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ate of Germany’s enterprises. Both the reciprocal Rate3 of Lithuania’s process innovative
(17,59%) and organisational and/or marketing innovative enterprises (34,41%) were higher
than the same of the EU-27 enterprises.
Figure 3. The rate of innovative enterprises by the types of innovation in total number of innovation-active
enterprises within Innovation core activities sector, 2010.
Source: prepared by author based on (CIS, n.d.).
Finalising the results of the accomplished analysis it can be stated that in total explored
Lithuanian and other Baltic countries enterprises of Sector in the period of 2008-2010, with
exception of Estonia, were significantly lower innovating-active than those of Germany and the
EU-27. On the contrary reciprocal rates of the Baltic countries process and organizational
and/or marketing innovative enterprises in total number of reciprocal Sectror innovation-active
enterprises in 2008-2010 were higher then those of Germany and the EU-27. Definitely that has
justified the need to promote and foster involvement of the Lithuanian and neighbour Baltic
countries enterprises into innovation activities at any degree of novelty and diffusion.
Conclusions
The surveyed evolutionary trends in the innovation concepts, models and types allow the
identification of their driving forces: essential changes in the economy substratum of the
modern post-industrial knowledge based society; the shift in innovation models from macroeconomical
to micro-economical level of a distinct business firm due to the lack of data that
should be downloaded into fundamental macro-models; gradually shifts from “top-down
priority setting” to “bottom-up priorities setting” in business related innovation policymaking
due to growing emphasis on the firms innovativeness. In this context, innovation concept is
based on the position that the use of new products, processes, organisational and marketing
methods leads to new ways of thinking and new knowledge.
Thus iterative cycle of knowledge and creation of new knowledge, in turn, leads to
intensification of business firms related to innovative processes. Then it is crucial to know why,
how and what firms innovate in order to improve their performance and competitive position
under varying and unpredictable uncertainty of external macro environment. In this quest for
measuring business related innovation data from the perspective of the firm, statistics has been
the best way to establish the evidence.
The accomplished analysis of estimating the innovativeness rate of the EU Innovation core
activities sector’s target Lithuanian enterprises by the types of innovation has justified the need
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