Figure 1.

Figure 2.

Figure 3.

Figure 4.

Classification of research questions and analysis techniques
| Research question | Tests | 
|---|---|
| RQ1: What are the customer profiles for online concerts emerging out of the COVID-19 pandemic in T&T? | 
  | 
| RQ2: Are there differences in spending on online concerts in relation to payment methods? | 
  | 
| RQ3: How does incorporating AR, video game features and on-demand business models influence monetisation of online concerts in T&T? | 
  | 
Cross-tabulation: fans who financially supported livestreams, classified by age
| Age (years) | 18–24 | 25–34 | 35–44 | 45–55 | 55–64 | 65 | Total | 
|---|---|---|---|---|---|---|---|
| Supported financially | 17 (8%) | 76 (38%) | 39 (19%) | 9 (4%) | 6 (3%) | 1 (1%) | 148 (73%) | 
| Did not support financially | 7 (3%) | 21 (10%) | 22 (11%) | 4 (2%) | 2 (1%) | 0 (0%) | 56 (27%) | 
| Total | 24 (11%) | 97 (48%) | 61 (30%) | 13 (6%) | 8 (4%) | 1 (1%) | 204 (100%) | 
Cross-tabulation: payment method by fans making financial contributions_
| Payment method | Made financial contributions | 
|---|---|
| Bank transfer | 63 (43%) | 
| Cash | 16 (11%) | 
| Credit card | 47 (32%) | 
| SMS | 22 (15%) | 
| Total | 148 (100%) |