Search Results (343)

This study intends to provide insights and challenges for the shape of the B movement, an emerging paradigm that fosters cross-sectoral partnerships and encourages ethical business practices through so-called purpose-driven businesses. Focusing on Italy, the first European country to adopt this managerial model, the research investigates Italian Benefit Corporations, known as Società Benefit (SB), and their most appealing sustainability claims from a consumer perspective. The analysis intends to inform theory development by assuming the cultural and creative industry (CCI) as a field of interest, utilizing a within-subjects experimental design to analyze data from a diverse consumer sample across various contexts. The results indicate that messaging centered on economic sustainability emerged as the most effective in generating positive consumer responses, highlighting a prevailing inclination toward pragmatic factors such as affordability, economic accessibility, and tangible benefits rather than social issues. While sustainable behaviors are not yet widespread, latent ethical sensitivity for authentic, value-driven businesses suggests that economic and ethical dimensions can be strategically synthesized to enhance consumer engagement. This insight highlights the role of BCs in catalyzing a shift in consumption patterns within ethical-based and creative-driven sectors. Full article

As sustainable cultural heritage tourism increasingly demonstrates its unique value and appeal, effectively stimulating tourists’ emotional experiences and value co-creation behaviors has become a focal issue. This study investigates how multiple tourist motivations (self-enhancement, escapism, and social interaction) shape value co-creation through emotional mediators—namely aesthetic, nostalgic, and flow experiences. Data were collected from 470 valid responses from visitors to the UNESCO-listed Suzhou Classical Gardens in China and analyzed using partial least squares structural equation modeling (PLS-SEM). The results show that these emotional experiences significantly drive value co-creation behavior: self-enhancement motivation enhances all three experiences, escapism mainly promotes nostalgic and flow experiences, and social interaction primarily affects aesthetic experience. These findings clarify the psychological mechanisms through which tourists’ motivations and emotional experiences influence value co-creation behavior in cultural heritage tourism. This research advances our understanding of the motivation–experience–behavior framework and emphasizes that enhancing emotional engagement is key to fostering sustainable cultural heritage tourism practices. The study provides practical implications for designing experiences and strategies that balance visitor satisfaction with the long-term vitality of cultural heritage sites and local communities, thereby contributing to broader sustainable development goals. Full article

Amid ongoing societal development, tourists’ travel behavior patterns have been undergoing substantial transformations, and understanding their evolution has emerged as a key area of scholarly interest. Taking Beijing as a case study, this research aims to uncover the spatiotemporal evolution patterns of tourist flows and their underlying driving mechanisms. Based on digital footprint relational data, a dual-perspective analytical framework—“tourist perception–tourist flow network”—is constructed. By integrating the center-of-gravity model, social network analysis, and regression models, the study systematically examines the dynamic spatial structure of tourist flows in Beijing from 2012 to 2024. The findings reveal that in the post-pandemic period, Beijing tourists place greater emphasis on the cultural connotation and experiential aspects of destinations. The gravitational center of tourist flows remains relatively stable, with core historical and cultural blocks retaining strong appeal, though a slight shift has occurred due to policy influences and emerging attractions. The evolution of the spatial network structure reveals that tourism flows have become more dispersed, while the influence of core scenic spots continues to intensify. Government policy orientation, tourism information retrieval, and the agglomeration of tourism resources significantly promote the structure of tourist flows, whereas the general level of tourism resources exerts no notable influence. These findings offer theoretical insights and practical guidance for the sustainable development and regional coordination of tourism in Beijing, and provide a valuable reference for the spatial restructuring of urban tourism in the post-COVID-19 era. Full article

With the advancement of immersive technologies, metaverse museum exhibitions have become an increasingly important medium through which audiences access cultural content and experience artistic works. This study aims to identify the key factors influencing visitors’ processual experiences in metaverse museum exhibitions and to explore how these factors collectively contribute to the formation of satisfaction with the visiting experience. Adopting an interdisciplinary theoretical perspective, the study integrates the Experience Economy theory with the Stimulus–Organism–Response (SOR) model to construct a systematic theoretical framework. This framework reveals how exhibition-related stimuli affect visitors’ behavioral intentions through psychological response pathways. Specifically, perceived educational appeal, interactive entertainment, escapist experience, and perceived visual aesthetics are defined as stimulus variables, while psychological immersion, emotional trigger, and cognitive engagement are introduced as organismic variables to explain their effects on satisfaction with the visiting experience and social sharing intention as response variables. Based on 507 valid responses, Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed for empirical analysis. The results indicate that interactive entertainment and escapist experience have significant positive effects on psychological responses, serving as key drivers of deep visitor engagement. Emotional Trigger acts as a significant mediator between exhibition stimuli and satisfaction with the visiting experience, which in turn significantly predicts social sharing intention. In contrast, perceived educational appeal and perceived visual aesthetics exhibit weaker impacts at the cognitive and behavioral levels. This study not only identifies these weakened pathways but also proposes optimization strategies grounded in experiential construction and cognitive synergy, offering guidance for enhancing the educational function and deep experiential design of metaverse exhibitions. The findings validate the applicability of the Experience Economy theory and the SOR model in metaverse cultural contexts and deepen our understanding of the psychological mechanisms underlying immersive cultural experiences. This study further provides a pathway for shifting exhibition design from a “content-oriented” to an “experience-driven” approach, offering theoretical and practical insights into enhancing audience engagement and cultural communication effectiveness in metaverse museums. Full article

Urban green spaces (UGSs) and forests play a vital role in shaping sustainable and livable cities, offering not only ecological benefits but also spaces that are essential for human well-being, social interactions, and everyday life. Understanding the landscape features that resonate most with public preferences is essential for enhancing the appeal, accessibility, and functionality of these environments. However, traditional approaches—such as surveys or single-data analyses—often lack the nuance needed to capture the complex and multisensory nature of human responses to green spaces. This study explores a cross-modal methodology that integrates natural language processing (NLP) and deep learning techniques to analyze text and image data collected from public reviews of 19 urban parks in Nanjing. By capturing both subjective emotional expressions and objective visual impressions, this study reveals a consistent public preference for natural landscapes, particularly those featuring evergreen trees, shrubs, and floral elements. Text-based data reflect users’ lived experiences and nuanced perceptions, while image data offers insights into visual appeal and spatial composition. By bridging human-centered insights with data-driven analysis, this research provides a robust framework for evaluating landscape preferences. It also underscores the importance of designing green spaces that are not only ecologically sound but also emotionally resonant and socially inclusive. The findings offer valuable guidance for the planning, design, and adaptive management of urban green infrastructure in ways that support healthier, more responsive, and smarter urban environments. Full article

The use of AI-generated content in education is significantly increasing, but its reliability for teaching natural sciences and, more specifically, biodiversity-related contents still remains understudied. The need to address this question is substantial, considering the relevance that biodiversity conservation has on human sustainability, and the recurrent presence of these topics in the educational curriculum, at least in Spain. The present article tests the existence of biases in some of the most widely used AI tools (ChatGPT-4.5, DeepSeek-V3, Gemini) when asked a relevant and objective research question related to biodiversity. The results revealed both taxonomic and geographic biases in all the lists of endangered species provided by these tools when compared to IUCN Red List data. These imbalances may contribute to the perpetuation of plant blindness, zoocentrism, and Western centrism in classrooms, especially at levels where educators lack specialized training. In summary, the present study highlights the potential harmful impact that AI’s cultural and social biases may have on biodiversity education and Sustainable Development Goals-aligned learning and appeals to an urgent need for model refinement (using scientific datasets) and teacher AI literacy to mitigate misinformation. Full article

Once marketed as smoking cessation tools, e-cigarettes are used by adolescents mainly for entertainment, driven by aggressive marketing, appealing flavors, and safer alternatives to smoking. This study analyzes data from the National Youth Tobacco Survey (NYTS) to explore trends in adolescent perceptions and usage patterns of e-cigarettes from 2011 to 2023, focusing on their dual roles as cessation aids and recreational products. Cross-sectional data from the NYTS over four years (2011: N = 18,866; 2015: N = 17,711; 2019: N = 19,018; 2023: N = 22,069) formed the foundation of this study. This study investigated demographic trends, usage frequency, initial and future use patterns, and quitting behavior. Descriptive statistics and latent class analysis (LCA) were employed to examine adolescent e-cigarette use patterns, with statistical significance determined at p < 0.05. The reasons for using e-cigarettes have changed significantly over the years because of family or friends. In all years (2015–2023), use for smoking cessation dropped significantly (2.33% in 2023 vs. 6.95% in 2015). In 2023, 38% wanted to quit using e-cigarettes within 30 days, and 25% attempted to quit at least 10 times. Flavored e-cigarette users were more than twice as likely to consider quitting compared to those not interested in flavors (OR = 2.64). Our findings highlight a significant decrease in the use of e-cigarettes for cessation, with a corresponding increase in recreational use over time. These trends emphasize the urgency of implementing interventions to mitigate nicotine addiction and its associated health risks among adolescents. Adolescent e-cigarette use has transitioned from being primarily driven by cessation efforts to recreational purposes, largely influenced by appealing flavors and social factors such as peer influence, showing the need for stricter marketing regulations and targeted educational campaigns. Full article

This article presents a social and historical analysis of Barranco district in Lima, Peru, examining its evolution as a postmodern tourism destination. Through documentary analysis of historical records, guidebooks, press articles, and novels, we investigate the significant social milestones along history with cultural, and economic impacts on tourism development in Barranco. The research employs a methodology to identify key elements that have shaped Barranco’s trajectory from a fishing settlement to a bohemian district in a lively city and finally to its status as a “hipster” neighbourhood. Drawing on postmodern tourism theory and Hawley’s socioeconomic development theory, we argue that Barranco represents a distinctive case of how cultural capital transforms and resignifies tourism spaces through complex identity processes. Findings reveal that Barranco’s development follows three clear phases: rural settlement (until the 19th century), seaside resort (mid-19th century to 1940s–60s), and urban district with postmodern tourism appeal (1990s onward). The study concludes that while Barranco’s bohemian and artistic identity has become a distinctive tourism asset, the district faces gentrification challenges that threat its sociocultural diversity and authenticity. This research contributes to understanding how postmodern tourism influences territorial identity transformation and illuminates the social, historical, and economic forces that shape distinctive urban tourism destinations. Full article

Artificial intelligence (AI) is reshaping mobile food-ordering apps, yet its impact on customer experience (CX) has not been fully mapped. Following systematic review guidelines (PRISMA 2020), a search of SCOPUS, Web of Science, ScienceDirect, and Google Scholar in March 2025 identified 55 studies published between 2022 and 2025. Since 2022, research has expanded from intention-based studies to include real-time app interactions and live app experiments. This shift has helped to identify five key CX dimensions: (1) instrumental usability: how quickly and smoothly users can order; (2) personalization value: AI-generated menus and meal suggestions; (3) affective engagement: emotional appeal of the app interface; (4) data trust and procedural fairness: users’ confidence in fair pricing and responsible data handling; (5) social co-experience: sharing orders and interacting through live reviews. Studies have shown that personalized recommendations and chatbots enhance relevance and enjoyment, while unclear surge pricing, repetitive menus, and algorithmic anxiety reduce trust and satisfaction. Given the limitations of this study, including its reliance on English-only sources, a cross-sectional design, and limited cultural representation, future research should investigate long-term usage patterns across diverse markets. This approach would help uncover nutritional biases, cultural variations, and sustained effects on customer experience. Full article

This study explores the factors influencing Arab tourists’ intention to revisit Turkish destinations, contributing to the theoretical discourse on tourist behavior, destination loyalty, and sustainable tourism development. Over the past decade, Türkiye (Turkey) has experienced a steady increase in tourists, with Arab visitors forming a significant segment. This growing market segment presents unique opportunities and challenges that remain understudied in academic literature. Despite their prominence, limited research exists on Arab tourists’ behavior, needs, and experiences in Türkiye. This study employs a mixed-method approach, combining surveys and interviews conducted between July and December 2024. Data from 713 surveys and 14 interviews were analyzed, revealing that 72% of Arab tourists were satisfied with their current visit, 49% with previous visits, 57% indicated a strong intention to revisit, and 81% recommended Turkish destinations to others. The study identifies seven key dimensions of revisit intention through Exploratory Factor Analysis that collectively explain 79.841% of the variance in revisit intention. The regression analysis demonstrates how different factors contribute to revisit decisions, with overall satisfaction (β = 0.622), loyalty (β = 0.521), financial status (β = 0.507), behavior of staff and locals (β = 0.484), cultural and social appeal (β = 0.478), overall experiences (β = 0.329), educational level (β = 0.333), accessibility and convenience (β = 0.288), service quality (β = 0.216), and length of stay (β = 0.128) emerging as significant predictors. These findings underscore the complexity of the decision-making process, suggesting that no single theory can fully explain tourists’ behavior and the sustainability of their visits. The study recommends further exploration of the proposed model and investments in tourism staff training, particularly in foreign languages, to enhance service quality and encourage repeat visits. Addressing issues such as unprofessional behavior and language barriers can improve overall satisfaction and loyalty, increasing the likelihood of Arab tourists revisiting Türkiye. This research highlights the importance of sustainable tourism practices in fostering long-term economic and social benefits for Turkish destinations. Full article

Social media sites, particularly Instagram, have recently developed effective instruments for influencing customer behavior, particularly regarding eating experiences and cuisine. This study examines the influence of posting food-related content on Instagram on customers’ intention to visit casual dining restaurants in Saudi Arabia. This study also examined the mediating role of credibility in shaping this intention. A quantitative approach was used through online surveys gathered from 685 Saudi Arabian customers. The major findings of this study revealed that foodstagramming attributes such aesthetic appeal (AA) and post popularity (PP) positively influence customers’ visit intention (VI) in the context of casual dining restaurants in Saudi Arabia. Furthermore, the content credibility (CC) of foodstagramming positively influences customers’ VI. In addition, the CC of foodstagramming partially mediates the relationship between AA, PP, and customers’ VI. Theoretical contributions and practical implications are also provided. Full article

Spalted wood is a natural material characterized by distinctive colors and patterns from wood decay fungi as they digest their substrate and leave behind colored secretions. As an art form, spalted wood was used heavily in western Europe from the 1400s–1600s; however, its use in other parts of the world remains deeply understudied, even in cultures where wood played a dominant social role. The use of spalted wood in China, in particular, is unknown, despite a growing interest by Chinese researchers in modern spalting practices and their potential commercial value. This study systematically reviews the potential historic use, current artistic value, environmental significance, and future application prospects of spalted wood for a Chinese market. By integrating historical records, modern scientific research, and insights from traditional Chinese woodworking, the study provides a comprehensive analysis of the aesthetic and functional value of spalted wood for Chinese markets. The findings indicate that the random and non-reproducible nature of spalted wood imbues it with exceptional artistic appeal and collectability, which has a strong potential to appeal to Chinese furniture design, decorative arts, and high-end interior applications. Furthermore, spalted wood demonstrates considerable potential for resource recycling by turning otherwise non-commercial, pale, white woods into higher value options—a phenomenon that has been studied across Europe and North America. In China, this has the potential to reduce wood waste and advance ecological design. However, challenges remain in fungal infection control, processing techniques, and market adoption. With ongoing advancements in biotechnology and manufacturing processes, spalted wood is poised to gain greater recognition in Chinese art, design, and cultural innovation while also contributing to green manufacturing and sustainable development. Full article

Meat secondary streams command low value along the meat value chain, with a significant portion of these exiting the food value chain and contributing to global food loss and waste. Valorizing these substantial secondary streams through the efficient extraction of high-biological-value proteins could translate into significant social, economic, and environmental benefits. Protein extraction from meat secondary streams offers a promising approach to enhance their nutritional and commercial value while supporting global food security initiatives. This approach could also help to distant these by-products from their original source, making them more appealing to consumers. The current review evaluates the protein content and valorization potential of meat secondary streams from various animal sources. It further provides a critical assessment of both traditional and emerging protein extraction techniques, highlighting their advantages, limitations, and applications. Existing knowledge gaps are also identified to guide future research. This review aligns the role of protein recovery technologies with the UN’s Sustainable Development Goal target 12.3, which seeks to halve global food waste by 2030. Full article

Currently, young populations (individuals under 26 years old) face unprecedented challenges, including climate change, environmental degradation, and the management of public health crises such as vaccine hesitancy. In this complex environment, social media plays a crucial role in shaping youth attitudes and behaviors, presenting both significant opportunities and risks. Social media platforms have become essential in shaping public opinion on general topics and health-related issues, particularly vaccination. Understanding how digital platforms influence youth behavior regarding vaccination can offer valuable insights into psychosocial mechanisms capable of stimulating sustainable behaviors among the same demographic. This study explores a novel intersection between public health and environmental communication, proposing that the same psychosocial and communicative mechanisms influencing pro-vaccination behaviors—such as trust, social influence, and emotional resonance—also underpin pro-environmental engagement among youth. Understanding this overlap allows for cross-domain strategies in digital communication campaigns. This paper examines how digital communication strategies effective in promoting vaccination can be adapted to foster pro-environmental behavior among youth. By identifying shared psychosocial mechanisms—such as fear, trust, and social influence—the study proposes a conceptual framework for leveraging social media to support sustainable behaviors. This study explores how social media influences youth attitudes towards vaccination and pro-environmental behavior. Using a structured questionnaire distributed among 450 young participants (aged 18–26) and analyzed through Structural Equation Modeling (SEM) via WarpPLS, the research identifies key psychosocial mechanisms such as fear, trust, and social influence. Results show that social media exposure and peer environment are strong predictors of both vaccination and environmental behaviors (R² = 0.70 for vaccination attitude; R² = 0.50 for environmental attitude). The proposed conceptual model highlights the importance of emotionally resonant, science-based communication strategies in promoting sustainable behaviors among youth. Practical implications for strategic digital campaigns are discussed. Full article

In an increasingly competitive global tourism context, territorial branding plays a key role in enhancing the visibility, identity, and resilience of regions. This study focuses on the Algarve, a region in southern Portugal, and investigates how innovation and competitiveness are reflected in its digital communication strategy. Using a mixed-methods approach, this research combines the quantitative analysis of 689 social media posts published in 2024 on Facebook, Instagram, and YouTube with the qualitative content analysis of 38 documents and the official website of Algarve. The findings reveal a coherent and visually appealing brand narrative centred on the coastal identity of the Algarve, complemented by content related to nature, gastronomy, and cultural heritage. Instagram stands out as the most engaging platform, particularly when posts adopt a participatory tone, emotional storytelling, and references to specific locations. However, only 6.4% of the content surpassed the 1% engagement threshold, suggesting limited audience connection. The website presents a broader thematic range but under-represents intangible heritage and local products.The Algarve brand successfully projects an aspirational image based on landscape and leisure but would benefit from greater content diversification, enhanced stakeholder integration, and expanded narrative strategies to strengthen digital engagement and destination competitiveness. Full article