List of PhD Supervisors
This list of supervisors is just indicative. Thesis’ topics are not regularly published. Students usually have their own idea of a topic that is more or less regulated by agreement with the selected supervisor. According to the requirements, the topic chosen should be consulted with the potential supervisor prior to filing the application and, above all, it must be confirmed that the supervisor has free capacity and is willing to supervise the given student and chosen topic. If you already have a certain idea of the focus of your work and you do not know exactly who of the professors or associate professors who may supervise doctoral students on the Faculty of Management, it is recommended you consult this with the head of the relevant department:
- Department of Management (focus on public and business management, marketing, taxes, etc.) – head of the department Petra Kozakova, PhD (petra.kozakova@vse.cz)
- Department of Data Analytics (focus on informatics, statistics, mathematics, decision making theories, optimization methods and application of these subjects into management) – head of the department Lucie Vachova, PhD (lucie.vachova@vse.cz)
- Department of Social Sciences (focus on psychology, sociology, law, economics, respectively soft skills and their application in management) – head of the department Jiri Vopatek, PhD (jiri.vopatek@vse.cz)
List of Supervisors for Ph.D. Students
- Dr. Amitabh Anand
- doc. Ing. Vladislav Bína, Ph.D.
- doc. Ing. Jiří Dvořák, Ph.D.
- doc. Ing. Ondřej Dvouletý, Ph.D., MSc.
- Ing. Jiří Filip, Ph.D.
- doc. Ing. Tomáš Kincl, Ph.D.
- doc. RNDr. Lenka Komárková, Ph.D.
- Mgr. Ing. Pavel Král, Ph.D.
- Mgr. Ing. Martin Luštický, Ph.D.
- Ing. Michal Novák, Ph.D.
- Mehmet A. Orhan Ph.D.
- doc. Ing. Peter Pažitný, Ph.D., MSc
- doc. Ing. Pavel Syrovátka, Ph.D.
- doc. Ing. Jindřich Špička, Ph.D.
- doc. Ing. Petr Štumpf, Ph.D.
- Ing. Jiří Vomlel, Ph.D.
Dr. Amitabh Anand
Areas of research
- Leadership, Entrepreneurship, Emerging Economies, Human Resource Management, Organization studies, Organizational & Employee Behaviours, Technology Behaviour, Knowledge Management, Management Learning, Managerial Issue and Development, B2B Markets, Ethics and Sustainable Business.
Sample topics for dissertation theses
- Entrepreneurship and SMEs growth and survival during uncertainty, displacement, and geopolitical tensions
- Darkside of the Enterprises: Ethical conflicts, Misconduct, Fraud, Knowledge hiding and Deception
- Taboos in Workplace: Employee romance, sleeping at work, Adult entertainment products, etc.
- Organizational knowledge Management and Employee Behaviours
- Responsible Enterprises in the context of Spirituality, Ethics and Mindfulness
doc. Ing. Vladislav Bína, Ph.D.
Supervised Theses Topics
- The impact of generative artificial intelligence on the quality and speed of managerial decision-making
- Explainable AI as a determinant of managerial trust in algorithmic recommendations
- Individual and organizational factors influencing the adoption of large language models and AI in small and medium-sized enterprises
- The role of advanced data analytics and artificial intelligence in the field of ESG
doc. Ing. Jiří Dvořák, Ph.D.
Supervised Theses Topics
- Strategic Decision-Making under Uncertainty: Integrating Behavioral Biases and the Concept of Antifragility into Strategic Management
– How do cognitive biases (e.g., overconfidence, anchoring, loss aversion) shape managerial strategic decision-making
– How can the concept of antifragility be applied to strategic management in turbulent environments?
– Can strategic management be designed to benefit from uncertainty and chaos?
– Artificial Intelligence: a solution or an amplifier of the problem?
doc. Ing. Ondřej Dvouletý, Ph.D., MSc.
Supervised Theses Topics
- Heterogeneous effects of public entrepreneurship and SME policies
- Economic effects of non-financial support of entrepreneurship
- Economic sustainability of social enterprises and their drivers
- Heterogeneity of entrepreneurs and self-employed persons, their motivation and lifestyle
- Crowdfunding as a way how to finance a business start-up and its growth
Ing. Jiří Filip, Ph.D.
Research Areas
Measurement, Modeling, and Analysis of Human Perception of Materials, Application of Deep Learning Methods for Material Appearance Analysis
Sample topics for dissertation theses
- Benefits of Analyzing Visual and Tactile Properties of Materials for E-commerce
- Generative Modeling of Product Appearance in Any Environment
doc. Ing. Tomáš Kincl, Ph.D.
Supervised Theses Topics
- Artificial Intelligence in Green Marketing: Impacts on Customer Trust and Sustainable Purchase Intention
The topic examines how the incorporation of artificial intelligence (AI) into green marketing influences customer trust and the intention to purchase sustainable products. AI is fundamentally transforming how brands communicate sustainability – recent research suggests that AI-powered green marketing strategies can strengthen customer trust and satisfaction, which in turn boosts consumers’ “green” purchase intentions. The topic links digital innovation with the growing emphasis on sustainable consumption. The thesis will build on established marketing concepts of trust and perceived value, extending them to include the influence of AI. The proposed research model could investigate, for instance, trust as a mediator between AI-driven marketing elements and purchase intention, and examine factors such as consumer technological literacy or environmental awareness as potential moderators of AI’s effects in sustainability communications. - AI Transparency in Green Advertising: Impact on Message Effectiveness and Consumer Trust
This topic examines the paradox of using generative artificial intelligence (AI) to create “green” advertising (marketing that promotes environmentally friendly products and sustainable consumption) versus the need for transparency toward consumers. Generative AI enables companies to quickly and inexpensively produce advertising content promoting sustainability that can, at first glance, be just as convincing as traditionally created advertising.
doc. RNDr. Lenka Komárková, Ph.D.
Supervised Theses Topics
- The Importance of Person–Organization Value Congruence for Employee Work Outcomes
- The Impact of Sustainable Human Resource Management on Employee Work Engagement
- Positive and Negative Effects of Job Insecurity on Employee Work Behavior
Mgr. Ing. Pavel Král, Ph.D.
Supervised Theses Topics
- Strategies of organizational transparency and opacity.
- A process study of organizational transition toward pay transparency.
- Alternative outcomes and conditions of contingent (pay-for-performance) rewards.
- The influence of financial pressure on upper echelons
Mgr. Ing. Martin Luštický, Ph.D.
Supervised Theses Topics
- Managing Destination Stakeholder Collaboration Through the Application of Collaborative Governance Principles
- Adaptive Co-Management as a Tool for Enhancing Participatory Governance in Tourism Destinations
- Building Resilience in Tourism Destinations: Governance Strategies for Managing Uncertainty
- Destination Resilience as a Strategic Priority: A Multi-Stakeholder Perspective on Risk and Recovery
Ing. Michal Novák, Ph.D.
Supervised Theses Topics
- When We Say It’s from AI”: The Impact of Labeling AI-Origin Content on Trust, Persuasiveness, and Loyalty
The rise of generative AI raises questions about transparency in organizational communication. Labeling content as AI-created can influence how audiences trust and respond to it. Some research suggests that alerting readers to AI origin reduces perceived credibility and willingness to share. Content labeled “AI-generated” may be viewed as less accurate and shared less, even when it is in fact more accurate than content labeled as human-made. Disclosing AI use can undermine the communicator’s credibility. This transparency paradox confronts managers with a dilemma: openly admit AI use (and risk lower trust) or conceal it (with the risk of an even greater loss of trust if the hidden use is later revealed). The research will examine how such transparency affects customer trust, message persuasiveness, and brand loyalty, and will seek strategies for leveraging AI transparently without sacrificing the authenticity of communication or customer relationships. - AI Authorship and the “Authenticity Penalty” in Emotional Brand Communication
Emotionally charged brand communication (e.g., personal messages to customers, brand storytelling) plays a key role in building trust and authenticity. Using AI to create such content may lead to an “authenticity penalty”—a drop in perceived genuineness and negative customer reactions. Early research suggests that when customers learn an emotional message was created by AI rather than a human, they respond unfavorably. Kirk and Givi (2025) showed that belief in AI authorship of a heartfelt note elicited moral disgust and reduced both willingness to recommend the brand and customer loyalty. This AI-authorship effect is mediated by lower perceived authenticity of the message. Interestingly, the negative impact is mitigated for factual (non-emotional) messages or when AI merely edits the communication, and people punish inauthentic emotional mimicry more in humans than in machines. The research will focus on how AI authorship of emotional communication affects customer–brand relationships and how managers can curb authenticity loss when using AI.
Mehmet A. Orhan Ph.D.
Research Areas
Critical management studies, organizational studies, organizational behavior, sustainable (academic) careers, employee well-being, the state of academia, as well as remote work, technology use in the workplace, sustainable future of work.
Sample topics for dissertation theses
- Social inequalities, psychological capital and the future of work
- Dark sides of remote work
- Inequalities in remote work: Power dynamics, technology access, and employee well-being in the hybrid workplace
- Inequalities in higher education and academia
- Technological inequalities in the workplace
- Non-standard work practices and individual experiences in the digital world (digital careers such as YouTubers, influencers, etc.)
- Overemployment in the digital era
- Academic elites and questionable research practices
Any other topic proposals are welcome. Precise topics can be determined upon mutual agreement that brings the areas of interest specified above.
doc. Ing. Peter Pažitný, Ph.D., MSc
Supervised Theses Topics
- New models of organizing healthcare providers at the city, regional, and metropolitan levels (e.g., long-term contracts, metropolitan funds, foundation-based models, public–private partnerships, consortia).
- Modern payment mechanisms in healthcare (risk-sharing contracts, pay-for-performance, pay-for-quality) in the context of the New Public Management approach.
- Redesign and transformation of patient pathways in chronic disease management through digital technologies and artificial intelligence.
doc. Ing. Pavel Syrovátka, Ph.D.
Supervised Theses Topics
- Price Dynamics within Selected Markets
(a) Within a specific market, the dissertation may focus on analyzing the systematic patterns of price developments. In relation to defined market determinants and structures, the research may examine the intensity, lag effects, seasonality, or longer-term cyclicality of price reactions in the given market, with particular attention to price flexibility. Analyses of price dynamics may also be linked to the evolution of market concentration on the supply or demand side and to firms’ pricing practices or strategies. Another option is modeling price developments in the selected market for predictive purposes, which has practical relevance for firms, investors, policymakers, and market regulators.
(b) Within a group of horizontally or vertically related markets, the dissertation may examine price transmission, asymmetries in transmission intensity, or lag effects. In the case of vertically integrated markets, the work may also focus on the influence of the primary demand function on the formation of secondary demand functions. For markets at the same horizontal level, the enforcement of the Law of One Price may be analyzed in the context of transaction costs, typically across different countries or specified regions. - Sustainable Household Consumption and Emerging Patterns of Consumer Behaviour
The dissertation will focus on how consumer behaviour evolves in the context of sustainable consumption, i.e., how households respond to current environmental and social challenges while satisfying their needs under budgetary constraints. In the analytical part, demand system models (e.g., LES, AIDS) may be employed as deterministic cores of these newly emerging demand relationships. Their extended specifications can then incorporate the environmental and social dimensions of sustainable consumption. Alongside this traditional neoclassical approach to consumer behaviour and its extensions, the dissertation may also apply alternative approaches, such as the tools and insights of behavioural economics.
doc. Ing. Jindřich Špička, Ph.D.
Areas of research
- Risk management in agricultural primary production
Sample topics for dissertation theses
- the supervisor prefers a personal agreement with those interested in study
doc. Ing. Petr Štumpf, Ph.D.
Supervised Theses Topics
- System dynamics modelling for decision-making support in destination management
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The role of social identity of residents and visitors in destination management and marketing
Ing. Jiří Vomlel, Ph.D.
Areas of research
Artificial Intelligence, Probabilistic Graphical Models, Machine Learning, Computerized Adaptive Testing
Sample topics of PhD Thesis
Artificial Intelligence for managerial decision support
Adaptation of user applications to user needs and level
Machine learning methods for obtaining structural knowledge from data