Search Results (162)

The purpose of this research was twofold. Firstly, it aimed to indicate factors hindering and accelerating the development of organic food as a niche innovation in Poland. Secondly, to depict a phase and a pathway of sustainability transition in the Polish agri-food sector. The analysis was performed taking advantage of the multi-level perspective on socio-technical transitions, which has not been used to analyze the sustainability transition in Poland so far. Data were collected through a systemic literature review. Organic food production is a slow-growing niche in Poland, and the sustainability transition from the current dual agri-food regime consisting of small family farms and intensive food production is at a take-off phase. Organic food production struggles to become a regime with short food supply chains and agroecology, and the number of barriers it faces outweighs the number of enablers for its development. A de-alignment and re-alignment transition pathway can be observed. Which niche innovation becomes dominant depends on changes in regulations and on the development of both local marketplaces and online sales channels. The major conclusion is that in order for the transition in the Polish agri-food sector to happen, it should be better governed. Specifically, we need new policy instruments and governance mechanisms, new financing schemes, alternative and hybrid organizational and ownership structures, and institutional and transformative change approaches. Full article

Background/Objective: The COVID-19 pandemic led to a widespread transition to online learning. Yet, it is unclear how this shift in learning format impacted school attendance in adolescents with chronic pain, a group that struggles with school absenteeism. This study compared school attendance and format (e.g., in-person, online) in patients with chronic pain attending an Intensive Interdisciplinary Pain Treatment Program (IIPT) before the pandemic to an age- and gender-matched sample of youth attending the program after the pandemic. Methods: Participants were 226 school aged adolescents (13–18 years; M age = 15.89, SD = 1.46) enrolled in an IIPT before and after the COVID-19 pandemic. Patients admitted before March 2020 (pre-pandemic group; n = 113) were compared to an age- and gender-matched group of patients who were admitted to the IIPT from November 2021 to November 2023 (post-pandemic group = 113). Upon admission to the program, participants completed validated measures of internalizing symptoms and functional disability. They also completed structured questions related to pain and school history. Results: Significantly more patients in the post-pandemic group were attending school through online and home-schooling options (p < 0.01). Youth who attended the IIPT after the pandemic missed fewer school days (p < 0.05) than those who attended before the pandemic. The groups did not differ in functional disability or internalizing symptoms. However, participants in the post-pandemic group who attended online school missed more school days (p < 0.01) and experienced greater functional disability (p < 0.05) than those who attended in person. Conclusions: The findings highlight how the COVID-19 pandemic may lead to sustained changes in the way adolescents with chronic pain attend school, with implications for increased functional disability and school dropout among this vulnerable population. Full article

The digital transformation of manufacturing is accelerating through the integration of artificial intelligence (AI), particularly via real-time predictive models. These models enable manufacturers to transition from reactive to proactive strategies, intelligent optimization and decision-making. Within the frameworks of Industry 4.0 and Industry 5.0, which emphasize technologies such as cyber-physical systems, cloud computing, and human-centric innovation, AI-driven data models are pivotal for achieving smart, adaptive, and sustainable production systems. This paper investigates the impact of AI-based predictive modeling on manufacturing digitalization and its future potential. It examines how these models contribute to advanced frameworks such as online process advisory systems, digital shadows, and digital twins, while addressing their limitations and implementation challenges. Furthermore, the study reviews current practices in real-time data modeling across manufacturing processes—including direct-chill casting—supported by real-world case studies. These examples illustrate both the practical benefits and technical hurdles of deploying AI in dynamic industrial environments. Full article

This study examines the determinants of tolerance among higher education students in Montenegro and their implications for educational and societal sustainability. Guided by the framework of Education for Sustainable Development (ESD), it investigates how socio-demographic factors, economic insecurity, political orientations, and digital media use shape attitudes toward ethnic, religious, and cultural diversity. Cross-sectional survey data were collected from 469 students in 2021 and analysed using binary logistic regression. Results show that education is the strongest predictor of tolerant attitudes (p < 0.01), highlighting the transformative role of higher education in fostering inclusive and sustainability-relevant competencies. Economic insecurity, particularly unemployment, was associated with more exclusionary views, linking social equity to sustainability outcomes. Gender (p < 0.001), age (p = 0.07), and engagement with human-rights content online (p < 0.01) also emerged as significant predictors. Religiosity showed a modest negative association with tolerance (p = 0.01). The final model explained 37% of the variance in tolerant attitudes (Nagelkerke R² = 0.37). Digital media played an ambivalent role: while it increased exposure to diverse perspectives, it also contributed to polarization, underscoring the need for critical digital literacy within ESD-aligned curricula. Overall, the findings demonstrate that inclusive education, digital competence, and participatory learning environments are central to building tolerant, cohesive, and sustainability-oriented societies. The study contributes to ESD scholarship by linking social inclusion, sustainability competencies, and the role of higher education in post-transition contexts. Full article

Delays caused by motor vehicle traffic, accidents, and environmental pollution present considerable challenges to sustainable urban mobility. To address these issues, transportation system users are encouraged to adopt active transportation methods, micromobility options, and public transit. Electric scooters have become a notably popular micromobility choice, especially following the emergence of vehicle-sharing companies in 2018, a trend that gained further momentum during the COVID-19 pandemic. This study explored the demographic characteristics, attitudes, and behaviors of e-scooter users in Istanbul through an online survey conducted from 1 September 2023 to 1 May 2024. A total of 462 e-scooter users participated, providing valuable insights into their preferred modes of transportation across 24 different scenarios specifically designed for this research. The responses were analyzed using various machine learning techniques, including Artificial Neural Networks, Decision Trees, Random Forest, and Gradient Boosting methods. Among the models developed, the Decision Tree model exhibited the highest overall performance, demonstrating strong accuracy and predictive capabilities across all classifications. Notably, all models significantly surpassed the accuracy of discrete choice models reported in existing literature, underscoring the effectiveness of machine learning approaches in modeling transportation mode choices. The models created in this study can serve various purposes for researchers, central and local authorities, as well as e-scooter service providers, supporting their strategic and operational decision-making processes. Future research could explore different machine learning methodologies to create a model that more accurately reflects individual preferences across diverse urban environments. These models can assist in developing sustainable mobility policies and reducing the environmental footprint of urban transportation systems. Full article

The main objective of this article is to conduct a literature review on the use of open innovation (OI) for green transition to identify tools and methods that can make green transition more effective, efficient, and socially acceptable. This review is accompanied by an attempt to answer the following research questions: R1. How can open innovation be used in the economy and by individual entities to achieve the goals of the green transition? R2. How can individual stakeholders be activated and motivated to participate in the process of creating open innovation for the green transition? and R3. What are the real effects of using open innovation on a macroeconomic, social, and individual scale? The results allow concluding that OI is used by enterprises, cities, regions, and entire economies. Among the methods of activating and motivating individual stakeholders to engage in the process of creating OI for green transition, the following can be selected: (1) internal resources and competencies (knowledge management, internal programs, open leadership, trust, complementarity of resources); (2) partnership characteristics (modern business models, involvement of partnership intermediaries, strengthening relationships with suppliers and customers, involvement of prosumers, cooperation with universities and research institutions); (3) external legal and regulatory conditions (protection of intellectual property rights, pro-innovation and pro-environmental education systems, creation of a legal framework for cooperation between science and business); and (4) external technical and organizational solutions (online platforms, social media, Living Labs, external sources of knowledge). The most frequently mentioned individual effects of open innovation in the energy sector include: improved efficiency, effectiveness and competitiveness in environmental management and the implementation of sustainable development, as well as the use of modern technologies. At the economic level, OI supports investment and economic growth. It can also have a positive impact on reducing energy poverty and developing renewable energy sources, including in emerging economies. This form of innovation also promotes social integration and the creation of social values. The findings of this review can be utilized by scholars to identify current and future research directions. They may also prove valuable for practitioners as both an incentive to engage in open innovation and guidance for its design and implementation. Furthermore, the results can contribute to disseminating knowledge about open innovation and its role in the green transformation. Full article

The present systematic review aims to provide a comprehensive synthesis of evidence and practices regarding sustainable career transitions in elite sport. Following PRISMA guidelines, an extensive literature search was conducted in SPORTDiscus (EBSCOhost), PsycINFO, Scopus, Web of Science, and Google Scholar databases, resulting in 117 manuscripts, published from January 2015 to May 2025, and meeting the defined inclusion criteria. The review focused on mental health, dual-career pathways, transition readiness, and identity-related issues among elite athletes, Olympians, and Paralympians. Methodologies included qualitative, quantitative, and mixed-methods designs, with multisport and mixed-gender samples prevailing. The most commonly used instruments were semi-structured interviews and surveys. The main findings highlighted the centrality of mental health support, the role of dual-career planning, and the importance of proactive identity negotiation. Despite growing research interest, significant gaps persist in access to psychological support, structured transition planning, and dual-career strategies, with notable inconsistencies across countries and sports. The review emphasizes the necessity for integrated, multidimensional guidance, culturally sensitive psychological services, and flexible educational pathways to promote athlete well-being and sustainable post-sport careers. These insights are intended to inform the implementation of the ERASMUS+ funded PORTAL project, supporting evidence-based interventions and the development of resources such as an online platform and Real-Life Transition Officers to enhance the transition experiences of elite athletes. Full article

Amid the urgent demands for global trade transformation and zero-carbon transition, sustainable maritime supply chains face challenges of high costs and complex coordination, necessitating the elimination of “isolated decision-making” to achieve sustainable development goals. This study constructs a profit analysis model under centralized and decentralized decision-making scenarios and various intelligent omni-channel models, exploring the profit composition, optimal pricing, and operational strategies of carriers and forwarders. Case analysis validates that collaborative optimization, particularly when forwarders leverage online channels and customer proximity, enables sustainable maritime transport and significantly enhances overall profits and efficiency in sustainable maritime supply chains. This research provides a theoretical and practical framework for collaborative optimization strategies contributing to sustainable maritime transport and port intelligence in marine engineering contexts. By this framework, it will be possible to advance green transformation, smart operations management, and digital innovation in the global maritime and marine industries. Full article

Consumer interest in alternative protein sources has grown rapidly, driven by concerns over health, sustainability and environmental impact. This study investigated perceptions, attitudes and behaviours towards alternative proteins among residents of Piedmont, northwestern Italy. A cross-sectional online and face-to-face survey was conducted between August and October 2023, collecting sociodemographic data, dietary habits, and respondents’ perception on plant-, insect-, snail-, and algae-derived products. Responses from 627 participants were analysed. Approximately one-third reported consuming alternative proteins, with uptake being higher among women, younger adults, and flexitarian respondents. Plant-based alternatives were by far the most frequently consumed, while insect- and snail-based products elicited strong aversion. Curiosity and interest on alternative options predominated among consumers, whereas indifference and disgust—particularly among women and towards animal-derived options—were common among non-consumers. Reported barriers included taste, quality, and safety concerns, with price emerging as a major constraint. These findings indicate that acceptance of alternative proteins is unevenly distributed across demographic groups and product types. Plant-based options currently appear best positioned to facilitate dietary shifts, whereas animal-derived alternatives remain hindered by cultural and sensory barriers. Supporting the protein transition will require strategies to improve affordability, sensory appeal and consumer trust. Full article

Increasingly, discussions that once took place in social environments are transitioning to digital platforms. The role of news media is significant in shaping and enhancing discussions around many topics. This study argues that health-related topics in public discourse, transitioning from offline to online, necessitate rigorous validation. That is why this study proposed the application of deep learning techniques to the boundaries and deviation of accuracies in health-related topics by analyzing health-related tweets from major news outlets such as BBC, CNN, CBC, and Reuters. The study developed LSTM and CNN classifiers to categorize content pertinent to the discourse following the formal deep learning process and employed a sequence of VAEs to verify the learnability and stability of the classifiers. The LSTM demonstrated superior performance compared to CNN, attaining validation accuracies of 98.4% on BBC and CNN, 97.8% on CBC, and 97.3% on Reuters. The optimal configuration of our LSTM achieved a precision of 98.69%, a recall of 98.20%, and an F1-score of 97.90% and recorded the lowest false positive rate, at 1.30%. This provided us with the optimal overall equilibrium for operational oversight. The VAE runs demonstrated that the model exhibited stability and the ability to generalize across different sources, achieving approximately 99.6% for Reuters and around 98.4% for BBC. The findings confirm that deep learning models are capable of reliably tracking the online migration of health discourse driven by news media. This provides a solid foundation for near-real-time monitoring of public engagement and for informing sustainable healthcare recommendation systems. Full article

Background: The digital transition is reshaping healthcare systems through the adoption of telemedicine and electronic health records (EHRs). While these innovations enhance efficiency and access, their implementation unfolds within overstretched organizational settings characterized by workforce shortages, bureaucratic demands, and heightened psychosocial risks. Burnout, impostor syndrome, and the quality of organizational support have thus become pivotal constructs in understanding healthcare professionals’ digital preparedness. Methods: A cross-sectional online survey was conducted among 111 professionals employed at two San Donato Group facilities in Bologna, Italy. The battery included socio-demographic and occupational data, perceptions of digitalization, and validated instruments: the Maslach Burnout Inventory (MBI), the Clance Impostor Phenomenon Scale (CIPS), and the Work Organization Assessment Questionnaire (WOAQ). Descriptive analyses were complemented by Classification and Regression Trees (CART) to identify predictors of perceived digital preparedness. Results: Most respondents (88%) acknowledged the relevance of digitalization, yet 18% felt unprepared, especially women and administrative staff. Burnout levels were high, with 51% reporting emotional exhaustion, most notably among nurses and female participants. Impostor syndrome affected 43% of the sample, with nurses exhibiting the highest prevalence. CART analysis identified emotional exhaustion, impostor syndrome, and age as principal discriminators of digital preparedness. Conclusions: Our findings highlight the role of emotional exhaustion, impostor syndrome, and age in shaping perceived digital preparedness, underscoring the need for tailored training and supportive practices to ensure a sustainable digital transition. Full article

Greenwashing threatens both consumer trust and the integrity of planetary health initiatives. Transparency in sustainability claims is therefore critical for promoting ecological wellbeing, strengthening food security, and fostering equitable development in the Anthropocene. This paper investigates greenwashing by adapting the Gompers Governance Index methodology to the context of sustainability claims. The focus of our greenwashing index in this case is the sustainability claims made by canned tuna brands in Australia. The index is created from a comprehensive set of criteria for environmental claims, based on the Australian Competition and Consumer Commission (ACCC)’s principles for trustworthy claims. We show that the canned tuna brands form two clusters: one at a very high level of achievement and a second group with notable opportunities to improve on their sustainability communication and transparency. The results also highlight several key issues, most notably a lack of information regarding future sustainability transition plans across most brands. A deeper analysis of the scoring scheme shows that the brands with third-party sustainability certification generally achieved a better alignment with the ACCC principles than other brands. Future iterations of this analysis could incorporate online transparency and third-party verification to provide a more comprehensive assessment. Overall, this study underscores the need for clearer sustainability messaging, greater regulatory enforcement, and improved accountability among brands to ensure consumers can make informed choices. Full article

This article examines the role of digital communication, social media, and peer influence in Generation Z’s transition from fast fashion to more sustainable consumption practices. Building on sustainability and social influence theories, this study applies a mixed-methods design that combines qualitative content analysis of social media discourse with a quantitative online survey (n = 202). The survey instrument, validated by a panel of experts, measured four dimensions—digital communication, peer influence, sustainable attitudes, and sustainable behaviors—using Likert-type scales with adequate reliability (Cronbach’s α ≥ 0.70). The statistical analyses included descriptive statistics, Pearson correlations, and mean comparison tests (t-test, ANOVA). The results show that digital platforms not only raise awareness but also normalize sustainable choices through peer validation and community engagement. Strong correlations confirm that peer influence mediates the relationship between exposure to sustainability content and the adoption of responsible behaviors, while perceptions of brand sustainability show weaker associations with purchase intention. This study highlights a persistent attitude–behavior gap and identifies opportunities for more effective digital engagement. The findings contribute to the literature on sustainable fashion consumption by clarifying the communicative mechanisms shaping Gen Z’s decisions. Practical implications are offered for brands, policymakers, and educators seeking to foster authentic and inclusive sustainability strategies, particularly in addressing gender differences in sustainable adoption. Full article

Background/Objectives: The healthcare sector is a significant source of pollution, and it is widely acknowledged that changes are required to transition to more sustainable healthcare practice. Nurses represent more than half of the sector’s workforce and are uniquely positioned to enact change. However, expertise on environmental sustainability within the nursing field is a barrier despite the topic being positively embraced by students. Methods: This research employed a cross-sectional design using an anonymous online survey with convenience sampling from registered nursing students studying online to understand their attitudes towards environmentally sustainable healthcare. Data were collected between April 2023 and January 2024 with quantitative results analysed using descriptive statistics and qualitative results using thematic analysis. Results: Results show that registered nursing students are aware of the negative environmental impact of healthcare practice, realise the importance of working more sustainably and understand the value and role of education to facilitate meaningful change in the sector. However, they called for more educational content, specifically on carbon footprints, waste management, and resource use, paired with organisational leadership support and workplace training in healthcare settings. Conclusions: Adopting these recommendations endorsed by student nurses in practice could support nurses to reduce the environmental burden of the healthcare sector and contribute to both net zero and the United Nations Sustainable Development Goals. Full article

Post-consumer plastic waste poses increasing challenges in urban areas, where recycling heavily relies on consumer cooperation. In Japan, two recycling routes for post-consumer plastic waste from households exist, the municipal recycling route and the retailer recycling route, with the latter requiring more voluntary effort. This study aims to explore the diversity of consumers’ cooperative behaviors in Japan’s post-consumer plastic waste recycling system, with a focus on the retailer route. We conducted an online survey with 758 respondents from Sendai, Kawasaki, and Kyoto in urban Japan, using a structured questionnaire based on the knowledge–attitude–practice (KAP) framework. K-means clustering was conducted to identify behaviorally distinct consumer groups. Three clusters were revealed: Fully Engaged Consumers, Knowledge-Driven Consumers, and Passively Engaged Consumers. These groups exhibited distinct differences in cooperative recycling behaviors and socio-demographic characteristics. Our findings demonstrate the heterogeneity of consumer cooperation and underscore the importance of targeted strategies. By focusing on the retailer recycling route and consumer segmentation, this study addresses key gaps in Japan’s research on urban plastic waste. The results provide a theoretical and empirical foundation for differentiated policy-making, ultimately supporting the transition to a more sustainable and circular economy in post-consumer plastic waste recycling in urban Japan. Full article