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The below-average innovative capacity of the tourism sector raises the question on the potentials of digital business ecosystems (DBEs) to overcome these shortages at a destination level – especially within a smart city environment. Using the example of the German Capital Berlin, this article aims to discuss both the possibilities and inhibitors of innovative knowledge-creation by building scenarios on one specific design option: the integration of digital deep learning (DL) functionalities and traditional organizational learning (OL) processes.

Using the qualitative GABEK-method, major characteristics of a DBE as resource-, platform- and innovation systems are analyzed toward their interactions with the construction of basic action models (as the basic building blocks of knowledge).

Against the background of the research findings, two scenarios are discussed for future evolution of the Berlin DBE, one building on cultural emulation as a trigger for optimized DL functionalities and one following the idea of cultural engineering supported by DL functionalities. Both scenarios focus specifically on the identified systemic inhibitors of innovative capabilities.

While this study highlights the potential of the GABEK method to analyze mental models, separation of explicit and latent models still remains challenging – so does the reconstruction of higher order mental models which require a combined take on interview techniques in the future.

The resulting scenarios innovatively combine concepts from OL theory with the concept of DBE, thus indicating possible pathways into a tourism future where the limitations of human learning capacities could be compensated through the targeted support of general artificial intelligence (AI).

One of the main challenges of supply chain management (SCM) is to improve collaborative planning in supply networks while preserving autonomy of each network member. In order to improve coordination and planning processes across company boundaries supply chain management systems (SCMS;, e.g. shared databases) are introduced in supply networks. Aims to address these issues.

There is a lack of knowledge about the extent to which SCMS can support collaborative planning processes. The preliminary findings concerning this question are based on a case study of a supply network in the forestry and timber industry.

The results indicate that the SCMS implemented in this forestry network has had only limited effects on collaborative planning processes so far. One possible explanation for this result is that the SCMS was implemented suboptimally (e.g. modifications of the SCMS were not communicated to users).

Supply networks in forestry have to pay close attention to change management issues when designing and implementing information technology to tap the full potential of SCMS.

The quality of an education system or a comparative international assessment refers more and more to quantitative parameters, i.e. “educational indicators”. The paper aims to analyse the structure of several educational indicators and indicator systems and answer the question “What can educational indicators achieve?”

Starting with a general consideration of the term “indicator” the findings are applied to the educational area and the development of educational indicators is analysed critically.

Indicators allow for the illustration of outcomes and of system processes. Beginning in the 1950s, following the empirical turn in research methods, and the growing significance of approaches from economics of education, indicators are now applied in national and international settings. The findings show that the combination of the quantitative and qualitative approach is more successful as the isolated research.

The research is based on secondary analysis. A combination of quantitative and qualitative research methodology should be undertaken in following the progress of educational systems.

The findings of quantitative research based on educational indicators determine the general public and political discussion and often the discourse in the scientific community. The analysis shows that a critical distance especially when preparing political decisions is a necessary attitude.