Multiple regression analysis predicting behavioural intention to use OTT platforms
| Predictor | β | SE | t | p |
|---|---|---|---|---|
| Intercept | 1.23 | 0.19 | 6.53 | 0.000 |
| Perceived usefulness | 0.54 | 0.07 | 8.76 | 0.000 |
| Ease of use | 0.29 | 0.05 | 5.77 | 0.000 |
| Attitude toward use | 0.38 | 0.07 | 6.27 | 0.000 |
| Age 26–35 | −0.07 | 0.08 | −1.14 | 0.255 |
| Age 36–50 | −0.10 | 0.09 | −1.75 | 0.081 |
| Age 51+ | −0.11 | 0.13 | −1.74 | 0.082 |
| Income 3–6L | 0.09 | 0.08 | 1.52 | 0.130 |
| Income 6–10L | 0.13 | 0.09 | 2.28 | 0.023 |
| Income above 10L | 0.17 | 0.10 | 2.91 | 0.004 |
| Predictor | β | SE | ||
|---|---|---|---|---|
| Intercept | 1.23 | 0.19 | 6.53 | 0.000 |
| Perceived usefulness | 0.54 | 0.07 | 8.76 | 0.000 |
| Ease of use | 0.29 | 0.05 | 5.77 | 0.000 |
| Attitude toward use | 0.38 | 0.07 | 6.27 | 0.000 |
| Age 26–35 | −0.07 | 0.08 | −1.14 | 0.255 |
| Age 36–50 | −0.10 | 0.09 | −1.75 | 0.081 |
| Age 51+ | −0.11 | 0.13 | −1.74 | 0.082 |
| Income 3–6L | 0.09 | 0.08 | 1.52 | 0.130 |
| Income 6–10L | 0.13 | 0.09 | 2.28 | 0.023 |
| Income above 10L | 0.17 | 0.10 | 2.91 | 0.004 |
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