Bio-data of respondents
| Frequency | Percent | ||
|---|---|---|---|
| Gender | Male | 349 | 54.4 |
| Female | 294 | 45.6 | |
| Total | 643 | 100 | |
| Age | 18–29 | 178 | 27.7 |
| 30–39 | 268 | 41.7 | |
| 40–49 | 142 | 22.1 | |
| 50–59 | 55 | 8.5 | |
| Total | 643 | 100 | |
| Professional Field | Operations and Supply Chain Management | 49 | 07.62 |
| Marketing and Sales | 71 | 11.04 | |
| Medicine and Surgery | 19 | 02.96 | |
| Law | 32 | 04.98 | |
| Other Sciences | 118 | 18.35 | |
| Psychology | 42 | 06.53 | |
| Engineering | 62 | 09.64 | |
| Consulting | 31 | 04.82 | |
| Accounting and Finance | 69 | 10.73 | |
| Music and Arts | 91 | 14.15 | |
| Academic | 38 | 05.90 | |
| Others | 21 | 03.27 | |
| Total | 643 | 100 | |
| Work Experience | Under 10 years | 62 | 30.7 |
| 10–20 years | 106 | 52.5 | |
| Above 20 years | 34 | 16.8 | |
| Total | 643 | 100 | |
| Frequency | Percent | ||
|---|---|---|---|
| Gender | Male | 349 | 54.4 |
| Female | 294 | 45.6 | |
| Total | 643 | 100 | |
| Age | 18–29 | 178 | 27.7 |
| 30–39 | 268 | 41.7 | |
| 40–49 | 142 | 22.1 | |
| 50–59 | 55 | 8.5 | |
| Total | 643 | 100 | |
| Professional Field | Operations and Supply Chain Management | 49 | 07.62 |
| Marketing and Sales | 71 | 11.04 | |
| Medicine and Surgery | 19 | 02.96 | |
| Law | 32 | 04.98 | |
| Other Sciences | 118 | 18.35 | |
| Psychology | 42 | 06.53 | |
| Engineering | 62 | 09.64 | |
| Consulting | 31 | 04.82 | |
| Accounting and Finance | 69 | 10.73 | |
| Music and Arts | 91 | 14.15 | |
| Academic | 38 | 05.90 | |
| Others | 21 | 03.27 | |
| Total | 643 | 100 | |
| Work Experience | Under 10 years | 62 | 30.7 |
| 10–20 years | 106 | 52.5 | |
| Above 20 years | 34 | 16.8 | |
| Total | 643 | 100 | |
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