Search Results (135)

This study examines community-based wellness tourism (CBWT) in Ubud, Bali, focusing on ownership structures, community participation, and the role of local traditions. Using a qualitative design, the data were collected through semi-structured interviews with wellness stakeholders and field observations of spas and yoga centers. The findings reveal that spas are predominantly locally owned and staffed, ensuring value retention and skill development, while flagship yoga and retreat centers are dominated by non-local actors, creating risks of economic leakage and weaker cultural stewardship. Community involvement is strong in operations but limited in planning and governance, highlighting a policy–practice gap. Integrating Balinese traditions, such as Usada Bali and Melukat, could enhance authenticity but requires careful protection against commodification. The findings reveal that locally owned spas contribute to SDG 1 (No Poverty) and SDG 8 (Decent Work and Economic Growth) through local value retention, employment creation, and skill development, while non-local dominance of yoga and retreat centers risks economic leakage and weakened cultural guardianship. The study also identifies gaps in governance and planning, underscoring the need for inclusive participation and capacity building to align with SDG 11 (Sustainable Cities and Communities). Integrating Balinese traditions, such as Usada Bali and Melukat, highlights the opportunities for safeguarding cultural heritage, provided that protocols against commodification are enforced. To address these challenges, the study proposes a strategic framework emphasizing governance reform through a quadruple-helix model, shared-equity ownership, standardized human capital development, and protocol-based cultural guardianship. Despite the limitations of this being a single-case, cross-sectional study, the findings contribute to wellness tourism research by shifting attention from visitor demands to governance and equity. The study offers practical strategies for institutionalizing CBWT in Ubud while providing a transferable model for destinations seeking to balance growth with tradition. Full article

The Blue Schools initiative integrates the ocean into classroom learning through project-based approaches, cultivating environmental awareness and a deeper sense of responsibility toward marine ecosystems and human–ocean interactions. Although the European Blue School initiative has grown steadily since its launch in 2020, its uneven uptake raises important questions about the territorial factors that influence certification. This study examines the spatial determinants of Blue School certification in Mallorca, Spain, where a bottom-up pilot initiative successfully certified 100 schools. Using Maximum Entropy (MaxEnt) modeling, we estimated the spatial probability of certification based on 16 geospatial variables, including proximity to Blue Economy actors, hydrological networks, transport accessibility, and socio-economic indicators. The model achieved strong predictive performance (AUC = 0.84) and revealed that features such as freshwater ecosystems, traditional economic structures, and sustainable public transport play a greater role in school engagement than coastal proximity alone. The resulting suitability map identifies over 30 high-potential, non-certified schools, offering actionable insights for targeted outreach and educational policy. This research highlights the potential of presence-only modeling to guide the strategic expansion of Blue Schools networks. Full article

The COVID-19 pandemic has accelerated the development of virtual internationalization (VI) in higher education institutions (HEIs). Yet, how it becomes normalized and how digital governance factors collectively address the challenges arising from its implementation remain underexplored, particularly in non-Anglophone contexts. This qualitative study draws on eight focus group discussions involving 46 participants from Austria, Belgium, China, Portugal, Poland, and Türkiye. Guided by Actor-Network Theory (ANT), the study reveals that VI has been widely normalized through pandemic-driven adaptations. While its conceptual boundaries remain contested and continually negotiated amid rapid technological advancement, the findings illuminate VI’s expansive international outreach and potential for building institutional global visibility and national soft power. Despite the normalization of VI, its implementation is constrained by pedagogical, technological, and cross-cultural factors, alongside governance and management complexities. An interdependent system of digital governance factors has also been identified across strategic, operational, human, and collaborative dimensions. This study concludes that effective VI implementation does not arise from static policies but from the continuous negotiation and coordinated alignment of these digital governance factors. Full article

Effective rural governance is essential for fully advancing rural revitalization and achieving sustainable development in rural areas. The construction and operation of rural governance networks are intrinsically tied to governance effectiveness. Focusing on the Tianlong Tunpu community in Guizhou Province, China, this research applies Actor–Network Theory (ANT) to analyze the transformation of rural governance networks. It introduces the “administrative–social–market” threefold empowerment mechanism to explain the underlying mechanism of this process. The findings indicate that the successful construction and operation of a stable rural governance network hinge on the ability of key actors to continuously mobilize administrative, social, and market resources during translation processes, thereby achieving stable “administrative–social–economic” threefold empowerment. This mechanism is dynamic, adapting through reallocation and adjustment to meet the changing realities of rural development. The study also highlights the combined influence of human and non-human actors in the rural governance network. Among non-human factors, Tunpu culture stands out for its cultural and economic value, serving as a shared foundation for collaboration between local governments, rural elites, villagers, and businesses. This cultural element acts as a cornerstone, ensuring the network’s stability and adaptability over time. Full article

Rehabilitation devices such as actuated lower-limb exoskeletons can provide essential mobility assistance for pediatric patients with gait impairments. Enhancing their control systems under conditions of user variability and dynamic disturbances remains a significant challenge, particularly in active-assist modes. This study presents a human-in-the-loop control architecture for a pediatric lower-limb exoskeleton, combining outer-loop admittance control with robust inner-loop trajectory tracking via a non-singular terminal sliding-mode (NSTSM) controller. Designed for active-assist gait rehabilitation in children aged 8–12 years, the exoskeleton dynamically responds to user interaction forces while ensuring finite-time convergence under system uncertainties. To enhance adaptability, we augment the inner-loop control with a twin delayed deep deterministic policy gradient (TD3) reinforcement learning framework. The actor–critic RL agent tunes NSTSM gains in real-time, enabling personalized model-free adaptation to subject-specific gait dynamics and external disturbances. The numerical simulations show improved trajectory tracking, with RMSE reductions of 27.82% (hip) and 5.43% (knee), and IAE improvements of 40.85% and 10.20%, respectively, over the baseline NSTSM controller. The proposed approach also reduced the peak interaction torques across all the joints, suggesting more compliant and comfortable assistance for users. While minor degradation is observed at the ankle joint, the TD3-NSTSM controller demonstrates improved responsiveness and stability, particularly in high-load joints. This research contributes to advancing pediatric gait rehabilitation using RL-enhanced control, offering improved mobility support and adaptive rehabilitation outcomes. Full article

The evolving role of paramedics presents a unique opportunity to enhance care for people who use drugs, a population disproportionately affected by systemic barriers and inequities. In fragmented healthcare systems, paramedics are well-positioned to improve access through initiatives such as social prescribing and harm reduction. This theory-driven commentary explores how Network Theory and Actor Network Theory provide valuable theoretical underpinnings to conceptualize and strengthen the integration of paramedics into care networks. By emphasizing the centrality of paramedics and their connections with both human and non-human actors, these theories illuminate the relational dynamics that influence effective care delivery. We argue that leveraging paramedics’ positionality can address gaps in system navigation, improve patient outcomes, and inform policy reforms. Future work should examine the roles of other key actors, strengthen paramedic advocacy, and identify strategies to overcome barriers to care for people who use drugs. Full article

This study examines how South Korea’s 1970s Protestant democratization movement embodied Hans Joas’s concept of the “sacralization of the person” during the authoritarian Yushin regime. Challenging binary narratives of human rights origins as exclusively secular or religious, the research analyzes how Korean Protestant activists created institutions, rituals, and theological frameworks that infused human dignity with sacred character. The study demonstrates how religious actors effectively bridged religious and secular boundaries in human rights advocacy through historical analysis of the National Council of Churches in Korea’s Human Rights Committee, Thursday Prayer Meetings, and the development of Minjung theology. The findings reveal a distinctive process of sacralization that evolved from individual to collective understandings of human dignity, culminating in the radical Minjung Messiah theory. This case study illustrates how Joas’s affirmative genealogy operates in non-Western contexts, showing that sacralization emerges through dynamic interactions between religious conviction, historical events, and cultural transformation rather than through abstract reasoning alone. The Korean experience demonstrates that universal human rights gain moral force when diverse traditions collaborate to uphold human dignity across ideological divides. Full article

Trolling behavior is not simply a result of ‘bad actors’, an individual trait, or a linguistic phenomenon, but emerges from complex contagious social dynamics. This study uses formal concepts from information theory and complexity science to study it as such. The data comprised over 13 million Reddit comments, which were classified as troll or non-troll messages using the BERT model, fine-tuned with a human coding set. We derive the unique, minimally complex, and maximally predictive model from statistical mechanics, i.e., ε-machines and transducers, and can distinguish which aspects of trolling behaviors are both self-motivated and socially induced. While the vast majority of self-driven dynamics are like flipping a coin (86.3%), when social contagion is considered, most users (95.6%) show complex hidden multiple-state patterns. Within this complexity, trolling follows predictable transitions, with, for example, a 76% probability of remaining in a trolling state once it is reached. We find that replying to a trolling comment significantly increases the likelihood of switching to a trolling state or staying in it (72%). Besides being a showcase for the use of information-theoretic measures from dynamic systems theory to conceptualize human dynamics, our findings suggest that users and platform designers should go beyond calling out and removing trolls, but foster and design environments that discourage the dynamics leading to the emergence of trolling behavior. Full article

Actor-network theory (ANT) represents a research paradigm that emerged within science and technology studies by explicitly focusing on the contingency of scientific inventions and the role of non-human actants in the invention course of action. The article adopts an ANT perspective to focus on the invention of Sub-Wavelength Grating (SWG) photonic metamaterials by the members of a research group in the National Research Council (NRC) of Canada. The results are based on unstructured interviews with the key inventor and two domain experts as well as on textual analysis (topic modeling) of the contributions and novelty claims in the corpus of research articles by the NRC group crafting the concept and potential applications of SWGs in the photonics domain. Topic modeling is a type of statistical modeling that uses unsupervised machine learning to identify clusters or groups of similar words within a body of text. It uses semantic structures in texts to understand unstructured data without predefined tags or training data. Adopting topic modeling as a semantic technology allowed the identification of two of the key non-human factors or actants: (a) photonics design and simulations and (b) the fabrication techniques and facilities used to produce the physical prototypes of the photonics devices incorporating the invented SWG waveguiding effect. Using topic modeling as a semantic technology in ANT-inspired research studies focusing on non-human actants provides significant opportunities for future research. Full article

Water availability is an important aspect of life. With the increasing number of humans with the same water cycle, it is possible that water scarcity will occur, including in Bandung City, especially in Jatisari Village, Buahbatu District. Public awareness and regulation of water use are required. This study aims to analyze the influence of environmental communication on community behavior with the intervening variable of cognitive dissonance in household water use in Jatisari Village; explore environmental communication carried out and what the obstacles are; and also explore the scope of water policies in Bandung City. This study uses a mixed method with analysis using SPSS 25 and ATLAS.ti 23.1. The results of the Sobel test showed that the mediation coefficient of 0.0288 was significant, which means that cognitive dissonance has significant mediating influence in the relationship between environmental communication and perceptions for behavioral change. Meanwhile, environmental communication in Bandung City Government and non-Bandung City Government to maintain the sustainability of water has shown collaboration involving various stakeholders. Although there is much progress, there are still obstacles that need to be overcome, especially in coordination between actors and increasing public awareness. Also, six policies on water were found but showed that there is no policy that specifically regulates water conservation, water distribution, and limits on water use to support water availability. This is likely due to the absence of parameters that can convince the government to make policies on water conservation, for example, through the Water Scarcity Assessment Index. Full article

This article explores the concept of inclusive education in contexts of forced displacement, where refugeehood intersects with special educational needs and disabilities (SEND), as well as gender, poverty, and overlapping forms of discrimination. Drawing on extensive engagement with a refugee-led, non-formal educational organization in Lebanon, we revisit inclusion for refugee children with SEND through a bottom-up lens. We consider inclusion within Lebanon’s sociopolitical landscape, focusing on a community of educators, most of whom are refugees themselves. Grounded in decolonial feminist epistemologies and critical refugee studies, we highlight the role of educators as cultural actors who employ engaged pedagogies to humanize the educational experiences of refugee children with SEND. By challenging traditional top-down, outcome-oriented policies that focus solely on structural access, this paper advocates for an alternative framework based on refugee educators’ orientations to working with children with SEND. This framework prioritizes holistic, context-sensitive approaches to inclusion and underscores the importance of humanizing education for refugees. Full article

This paper analyzes the impact of AI systems in the judicial domain, adopting an actor–network theory (ANT) framework and focusing on accountability issues emerging when such technologies are introduced. Considering three different types of AI applications used by judges, this paper explores how introducing non-accountable artifacts into justice systems influences the actor–network configuration and the distribution of accountability between humans and technology. The analysis discusses the actor–network reconfiguration emerging when speech-to-text, legal analytics, and predictive justice technologies are introduced in pre-existing settings and maps out the changes in agency and accountability between judges and AI applications. The EU legal framework and the EU AI Act provide the juridical framework against which the findings are assessed to check the fit of new technological systems with justice system requirements. The findings show the paradox that non-accountable AI can be used without endangering fundamental judicial values when judges can control the system’s outputs, evaluating its correspondence with the inputs. When this requirement is not met, the remedies provided by the EU AI Act fall short in costs or in organizational and technical complexity. The judge becomes the unique subject accountable for the use and outcome of a non-accountable system. This paper suggests that this occurs regardless of whether the technology is AI-based or not. The concrete risks emerging from these findings are that these technological innovations can lead to undue influence on judicial decision making and endanger the fair trial principle. Full article

Farmers have a pivotal responsibility in soil conservation: they can either preserve or deplete it through their choices. The responsibility of agriculture increases when practised in delicate ecosystems, such as lagoonal ones. The Venetian Lagoon islands, which are increasingly subjected to natural and anthropic subsidence, occasional flooding events (acqua alta), and eustatic sea level rise, are constantly exposed to erosive processes that challenge farmers to play with their adaptive capability. This research was carried out on the islands of Sant’Erasmo and Vignole, the most representative of island agriculture in the Venetian Lagoon: they almost exclusively rely on agriculture, which is almost nil in the other islands. This empirical research aimed to explore farmers’ agricultural practices, perceptions of soil changes, and how they adapt to them. It was fundamental for this study that the field research involved direct human contact with farmers (through semi-structured interviews) for data collection and using qualitative methods for data analysis, integrating scientific and non-scientific forms of knowledge and actors. The final purpose was to demonstrate the sustainability (valued on the potential depletion or regeneration capability) of agricultural practices and adaptation strategies on a theoretical basis. Despite their polycultural landscape (maintained by low-input farming systems), escaped from the predominant landscape oversimplification, Sant’Erasmo and Vignole are also subjected to unsustainable agricultural practices, including heavy mechanisation and synthetic inputs. Coupled with natural soil salinity that is exacerbated by increasing drought periods, these practices can contribute to soil degradation and increased salinity. The reported adaptation strategies, such as zeroed, reduced, or more conscious use of machines, were guided by the need to reduce the negative impact of soil changes on productivity. Our research revealed some of them as sustainable and others as unsustainable (such as increasing irrigation to contrast soil salinity). Participatory action research is needed to support farmers in designing effective sustainable agricultural practices and adaptation strategies. Full article

The recent emergence of generative AI, particularly prompt-based models, and its embedding in many social domains and practices has revived the notion of co-creation and distributed agency already familiar in art practice and theory. Drawing on Actor-Network Theory (ANT) and its central notion of agency, this article explores the extent to which the collaboration between the artist and AI represents a new form of co-creation and distributed agency. It compares AI art with artistic movements such as Dada, Surrealism, Minimalism and Conceptual Art, which also challenged the notion of the autonomous artist and her agency by incorporating randomness on the one hand and rule-based systems on the other. In contrast, artistic practice with AI can be described as an iterative process of creative feedback loops, oscillating between order and disorder, (calculated) randomness and calculation, enabling a very specific kind of self-reflection and entanglement with the alienation of one’s own perspective. Furthermore, this article argues that most artistic projects that explore and work with AI are, in their own specific way, a demonstration of hybridity and entanglement, as well as the distribution of agency between the human and the non-human, and can thus be described as a network phenomenon. Full article

Artificial intelligence (AI) has significantly disrupted B2B markets, impacting companies at the product, service, and organizational levels. A key focus is on how to leverage the power of AI to augment and automate activities to create value for customers. One specific form of value creation investigated in marketing is co-creation between parties. Introducing AI into the co-creation process is exciting due to its technological characteristics and the anticipated business value it can bring. This study explores the state of the art in co-creation with AI in B2B markets. It examines how buyers, suppliers, and technology providers interact, along with their motives and characteristics. Furthermore, it investigates the processes enabling these interactions, from the form of AI used and AI tool integration to the necessary capabilities of other actors involved. Finally, this study examines the content of co-creation described in the existing literature and the value created jointly. This review contributes to delineating the interaction between human and non-human actors in a B2B co-creation ecosystem. The implications of this research provide B2B companies with a discussion about the actors, motives, characteristics, processes, and content of co-creation with AI in B2B drivers and barriers of AI for co-creation, mapping the way for success. Full article