As part of this project, a guide for SMEs on the topics of innovation and business models is being developed to provide a low-threshold, time-independent, and SME-friendly access to these subjects. Instead of treating these topics separately, as is often the case, they will be presented as a mutually supportive combination and designed in an interactive format.

The main outputs and results of Danube DNA will include:
An established Danube DNA network of “one-stop shops” for SMEs’ digital transformation and knowledge transfer along the Danube Region. The establishment of the Danube DNA platform. Transnational guidelines for the smart specialization of the Danube Region. Knowledge transfer sessions and capacity-building organized in 12 Danube Region countries. Six joint technological solutions. Twelve pilot actions in 12 Danube countries.

The automotive industry is currently undergoing a rapid transformation driven by the use of AI technologies and other global trends. It is still unclear how this change will impact business models across the value chain. AI technologies have the potential to revolutionize business models in various areas of the automotive industry. Data-driven and service-based business models, enabled in part by AI, will be of essential importance for automotive companies in the future.

The BIG Picture^TM innovation model is a holistic, strategy-oriented and cyclical model. It makes the complex topic of innovation management with its strategic integration, the possible innovation classes from incremental to radical, the operational processes and decision-making steps comprehensible at a glance.

As early as 2021, FH CAMPUS 02, in collaboration with the Institute for Technology and Innovation Management (TIM) at RWTH Aachen, developed a Business Model Configurator (GMK). The GMK of FH CAMPUS 02 helps Styrian SMEs identify their own business model and outlines possible pathways to new desired versions.

Artificial Intelligence (AI) offers a variety of benefits for small and medium-sized enterprises (SMEs). It can help them remain competitive and fully exploit their growth potential. SMEs can use AI to automate business processes, generate new ideas, and develop innovative solutions. By leveraging AI tools, SMEs can analyze large datasets and identify patterns that assist in discovering new market opportunities and developing innovative products and services. It is crucial for SMEs to recognize the potential of AI and integrate it into their innovation strategy to meet the evolving market demands and achieve sustainable growth.

The motivation for the project lies in the megatrend of sustainable development and the recently presented sustainability strategy of Styria. The project supports businesses in engaging more easily with sustainable innovations and promotes an innovation management process for sustainable tourism.