
Figure 1.
The hypothetical model of the conditioning of between governance, culture, development and digital social innovation.
Table 1.
EDSII and the corresponding set memberships.
| Country | Economist Intelligence Unit Social Innovation Index | European Digital Social Innovation Index (EDSII) | EDSII category - anchor (textual expression) | EDSII category - anchor (numeric expression) | Calibrated membership in the set of highly digitally socially innovative countries |
|---|---|---|---|---|---|
| Denmark | 71.2 | 73.8 | Fully highly digitally socially innovative | 1.00 | 1.000 |
| United Kingdom | 77.3 | 72.2 | 1.00 | 0.999999 | |
| Netherlands | 57.7 | 68.7 | 1.00 | 0.999992 | |
| Spain | 44.8 | 63.6 | 1.00 | 0.999885 | |
| Sweden | 65.7 | 63.3 | 1.00 | 0.999867 | |
| Finland | 59.2 | 58.2 | 1.00 | 0998647 | |
| France | 66.4 | 56.9 | 1.00 | 0.997699 | |
| Belgium | 69.2 | 55.9 | 1.00 | 0.996591 | |
| Ireland | 56.5 | 53.1 | 1.00 | 0.99047 | |
| Austria | n.a. | 51.5 | 1.00 | 0.983639 | |
| Germany | 66 | 50.3 | 1.00 | 0.976011 | |
| Slovenia | n.a. | 41.1 | Mostly highly digitally socially innovative | 0.67 | 0.772396 |
| Latvia | n.a. | 39.2 | 0.67 | 0691402 | |
| Czechia | n.a. | 38.1 | 0.67 | 0.640847 | |
| Portugal | 52 | 37.0 | 0.67 | 0.589042 | |
| Poland | 52.6 | 33.8 | Mostly not highly digitally socially innovative | 0.33 | 0.441652 |
| Lithuania | n.a. | 32.9 | 0.33 | 0.403235 | |
| Cyprus | n.a. | 32.8 | 0.33 | 0.399082 | |
| Slovakia | n.a. | 32.3 | 0.33 | 0.378686 | |
| Estonia | n.a. | 30.0 | 0.33 | 0.29327 | |
| Hungary | n.a. | 28.1 | 0.33 | 0.233298 | |
| Italy | 57.5 | 24.7 | 0.33 | 0.147394 | |
| Romania | n.a. | 17.9 | Not highly digitally socially innovative | 0.00 | 0.037805 |
| Bulgaria | n.a. | 14.8 | 0.00 | 0.011962 | |
| Greece | n.a. | 13.7 | 0.00 | 0.006631 | |
| Croatia | n.a. | 10.7 | 0.00 | 0.000499 |
[i] Sources: (Economist Intelligence Unit n.d.; Nesta 2019); own calculations.
[ii] EDSII, European Digital Social Innovation Index.
Table 2.
Aspects of culture and the corresponding set memberships
| Country | Power distance | Power distance category – anchor | Calibrated membership in the set of countries with high power distance | Individualism | Individualism category – anchor | Calibrated membership in the set of countries with high individualism | Masculinity | Masculinity category – anchor | Calibrated membership in the set of countries with high masculinity |
|---|---|---|---|---|---|---|---|---|---|
| Austria | 11 | 0 | 0.00070 | 55 | 0.33 | 0.32145 | 79 | 1.00 | 0.89129 |
| Belgium | 65 | 0.67 | 0.65506 | 75 | 0.67 | 0.70823 | 54 | 0.67 | 0.55857 |
| Bulgaria | 70 | 0.67 | 0.72202 | 30 | 0.00 | 0.00166 | 40 | 0.33 | 0.37055 |
| Croatia | 73 | 0.67 | 0.76144 | 33 | 0.00 | 0.00629 | 40 | 0.33 | 0.37055 |
| Cyprus | n.a. | n.a. | n.a. | n.a. | n.a. | n.a. | n.a. | n.a. | n.a. |
| Czechia | 57 | 0.67 | 0.55178 | 58 | 0.33 | 0.38860 | 57 | 0.67 | 0.60133 |
| Denmark | 18 | 0 | 0.05309 | 74 | 0.67 | 0.69324 | 16 | 0.00 | 0.01334 |
| Estonia | 40 | 0.33 | 0.36226 | 60 | 0.33 | 0.43245 | 30 | 0.33 | 0.22630 |
| Finland | 33 | 0.33 | 0.28297 | 63 | 0.67 | 0.49580 | 26 | 0.33 | 0.15893 |
| France | 68 | 0.67 | 0.69527 | 71 | 0.67 | 0.64528 | 43 | 0.33 | 0.41015 |
| Germany | 35 | 0.33 | 0.30684 | 67 | 0.67 | 0.57437 | 66 | 0.67 | 0.73194 |
| Greece | 60 | 0.67 | 0.58948 | 35 | 0.00 | 0.01275 | 57 | 0.67 | 0.60133 |
| Hungary | 46 | 0.33 | 0.42606 | 80 | 0.67 | 0.77593 | 88 | 1.00 | 0.95596 |
| Ireland | 28 | 0.33 | 0.21602 | 70 | 0.67 | 0.62829 | 68 | 0.67 | 0.76007 |
| Italy | 50 | 0.33 | 0.46972 | 76 | 0.67 | 0.72273 | 70 | 0.67 | 0.78727 |
| Latvia | 44 | 0.33 | 0.40475 | 70 | 0.67 | 0.62829 | 9 | 0.00 | 0.00000 |
| Lithuania | 42 | 0.33 | 0.38355 | 60 | 0.33 | 0.43245 | 19 | 0.00 | 0.04367 |
| Netherlands | 38 | 0.33 | 0.34061 | 80 | 0.67 | 0.77593 | 14 | 0.00 | 0.00377 |
| Poland | 68 | 0.67 | 0.69527 | 60 | 0.33 | 0.43245 | 64 | 0.67 | 0.70319 |
| Portugal | 63 | 0.67 | 0.62851 | 27 | 0.00 | 0.00028 | 31 | 0.33 | 0.24219 |
| Romania | 90 | 1 | 0.93308 | 30 | 0.00 | 0.00166 | 42 | 0.33 | 0.39700 |
| Slovakia | n.a. | n.a. | n.a. | 52 | 0.33 | 0.25452 | n.a. | n.a. | n.a. |
| Slovenia | 71 | 0.67 | 0.73528 | 27 | 0.00 | 0.00028 | 19 | 0.00 | 0.04367 |
| Spain | 57 | 0.67 | 0.55178 | 51 | 0.33 | 0.23271 | 42 | 0.33 | 0.39700 |
| Sweden | 31 | 0.33 | 0.25761 | 71 | 0.67 | 0.64528 | 5 | 0.00 | 0.00000 |
| U.K. | 35 | 0.33 | 0.30684 | 89 | 1.00 | 0.86909 | 66 | 0.67 | 0.73194 |
| Country | Uncertainty avoidance | Uncertainty avoidance category – anchor | Calibrated membership in the set of countries with high uncertainty avoidance | Long term orientation | Long term orientation category – anchor | Calibrated membership in the set of countries with h long term orientation | IndIndulgence | Indulgence category – anchor | Calibrated membership in the set of countries with high indulgence |
|---|---|---|---|---|---|---|---|---|---|
| Austria | 70 | 0.33 | 0.49281 | 60 | 0.67 | 0.60105 | 63 | 1.00 | 0.97891 |
| Belgium | 94 | 1.00 | 0.93335 | 82 | 1.00 | 0.92309 | 57 | 1.00 | 0.93711 |
| Bulgaria | 85 | 0.67 | 0.81777 | 69 | 0.67 | 0.78117 | 16 | 0.00 | 0.00795 |
| Croatia | 80 | 0.67 | 0.72034 | 58 | 0.67 | 0.55048 | 33 | 0.33 | 0.37210 |
| Cyprus | n.a. | n.a. | n.a. | n.a. | n.a. | n.a. | n.a. | n.a. | n.a. |
| Czechia | 74 | 0.67 | 0.58469 | 70 | 0.67 | 0.79653 | 29 | 0.33 | 0.25817 |
| Denmark | 23 | 0.00 | 0.00108 | 35 | 0.00 | 0.02032 | 70 | 1.00 | 0.99562 |
| Estonia | 60 | 0.33 | 0.29371 | 82 | 1.00 | 0.92309 | 16 | 0.00 | 0.00795 |
| Finland | 59 | 0.33 | 0.27714 | 38 | 0.00 | 0.04789 | 57 | 1.00 | 0.93711 |
| France | 86 | 0.67 | 0.83460 | 63 | 0.67 | 0.66978 | 48 | 0.67 | 0.78851 |
| Germany | 65 | 0.33 | 0.38605 | 83 | 1.00 | 0.92970 | 40 | 0.67 | 0.57661 |
| Greece | 100 | 1.00 | 0.97096 | 45 | 0.33 | 0.18137 | 50 | 0.67 | 0.83143 |
| Hungary | 82 | 0.67 | 0.76173 | 58 | 0.67 | 0.55048 | 31 | 0.33 | 0.31456 |
| Ireland | 35 | 0.00 | 0.03290 | 24 | 0.00 | 0.00004 | 65 | 1.00 | 0.98608 |
| Italy | 75 | 0.67 | 0.60790 | 61 | 0.67 | 0.62493 | 30 | 0.33 | 0.28618 |
| Latvia | 63 | 0.33 | 0.34722 | 69 | 0.67 | 0.78117 | 13 | 0.00 | 0.00061 |
| Lithuania | 65 | 0.33 | 0.38605 | 82 | 1.00 | 0.92309 | 16 | 0.00 | 0.00795 |
| Netherlands | 53 | 0.33 | 0.19051 | 67 | 0.67 | 0.74779 | 68 | 1.00 | 0.99290 |
| Poland | 93 | 1.00 | 0.92437 | 38 | 0.00 | 0.04789 | 29 | 0.33 | 0.25817 |
| Portugal | 99 | 1.00 | 0.96636 | 28 | 0.00 | 0.00084 | 33 | 0.33 | 0.37210 |
| Romania | 90 | 1.00 | 0.89187 | 52 | 0.33 | 0.38084 | 20 | 0.00 | 0.04819 |
| Slovakia | 51 | 0.33 | 0.16607 | 77 | 0.67 | 0.88194 | 28 | 0.33 | 0.23060 |
| Slovenia | 88 | 1.00 | 0.86527 | 49 | 0.33 | 0.29199 | 48 | 0.67 | 0.78851 |
| Spain | 86 | 0.67 | 0.83460 | 48 | 0.33 | 0.26302 | 44 | 0.67 | 0.68873 |
| Sweden | 29 | 0.00 | 0.00978 | 53 | 0.33 | 0.41039 | 78 | 1.00 | 0.99952 |
| U.K. | 35 | 0.00 | 0.03290 | 51 | 0.33 | 0.35112 | 69 | 1.00 | 0.99440 |
[i] Sources: (‘Hofstede Insights’ n.d.); own calculations.
Table 3.
Inclusiveness and effectiveness of governance and the corresponding set memberships.
| Country | World Bank Voice and Accountability of governance (Inclusiveness), 2018 | Inclusiveness category - anchor | Calibrated membership in the set of countries with highly inclusive governance | World Bank Effectiveness of governance (Effectiveness), 2018 | Effectiveness category - anchor | Calibrated membership in the set of countries with highly effective governance |
|---|---|---|---|---|---|---|
| Austria | 1.38 | 1.00 | 0.9366 | 1.45 | 1.00 | 0.9557 |
| Belgium | 1.40 | 1.00 | 0.9433 | 1.17 | 0.67 | 0.8033 |
| Bulgaria | 0.32 | 0.00 | 0.0463 | 0.27 | 0.00 | 0.8515 |
| Croatia | 0.50 | 0.33 | 0.2763 | 0.46 | 0.00 | 0.0259 |
| Cyprus | 1.04 | 0.67 | 0.7454 | 0.92 | 0.67 | 0.5471 |
| Czechia | 0.93 | 0.67 | 0.6636 | 0.92 | 0.67 | 0.5471 |
| Denmark | 1.61 | 1.00 | 0.9861 | 1.87 | 1.00 | 0.9988 |
| Estonia | 1.21 | 0.67 | 0.8574 | 1.19 | 0.67 | 0.8193 |
| Finland | 1.61 | 1.00 | 0.9861 | 1.98 | 1.00 | 0.9996 |
| France | 1.18 | 0.67 | 0.8396 | 1.48 | 1.00 | 0.9638 |
| Germany | 1.42 | 1.00 | 0.9495 | 1.62 | 1.00 | 0.9873 |
| Greece | 0.86 | 0.67 | 0.6098 | 0.34 | 0.00 | 0.0008 |
| Hungary | 0.32 | 0.00 | 0.0463 | 0.49 | 0.00 | 0.0426 |
| Ireland | 1.32 | 1.00 | 0.9131 | 1.42 | 1.00 | 0.9463 |
| Italy | 1.05 | 0.67 | 0.7526 | 0.41 | 0.00 | 0.0087 |
| Latvia | 0.81 | 0.67 | 0.5706 | 1.04 | 0.67 | 0.6816 |
| Lithuania | 0.92 | 0.67 | 0.6559 | 1.07 | 0.67 | 0.7122 |
| Netherlands | 1.60 | 1.00 | 0.9850 | 1.85 | 1.00 | 0.9985 |
| Poland | 0.72 | 0.67 | 0.4975 | 0.66 | 0.33 | 0.2164 |
| Portugal | 1.21 | 0.67 | 0.8574 | 1.21 | 0.67 | 0.8345 |
| Romania | 0.46 | 0.33 | 0.2247 | 0.25 | 0.00 | 0.1122 |
| Slovakia | 0.88 | 0.67 | 0.6253 | 0.71 | 0.33 | 0.2809 |
| Slovenia | 0.99 | 0.67 | 0.7087 | 1.13 | 0.67 | 0.7690 |
| Spain | 1.07 | 0.67 | 0.7668 | 1.00 | 0.67 | 0.6388 |
| Sweden | 1.61 | 1.00 | 0.9861 | 1.83 | 1.00 | 0.9982 |
| United Kingdom | 1.39 | 1.00 | 0.9400 | 1.34 | 1.00 | 0.9138 |
[i] Sources: (World Bank n.d.); own calculations.
Table 4.
Human development index scores and the corresponding set memberships.
| Country | HDI (2019) | HDI category – Anchor | Calibrated membership in the set of countries with very high HDI |
|---|---|---|---|
| Austria | 0.922 | 1 | 0.9028 |
| Belgium | 0.931 | 1 | 0.9561 |
| Bulgaria | 0.816 | 0 | 0.1206 |
| Croatia | 0.851 | 0.33 | 0.1567 |
| Cyprus | 0.887 | 0.33 | 0.4269 |
| Czechia | 0.9 | 0.67 | 0.6227 |
| Denmark | 0.94 | 1 | 0.9823 |
| Estonia | 0.892 | 0.33 | 0.4980 |
| Finland | 0.938 | 1 | 0.9782 |
| France | 0.901 | 0.67 | 0.6385 |
| Germany | 0.947 | 1 | 0.9919 |
| Greece | 0.888 | 0.33 | 0.4405 |
| Hungary | 0.854 | 0.33 | 0.1664 |
| Ireland | 0.955 | 1 | 0.9969 |
| Italy | 0.892 | 0.33 | 0.4980 |
| Latvia | 0.866 | 0.33 | 0.2236 |
| Lithuania | 0.882 | 0.33 | 0.3641 |
| Netherlands | 0.944 | 1 | 0.9886 |
| Poland | 0.88 | 0.33 | 0.3416 |
| Portugal | 0.864 | 0.33 | 0.2117 |
| Romania | 0.828 | 0 | 0.1201 |
| Slovakia | 0.86 | 0.33 | 0.1910 |
| Slovenia | 0.917 | 0.67 | 0.8573 |
| Spain | 0.904 | 0.67 | 0.6854 |
| Sweden | 0.945 | 1 | 0.9898 |
| United Kingdom | 0.932 | 1 | 0.9601 |
[i] Sources: (United Nations Development Programme n.d.); own calculations.
[ii] HDI, Human Development Index.
Table 5.
Consistency and coverage of the consistent causal paths to digital social innovation. The complex solution.
| Causal path | The causal combination Voice * Effect * … | (Unique) Coverage | Consistency |
|---|---|---|---|
| 1 | ~Power Distance * Individualism * ~Uncertainty Avoidance * Indulgence * HDI | 0.078 | 0.999 |
| 2 | ~Power Distance * ~Masculinity * ~Uncertainty Avoidance * ~Long Term Orientation * Indulgence * HDI | 0.031 | 0.991 |
| 3 | ~Power Distance * Masculinity * ~Uncertainty Avoidance * Long Term Orientation * Indulgence * HDI | 0.012 | 0.985 |
| 4 | Power Distance * Individualism * Uncertainty Avoidance * Long Term Orientation * Indulgence * HDI | 0.058 | 0.998 |
| 5 | Power Distance * ~Individualism * ~Masculinity * Uncertainty Avoidance * ~Long Term Orientation * Indulgence * HDI | 0.053 | 0.988 |
| 6 | Power Distance * ~Individualism * Masculinity * Uncertainty Avoidance * Long Term Orientation * ~Indulgence * HDI | 0.011 | 0.935 |
| 7 | ~Power Distance * ~Masculinity * ~Uncertainty Avoidance * Long Term Orientation * ~Indulgence * ~HDI | 0.049 | 0.824 |
| 8 | Power Distance * ~Individualism * ~Masculinity * Uncertainty Avoidance * ~Long Term Orientation * ~Indulgence * ~HDI | 0.025 | 0.928 |
| COMPLETE MODEL – Overall coverage and consistency: | 0.700 | 0.947 |
[i] HDI, Human Development Index.
Table 6.
Consistency and coverage of the consistent causal paths to digital social innovation and sustainability of the parsimonious solution
| Causal path | The causal combination | Unique coverage | Consistency |
|---|---|---|---|
| 1 | Voice * Effect | 0.879 | 0.920 |

Figure 2.
Effective and inclusive governance as a cause of digital social innovation.

Figure 3.
The tested causal model of governance and digital social innovation.