Search Results (437)

Electric vehicles represent a promising path toward reducing transportation-related greenhouse gas emissions, but partisan polarization presents a significant barrier to their widespread adoption in the United States. This study provides a detailed look at the auto industry’s strategies for reframing electric vehicles (EVs) to resonate with mainstream American consumers, and it contributes to scholarly understanding of how sustainable products are framed to politically diverse audiences. Through a comprehensive content analysis, we analyze the persuasive strategies in all available EV video advertisements run in the U.S. from 2018 to 2023. Spanning 263 unique advertisements and 62 vehicle models, our analyses reveal the ways that nature and the environment are used in EV ads. Our data show that 90% of EV ads do not make any reference to sustainability, and 71% do not employ nature in any way. Instead, EV ads tend to emphasize vehicle features and performance, and they portray EVs as a futuristic transportation revolution. We situate these findings within the broader literature on partisan polarization of environmental issues, identity signaling in green consumer behavior, and green marketing strategy. We argue that the near-total absence of sustainability messaging in EV advertising reflects an industry-wide strategy to decouple electric vehicles from environmental identity and reframe them as mainstream consumer products. Full article

This paper studies how European low-cost carriers (LCCs) adjust and mitigate in response to environmental taxation over the past decade. Global and EU frameworks—most prominently the Emissions Trading System (EU-ETS) and CORSIA—have raised carbon-related compliance costs, while several European states have introduced or increased aviation-specific taxes. Given their cost-sensitive business models, LCCs are especially responsive to tax-induced cost shocks. The paper is structured in three parts: an overview of global aviation taxation, a review of national initiatives in selected European countries and an analysis of how LCCs respond to mitigate these impacts. We assemble a hand-collected panel of ten European LCCs and conduct qualitative documentary analysis of annual and sustainability reports (2020–2024), triangulated with regulatory and policy documents. The findings indicate consistent adaptation via selective airfare price pass-through, capacity reallocation away from higher-tax, price-elastic short-haul routes and efficiency gains through fleet renewal and operational measures. We also document targeted stakeholder messaging and advocacy—public campaigns, legal challenges, and, in some jurisdictions, legal disputes—aimed at softening tax design burden. Full article

The circular economy (CE) can help businesses use resources more efficiently, but empirical evidence on CE adoption among non-European SMEs remains limited. This study examines CE practices, benefits, challenges, and future intentions in 220 Saudi Arabian SMIs. A structured survey collected data on four CE practice domains (resource efficiency, waste management, eco-design, and reverse logistics), four benefit dimensions (economic, environmental, operational, and reputational), four challenge dimensions (financial, organizational, technical, and regulatory), and six future intention items. CE adoption was moderate (M = 3.29 on a five-point scale) and balanced across all four practice domains, with resource efficiency scoring highest (M = 3.32). Benefit scores averaged 3.46, far outpacing challenges (M = 2.78). This benefit surplus of 0.68 points (on a five-point scale) indicates that Saudi SMIs perceive CE as worthwhile and view its barriers as manageable rather than prohibitive. Together, perceived benefits and perceived challenges explained 54.3% of the variance in CE adoption (R² = 0.543) in multiple regression analysis. Reducing perceived challenges may be a more effective lever for promoting CE adoption than amplifying perceived benefits, as challenges exerted a larger absolute standardised effect (β = −0.50) than perceived benefits (β = 0.39). Once perceptions were controlled, perceived benefits and challenges significantly predicted future CE intentions, but current CE practices did not. According to the Theory of Planned Behavior’s attitudinal pathway, firms without CE experience can develop strong forward-looking intentions if the business case is convincing and barriers are perceived as manageable. Technical and organizational barriers outweighed financial ones, indicating the need for capacity-building interventions over supplementary financing, unlike European findings. About 79% of respondents were neutral or positive about government-supported CE expansion. CE adoption did not differ significantly by firm size, geographic location, or ownership structure, suggesting that Vision 2030’s sustainability messaging has established a broad baseline of CE awareness across Saudi SMIs. Full article

Reducing food waste and promoting green consumption have emerged as critical priorities in the transition toward a more sustainable food system. Purchasing near-expired food (NEF) offers a pathway to address both issues simultaneously, yet the mechanisms underlying consumers’ intentions toward such products remain underexplored. This research investigates these mechanisms through two complementary studies conducted in China, focusing on near-expired bread as a representative product category. Study 1 (N = 1154) draws on the stimulus–organism–response (SOR) framework to examine how key factors shape consumers’ purchase intentions toward near-expired bread. The results show that price discounts and longer remaining shelf life increase purchase intentions by enhancing perceived value and reducing perceived risk. Moreover, consumers’ normative beliefs with regard to food waste avoidance positively predict purchase intentions through heightened moral satisfaction. Study 2 (N = 746) employs a 2 × 3 between-subjects factorial experiment to test two types of retail interventions for near-expired bread: discount messages (50% vs. 10% off) and information framing (gain-framed vs. loss-framed). Extending Study 1, this experiment introduces two additional dependent variables—product attitudes and perceived environmental external benefits—to capture a broader range of consumer responses. ANCOVA results reveal that consumers with higher environmental concern exhibit stronger purchase intentions, more favorable product attitudes, and greater perceived environmental external benefits. Price discount messages significantly influence purchase intentions and product attitudes, whereas information framing affects purchase intentions and environmental external benefits. Notably, the two interventions interact to shape consumers’ perceptions of environmental external benefits. Together, these studies advance a comprehensive understanding of near-expired bread purchases and offer empirical guidance for designing effective retail communication strategies to promote green consumption and reduce food waste. Full article

In cooperative multi-agent reinforcement learning (MARL), communication can address the challenges of partial observability and environmental non-stationarity by conveying environmental features and decision intents, respectively. However, existing methods either focus on only one type of information—failing to tackle both challenges simultaneously—or conflate these signals, causing agents to confuse environmental context with decision intents. This paper introduces Disentangling Environment and Decision messages for Multi-Agent Communication (DEDMAC), a framework that explicitly separates these two information types into two distinct message streams and processes them independently. Specifically, environment messages are integrated into long-term memory to resolve partial observability, while decision messages provide instantaneous intent signals to mitigate non-stationarity and facilitate coordination. To prevent semantic confusion between the two message streams, we employ mutual information constraints to ensure semantic disentanglement. Furthermore, we design a mechanism that leverages global information to correct intent biases in decision messages resulting from limited local perspectives during generation. Evaluations across complex multi-agent benchmarks demonstrate that DEDMAC significantly outperforms state-of-the-art communication-based methods. These findings indicate that the explicit separation and specialized processing of environment and decision semantics are critical for achieving optimal performance in dynamic, collaborative multi-agent systems. Full article

The easily defanged myth that baby rattlesnakes (genera Crotalus and Sistrurus) are more dangerous than adults has persisted in North America despite all evidence to the contrary. The most often cited reason for the babies-more-dangerous (BMD) myth is the venom-dump (VD) hypothesis: babies, in contrast to adults, cannot control how much venom they expend, and therefore inject all of it when biting. We undertook three approaches to explore the origin, transmission, and prevalence of this myth and its most frequent explanation. First, we examined historical newspaper accounts. From 130 newspaper stories mentioning the relative danger of baby rattlesnakes, we identified a timeline in which (1) most stories prior to 1969 were factually correct; (2) the BMD myth and VD hypothesis likely originated in the mid-to-late 1960s and became entrenched in California, especially, from 1970 to 1999; (3) factually incorrect statements subsequently prevailed throughout North America from 2000 to 2014; and (4) factually correct stories regained prominence with apparent effective messaging success from 2015 onward. We further learned that general information stories about rattlesnakes, more often citing subject experts like university professors, were much more likely to provide accurate information than local snakebite stories, which more often cited health professionals (e.g., physicians, veterinarians, pharmacists) and emergency responders (e.g., police and fire officers) who frequently supplied misinformation. Second, we surveyed familiarity with the BMD myth and VD hypothesis among 53 university classrooms (including one high school) representing 3751 students across 29 states within the United States. Consistent with the California media’s outsized influence on misinformation transmission, familiarity with the myth was greatest in the southwestern states (52.6%) and declined moving north and east, with the least familiarity in the northeastern states (16.4%). Third, a small survey of 75 emergency responders and health professionals from Southern California revealed that a whopping 73.3% actually believed the BMD myth. Numerous organizations generally regarded as authoritative further amplified the misinformation, especially on the internet, where some content persists to this day. Unfortunately, belief in the BMD myth and VD hypothesis can lead to negative consequences, including misinformed risk-taking by those encountering snakes, unwarranted fear among snakebite victims, and inappropriate care delivered by misinformed or patient/family-pressured medical professionals. Our findings target health professionals and emergency responders as priority audiences for education. Full article

As environmental challenges intensify globally, there is an urgent need for more effective environmental communication practices. In response, Virtual Influencers (VIs) have just recently started to emerge as influential voices in environmental messaging, aiming to foster environmental citizenship through more sustainable consumption patterns. However, despite growing interest, VIs represent a relatively new research phenomenon within the field of environmental sustainability. Aiming to consolidate the available empirical research, this study provides the first systematic scoping review in the emerging field of VIs for environmental sustainability. Using the Theory–Context–Characteristics–Methodology framework, this review synthesizes 19 studies. The analysis reveals that research in this field is largely driven by China and the United States and is characterized by a predominance of quantitative, experimental approaches based on social media-like stimuli. Sustainable consumption, especially eco-product purchasing, emerges as the most common environmental focus. This review proposes a conceptual framework that integrates antecedents, outcomes, and underlying mechanisms of environmental VI campaigns; individual characteristics; contextual and campaign-level moderators; and strategic anthropomorphism fit. While the emerging empirical base limits meta-analytical synthesis, this review consolidates current knowledge and outlines a forward-looking research agenda with theory-driven pathways to advance VI-led sustainability communication. Full article

Advancement of precision agriculture increasingly relies on cost-effective and scalable technologies for real-time environmental management, particularly in greenhouse environments where vertical and spatial microclimate heterogeneity influences crop performance. This study presents the design, implementation, and experimental validation of an Android-based smartphone application edge supervisory monitoring system integrated with multi-layer wireless sensing and control nodes for real-time monitoring in a smart greenhouse. The system combined multi-layer wireless sensor nodes, wireless control nodes, a Long-Range Wide Area Network (LoRaWAN) gateway, Message Queuing Telemetry Transport (MQTT) communication, and a cloud-synchronized smartphone-based supervisory interface for visualizing environmental data, detecting defined abnormal events, and controlling actuators remotely. For feasibility tests, 54 sensing nodes and 12 actuator nodes were deployed across three vertical layers in two sections, measuring temperature, humidity, CO₂ concentration, and light intensity. Abnormality was defined as environmental threshold violations, statistical signal deviations, actuator power inconsistencies, and communication timeout events. Experimental results revealed vertical and spatial environmental variability across greenhouse sections, while real-time time-series and 3D spatial maps enabled the rapid detection of abnormal conditions. The rule-based abnormality detection engine identified out-of-range environmental values and sensor-related inconsistencies and generated immediate notifications. Smartphone profiling revealed that display and system-level processes accounted for energy consumption, with battery power reaching a peak of 3.5 W and application CPU utilization ranging from 40% to 70% during active monitoring. The results demonstrate system-level feasibility, responsiveness, and scalability under commercial greenhouse workloads, supporting future integration of predictive control and energy-efficient operation. Full article

Modern supply chains operate as highly interconnected networks characterized by decentralization, data silos, and increasing sustainability constraints. Although Graph Neural Networks (GNNs) have demonstrated strong capability in modeling relational dependencies in such systems, their deployment is often restricted by limited inter-organizational data sharing. Federated learning (FL) enables collaborative model training without exposing proprietary data; however, existing federated approaches rarely integrate graph structure and sustainability objectives within a unified framework. This study proposes a Sustainability-Aware Federated Graph Attention Network (FedGAT) for decentralized supply chain process modeling. The framework combines Graph Attention Networks with federated optimization and introduces an emission-weighted attention modulation mechanism that embeds environmental considerations directly into the message-passing process. A multi-tier synthetic supply chain benchmark is constructed to evaluate the approach under realistic governance and data-locality constraints. Experiments are conducted across multiple random seeds, graph scales (up to 500 nodes), and client partition settings. Results show that while centralized graph learning achieves the lowest prediction error, the proposed sustainability-aware federated model maintains statistically indistinguishable predictive performance compared to standard federated baselines (paired sign test p = 1.000), while systematically reducing attention allocated to high-emission transport links. A structured label sensitivity analysis confirms that performance gains are not attributable to circular label construction. Furthermore, a λ-ablation study demonstrates a smooth and controllable trade-off between predictive accuracy and sustainability alignment through a single governance parameter. These findings establish the feasibility of privacy-preserving, sustainability-modulated graph learning for decentralized supply chain analytics and provides a principled foundation for environmentally aligned AI deployment in multi-enterprise networks. Full article

This study examines Italian adolescents’ willingness to use electronic devices rather than printed paper for reading and writing activities, a behavioural choice that differs from more conventional pro-environmental actions due to its implications for learning and well-being. We design an online vignette experiment with two informational conditions: an individual-impact and a social-impact treatment. Socially framed information is associated with a higher propensity to prefer digital tools relative to individual framing, although overall treatment effects are modest. Stronger treatment responsiveness emerges only when students reflect on avoidable printing practices. Preferences are primarily shaped by socio-demographic factors, particularly gender, educational background, and health and environmental attitudes. Paper is valued for its perceived benefits to reasoning, memory, and reading enjoyment, while digital tools are favoured for their ease of writing and editing. Even if not fully generalizable, our findings highlight the atypical nature of a paper–digital trade-off: when consumption choices involve cognitive or identity-related considerations, sustainability-based messages alone may be insufficient. Full article

Background/Objectives: Promoting healthy and sustainable food choices is critical to address environmental and public health challenges, prevent health issues and enhance psychological well-being. Technological tools have shown promising results in supporting the adoption of many sustainable practices and in improving dysfunctional eating behaviors in clinical psychological settings. However, their potential to encourage healthy and sustainable eating choices in the general population through psychological or behavioral strategies remains understudied and unsystematically observed. Methods: A systematic review was conducted following PRISMA guidelines to (1) investigate digital tools and interventions aimed at improving healthy and sustainable eating behaviors, and (2) categorize the psychological or behavioral strategies they implemented. Four databases (PsycINFO, PsycArticles, PubMed, ProQuest) were searched combining keywords on sustainable diets (e.g., “sustainable diet,” “food sustainability”) and technological tools (e.g., “virtual reality,” “mobile app,” “web app”). Results: N = 16 studies were included. N = 7 (44%) used mobile app-based tools, n = 6 (38%) were virtual reality, n = 2 (12%) were web platforms, and n = 1 (6%) was an instant-messaging system. Digital tools and interventions were useful in promoting healthy and sustainable eating behaviors by implementing psychological or behavioral strategies like awareness (n = 10, 63%), decision-making (n = 6, 38%), emotion regulation (n = 3, 19%), nudging (n = 5, 31%), self-efficacy (n = 5, 31%) and self-monitoring (n = 4, 25%). Only a few studies included follow-ups (n = 5, 31%). Conclusions: Findings suggest that digital technologies have the potential to improve healthy and sustainable eating behaviors in the general population. However, given heterogeneity and methodological issues of studies, more longitudinal and rigorous research is needed to confirm the effectiveness and long-term benefits of different technological tools. Full article

Attribute-based encryption (ABE) is an advanced public key encryption mechanism that enables the precise control of access to encrypted data based on attributes assigned to users and data. Attribute-based access control (ABAC), which is built on ABE, is crucial in providing dynamic, fine-grained, and context-aware security management in modern Internet of Things (IoT) applications. ABAC controls access based on attributes associated with users, devices, resources, and environmental conditions rather than fixed roles, making it highly adaptable to the complex and heterogeneous nature of IoT ecosystems. ABE can significantly improve the security and manageability of modern military IoT systems. Nevertheless, its practical implementation requires obtaining a range of performance data and assessing the additional overhead, particularly regarding data transmission efficiency. This paper provides a comparative analysis of the performance of two cryptographic schemes for attribute-based encryption in the context of special Internet of Things (IoT) applications. This applies to special environments, both military and civilian, where infrastructure is unreliable and dynamic and decisions must be made locally and in near-real time. From a security perspective, there is a need for strong authentication, precise access control, and a zero-trust approach at the network edge as well. The CIRCL scheme, based on traditional pairing-based ABE (CP-ABE), is compared with the newer Covercrypt scheme, a hybrid key encapsulation mechanism with access control (KEMAC) that provides quantum resistance. The main goal is to determine which scheme scales better and meets the performance requirements for two different scenarios: large corporate networks (where scalability is key) and tactical edge networks (where minimal bandwidth and post-quantum security are paramount). The benchmark results are used to compare the operating costs in detail, such as the key generation time, message encryption and decryption times, public key size, and cipher overhead, showing that Covercrypt provides a reduction in ciphertext overhead in tactical scenarios, while CIRCL offers faster decryption throughput in large-scale enterprise environments. It is concluded that the optimal choice depends on the specific constraints of the operating environment. Full article

Corporate communication of sustainability within the fashion industry operates in a sector with high reputational exposure and increasing demands for environmental and social accountability. Despite the growing volume of research, the field remains conceptually and methodologically dispersed, with a predominant focus on discourse and limited emphasis on verification and structural integration. This study presents a systematic review of 80 peer-reviewed articles published between 2015 and 2025 in Scopus and Web of Science, examining how sustainability communication in the fashion industry has been conceptualised, investigated, and operationalised across the literature. Following the PRISMA protocol and employing a mixed-method approach combining bibliometric and content analyses, four thematic lines were identified: (1) corporate communication and reputation; (2) digital communication and social media; (3) CSR and sustainability; (4) transparency and greenwashing. Keyword co-occurrence and conceptual clusters were mapped using VOSviewer. Results reveal a predominance of content analysis, case studies, and corporate narratives, with fewer quantitative and mixed-method designs. Research largely focuses on discourse interpretation and credibility-building rather than on empirically verifying sustainability commitments. Thematic developments indicate a shift from general CSR frameworks toward transparency, digital traceability, and social media communication. Key gaps persist in message authenticity, greenwashing evaluation, and communicating public sustainability funds, including Next Generation EU programs. Overall, the review portrays an expanding yet fragmented field in which sustainability communication operates primarily as a reputational mechanism. Methodologically, the study combines a PRISMA-guided systematic literature review with bibliometric mapping techniques to support thematic synthesis and field contextualisation. Full article

In today’s society, children are increasingly exposed to negative environmental information. How such exposure shapes pro-environmental behavioral intentions matters for the Sustainable Development Goals (SDGs). However, empirical evidence specific to Chinese children remains limited. An explanatory sequential mixed-methods study was conducted with Grade 4 to 6 students in N City, China (survey n = 253; focus groups n = 16). The survey assessed negative environmental information exposure, environmental worry, environmental self-efficacy, and behavioral intentions, and tested mediation and moderation models. Focus groups were analyzed thematically to refine the mechanisms. Quantitative results revealed a clear “double-edged” pattern: exposure to negative environmental information was positively associated with pro-environmental behavioral intentions via heightened environmental worry, yet negatively associated with intentions via reduced environmental self-efficacy. Moreover, environmental self-efficacy moderated the link between worry and intention. Qualitative findings further corroborated and specified these pathways, indicating that children interpret negative messages through crisis narratives, blame attribution, and scale comparison, whereas actionable scripts and positive feedback help sustain perceived control and support translating worry into intention. Sustainability communication and education should therefore pair risk information with efficacy cues, feasible actions, and meaningful feedback rather than relying solely on threat narratives. Full article

With rapid advances in nanotechnology and synthetic biology, biological nanonetworks are emerging for biomedical and environmental applications within the Internet of Bio-NanoThings. While they rely on molecular communication, experimental validation remains limited, especially for non-ideal effects such as molecular accumulation. In this work, we present a novel table-top experimental system that emulates the core functionalities of a biological nanonetwork and is straightforward to reproduce in standard laboratory environments, also making it suitable for educational demonstrations. To the best of our knowledge, this is the first experimental platform that incorporates two end nodes capable of acting interchangeably as transmitter and receiver, thereby enabling true bidirectional molecular communication. Information transfer is realized through controlled release, advection and diffusion of molecules, using molecular concentration coding analogous to concentration shift keying, while the receiver decodes messages by comparing measured concentrations against predefined thresholds. Based on the measurements reported herein, the drop-based algorithm substantially outperforms the threshold-based scheme. Specifically, it reduces first-message latency by more than 2.5× across the tested volumes and reduces latest-message latency by up to 71%, providing approximately 3.7× better message delivery. A key experimental outcome is the observation of channel saturation: beyond a certain operating period, residual molecules accumulate and effectively saturate the medium, inhibiting reliable further message exchange until sufficient clearance occurs. This saturation-induced “channel memory” emerges as a fundamental practical constraint on sustained communication and achievable data rates. Overall, the proposed platform provides a scalable, controllable, and experimentally accessible testbed for systematically studying signal degradation, saturation, clearance dynamics, and throughput limits, thereby bridging the gap between theoretical models and practical implementations in the Internet of Bio-NanoThings era. Full article