Socio-demographics variables and their categories
| Teams size* | Gender (k = 2) | Age (k = 3) | Level of education (k = 5) | Kind of education (k = 8) | Number of other organizations founded (k = 9) | Number of management experiences (k = 13) | Number of other career experiences (k = 11) |
|---|---|---|---|---|---|---|---|
| 1 | Male | under 40 | Secondary School | General Education | 0 | 0 | 0 |
| 2 | Female | 40–54 | Bachelor's | Engineering | 1 | 1 | 1 |
| 3 | 55–69 | Master's | Computer Science | 2 | 2 | 2 | |
| 4 | MBA | Economics | 3 | 3 | 3 | ||
| 5 | PhD | Management | 4 | 4 | 4 | ||
| 7 | Finance | 5 | 5 | 5 | |||
| 10 | Law | 6 | 6 | 6 | |||
| Other | 7 | 7 | 7 | ||||
| 8 | 8 | 8 | |||||
| 9 | 9 | ||||||
| 10 | 10 | ||||||
| 11 | |||||||
| 12 |
| Teams size* | Gender (k = 2) | Age (k = 3) | Level of education (k = 5) | Kind of education (k = 8) | Number of other organizations founded (k = 9) | Number of management experiences (k = 13) | Number of other career experiences (k = 11) |
|---|---|---|---|---|---|---|---|
| 1 | Male | under 40 | Secondary School | General Education | 0 | 0 | 0 |
| 2 | Female | 40–54 | Bachelor's | Engineering | 1 | 1 | 1 |
| 3 | 55–69 | Master's | Computer Science | 2 | 2 | 2 | |
| 4 | MBA | Economics | 3 | 3 | 3 | ||
| 5 | PhD | Management | 4 | 4 | 4 | ||
| 7 | Finance | 5 | 5 | 5 | |||
| 10 | Law | 6 | 6 | 6 | |||
| Other | 7 | 7 | 7 | ||||
| 8 | 8 | 8 | |||||
| 9 | 9 | ||||||
| 10 | 10 | ||||||
| 11 | |||||||
| 12 |
Note(s): *Categories associated with the team size variable correspond to the numerosities actually observed in the sample
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