Lucie Kvasničková Stanislavská

Impostor phenomenon reflects persistent self-doubt and fear of failure despite success. This study examined the association of impostor phenomenon with self-compassion in 601 Czech university students (368 women; M _age = 23.46, SD = 3.05), using the Impostor-Profile 30 and Self-Compassion Scale. Employing correlation analysis, regression, and structural equation modelling, we investigated the relationships among the constructs and their dimensions. In the correlation analysis, competence doubt was moderately associated with isolation ( r = .409) and overidentification ( r = .427). The regression analysis indicated these subscales as being significantly associated with competence doubt (R² = .26, F(6, 594) = 35.18, p < .001). Structural equation modelling further supported the model with stronger links between negative self-compassion dimensions and impostor phenomenon compared with positive ones (e.g., self-kindness) (CFI = .99, TLI = .99, RMSEA = .031). These findings highlight the importance of considering feelings of isolation and overidentification when designing or interpreting self-compassion-focused approaches in the context of impostor phenomenon, particularly among university student populations vulnerable to stress and low self-efficacy.

Greenwashing—defined as the strategic misrepresentation of corporate environmental practices—has emerged as a focal point of critical discussion on social media platforms. In this study, discourse related to greenwashing on Twitter was analyzed to uncover key thematic structures, sentiment dynamics, and polarization patterns. A total of 308,075 tweets authored by 148,881 unique users between 1 January 2015 and 31 January 2023 were collected and subjected to topic modelling and sentiment analysis. Ten primary themes were identified: (1) Sustainability and Marketing, (2) Climate Change and Fossil Fuels, (3) International Summits and Activism, (4) The Green Deal, (5) Environmental, Social, and Governance (ESG) Investments, (6) Plastic Waste, (7) Fast Fashion, (8) The Automotive Industry, (9) Deforestation, and (10) Food and Agriculture. Sentiment analysis, conducted using the Valence Aware Dictionary and Sentiment Reasoner (VADER), revealed a predominantly critical tone across the dataset. Negative sentiment was detected in 35.54% of tweets, while only 12.86% conveyed a positive stance; the remaining 51.6% were classified as neutral. These findings underscore the pervasive skepticism towards corporate environmental claims and highlight the perceived dissonance between green marketing narratives and actual corporate behavior. Furthermore, the study illustrates how public sentiment clusters around specific themes, suggesting issue-based polarization in perceptions of environmental credibility. By integrating topic modelling with sentiment polarity analysis, this research offers an empirical framework for evaluating public discourse surrounding greenwashing. The insights derived may inform both corporate sustainability communication strategies and policy interventions aimed at fostering transparency and accountability. Overall, the evidence points to an urgent need for more authentic, verifiable, and ethically aligned environmental messaging to restore public trust in sustainability initiatives.

This paper presents a novel approach to strategic budget allocation in online marketing campaigns using robust optimization techniques. We develop a linear programming model that specifically addresses uncertainties in conversion cost coefficients, a critical challenge in digital marketing performance measurement. The model's distinctive feature lies in its combination of robust optimization with fuzzy linguistic scales, which enables marketing professionals to express uncertainty levels in their expert estimations qualitatively. Using real campaign data obtained from advertising platform management tools, we demonstrate how the proposed robust counterpart transforms traditional deterministic optimization into a more resilient decision-making framework. Our comparative analysis between deterministic and robust approaches reveals that while the robust solution may sacrifice nominal optimality, it provides protection against cost coefficient fluctuations typically encountered in online marketing. The key contribution is a practical decision support tool that allows marketers to systematically incorporate their risk preferences and uncertainty expectations into budget allocation decisions. Case study demonstrates the model's ability to optimize performance while managing risks in digital advertising markets with volatile conversion costs.

Zero waste (ZW), the concept of reducing waste production, is now becoming a lifestyle trend. Social media is strengthening this by popularizing the movement and connecting related communities. ZW and food are closely related, since food waste is a significant sustainability issue; however, the exact relationship between ZW and food communication on social networks is not clear. This study analyzed user communication on the social networking site Twitter between July 2008 and April 2023 to determine how members communicated and shared topics related to ZW and food; an analysis of hashtag frequency was also conducted. During the study period, a total of 50,650 tweets with both #zerowaste and #food hashtags were recorded, written by 21,271 unique users from all over the world. Topic analysis identified the nine related topics: ZW lifestyle, leftover recipes, ZW events, food rescue, climate change, packaging, ZW stores, composting, and ZW restaurants; visual analysis indicated that these topics were closely connected, suggesting common membership of these communities. Overall, our results provide insight into the ZW and food communities on Twitter, which may be useful for marketers, influencers, and government agencies to create targeted content and facilitate wider adoption of a ZW lifestyle.

Growing research and technological development is making the commercial production of cultured meat as a sustainable alternative to livestock-derived meat an increasing reality. However, to competitively position cultured meat on the food market, appropriate marketing and communication tailored to specific demographics is required. We aimed to define the motives that influence the willingness to include cultured meat in consumption based on age, specifically in Generation Z and Generation Y. To achieve this, data from a questionnaire survey that asked about ethical, ecological and health and safety factors around cultured meat was collected from 740 respondents (301 Generation Z and 439 Generation Y) and analyzed using the Mann–Whitney test and structural equation modeling. Generation Z were significantly more likely than Generation Y (p < 0.05) to consider cultured meat healthier than conventional meat because of the possibility of adjusting the composition and nutrient content. Generation Z were also significantly less concerned than Generation Y (p < 0.05) about the consequences that consuming cultured meat might have on human health. In Generation Z, ethical, ecological and health and safety factors significantly influenced their willingness to consume cultured meat (all p < 0.01). In conclusion, we confirmed the influence of ecological and ethical awareness, as well as health and safety, on willingness to include cultured meat in consumption; these areas could be targeted when marketing cultured meat.