| seasonality changes | N | Strongly Disagree | Disagree | Average | Agree | Strongly Agree | Mean | Std. Deviation |
| Statistic | Statistic | Statistic | ||||||
| Hotel experiences low and peak customer seasons | 137 | 0% | 4.4% | 28.5% | 31.4% | 35.8% | 3.99 | 0.907 |
| Hotel is not affected by seasonal fluctuations of clients | 137 | 0% | 0.7% | 23.4% | 32.8% | 43.1% | 4.18 | 0.815 |
| Hotel can be able to predict seasonal fluctuations | 137 | 0% | 3.6% | 25.5% | 48.2% | 22.6% | 3.90 | 0.789 |
| Seasonal fluctuations of clients affects bookings/reservations of this hotel heavily | 137 | 10.9% | 19.7% | 23.4% | 17.5% | 28.5% | 3.33 | 1.362 |
| Technological changes | ||||||||
| Hotel has adopted technological innovations in its operations | 137 | 0% | 0% | 21.9% | 46.0% | 32.1% | 4.31 | 2.656 |
| Technological changes have improved operations in this hotel | 137 | 0% | 2.9% | 21.2% | 51.8% | 24.1% | 3.97 | 0.757 |
| Technological innovations adopted are vital in gathering information | 137 | 1.5% | 4.4% | 24.1% | 49.6% | 20.4% | 3.83 | 0.854 |
| The innovations are used in trailing prices | 137 | 0% | 5.1% | 30.7% | 41.6% | 22.6% | 3.82 | 0.842 |
| The innovations are used in forecasting | 137 | 0.7% | 8.0% | 22.6% | 46.0% | 22.6% | 3.82 | 0.901 |
| Technological changes have increased hotel efficiency | 137 | 2.2% | 7.3% | 24.1% | 33.6% | 32.8% | 3.88 | 1.025 |
| Valid N (listwise) | 137 |
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