Digital technologies have led to the emergence of new ways of creating value and, by enabling business ecosystems, to a change in the way businesses are organized. However, due to their non-hierarchical and complementary nature, business ecosystems are not easy to create or sustain. To support the systematic design and analysis of business ecosystems, business modeling has emerged as a valuable tool. Our structured review of the literature on business model modeling languages has found 45 potentially relevant publications. Although a preliminary analysis shows that existing modeling languages only provide limited support for business ecosystems, they can provide a useful conceptual basis to enable further research. This research-in-progress paper outlines first steps taken to identify recently developed business model modeling languages and to synthesize and organize the knowledge dispersed across disciplines. Thus, the future results of study are expected to contribute to research on business model collaboration and business ecosystems.
Vorbohle, Christian and Kundisch, Dennis, "OVERCOMING SILOS: A REVIEW OF BUSINESS MODEL MODELING LANGUAGES FOR BUSINESS ECOSYSTEMS" (2022). ECIS 2022 Research-in-Progress Papers. 40.
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