Search Results (486)

This study uses the Contingent Valuation Method (CVM), a quantitative approach, with interval regression and Ordinary Least Squares (OLS) models to assess the non-use values of the Zhongjieshan and Liuheng Marine Ranches. The aim of the study is to quantify the monetary value of non-market benefits, examine socioeconomic influences on stakeholders’ Willingness to Pay (WTP), and provide a basis for ecological compensation mechanisms. Zhongjieshan’s annual non-use value is estimated at 28.99–30.81 million CNY (Chinese Yuan) (median WTP 74.33–78.99 CNY per person), while Liuheng’s value is higher at 108–111 million CNY (median WTP 150.20–153.89 CNY per person), suggesting greater ecological and recreational potential at Liuheng. The results show robust model performance, with minimal WTP differences. WTP for Liuheng is primarily influenced by income and environmental awareness, while Zhongjieshan shows a distance-decay effect. Visitor profiles reveal that Zhongjieshan attracts younger, moderately educated visitors, while Liuheng draws more highly educated, economically diverse groups. These findings suggest that Zhongjieshan should prioritize community-based co-management, while Liuheng should focus on high-quality, technology-driven ecological leisure development. The study also emphasizes the need for targeted awareness campaigns and supports the creation of diversified ecological compensation mechanisms beyond government funding. Full article

Dark tourism communication in Eastern Europe remains insufficiently examined, despite the region’s complex post-authoritarian memory landscape and the growing use of storytelling in tourism marketing. This study aims to clarify how Romanian dark tourism campaigns construct meaning through narrative structures and affective framing. Using a qualitative multi-method design, the analysis integrates ten promotional campaigns and six semi-structured interviews with professionals from tourism, memorial institutions, and cultural organizations. Results reveal four recurrent narrative–affective clusters, sacral-memorial, historical-didactic, spectral-sensational, and hybrid commercial, each shaped by trauma referentiality, emotional framing, and specific calls-to-action. These configurations map consistently onto Stone’s thanatological spectrum and highlight how practitioners negotiate authenticity and ethical boundaries. The study contributes a transferable narrative–affective model for dark tourism communication and underscores the need for transparency, contextual sensitivity, and responsible storytelling in the marketing of trauma-related heritage. Full article

This paper explores racialization as a historical-sociological concept and an ongoing, contemporary material praxis, using a Global Critical Race and Racism (GCRR) framework. Racialization is an ideological and material practice of colonial conquest that requires constant reification and maintenance. This paper examines how racialization and racial practices are positioned within Egyptian state tourism campaigns, through a media content and discourse analysis, as a function of contemporary national-racial identity formation. Histories of colonial archaeology, race science, and the European colonial domination and imagination of Egypt heavily contextualize this analysis. First, the paper outlines how the identity of ancient Egyptians was a racing project fundamental to white supremacy and global race and racism in the eighteenth and nineteenth centuries in ways that are intricately tied to contemporary nationalism, national identity formation, and nation-building in modern Egypt. The focus of this paper is Egypt’s agency in its national identity formation practices, wherein it acknowledges, negotiates, and markets aspects of its racialization that are economically and geopolitically advantageous, specifically within the tourism industry and in relation to Pharaonic Egypt. In this way, Egypt’s racialization is not simply externally imposed; the Egyptian state is engaging with global structures of race and racism by maintaining racial mythologies for Western imaginaries. Egypt’s contemporary national identity formation includes an engagement with its past that negotiates its position within a global hierarchy of nations across the racial-modern world system. This study explores notions of autonomy, acquiescence, and resistance under racialization by examining how nation-states engage with, resist, or leverage racialization. Full article

Background: The use of electronic cigarettes (ECs) has become a significant public health problem, especially among young people. EC use has been associated with increased nicotine exposure and other toxic substances, increasing the risk of early addiction and health problems. Recently, attention has focused on understanding the interplay between psychosocial stressors, exposure to violence, psychological distress, and an increased propensity to experiment with nicotine. Hence, the aim of this study was to estimate the prevalence of EC use in the previous month and its associated factors. Methods: This is a cross-sectional study based on secondary data analysis of a nationwide survey conducted to monitor risk and protective factors for the health of school-aged adolescents (52.89% males; 55.97% aged up to 15 years old). Specifically, we analyzed data from adolescents aged 13–17 years who answered questions on EC use (n = 36,659). Results: The results show that the prevalence of EC use in this sample was 11.23% (IC95%: 11.23, 11.87). Logistic regression revealed several factors that increased the likelihood of EC use, such as alcohol use by friends, alcohol use in the past month, gender (male), intentional binge drinking, higher mental health symptoms, living in urban areas, experience of abuse at home, report of other drug use, and smoking friends, with the latter exerting a higher influence. Conclusion: Findings show the interplay of peers, family and environmental influences on youth risk behavior. Prevention strategies should therefore include school- and family-based interventions, trauma-informed approaches and anti-marketing campaigns to dispel misconceptions regarding EC. Full article

Domestic cats are valued companions for many people, but when they free-roam, they can pose risks to biodiversity, communities, and their own welfare. Increasing cat containment has become a priority in Australia, yet shifting owner practices requires overcoming behavioural and structural barriers. The Keeping Cats Safe at Home (KCSAH) project was a four-year, AUD 2.5 million initiative delivered by the Royal Society for the Prevention of Cruelty to Animals New South Wales (RSPCA NSW) from 2021 to 2024, trialling human behaviour change strategies to reduce the impacts of roaming cats in 11 NSW local government areas. Grounded in social science research, the project combined social marketing campaigns, educational resources, school programmes, and community events with subsidised desexing. The project achieved substantial reach, engaging more than 3.5 million people via social media, 42,000 through blogs, 87,000 via the website, and 36,000 through community events. Over 2700 cats were desexed and 1700 microchipped. Ecological monitoring showed reductions in free-roaming cat densities in three council areas, with many also recording declines in nuisance complaints and impoundments. Caregivers exposed to campaign messaging reported greater capability, opportunity, and motivation to contain cats; however, methodological constraints limited the ability to assess actual behaviour change. KCSAH demonstrates the opportunities and challenges of large-scale cat management, highlighting the importance of tailored interventions, veterinary desexing capacity, and nationally consistent monitoring frameworks. Full article

As global attention on environmental sustainability grows, the fashion industry is shifting towards circular models, with the second-hand clothing market emerging as a key pathway to sustainable development. In China, this market is rapidly evolving, with millennials and Generation Z showing strong interest in environmentally friendly and personalized fashion. This study investigates Chinese consumers’ motivations and barriers to purchasing second-hand clothing and examines the diversity of China’s sustainable fashion ecosystem. Using a mixed-methods approach of semi-structured interviews and surveys, the findings reveal that environmental awareness, economic affordability, and social influence drive purchase intentions, while hygiene concerns, societal perceptions, and trust in platforms act as barriers. The study also compares the roles of online platforms, offline vintage stores, and upcycling fashion brands, highlighting their complementarity across economic, cultural, and social dimensions. Online platforms offer efficiency and convenience, vintage stores build brand loyalty through cultural narratives, and upcycling brands merge creativity with sustainability. It also reflects on the cultural context shaping second-hand fashion adoption in China. The study suggests enhancing trust in platforms, promoting education, and leveraging social media campaigns to support future market development. Full article

Online paid advertising is a dynamic form of online marketing that requires precision and a quick response to market changes. Automated tools are used to greatly simplify the process of creating and managing Pay-Per-Click (PPC) campaigns. The purpose of this research is to evaluate the impact of implementing an automated PPC management tool (Dotidot) on campaign performance in a travel agency compared with standard Google Ads campaigns. A structured multi-criteria procedure is first applied to select the most suitable tool for the Czech and Slovak markets. The core contribution of the paper is the observational case study of Dotidot and its performance comparison. The subject of the research is a comparative analysis of three PPC automated tools: Conviu, Dotidot, and BlueWinston. The significance of this topic lies in highlighting the relatively new possibilities of digital marketing and choosing the right tool for using automation. This research can also stimulate other researchers in this field and expand knowledge. The analysis is carried out using the method of systematic comparison based on established criteria, the result of which is a recommendation of the preferred tool and a brief discussion of its implementation options. The analyzed tools are used mainly on the Czech and Slovak markets and are oriented towards e-commerce (electronic commerce). In addition to e-commerce, a case study of the use of digital promotion in sports organizations is also presented. The research results in a systematic comparison of Conviu, Dotidot, and BlueWinston tools according to predefined criteria. The research also includes a brief discussion on the possibilities of implementing the recommended tool in practice, as well as an assessment of its benefits and limitations. Full article

Urban densification in post-socialist cities has drastically reduced open and green spaces in high-rise housing areas (HRHAs), intensifying heat stress and degrading outdoor thermal comfort (OTC). These neighborhoods—shaped by socialist-era planning and, later, market-led infill—combine high built density, low greenery, and limited ventilation, making them critical testbeds for climate-adaptive regeneration. This study presents the first empirically validated ENVI-met assessment of blue–green infrastructure (BGI) performance in a post-socialist HRHA, using a representative courtyard in Niš, Serbia, during the 14 August 2024 heatwave. A 24 h field campaign (air temperature, humidity, wind speed, and mean radiant temperature) validated the model with high accuracy (R² = 0.92, RMSE = 1.1 °C for air temperature; R² = 0.88, RMSE = 3.5 K for Physiological Equivalent Temperature (PET). Four retrofit scenarios were simulated: S0 (existing), S1 (grass), S2 (grass + trees), and S3 (S2 + shallow pool). Across all scenarios, daytime PET indicated strong–extreme heat stress, peaking at 61.9 °C (16:00 h). The best configuration (S3) reduced PET by 2.68 °C (10:00 h) but <1 °C at peak hours, with acceptable comfort limited to 04:00–07:00 h. The results confirm that small-scale surface-level greening provides negligible thermal relief under a dense HRHA morphology. Urban morphological reform—optimizing height, spacing, ventilation, and integrated greening—is more effective for heat mitigation. Future work should include multi-seasonal field monitoring and human thermal-perception surveys to link microclimate improvement with exposure and health risk. Full article

In the era of rapidly evolving Internet technologies, influencer marketing has emerged as a transformative force in digital tourism, reshaping how travelers discover, evaluate, and choose destinations and accommodations. This study investigates the relationships between key dimensions of influencer marketing (credibility, authenticity, content format, perceived effectiveness, campaign frequency, and geographic proximity) and consumer behavior in tourism, with particular emphasis on trust formation and decision-making regarding accommodations and destinations among Slovak Generation Z (born 1997–2012) travelers. A structured electronic questionnaire was administered in December 2024 to assess respondents’ perceptions of influencer marketing in the context of travel-related choices. The instrument comprised 12 items measured on a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree), capturing various aspects of influencers’ impact on accommodations and destinations. The final sample included 337 Generation Z participants (65% women and 35% men) aged 18–27 years. Data were analyzed using Spearman’s rank correlation to test six hypotheses concerning the influence of influencer marketing on tourism decision-making. The results supported all six hypotheses, revealing significant positive relationships between the examined dimensions of influencer marketing and consumer behavioral outcomes. These findings emphasize the expanding role of influencer marketing as a central mechanism in digital tourism strategies and highlight its importance in understanding how Internet technologies shape the purchasing behavior of Slovak Generation Z travelers. Full article

Neuraminidase (NA) decorates the surface of the influenza virus, exerting a sialidase activity that enables the viral particle to be released in the host cell. Numerous sialic-based antiviral agents competitively bind to the NA cavity and are marketed worldwide for the treatment of Influenza A infection. We designed and validated a structure-based pharmacophore model for influenza neuraminidase (NA), which guided a virtual screening campaign against an in-house library of compounds already available for testing. This fast and cost-effective in silico strategy resulted in the identification of seven candidates possessing indole or isoquinoline chemical core. In vitro assays confirmed their favorable cytotoxicity profiles and identified only one, the 1-(1H-indol-3-ylcarbonyl)-3-piperidinecarboxylic acid (1), with reproducible inhibitory activity toward NA at non-cytotoxic concentrations. This work suggested a validated workflow for the discovery of novel NA inhibitors and highlighted an indole-based hit compound as a starting point for further optimization. Full article

Short-form video platforms such as TikTok, Instagram Reels, and YouTube Shorts have become influential social commerce and interactive marketing tools, shaping consumer attitudes and behaviors beyond the digital environment. This study examines how short-form video content affects consumers’ intention to visit destination retail stores by integrating the Theory of Planned Behavior (TPB) with the constructs of perceived usefulness, curiosity, and envy. Data from 423 Gen Z and Millennial consumers were collected through an online survey and analyzed using structural equation modeling. The findings indicate that perceived usefulness, curiosity, and envy significantly influence attitudes toward short-form video content, which subsequently drive intentions to visit destination retailers. Social influence also emerged as a stronger predictor of behavioral intention than practical barriers such as cost or accessibility, underscoring the importance of peer validation in motivating digital-to-physical consumer behavior. This study advances electronic commerce research by extending TPB to short-form video marketing and identifying key emotional and cognitive triggers that facilitate consumer engagement. Practically, the results highlight strategies for retailers to develop video campaigns that spark curiosity, evoke aspirational emotions, and leverage social endorsement. More broadly, the study demonstrates how short-form video platforms operate as interactive ecosystems that merge emotional engagement, social validation, and technological affordances to shape hybrid consumer journeys from digital exposure to in-store action. Full article

With the rapid advancement of social media and AI technologies, influencer marketing has evolved significantly. Virtual influencers have emerged as alternatives to traditional human influencers. Grounded in the Elaboration Likelihood Model (ELM), this study examines how virtual influencers’ source credibility dimensions (expertise, attractiveness, and trustworthiness) affect consumer attitudes and purchase intentions. Using the case of virtual influencer Imma, this study collected 344 valid online survey responses. The empirical results show that, along the central route, perceived product value has a significant and positive effect on purchase intention. Along the peripheral route, the trustworthiness, attractiveness, and expertise of the virtual influencer all exert significant positive effects on purchase intention. However, product involvement moderates these effects differently: for high-involvement consumers, the effects of trustworthiness and attractiveness on purchase intention are significantly strengthened, while the moderating effects on expertise and perceived value remain non-significant. This study contributes to the emerging literature on virtual influencer marketing by demonstrating how source credibility dimensions and perceived value interact with product involvement to shape consumer responses. Additionally, virtual influencers offer sustainability benefits by minimizing carbon emissions from travel and physical production inherent in traditional influencer campaigns. The findings offer practical implications for marketers: virtual influencers can effectively enhance brand exposure, but their persuasive impact varies by product involvement requiring tailored content strategies for high- versus low-involvement products. Furthermore, future research could extend this work by examining the effects of different product categories and cultural contexts on the effectiveness of virtual influencer marketing. Full article

Urban air pollution and emission reduction commitments have stimulated interest in cleaner vehicle technologies in Latin America, yet hybrid vehicle penetration in Ecuador, particularly in Guayaquil, remains limited. This study analyzes technical and commercial determinants of purchase intention using a mixed-methods design that combines a survey of 384 consumers with interviews of 20 dealership representatives. Within this male-dominated sample, Spearman’s rank correlation coefficients ($\rho$) (all two-sided tests yielded $p<0.001$) indicate that technical attributes show stronger associations with purchase intention than commercial variables: technology and performance ($\rho =0.65$) and maintenance ($\rho =0.61$) are the most influential, followed by Social Influence ($\rho =0.53$); public policies ($\rho =0.48$) and purchase price ($\rho =0.45$) display moderate effects. Overall, 51.5% of respondents report a favorable intention to purchase a hybrid vehicle in the short to medium term. Interviews confirm an information gap on tax incentives at the point of sale and underscore the potential of financing schemes to mitigate upfront cost barriers. Findings suggest that, in this market, narratives emphasizing long-term operating savings and reliability are more persuasive than generic sustainability messages. We discuss implications for dealership communication, targeted credit programs, and public policy instruments with information campaigns to accelerate sustainable mobility transitions in urban Ecuador. While price is widely cited as decisive (84.2%), variation in technical attributes explains more of the variation in stated purchase intention than price within our sample. The survey sample was collected at an auto show and dealerships and is predominantly male (87.5%). Thus, results describe a male-skewed subset of potential buyers and should not be generalized to households or the broader consumer base. Full article

In today’s rapidly evolving digital landscape, businesses are constantly under pressure to produce high-quality, engaging content for various marketing channels, including blog posts, social media updates, and email campaigns. However, the traditional manual content generation process is often time-consuming, resource-intensive, and inconsistent in maintaining the desired messaging and tone. As a result, the content production process can become a bottleneck, delay marketing campaigns, and reduce organizational agility. Furthermore, manual content generation introduces the risk of inconsistencies in tone, style, and messaging across different platforms and pieces of content. These inconsistencies can confuse the audience and dilute the message. We propose a hybrid approach for content generation based on the integration of Markov Chains with Semantic Technology (CGMCST). Based on the probabilistic nature of Markov chains, this approach allows an automated system to predict sequences of words and phrases, thereby generating coherent and contextually accurate content. Moreover, the application of semantic technology ensures that the generated content is semantically rich and maintains a consistent tone and style. Consistency across all marketing materials strengthens the message and enhances audience engagement. Automated content generation can scale effortlessly to meet increasing demands. The algorithm obtained an entropy of 9.6896 for the stationary distribution, indicating that the model can accurately predict the next word in sequences and generate coherent, contextually appropriate content that supports the efficacy of this novel CGMCST approach. The simulation was executed for a fixed time of 10,000 cycles, considering the weights based on the top three topics. These weights are determined both by the global document index and by term. The stationary distribution of the Markov chain for the top keywords, by stationary probability, includes a stationary distribution of “people” with a 0.004398 stationary distribution. Full article

This study examined the complex interplay of demographic characteristics, behavioral patterns, and technological factors that contribute to digital fraud victimization within the context of a developing economy, focusing specifically on Thailand. Utilizing data collected from 1200 respondents and applying binary logistic regression analysis, the research identified key predictors of fraud exposure, including age, income, student status, use of portable devices, and social media engagement. A paradoxical finding emerged: stronger perceived digital security was associated with higher fraud risk, indicating that overconfidence in platform safeguards may unintentionally increase vulnerability. Interestingly, users’ perceptions of digital security—such as confidence in identity verification and password protocols—were positively associated with fraud victimization, indicating potential cognitive biases and overconfidence in digital environments. The findings revealed a high prevalence of fraud experiences among participants, highlighting the gap between perceived and actual digital safety. These results emphasized the urgent need for user-centered fraud prevention measures, enhanced digital literacy, and targeted public awareness campaigns. The study contributes to the broader understanding of cybersecurity challenges in emerging markets and offers policy-relevant insights for strengthening digital financial resilience. Full article