Business Ecosystem Analysis & Representation Framework (BEAR): A Semantic Approach to Mapping Organizational Relationships and Supply Chain Interdependencies in Wind Energy
Keywords: Business Ecosystem, Ontology, Knowledge Graph, Business Ecosystem Analysis, Supply Chain Analysis, Wind Energy Ecosystem, Business Ecosystem Visualization
TL;DR: The BEAR framework leverages semantic technologies to map organizational relationships within complex business ecosystems. It blends theoretical insights with empirical data to reveal hidden dynamics, offering a tool for strategic analysis.
Abstract: Traditional analytical frameworks often struggle to capture the complexity of business ecosystems, leading to
ecosystem blind spots and missed opportunities. Following a semantic approach, we introduce the Business
Ecosystem Analysis & Representation (BEAR) framework to uncover these blind spots. This approach leverages
domain, seed ontologies, and empirical data to construct insightful knowledge graphs and context-driven
visualizations, enabling question-driven analysis. Furthermore, we applied BEAR to the wind energy ecosystem
to demonstrate its value using data from 35 companies extracted from WindEnergy Hamburg 2024. Guided by co-
developed questions with industry experts from a leading manufacturer, our analysis revealed the BEAR’s ability
to map organizational positioning, interdependencies, and previously hidden wind energy ecosystem supply
chain dynamics. These preliminary results demonstrate BEAR’s effectiveness in unlocking deeper ecosystem
understanding beyond syntactic methods, offering a scalable, semantic toolset that promises to advance strategic
planning and ecosystem knowledge representation in business ecosystem analysis.
Submission Number: 6
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