Research Interests

AI and Algorithmic Governance

• Power, discretion, and accountability in hybrid human–AI decision systems

• Institutional design for algorithmic oversight in the public sector

• Human-in-the-loop models in high-stakes public policy domains

• Explainability, transparency, and procedural justice in automated governance

Digital Government and State Capacity

• AI-enabled public service delivery and administrative transformation

• Digital state capacity in developing and transitional contexts

• Implementation gaps in e-government and GovTech reforms

• Bureaucratic adaptation to intelligent systems

Public Sector Innovation and Organizational Learning

• Digital leadership and entrepreneurial innovation in public organizations

• Organizational learning mechanisms in AI adoption

• Knowledge acquisition and integration under technological turbulence

• Innovation dynamics in rule-bound institutional environments

Technology, Power, and Institutional Resilience

• Adaptive capacities of public institutions in AI-augmented contexts

• Governance of risk, uncertainty, and unintended consequences

• Institutional resilience under rapid technological change

• Trust, legitimacy, and political acceptance of intelligent systems

AI for Sustainability and Public Value

• AI-driven environmental governance and climate policy

• Strategic use of data and analytics for sustainable development

• Public value creation through intelligent policy instruments

• Ethical and distributive implications of AI in sustainability transitions

AI in Strategic Management and Business Transformation

• Strategic use of AI for competitive advantage and organizational renewal

• AI capabilities, digital strategy, and firm performance

• Managerial decision-making in data-intensive environments

• Alignment between AI investments and business model innovation

Entrepreneurship, Innovation, and Digital Capabilities

• AI-driven entrepreneurial innovation in SMEs and public enterprises

• Digital leadership and innovation ambidexterity

• Organizational capabilities for technology adoption and scaling

• Human–AI collaboration in managerial and entrepreneurial work

Responsible AI, Ethics, and Corporate Governance

• Governance frameworks for ethical AI adoption in firms

• Board-level oversight of algorithmic decision systems

• Integration of AI ethics into corporate strategy and risk management

• Corporate responsibility, transparency, and stakeholder trust in AI-driven organizations