Comparison of drivers for open innovation between high-tech industries and non-high-tech-industries
| Drivers for the open innovation | Industry | Pearson's chi-squared; sig | |
|---|---|---|---|
| High-tech | Non-high-tech | ||
| Internal drivers related to innovation processes | |||
| Shortening the innovation processes | 24.7% | 28.9% | 0.610 |
| Reducing costs of innovation | 36.4% | 46.7% | 0.263 |
| Increasing number if innovations | 26.0% | 28.9% | 0.727 |
| Reducing risk of innovations | 15.6% | 11.1% | 0.491 |
| Improving research potential | 5.2% | 2.2% | 0.424 |
| Earnings from unused inventions | 3.9% | 4.4% | 0.883 |
| Acquiring new knowledge and technology | 13.0% | 24.4% | 0.106 |
| Internal market-driven motives | |||
| Possibility to gain new clients | 55.8% | 53.3% | 0.788 |
| Improving competitiveness of a firm | 70.1% | 71.1% | 0.909 |
| Improving loyalty of existing buyers | 48.1% | 57.8% | 0.300 |
| Increasing revenues from innovations | 51.9% | 73.3% | 0.020 |
| External drivers | |||
| Highly turbulent external environment | 6.5% | 2.2% | 0.292 |
| Competitive pressure | 7.8% | 0.0% | 0.055 |
| Pressure exert by business partners | 5.2% | 0.0% | 0.120 |
| Possibility to gain financial support for the open innovation | 5.2% | 8.9% | 0.426 |
Distribution of respondents across industries and size classes
| Parameter | No. of firms | Share% | |
|---|---|---|---|
| Size class | 0–9 employees (micro firm) | 3 | 2.5 |
| 10–49 employees (small-sized firm) | 30 | 24.6 | |
| 50–249 employees (medium-sized firm) | 40 | 32.8 | |
| More than 250 employees (large firm) | 49 | 40.2 | |
| Industry | High-tech industries | 77 | 63.1 |
| Non-high-tech industries | 45 | 36.9 | |
Drivers for open innovation
| Internal drivers related to innovation processes |
| Shortening the innovation processes |
| Reducing costs of innovation |
| Increasing number if innovations |
| Reducing risk of innovations |
| Improving research potential |
| Earnings from unused inventions |
| Acquiring new knowledge and technology |
| Internal market-driven motives |
| Possibility to gain new clients |
| Improving competitiveness of a firm |
| Improving loyalty of existing buyers |
| Increasing revenues from innovations |
| External drivers |
| Highly turbulent external environment |
| Competitive pressure |
| Pressure exert by business partners |
| Possibility to gain financial support for the open innovation |
Barriers for open innovation
| Internal barriers |
| Negative experience from past cooperation |
| Risk of creating new competitor |
| Lack of trust |
| Legal barriers |
| Financial barriers |
| Risk of unequal distribution of income from innovation |
| Lack of aim alignment |
| Cultural differences |
| Resources misfit |
| Difficulties in finding right partners |
| Employees’ resistance |
| External drivers |
| Market maturity |
| Lack of competitive pressure |
| Lack of pressure exert by business partners |
| Lack of external financial support |
Comparison of barriers for open innovation between high-tech industries and non-high-tech-industries
| Barriers for the open innovation | Industry | Pearson's chi-squared; sig | |
|---|---|---|---|
| High-tech | Non-high-tech | ||
| Internal barriers | |||
| Negative experience from past cooperation | 1.3% | 2.2% | 0.698 |
| Risk of creating new competitor | 28.6% | 20.0% | 0.294 |
| Lack of trust | 26.0% | 17.8% | 0.299 |
| Legal barriers | 83.1% | 91.1% | 0.219 |
| Financial barriers | 75.3% | 80.0% | 0.554 |
| Risk of unequal distribution of income from innovation | 13.0% | 20.0% | 0.303 |
| Lack of aim alignment | 11.7% | 26.7% | 0.034 |
| Cultural differences | 7.8% | 13.3% | 0.321 |
| Resources misfit | 18.2% | 17.8% | 0.955 |
| Difficulties in finding right partners | 28.6% | 40.0% | 0.194 |
| Employees’ resistance | 6.5% | 11.1% | 0.370 |
| External drivers | |||
| Market maturity | 1.3% | 2.2% | 0.698 |
| Lack of competitive pressure | 0.0% | 2.2% | 0.189 |
| Lack of pressure exert by business partners | 0.0% | 0.0% | NA |
| Lack of external financial support | 0.0% | 0.0% | NA |