Internal Lunch Seminars

The fourth industrial revolution has significantly increased the adoption of Digital Twins (DTs) across various sectors, including intelligent manufacturing, automation, logistics, and medical analysis. Despite substantial progress in deploying DT projects, numerous challenges remain, such as managing distributed data flows, protecting commercial confidentiality, securing intellectual property, and ensuring privacy and security. This research introduces a novel approach to addressing these challenges by leveraging blockchain and Web3 technologies, including non-fungible tokens (NFTs) and Distributed Autonomous Organizations (DAOs). The study aims to develop a distributed, tamper-proof DT cooperation platform that facilitates traceable and trustworthy data sharing while preserving intellectual property rights and enabling decentralized governance. This platform enhances idea and invention ownership, promotes collective decision-making through consensus protocols, and explores innovative solutions like blockchain-based federated learning and efficient DT project fundraising tools. Relying on security models and analysis tools, this study addresses several important security analysis methods that are known as practical analysis methods. They can strongly prove every claimed security feature of DT projects. The proposed solutions set the stage for future academic and industrial advancements, supported by a comprehensive SWOT (Strongness - Weakness - Opportunity - Threat) analysis, and outline potential future research directions.

The integration of robotic services in the hospitality industry has gained significant attention, particularly in the context of safety and hygiene, which have become paramount concerns for tourists in the wake of global health crises. This study investigates the factors influencing tourists' intentions to use hotel service robots, with a focus on perceived safety, health awareness, and service assurance. Drawing on the Theory of Planned Behavior (TPB), the research examines how these factors shape personal engagement and, ultimately, the intention to adopt robotic services in hospitality settings.

Using a purposive sampling technique, data were collected from 275 participants with prior experience in robotic services via the Prolific platform. Structural equation modeling (SEM) was employed to analyze the data, revealing that perceived robotic safety and service assurance significantly positively impact personal engagement. Specifically, guests who perceive robots as safe and reliable are more likely to engage with them, leading to a higher intention to use robotic services. However, health awareness did not show a significant effect on personal engagement, suggesting that while safety and reliability are critical, health-related information may not be a primary driver of engagement with robotic services.

The findings also highlight the mediating role of personal engagement in the relationship between perceived safety, service assurance, and the intention to use robotic services. This underscores the importance of fostering trust and confidence in robotic systems through consistent performance and effective communication of safety features. Notably, female guests exhibited a higher preference for robotic services, indicating potential gender differences in the acceptance of technology in hospitality settings.

This study offers several implications for hoteliers. First, enhancing perceived robotic safety is crucial for increasing guest acceptance. Hoteliers should prioritize clear communication of the security features and capabilities of robots, ensuring guests feel safe and secure during their interactions. Second, investing in high levels of service assurance—such as reliability, responsiveness, and consistent performance—can foster trust and confidence in robotic systems. Regular maintenance, software updates, and staff training are essential to maintaining these standards. Third, hoteliers should implement strategies to enhance personal engagement with robotic services, such as providing interactive features, personalized assistance, and opportunities for guests to learn about and interact with robots. Training staff to effectively assist guests in using these systems can further enhance guest satisfaction and confidence.

This study contributes to the growing body of literature on human-robot interaction by emphasizing the role of perceived safety and service assurance in shaping user attitudes and behaviors. It also offers practical implications for hoteliers, suggesting that investments in reliable and safe robotic systems, coupled with strategies to enhance guest interaction, can significantly improve the adoption of robotic services. Future research should explore these dynamics in diverse cultural contexts and examine the long-term effects of robotic service integration on customer satisfaction and loyalty.

This paper examines the impact of participatory budgeting (PB) on voter turnout in local, regional, and parliamentary elections in the Czech Republic. Using panel data from over 6,200 municipalities between 2009-2022, we employ ordinary least squares regression with fixed effects and an array of control variables to analyze the relationship between PB initiatives and electoral participation. Our findings reveal that PB has a significant and positive effect on voter turnout in local and regional elections, but we found no effect in parliamentary elections. Specifically, PB implementation is associated with a 2.7-3.9 percentage point increase in local election turnout and a 1.5-2.6 percentage point increase in regional election turnout when conducted within two years prior to elections. These effects are most pronounced when PB occurs one year before elections, the effect size and significance decrease with a longer time interval from the election. Our robustness check, which is based on synthetic control method confirms the direction of these effects, albeit with smaller magnitudes and lower significance. The lack of impact on parliamentary elections suggests that PB's influence is primarily localized, while local elections turnout may be fostered by the implementation of PB initiatives to enhance voter participation in local and regional democratic processes.

Cryptocurrencies have experienced a tremendous growth in recent years, both in terms of market capitalization and number of existing digital assets. However, the extreme volatility and peculiar market behavior that characterize this asset class represent an obstacle for their adoption among mainstream investment instruments. In this study, we present a simple and effective way to optimize a portfolio of cryptocurrencies based on two conditioning variables whose value can predict the magnitude of price movements in the short-term. We show empirically that our strategy consistently delivers higher risk-adjusted returns and a more desirable wealth dynamics compared both to standard optimal portfolios and to a naive 1/N allocation.

Middle managers (MMs) implement intended strategy in both adaptive and obstructive outcomes, but prior studies have not fully examined why that happens. This paper investigates how agency and stewardship theories explain MM unintended strategy implementation, including adapted and obstructed strategy. We examined 92 unintended strategy implementations using data from interviews with 40 middle managers in 30 multinational companies. We find three explanations related to stewardship theory (lack of understanding, lack of slack, and autonomy from situational change) as well as four agency theory explanations (lack of agreement, lack of accountability, lack of incentive, and autonomy from temporary lack of top manager oversight). For practice, top managers should be aware of the many ways in which they may fall short in setting an appropriate context for MMs to implement intended strategy.

During the seminar I will share my experiences with writing the ERC proposal, describe the process and share insights into how to best plan, manage and execute the preparation process. The main focus of the presentation will be the core assumptions of the CONSPICIOUS project and discussion of alternative and available sources of funding for the research planned. The rise of the conspicious mindset at the centre stage of policy concerns has led to two major streams of research. First, research on conspiracy beliefs (CBs) has highlighted psychological risk factors and documented the extent of CBs negative behavioural consequences - e.g., fuelling violent extremism, vaccine hesitancy, support for autocrats and illiberal political parties. Second, the growing awareness of societal harms stemming from CBs has also generated a prolific research program focused on misinformation and mostly online and cognitive interventions to curb its prevalence. Contrary to research efforts to date, the current CONSPICIOUS project stems from the understanding of CBs as intergroup attitudes and hypotheses that anti-CBs interventions that focus on improving intergroup attitudes may prove more effective than the former cognitive approach. The overarching aim of CONSPICIOUS is thus to shift scholarly focus towards dealing with CBs directly as intergroup attitudes through fulfilling four specific objectives: (i) identify interventions aimed at improving intergroup attitudes and adapt them to CBs, (ii) test the effectiveness of these interventions in a large scale intervention tournament, (iii) explore generalizability of the most effective interventions in longitudinal trials across general population samples in ​​European and partner countries, and (iv) adapt the interventions to user-friendly, scalable, ready-to-deliver formats. CONSPICIOUS will rely on a large randomised controlled trial (megastudy, N≈10,000) and an international longitudinal study (N≈2,800 per country, first wave). By changing the research perspective, the current project offers an utterly new paradigm of scholarly approaches to curbing the CONSPICIOUS mindset

This study examines the mode choice preferences of long-distance travelers in Central Europe among carpooling, trains, and buses. Using three months of operational data from BlaBlaCar, a multilevel mixed-effects logistic regression model was applied to analyze mode choice behavior under 1-day and 10-day advance booking scenarios. The results indicate that travelers prefer buses for shorter trips, while trains are favored for longer journeys, with carpooling being the least frequent choice. Carpooling is most popular for spontaneous, long-distance travel, whereas advanced bookings are less likely to include this option. Additionally, district-level demographics significantly influence mode preferences. For instance, older travelers and pedestrians are more inclined to choose buses, while individuals without formal education exhibit a stronger preference for trains. Meanwhile, working students tend to use carpooling, particularly for planned trips. These findings highlight the potential of BlaBlaCar carpooling to complement existing public transport systems and support the development of sustainable, multimodal transportation networks.

The evaluation of the EU Cohesion policy’s effectiveness in the literature is usually macroeconomic in nature. As recent studies highlight the importance of conducting analyses also at the micro-level, this paper estimates the effect of EU Cohesion policy grants on firms’ performance in Slovakia. Our firm-level database is based on Slovak firms’ financial statements and business activities combined with a dataset of enterprises receiving EU funding from Cohesion policy grants. The difference-in-difference method is used to compare two groups of enterprises: those that obtained support from EU funds and a control group of non-participating entities. Our results show that the major differences for participating firms include a significant increase in debt ratio dynamics in the initial years, higher debt levels that are persistent over longer periods, a significant increase in total assets, and a decrease in profitability and rentability. The results are robust with respect to sample matching techniques and matched sample sizes.

The European Central Bank (ECB) is responsible for formulating and implementing monetary policy for countries using the euro. However, existing literature proposes that the monetary policy of the Eurozone has implications for non-Euro countries. In academic literature numerous studies concentrate on the spillover effects of the Euro Area monetary policies on inflation, GDP, exchange rates, and real estate prices, however, a research gap remains regarding the influence of the ECB´s monetary policy on the financial cycle of non-euro countries. Thus, using the local projection method the primary objective of the research is to address the gap in the existing literature and respond to the research question of how the monetary policy of the European Central Bank spills over to non-euro countries' financial cycles. Among other considerations, we seek to address whether an extended period of accommodating monetary policy in the eurozone could result in more pronounced spillover effects than a single easing action.

Increasing high-speed railway planning in Central and Eastern Europe and the lack of border effect estimations in this region encouraged a border effect study in this region. Using railway data collected in 2022, border effects in railway transport between six countries were estimated separately by basing on Czechia and Slovakia. Significant border effects were found between these countries and their neighbours. However, no significant border effect was found between Czechia and Slovakia. These findings support arguments about that countries with common language, culture and history have lower border effects.

Health inequality has a significant genetic component and socio-economic factors, including education, can moderate the effects of genes. However, little is known about whether more years of education can effectively moderate the relationship between genetic conditions and severe contemporary diseases and medical conditions. I use UK Biobank data to investigate the relationship between education, genetic endowment, and four health conditions: heart attack, cancer, stroke, and type-2 diabetes. To avoid the potential endogeneity of education, I focus on the long-term health consequences of a 1972 increase in the UK school-leaving age (ROSLA). As a measure of genetic endowment, I use an index of genetic predispositions for obesity. Genetic predispositions are typically summarised by a weighted average of individual genetic markers called polygenic scores (PGS), where weights are derived from analyses performed on different populations. Furthermore, the outcomes of these analyses often differ from the outcomes the PGS is used to predict. This may skew the results of follow up studies of other outcomes, including cancer. I introduce a two-step method that adjusts the available weights to new outcomes, and show that genetic predisposition for obesity increases the risks of the four diseases I study. The results based on my new method show that the additional year of schooling driven by the ROSLA reform diminished the importance of genetic predispositions for the risks of cancer and heart attack by 40%. The results offer new evidence on how environments moderate the inequalities in health that have been tilted from birth.

We exploit a historical experiment that occurred in Czechoslovakia after World War Two to study the drivers of social capital accumulation in an extremely unfavorable environment. Between 1945 and 1948, the Sudetenland became the scene of ethnic cleansing, with the expulsion of nearly three million German speakers and the simultaneous influx of nearly two million resettlers. Focusing on the areas where at least 90 % of the population was forced to leave, we show that the municipalities hosting a church built before 1945 developed significantly higher social capital under the communist rule, which persisted after the dissolution of Czechoslovakia and the current days.

We estimate the impact of temperatures on work related accident rates in Italy by using daily data on weather conditions matched to administrative daily data on work related accidents. The identification strategy of the causal effect relies on the plausible exogeneity of short-term daily temperature variations in a given spatial unit. We find that both high and cold temperatures impair occupational health by increasing workplace injury rates. The positive effect of warmer weather conditions on work related accident rates is larger for men, in manufacturing and service sectors, and for workplace injuries. Colder temperatures lead to a substantial increase in commuting accidents, especially during rainy days.

This paper examines how cognitive and non-cognitive abilities relate to economic preferences. Cognitive abilities are a comprehensive structure of abilities (attention, memory, intelligence, etc.) that are interconnected. From the existing literature, it follows that the level of cognitive abilities has an influence on the decision-making of individuals and can positively or negatively affect their incomes and future economic planning. However, the level of cognitive abilities is not enough to fully understand the individual and his decisions. For this reason, we will also focus on non-cognitive abilities in the research. These are most often characterized by personality traits that are commonly measured by the Big Five test. This test assesses the following personality traits – neuroticism, extraversion, openness, agreeableness, and conscientiousness. Personality traits are another factor that characterizes the overall individuality of a particular individual. However, it is currently unclear how non-cognitive abilities relate to economic preferences. In the presentation, we will introduce the study design and discuss how the relationship between cognitive abilities, personality traits and economic preferences will be investigated.

With its current skyrocketing prices, electricity costs became one of the most discussed issues over the past year as it is an essential input for any economic activity. Unlike private businesses or consumers, public institutions cannot purchase electricity freely but are bound by a procurement framework and rules on how electricity contracts need to be concluded.

In principle, a public institution can purchase electricity through public tenders or through commodities exchanges. The key question is how the lowest prices can be achieved and which of these procurement options – competition in public tenders or trades at the commodities exchanges – prompts the desired outcome. This contribution aims to investigate this empirically.

We collected unique data on public institutions’ energy contracts in Czechia between 2013 and 2021 from the Czech public registry of procurement deals. The data allows us to distinguish between contracts concluded through public tender or through commodities exchanges, identify the size of the contract and its final price.

Our results suggest that there is generally a higher degree of competition at the commodity exchanges in comparison to public tenders and that the prices at commodity exchanges are lower. Although many factors might result in lower prices, our analyses suggest that the competitiveness of the environment in public tenders and on the commodities exchanges is the main driving factor.

Our findings have important implications for how electricity – an essential production input – should be purchased by public institutions. The results point to possible saving for public institutions when purchasing energy on commodities exchange as compared to public tenders.

The research explores relationship between perceived wealth inequality and political attitudes. Based on relative deprivation theory, I assume, that information treatment showing actual level of wealth inequality may increase willingness to take part in different political activities and even lead to higher level of anti-system attitudes. The aim of the presentation is to introduce preliminary results based on collected data and discuss possibilities for further research. Crucial areas to assess are the form of information treatment, and possible narrowing of the target group (from representative sample of Czech population to its specific parts, for example people living in peripheral regions).

In recent years, the debate about central banking and climate change has gained significant momentum. It can be said that central bankers and regulators reached a consensus that climate change will affect central banking but there seems to be no consensus on what should central banks do in reaction. This paper analyses the current debate about the so-called green central banking. It classifies policies of European central banks and prudential regulators that were applied, discussed, or proposed as a reaction to the phenomenon of climate change. The paper is based on annual reports and other official statements of these institutions which are analyzed by textual analysis. The classification should clarify the debate in a broader socio-economic context and offer a common language for climate change-related policies of central banks.

I investigate how workers respond to learning that a manager trusts them less than she does their peers. In a laboratory experiment, responsibility for a manager’s earnings is divided unequally between two workers. I vary whether this responsibility allocation decision is made by the manager, or by a random device on the manager’s behalf. Importantly, being entrusted with more/less responsibility for the manager's payoff does not change the workers' wages. Despite this, I find that workers are less generous toward the manager when they are intentionally, as opposed to randomly, assigned a lower level of responsibility. This effect is mediated by the emotional response to learning that the manager chose to place her trust in the other worker. I find no positive effect of being entrusted with higher responsibility. My results demonstrate that managerial decisions that are materially irrelevant for workers can generate a negative reciprocal response if they reveal to the worker that she is less trusted relative to her peers.

This study examines the role of historically defined social identity in human capital development over time by focusing on a region from India where social identities are defined along the lines of castes and religious groups. It investigates the evolution of gaps across social groups in children’s cognitive outcomes and parental investment in children’s education from ages 5 to 15. Significant gaps in test scores and parental investment are found between children from lower and upper Hindu castes. These gaps, which originate early in childhood and persist throughout the 10 years of the study period, cannot be completely explained by the differences in socioeconomic status across social groups. Moreover, the perception of social discrimination is also found to be a significant contributor to the gaps in cognitive outcomes and parental investment across social groups. While parents’ perceived social discrimination is associated with lower parental investment throughout childhood, it is negatively associated with children’s cognitive outcomes only at later ages.