An Active Support Instrument for Innovation in Deep Uncertainty – The Strategic Management Ingredients in Robotics and Mechatronics

The paper creates the necessary theoretical and applied frame to reduce the unpredictability of the dynamics of innovation, the speed of technological transfer and the speed of reconfiguration/transformation through the integration of systems engineering techniques, dedicated methods for strategic decision making processes and the integration of portfolio management principles in real options with an additional stochastic ingredient expressed by Geometric Brownian Motion (GBM). This new philosophy does not try to find an optimum decision-making in the process of innovation, but contributes to a generalized dynamic prediction on the development of specific mechanism based on flexibility in order to build special dedicated solutions in the field of innovative industries, like robotics and mechatronics. Strategic management ingredients should respond to the challenge of adapting to the typical circumstances of market reactions and the change of the consumer behaviour. Decision making process in high tech industries like robotics and mechatronics is very complex because the technical element should be understand in the relationship with innovators, socio-economic and financial elements. The framework is even more complicated by the market reactions to disruptive technological progress and a very strong global competition. Flexible ingredients in the organizational process offered by concepts like lean manufacturing and Six Sigma are materialized only in a technical manner, but managers in high tech industries are influenced by the need of additional flexibility in order to adapt a quickly respond to changes in markets.