Overview of respondents' demographic characteristics
| ID | Gender | Bachelor | Master |
|---|---|---|---|
| 1 | Female | China | Master in Marketing |
| 2 | Male | China | Master in Mechanical Engineering |
| 3 | Female | China | Master in Civil engineering |
| 4 | Male | China | Master in International Law |
| 5 | Female | China | Master in Data analysis |
| 6 | Female | China | Master in Computer Science |
| 7 | Female | China | Master in Business Administration |
| 8 | Female | China | Master in Computer Science (Big Data) |
| 9 | Female | Thailand | Master in Culture, organization, and management |
| 10 | Female | Netherlands | Master in Business Administration |
| 11 | Female | China | Master in Computer Science |
| 12 | Female | China | Master in Psychology/Sociology |
| 13 | Female | Netherlands | Master in Economics/Finance |
| 14 | Male | Netherlands | Master in Marketing |
| 15 | Female | China | Master in Anthropology/Sociology |
| 16 | Female | UK | Master in Strategy and organization |
| 17 | Female | China | Master in Accounting/Finance |
| 18 | Female | China | Master in International management |
| 19 | Male | Netherlands | Master in Human Resources Management |
| 20 | Male | China | Master in International Management |
| 21 | Male | Netherlands | Master in Finance |
| 22 | Female | China | Master in Food Engineering |
| 23 | Female | Germany | Master in Finance |
| 24 | Female | China | Master in Food Engineering |
| 25 | Female | China | Master in Food/Agriculture |
| 26 | Male | China | Master in Finance and International Management |
| 27 | Female | China | Master in International Law |
| 28 | Female | Israel | Master in Food Engineering |
| 29 | Male | China | Master in Food Engineering |
| 30 | Female | UK | Higher Education/Educational Technology |
| ID | Gender | Bachelor | Master |
|---|---|---|---|
| 1 | Female | China | Master in Marketing |
| 2 | Male | China | Master in Mechanical Engineering |
| 3 | Female | China | Master in Civil engineering |
| 4 | Male | China | Master in International Law |
| 5 | Female | China | Master in Data analysis |
| 6 | Female | China | Master in Computer Science |
| 7 | Female | China | Master in Business Administration |
| 8 | Female | China | Master in Computer Science (Big Data) |
| 9 | Female | Thailand | Master in Culture, organization, and management |
| 10 | Female | Netherlands | Master in Business Administration |
| 11 | Female | China | Master in Computer Science |
| 12 | Female | China | Master in Psychology/Sociology |
| 13 | Female | Netherlands | Master in Economics/Finance |
| 14 | Male | Netherlands | Master in Marketing |
| 15 | Female | China | Master in Anthropology/Sociology |
| 16 | Female | UK | Master in Strategy and organization |
| 17 | Female | China | Master in Accounting/Finance |
| 18 | Female | China | Master in International management |
| 19 | Male | Netherlands | Master in Human Resources Management |
| 20 | Male | China | Master in International Management |
| 21 | Male | Netherlands | Master in Finance |
| 22 | Female | China | Master in Food Engineering |
| 23 | Female | Germany | Master in Finance |
| 24 | Female | China | Master in Food Engineering |
| 25 | Female | China | Master in Food/Agriculture |
| 26 | Male | China | Master in Finance and International Management |
| 27 | Female | China | Master in International Law |
| 28 | Female | Israel | Master in Food Engineering |
| 29 | Male | China | Master in Food Engineering |
| 30 | Female | UK | Higher Education/Educational Technology |
Source(s): Authors’ work
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