Simulations and games bring the possibility to research complex processes of managerial decision-making. However, this modern field requires adequate methodological procedures. Many authors recommend the use of a combination of concurrent think-aloud (CTA) or retrospective think-aloud (RTA) with eye-tracking to investigate cognitive processes such as decision-making. Nevertheless, previous studies have little or no consideration of the possible differential impact of both think-aloud methods on data provided by eye-tracking. Therefore, the main aim of this study is to compare and assess if and how these methods differ in terms of their impact on eye-tracking. The experiment was conducted for this purpose. Participants were 14 managers who played a specific simulation game with CTA use and 17 managers who played the same game with RTA use. The results empirically prove that CTA significantly distorts data provided by eye-tracking, whereas data gathered when RTA is used, provide independent pieces of evidence about the participants’ behavior. These findings suggest that RTA is more suitable for combined use with eye-tracking for the purpose of the research of decision-making in the game environment.

This article addresses the pressing issue of attracting Generation Z to the agriculture sector in the Czech Republic, a vital issue given its crucial role in ensuring food security and sustainability. During demographic changes and declining interest from younger generations to work in agriculture, it is essential to understand and meet the specific needs of this generation. This article examines the alignment between advertised employee benefits and the preferences of Generation Z, offers a new employee benefits categorization, and highlights possible interventions to increase the attractiveness of the agricultural sector in the labor market. Based on a literature review, quantitative content analysis of job advertisements, and a questionnaire survey, the research aims to evaluate the current offers of employee benefits in the agricultural sector in the Czech Republic in terms of their attractiveness and how they are perceived by Generation Z before then categorizing these employee benefits. The results show that benefits from the “Holiday and times off” category have the highest value for Generation Z and that, on the contrary, they value benefits from the “Benefits for work–life balance” category the least. A total of seven categories of employee benefits have been newly identified.

The Green Deal and its implementation are generating discussions across society. Changes brought about by the agreement could impact sustainable development worldwide; therefore, identifying the most common Green Deal-related topics on a global scale can offer insight into the public mood around implementation of the agreement. Social networks provide the opportunity to find such topics because they contain a large amount of data produced by users worldwide: analysis of their content can therefore provide insight into the discourse on the Green Deal and identify the sentiment in discussions around this topic. In this article, we present perceptions of the Green Deal and identify the main Green Deal-related topics based on analysis of communication on the Twitter social network (currently X social network). Using the search terms “green deal,” “greendeal,” and “#greendeal,” 192,567 tweets from 89,328 unique users were captured between 1 January 2019 and 31 March 2023. We identified the 40 most used unique hashtags that people used when communicating about the Green Deal, which included “#EU,” “#eugreendeal,” and “#climatechange,” and the 16 most relevant topics discussed in relation to the Green Deal, which included both European (“European Green Deal”) and North American (“Green New Deal”) perspectives. Each topic was associated with a certain amount of negative, positive, or neutral sentiment: the most positive sentiment was associated with the “Industrial plan” and “Hydrogen” topics, and the most negative sentiment was associated with topics relating to “Joe Biden” and “Alexandria Ocasio-Cortez.” Overall, our analysis of the discourse regarding the Green Deal offers organizations and decision-makers insight into how people perceive different aspects of the Green Deal and related topics. This may be beneficial in tackling disinformation across social networks and increasing public awareness, which could create a society better equipped to face the global concern of climate change.

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 study explores the convergence of user experience (UX) and machine learning, particularly employing computer vision techniques to preprocess…

Questionnaire surveys measuring job satisfaction at the workplace are relatively very popular and widely used methods in most organizations. Experienced methods that are still used for the current working generations may not be so effective for the upcoming Generation Z. This generation is impatient, distracted, easily lose focus and patience, and dependent on digital technologies. The main goal of the article is therefore to identify the possibility of shortening the Work Design Questionnaire (WDQ), based on the use of subareas of self-determination theory (SDT) for the needs of generation Z. Furthermore, a comparison of whether filling in both versions of the questionnaire (standard and shortened according to the SDT) will have the same indicative value. The research is based on a quantitative questionnaire survey (n=395) and a statistical evaluation of the data. The quality of the questionnaires was verified by Cronbach's α and Confirmatory factor analysis. Both versions of the questionnaires were then compared at the level of sub-parts (autonomy, competence, relatedness) by comparing the average values of the recorded answers by Wilcoxon rank. The results indicate that the WDQ can be shortened in the areas of autonomy and competence, while in area relatedness this possibility has not been proven.