The innovation capacity of Norwegian innovation system, according Triple Helix model of innovations approach, is analyzed in terms of mutual information among geographical, sectorial, and size distributions of firms as dimensions of probabilistic entropy. Negative entropies can be considered as...

The innovation capacity of a system can be measured as the synergy in interactions among its parts. Synergy can be considered as a consequence of negative entropies among three parts of the system. We analyze the development of synergy value in the Norwegian innovation system in terms of mutual...

In this study, we show how internationalization and foreign-owned firms influence synergies in the regional innovation systems of Hungary. We first distinguish three innovation system functions (knowledge exploitation, knowledge exploration, and organizational control) operating in regions and...

Employing a quantitative, data-driven tool - the Triple Helix Indicator - to microdata of firms in Germany, we develop an evidence base for innovation-policy strategies. We aim to answer the question which level of government (local, regional, national) might be most effective for strategic...

Triple Helix arrangements of bi- and trilateral relations can be considered as adaptive ecosystems. During the last decade, we have further developed a Triple Helix indicator of synergy as reduction of uncertainty in niches that can be shaped among three or more sets of relations. Reduction of...

Problem-solving often requires crossing boundaries, such as those between disciplines. However, the measurement and evaluation of “interdisciplinarity” can be confusing because the concept itself is composite