Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values
For researchers studying innovation systems, this work provides a method to analyze and predict synergy dynamics, though it is an incremental application of existing spectral analysis to a specific dataset.
The study analyzes synergy dynamics in the Norwegian innovation system using Triple Helix relations, finding that synergy exhibits non-chaotic oscillatory behavior with predictable patterns, including proportional amplitude-synergy and inverse frequency-synergy relationships.
The knowledge base of an economy measured in terms of Triple Helix relations can be analyzed in terms of mutual information among geographical, sectorial, and size distributions of firms as dimensions of the probabilistic entropy. The resulting synergy values of a TH system provide static snapshots. In this study, we add the time dimension and analyze the synergy dynamics using the Norwegian innovation system as an example. The synergy among the three dimensions can be mapped as a set of partial time series and spectrally analyzed. The results suggest that the synergy at the level of both the country and its 19 counties shoe non-chaotic oscillatory behavior and resonates in a set of natural frequencies. That is, synergy surges and drops are non-random and can be analyzed and predicted. There is a proportional dependence between the amplitudes of oscillations and synergy values and an inverse proportional dependence between the oscillation frequencies' relative inputs and synergy values. This analysis of the data informs us that one can expect frequency-related synergy-volatility growth in relation to the synergy value and a shift in the synergy volatility towards the long-term fluctuations with the synergy growth.