Search Results (295)

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

This article develops a structural–analogical framework to investigate conceptual resonances between Qur’an 24:35—the Verse of Light—and contemporary relational models in physics, while maintaining firm epistemic boundaries between theology, philosophy, and empirical science. The Qur’anic metaphors of niche, glass, tree, oil, and layered light depict a graded ontology of manifestation in which being unfolds through ordered relations grounded in a transcendent divine command (amr). By contrast, modern physics—as represented by quantum field theory, loop quantum gravity, and cosmological models—operates entirely within immanent causality, conceiving spacetime and matter as relational, dynamic, and structurally emergent. Despite their distinct registers, both discourses converge structurally around a shared grammar of potentiality, relation, and manifestation. Drawing on classical Islamic metaphysics—especially al-Ghazālī’s Mishkāt al-Anwār—alongside contemporary relational ontologies in physics (Smolin, Rovelli, Markopoulou), the article argues that “real time” functions as an ontological choice that conditions intelligibility, agency, and novelty. The Qur’anic notion of nūr is interpreted not as physical luminosity but as the metaphysical ground of determinability, while the quantum vacuum is treated as a field of latent potential—without suggesting empirical equivalence. Rather than concordism, the comparison highlights a structural resonance (used here as a heuristic notion indicating pattern-level affinity rather than equivalence, correspondence, or empirical verification): both traditions affirm that reality is neither static nor substance-based, but arises through dynamic relational processes grounded—whether transcendently or immanently—in principled order. Full article

This article explores how ideologies and discourses of school safety and policing operate within the U.S. educational system and shape broader understandings of safety, punishment, and mass incarceration. Guided by corpus-assisted discourse studies (CADS) and Critical Discourse Analysis (CDA), it examines three questions: how different educational community members define safety (and for whom), how policing is constructed as safe or unsafe, and how these narratives position certain students as threats. Analyzing school board meetings, online public comments, and conversations with students within the context of a 2020 local decision to remove School Resource Officers from Eugene, Oregon, public schools, the study identifies common and contested discursive strategies about policing and youth across social and historical contexts. A central finding is the role of adultism in sustaining links between schools and prisons, normalizing compliance, silence, and the disappearance of youth who challenge adult authority. These adultist discourses position students as belonging to adults and construct dissent as danger, enabling surveillance, policing, and incarceration to circulate as commonsense approaches to “community safety.” From these findings, the article introduces YouthCrit as an emergent conceptual framework grounded in youth analyses of adultism. In turn, YouthCrit offers a framework for scholars, educators, and practitioners to challenge deficit narratives about students while centering youth presence and perspectives in school-based research and within social movements for community safety. Full article

When the breath of a passerby momentarily clouds the glass of a display window that distinctly withdraws from the urban continuum, it signals the presence of a perceptual threshold, an atmospheric interruption before resuming its path. This liminal space engages the observer not through physical entry, but through a multisensory activation. While the notion of atmosphere has been extensively theorised in architecture and environmental aesthetics, its implications remain insufficiently explored within retail design, particularly in the spatial and exhibit design perspective in the display window. Contemporary shop windows aim to engage passersby beyond mere product visibility; the need to articulate and design for atmosphere becomes more urgent. This article offers an atmospheric interpretation of the display window, understood not simply as a commercial interface or spatial facade but as a dioramic device in which all elements are staged in evocative micro-environments. Through the reinterpretation of selected historical and contemporary case studies, the research positions the display window as a privileged site for atmospheric experimentation. By framing window display design as an environmental and perceptual construct, the study contributes to the broader discourse on atmospheres, advancing the atmospheric paradigm as an operative approach for contemporary exhibit and spatial design practices. Full article

This article examines Daniel 10 as a key witness to the formation of early Jewish apocalyptic literature. The chapter portrays Daniel as a sage whose encounter with a celestial messenger prepares him to guide his community. Narratively, this scene introduces the final revelation of Daniel 11–12; ideologically, it expresses the authors’ conviction that access to the heavenly realm is achieved through scribal discipline and engagement with inherited traditions. The study advances two related contributions. Drawing on recent reassessments of apocalyptic origins—especially insights from Aramaic texts at Qumran—the study offers a new analysis of intertextuality in Daniel 10, highlighting how apocalyptic writing predates the persecutions of Antiochus IV and is developed through the reinterpretation of authoritative Scriptures in the Persian and Hellenistic periods. Daniel’s profile aligns with elite temple-based scribes who operated across imperial and cultic settings and used apocalyptic discourse in intra-Judean power struggles. In addition, the reference to the Tigris in Dan 10:4 is reinterpreted in light of Seleucia-on-Tigris, whose culturally hybrid environment illuminates the cosmopolitan backdrop of the maśkîlîm traditions. Full article

Large Language Models (LLMs) are increasingly used in industrial monitoring and decision support, yet they remain prone to process-control hallucinations—diagnoses and explanations that sound plausible but conflict with physical constraints, sensor data, or plant dynamics. This paper investigates hallucination as a failure of abductive reasoning, where missing premises, weak mechanistic support, or counter-evidence lead an LLM to propose incorrect causal narratives for faults such as pump restriction, valve stiction, fouling, or reactor runaway. We develop a neuro-symbolic framework in which Abductive Logic Programming (ALP) evaluates the coherence of model-generated explanations, counter-abduction generates rival hypotheses that test whether the explanation can be defeated, and Discourse-weighted ALP (D-ALP) incorporates nucleus–satellite structure from operator notes and alarm logs to weight competing explanations. Using our 500-scenario Process-Control Hallucination Dataset, we assess LLM reasoning across mechanistic, evidential, and contrastive dimensions. Results show that abductive and counter-abductive operators substantially reduce explanation-level hallucinations and improve alignment with physical process behavior, particularly in “easy-but-wrong’’ cases where a superficially attractive explanation contradicts historian trends or counter-evidence. These findings demonstrate that abductive reasoning provides a practical and verifiable foundation for improving LLM reliability in safety-critical process-control environments. Full article

This article reconceptualizes entropy not as a metaphysical substance but as a structural constraint that shapes the formation, energetic cost, and durability of records. It links the coarse-grained—and typically irreversible—flow of time to questions of moral responsibility and divine justice. Drawing on the second law of thermodynamics, information theory, and contemporary cosmology, it advances an analogical and operational framework in which actions are accountable in an analogical sense insofar as they leave energetically costly traces that resist erasure. Within a Qur’ānic metaphysical horizon, concepts such as kitāb (Book), ṣaḥīfa (Record), and tawba (Repentance) function as structural counterparts to informational inscription and revision, without reducing theological meaning to physical process. In contrast to Kantian ethics, which grounds moral law in rational autonomy, the Qurʾān situates responsibility within the irreversible structure of time. Understood in this way, entropy is not a threat to coherence but a condition for accountability. By placing the Qurʾānic vision in dialog with modern science and theology, the article contributes to broader discussions on justice, agency, and the metaphysics of time within the science–religion discourse. Full article

The accelerating integration of artificial intelligence (AI) into cybersecurity operations has introduced new challenges and opportunities for modernizing incident response (IR) practices. This study explores how cybersecurity practitioners perceive the adoption of intelligent automation and the readiness of legacy frameworks to address AI-driven threats. A structured, two-part quantitative survey was conducted among 194 U.S.-based professionals, capturing perceptions on operational effectiveness, trust in autonomous systems, and the adequacy of frameworks such as NIST and SANS. Using binary response formats and psychometric validation items, the study quantified views on AI’s role in reducing mean time to detect and respond, willingness to delegate actions to autonomous agents, and the perceived obsolescence of static playbooks. Findings indicate broad support for the modernization of incident response frameworks to better align with emerging AI capabilities and evolving operational demands. The results reveal a clear demand for modular, adaptive frameworks that integrate AI-specific risk models and decision auditability. These insights provide empirical grounding for the design of next-generation IR models and contribute to the strategic discourse on aligning automation capabilities with ethical, scalable, and operationally effective cybersecurity response. Full article

Artificial intelligence (AI) is increasingly regarded as a transformative enabler of sustainable logistics and supply chain management, particularly in the context of global energy transition and decarbonization efforts. This study provides a comprehensive conceptual and exploratory assessment of the multidimensional role of AI, highlighting both its potential to enhance energy efficiency and reduce greenhouse gas emissions, as well as its inherent environmental costs associated with digital infrastructures such as data centers. The findings reveal the dual character of digitalization: while predictive algorithms and digital twin applications facilitate demand forecasting, process optimization, and real-time adaptation to market fluctuations, they simultaneously generate additional energy demand that must be offset through renewable energy integration and intelligent energy balancing. The analysis underscores that the effectiveness of AI deployment cannot be captured solely through economic metrics but requires a holistic evaluation framework that incorporates environmental and social dimensions. Moreover, regional disparities are identified, with advanced economies accelerating AI-driven green transformations under regulatory and societal pressures, while developing economies face constraints linked to infrastructure gaps and investment limitations. The analysis emphasizes that AI-driven predictive models and digital twin applications are not only tools for energy optimization but also mechanisms that enhance systemic resilience by enabling risk anticipation, adaptive resource allocation, and continuity of operations in volatile environment. The contribution of this study lies in situating AI within the digital–green synergy discourse, demonstrating that its role in logistics decarbonization is conditional upon integrated energy–climate strategies, organizational change, and workforce reskilling. By synthesizing emerging evidence, this article provides actionable insights for policymakers, managers, and scholars, and calls for more rigorous empirical research across sectors, regions, and time horizons to verify the long-term sustainability impacts of AI-enabled solutions in supply chains. Full article

In recent years, the rapid construction of government-subsidized rental housing (GRH) has partially alleviated housing pressures caused by the growing number of migrant workers and persistently high rental costs in Shanghai. However, its overriding emphasis on construction and allocation efficiency neglects the realization of spatial justice, particularly in underdeveloped urban areas. This study adopts a mixed-methods approach to examine all 25 GRHs completed and operational in Shanghai’s Five New Towns, employing morphological characteristics and inherent differences to analyze their impacts on spatial justice. First, this study integrates urban functions and spatial justice elements to establish a systematic classification framework and an evaluative system for GRH, and then assesses the achievement of spatial justice across existing projects. Subsequently, morphological analysis is employed to examine how GRHs shape the socio-spatial context of new towns, thereby assessing their role in reinforcing or undermining spatial justice. Finally, this study establishes data logic between typological factors and morphological characteristics and analyzes the inherent differences among various types of GRH by using Fisher’s exact test. The results reveal that although the existing GRHs are situated in different urban geospatial contexts, they exhibit a severe homogenization phenomenon in terms of construction modality, planning layout, and community boundary, with only the residential scale showing inherent differences. The research findings highlight a systematic neglect of spatial justice in the current GRH development paradigm and reveal the underlying causes. This study contributes to the discourse on spatial justice in GRH development by broadening its dimensions, and it provides valuable insights for promoting the realization of spatial justice through multi-tiered policy framework, place-making design strategy, and a joint operation model. Full article

The Australian public and broader society have little awareness of the seminal relationship between water supply and data usage/storage. Most data centers (DCs) consume large volumes of water to operate servers that supply digital society’s instantaneous 24/7 information communication systems. DC water consumption is a global issue that lacks transparency, sustainable management, and effective governance. This article analyzes current Australian legislation, policies, and industry sustainability plans to examine whether and in what ways the absence of clear water governance requirements for DC may contribute to state and national water insecurity. It shows how academic and applied discourses conceptualize, research, and respond to DC sustainability as an energy issue. This conceptualization masks the relevance of DC water usage/security. The results show that Australian legislation, policy, planning, and management lack sufficient transparency and state governance regarding the industry’s water use and accountability. Global and national DC certifications are discussed, and policy solutions are recommended to mitigate future DC pressure on water supply and related consequences. Our conclusions advocate the necessity of improving public awareness, industry accountability, and government management strategies (policy and legislation) for sustainable water practices in Australia, as artificial intelligence increases DC quantity and size, exacerbating supply and consumption in local environments that legislate against nuclear energy alternatives. Full article

This study investigates the environmental and economic dynamics of sustainable aviation through the perspectives of senior executives in Türkiye’s civil aviation sector. As global aviation continues to face increasing pressure to decarbonize, understanding how industry leaders perceive and respond to carbon emission challenges is critical. The research employs a qualitative methodology based on semi-structured interviews with ten executives across airlines, airports, and aviation authorities. Using Python-based data mining techniques and thematic analysis, three core themes emerged: (1) sustainable aviation experience and economic dimensions; (2) carbon emissions reduction and efficient aviation systems; (3) sustainable energy and alternative fuel technologies. Findings reveal that while environmental sustainability is a growing concern, operational costs, technological constraints, and regulatory uncertainties significantly influence implementation. Stakeholders emphasized the importance of coordinated action among governments, industry, and international organizations, especially in scaling Sustainable Aviation Fuels (SAFs) and enhancing infrastructure for electric and hydrogen-powered aircraft. The study concludes that achieving net-zero aviation by 2050 requires an integrated approach that balances technological innovation, policy incentives, and stakeholder engagement. This multidimensional insight contributes to the ongoing discourse on low-carbon transition strategies in aviation, offering policy-relevant implications for developing countries. Full article

This paper examines how entrenched dichotomies between natural/cultural and tangible/intangible heritage shape conservation policy in contexts where material, ecological, and socio-cultural dimensions are deeply interdependent. Despite calls for more integrated frameworks, limited empirical research examines how such categorical divisions operate within living rural heritage environments or how they align with community perspectives and inform conservation policies. This paper addresses this gap by analysing the persistence of rigid heritage taxonomies in officially designated traditional villages in central rural Greece exploring how heritage officials and residents perceive and value their heritage. Drawing on qualitative fieldwork across six villages—including interviews, focus groups, and consultations with heritage professionals—it demonstrates that these categorical divisions fail to reflect local understandings of heritage as a living socio-ecological system. For residents, ecological conditions, built forms, agricultural practices, and social relations are interdependent and tied to livelihoods, land stewardship, and communal identity. Findings show that the Authorized Heritage Discourse (AHD) reinforces artificial separations that are misaligned with grassroots perceptions and hinder integrated planning. This mismatch has direct implications for sustainability: governance models that fragment nature, culture, and community obscure socio-ecological processes and limit the development of meaningful sustainability strategies. By foregrounding experiential and affective dimensions of heritage, the paper advances debates on community-centred and context-responsive heritage management. It reframes rural heritage as a co-produced, evolving system of material, social, and ecological relations, positioning rural landscapes as critical arenas for addressing sustainability challenges and offering new empirical insights into an underexplored dimension of heritage research. The study further advocates for governance approaches that embed local ontologies and lived knowledge into policy and practice, fostering more inclusive, resilient, and socio-ecologically grounded heritage frameworks capable of supporting long-term sustainable development. Full article

This study explores the core competencies required for sales and marketing roles in the rapidly evolving NEV sector. Adopting an exploratory sequential mixed-methods design, it employs a big data-driven approach to construct a competency framework: web crawlers collected NEV-related recruitment data across over 20 major Chinese cities, the Latent Dirichlet Allocation (LDA) model identified core competency items, and a multi-dimensional consensus scoring process via the Nominal Group Technique (NGT) refined the framework. The resulting validated model comprises nine thematic clusters, reflecting a shift from internal combustion engine (ICE) vehicle sales’ traditional skill set. Beyond enriching conventional competencies (customer reception, sales service, CRM, sales support), it highlights emerging capabilities: live-streaming/short-video marketing, digital media operations, and ecosystem-oriented resource collaboration. Further, NGT-based multi-dimensional evaluations (frequency, importance, difficulty) generated a four-quadrant matrix, offering actionable guidance for vocational education and corporate training (VET) curriculum design. Theoretically, this study redefines digital-era automotive sales roles: not mere product sellers, but core actors in user experience co-creation and ecological value integration, which enriches discourse on sales role evolution. Full article

This study examines how major global hotel groups construct sustainability through corporate communication, assessing both the thematic content and the internal coherence of their Environmental-Social-Governance (ESG) narratives. The research question is How do international hotel corporations construct sustainability through their corporate communication and ESG reporting? The research applies qualitative content analysis of sustainability reports from ten international hotel corporations and a four-layer discursive coherence model (performance, operational, narrative, strategic), the study analyses 888 coded quotations and 205 sustainability-theme occurrences in ATLAS.ti version 25, a qualitative data-analysis software. Results show that while measurable, performance-based disclosures dominate—such as digital food-waste monitoring, emissions-intensity reductions, and responsible sourcing—symbolic language remains strategically deployed to reinforce identity, purpose, and legitimacy. Across the sector, sustainability discourse converges around four recurring pillars: environmental performance leadership, community resilience, responsible business governance, and inclusive economic empowerment. The study advances theoretical work on sustainability communication by conceptualizing discursive coherence as an indicator of organizational authenticity and offers actionable insights for enhancing credibility and stakeholder trust in corporate ESG reporting. Full article