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Sustaining Innovation: Digital Live Music Models in a Post-COVID-19 Trinidad and Tobago


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Figure 1.

Potential model for digital live music showcase and monetisation.
Potential model for digital live music showcase and monetisation.

Figure 2.

Bar chart: employment sector.
Bar chart: employment sector.

Figure 3.

Pie chart: participant with digital subscriptions.
Pie chart: participant with digital subscriptions.

Figure 4.

Pie chart: devices used to view livestreams.
Pie chart: devices used to view livestreams.

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?

Descriptive stats

Cross-tabulations

RQ2: Are there differences in spending on online concerts in relation to payment methods?

Bartlett’s test

One-way ANOVA

RQ3: How does incorporating AR, video game features and on-demand business models influence monetisation of online concerts in T&T?

Binomial logistic regression analysis

LinkTest

Hosmer-Lemeshow test

Spearman’s ρ

VIF

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%)