• Ei tuloksia

Based on the findings of this research, there are numerous questions that remain unanswered. First, the impact of growth companies needs to be investigated further after allowing growth entrepreneurs to become familiar with the impact data from their own companies and to make the necessary improvements to optimise their net impact. Second, the bi-directional CFP–CSP relationship should be investigated after there is more net impact data available from the year 2019 and onwards. Third, this research should be extended to larger companies, other branches and other geographies in order to verify whether similar results can be found. Fourth, since Finnish technology companies are still relatively immature in terms of CSP, research relating to CSP maturity level needs to conduct case studies, especially from levels three and four as benchmarks for both research and other companies.

Fifth, the net impact method is a recent method that has its own research angles and that opens interesting research opportunities. Using the same relative scale and the same input has excellent potential for making global comparisons. Thus, net impact offers a tool for delving deeper into different impact strategies of either individual companies, companies representing the same or different industries or the investment strategies of venture capital companies. It even facilitates the comparison of the impact of industrial policies at the country level or between different large actors—EU, USA, Russia and China. By adjusting the weights of the dimensions or their individual impact categories, it is possible to investigate even individual emerging new impacts and their interactions with other impacts. Sixth, the intercorrelation between different dimensions and their individual impact categories should be investigated in more depth in order to understand more about the dynamism of the net impact as a phenomenon. Seventh, temporal lag research should delve deeper into these dimensions and their different categories as well.

More longitudinal CFP data and CSP data is needed to clarify the temporal lags of the different dimensions and of their impact categories in order to paint the net impact picture more fully.

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