Table 1. Study participants Participant... | Emerald Publishing

Table 1.

Study participants

Participant number	Gender	Age	Technology sector/area	Prior founding experience? (total number of startups)
1	Male	40–50	IoT and telematics	Yes (2)
2	Male	30–40	Business intelligence app	Yes (2)
3	Male	40–50	High-tech solution for education	Yes (4)
4	Female	20–30	E-commerce technology	No (1)
5	Male	40–50	Materials innovation	Yes (2)
6	Male	40–50	Mobility technology	Yes (3)
7	Female	30–40	Food industry technology	No (1)
8	Male	20–30	Financial technology	Yes (2)
9	Male	30–40	IoT and telematics	No (1)
10	Male	30–40	Information technology	Yes (5)
11	Male	40–50	Materials innovation	No (1)
12	Female	20–30	AI-Driven automation technology	Yes (2)

Participant number	Gender	Age	Technology sector/area	Prior founding experience? (total number of startups)
1	Male	40–50	IoT and telematics	Yes (2)
2	Male	30–40	Business intelligence app	Yes (2)
3	Male	40–50	High-tech solution for education	Yes (4)
4	Female	20–30	E-commerce technology	No (1)
5	Male	40–50	Materials innovation	Yes (2)
6	Male	40–50	Mobility technology	Yes (3)
7	Female	30–40	Food industry technology	No (1)
8	Male	20–30	Financial technology	Yes (2)
9	Male	30–40	IoT and telematics	No (1)
10	Male	30–40	Information technology	Yes (5)
11	Male	40–50	Materials innovation	No (1)
12	Female	20–30	AI-Driven automation technology	Yes (2)