Overview

Building the digital economy, one venture at a time

This research area examines the dynamics of entrepreneurship and innovation in digital environments. We study how new ventures emerge, how established organisations transform through digital technologies, and how ecosystems evolve to support sustained innovation.

Our work spans theoretical model development, empirical studies with startups and SMEs, and applied collaboration with the innovation ecosystem of Northern Greece and beyond.

Mixed-method research

Surveys, case studies, and big-data analytics combined for richer insights.

Ecosystem collaboration

Partnerships with accelerators, incubators, and regional innovation hubs.

Policy-relevant outputs

Research informing both national and EU-level innovation policy.

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What we study

Core Research Themes

Six interconnected themes that map the entrepreneurial and innovation landscape of the digital age.

Digital Entrepreneurship

We investigate how digital technologies reshape the creation, scaling, and governance of new ventures. This includes platform-based businesses, digital-born startups, and new funding mechanisms such as crowdfunding and token-based models.

  • Platform strategy and multi-sided market dynamics
  • Digital-native venture creation and lean startup methods
  • Alternative finance: crowdfunding, ICOs, and equity tokens
  • Social entrepreneurship in digital contexts

We study the processes, structures, and cultures that enable sustained innovation across organisations of all sizes — from lean startup experimentation to corporate innovation labs and open-innovation partnerships.

  • Open and collaborative innovation models
  • Corporate venture capital and intrapreneurship
  • Innovation measurement and performance indicators
  • National and regional innovation system analysis

We analyse how organisations redesign processes, culture, and customer experiences around digital technologies, and identify the leadership, change-management, and governance factors that make transformations succeed or fail.

  • Digital maturity frameworks and assessment models
  • Change management and organisational resistance
  • AI and automation adoption at the firm level
  • Digital leadership competencies and governance

We map the actors, institutions, and network dynamics of regional innovation ecosystems, with a focus on university spin-offs, accelerator programmes, and the role of public policy in enabling entrepreneurial activity.

  • University–industry knowledge transfer mechanisms
  • Accelerator and incubator programme effectiveness
  • Regional ecosystem benchmarking and policy implications
  • Entrepreneurial network formation and social capital

We apply and extend adoption frameworks — TAM, UTAUT, DOI theory — to understand how individuals and organisations adopt emerging technologies, from AI and blockchain to IoT and cloud platforms.

  • Consumer and enterprise technology adoption behaviour
  • Barriers and enablers of AI/ML adoption in SMEs
  • Blockchain and distributed ledger technology acceptance
  • Cross-cultural and sector-specific diffusion studies

We explore how digital disruption forces incumbents and new entrants alike to reconfigure their value propositions, revenue streams, and partner networks — and the strategic tools that help them do so.

  • Platform and ecosystem business model design
  • Subscription, freemium, and data-monetisation models
  • Business model experimentation and pivoting
  • Sustainability-driven business model transformation

Interested in collaborating?

Whether you are a researcher, a company seeking innovation partnerships, or a student looking for a thesis topic, we would love to hear from you.