Sustaining Innovation: Digital Live Music Models in a Post-COVID-19 Trinidad and Tobago
28 apr 2023
INFORMAZIONI SU QUESTO ARTICOLO
Categoria dell'articolo: Research Article
Pubblicato online: 28 apr 2023
Pagine: 25 - 41
DOI: https://doi.org/10.2478/ijmbr-2023-0005
Parole chiave
© 2023 Farley Joel Joseph, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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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%) |