OrgLAB - Research Pillars

Artificial Intelligence &
the Future of Work

OrgLab studies the evolving role of Artificial Intelligence in reshaping workforce and organizational processes. Through interdisciplinary studies - from qualitative fieldwork to quantitative modeling - we investigate how AI use transforms job profiles, skill requirements, and organizational structures. By critically examining both the benefits and unintended consequences, our research provides a nuanced foundation for evidence-based strategies in the rapidly changing landscape of work.

In the era of remote work and virtual teams, OrgLab analyzes the organizational impact of innovative coordination mechanisms and digital collaboration frameworks. We examine how organizations, platforms, and ecosystems leverage technology for distributed decision-making, knowledge sharing, and agile responsiveness. Our goal is to produce actionable insights on designing more effective and resilient intra and inter-organizational networks.

Coordination &
Digital Collaboration

Innovation &
Digital Business Models

OrgLab’s exploration of innovation focuses on how emerging technologies are propelling new business models. We analyze how digital strategies reshape design and behavioral dynamics within organizations. By combining theories from organization studies, sociology, and information systems, we develop a holistic perspective on fostering sustainable, innovation-driven growth for enterprises, public institutions, and beyond.

Complex systems demand robust analytical tools. OrgLab utilizes advanced computational modeling and simulation to study organizational dynamics, optimize decision-making, and refine structural design. This pillar integrates empirical evidence and scenario-based experimentation to capture the interplay between human behavior, technology, and governance. The resulting insights support data-driven transformations that help organizations succeed in unpredictable, rapidly evolving environments.

Simulation, Modeling & Organizational Design

Publications


2025


2024


Other Selected Publications