae Sai reported 21,890 confirmed cases and 12 deaths during the pandemic, underscoring the severity of the outbreak and the need for an effective local management model. Quantitative results indicated that attitudes, social support, participation, and service accessibility significantly influenced preventive behaviors among the general public. Among volunteers, perception and attitude were also significant, whereas only social support and participation were influential among government officials. The management model identified in this study demonstrated effectiveness through its coordinated multisectoral operations, high community compliance, and rapid cross-border communication. The model consisted of five components: emergency preparedness drills, organizational management through district and subdistrict disease control centers, a unified incident command system led by the district chief, coordinated domestic and international operations, and enforcement of control measures at formal checkpoints, natural crossings, and within communities. Successful implementation depended on strong collaboration among government agencies, volunteers, private organizations, local communities, and partners in Myanmar. This framework may serve as a practical guideline for managing other communicable diseases and enhancing preparedness for future health threats. Full article

This study examines the role of public procurement of artificial intelligence (AI) as a catalyst for transformative change in State functions. Building on the concept of transformative law, it argues that law should not merely regulate technological innovation but actively guide and shape it in accordance with democratic values and the rule of law. Within this framework, public procurement emerges as a strategic instrument for (re)structuring the very configuration of public governance and institutions. This analysis highlights key legal issues surrounding the procurement of AI, starting with the premise of its dual function: on the one hand, as a tool for optimising acquisition procedures and, on the other, as the object of acquisition itself. Among the most pressing issues analysed are the definitions of algorithmic legality and accountability, the asymmetry of expertise between public authorities and private suppliers, and the regulatory complexity that characterises the field, especially in light of the recently adopted EU AI Act. Finally, this study conceptualises the public procurement of AI as a form of legal infrastructure, capable of securing systemic and enduring transformations for the State and its institutions. Full article