Key research themes
1. How can scientific principles and empirical experimentation improve organizational design to optimize performance?
This research area explores the application of scientific methods and experimentation to organizational design, emphasizing the alignment between organizational structures and coordination mechanisms for effective task performance. It addresses challenges in designing organizations for unprecedented contexts and aims to develop evidence-based models that inform how structure impacts coordination and performance, thereby advancing a normative science of organizational design.
2. What is the role of enterprise architecture principles, frameworks, and artifacts in aligning business and IT within organizations to create value?
This theme investigates enterprise architecture (EA) as an integrative discipline combining organizational strategy and IT infrastructure through principles, frameworks, and artifacts. It explores how EA operates as a regulative mechanism for organizational governance and knowledge management, the diversity of its models, maturity, and the factors influencing value creation. The research addresses empirical gaps concerning the effectiveness and myths surrounding EA and its impact on organizational performance.
3. How do organizational structures and models, including agent-based and multi-dimensional frameworks, capture complexity and support effective coordination in dynamic environments?
Research under this theme delves into the conceptualization and modeling of organizational architectures, emphasizing multi-agent systems and agent organizations as metaphors for managing heterogeneous, dynamic entities. It analyzes how structural, interactive, functional, and normative dimensions, alongside adaptability and evaluation, contribute to the design of flexible organizations capable of dynamic reconfiguration and improved coordination in complex environments.