Hypotheses tested and related outcomes
| Hypothesis tested | Standardized path estimate (significance) | Outcome |
|---|---|---|
| H1. Willingness to avoid Covid-related wine tourism risks negatively affects future wine tourism intentions | −0.386 (0.000)*** | Supported |
| H2. Covid phobia negatively impacts future wine tourism intentions | 0.192 (0.024)** | Path direction not supported; small significant effect found |
| H3. Willingness to avoid Covid-related wine tourism risks mediates the relationship between Covid phobia and FUTWTINTs, producing a complementary mediation | Direct effect 0.192 (0.024)** Specific indirect effect −0.303 (0.000)*** | Path direction not supported; significant effect found |
| H4. Personal involvement with wine positively affects future wine tourism intentions | 0.279 (0.002)*** | Supported |
| H5. Acquired interest in wine during lockdowns positively affects future wine tourism intentions | 0.503 (0.000)*** | Supported |
| H6. Acquired interest in wine during lockdowns mediates the relationship between personal wine involvement and future wine tourism intentions, producing a complementary mediation | Direct effect 0.279 (0.002)*** Specific indirect effect 0.403 (0.000)*** | Supported |
| H7. A reduction of budget available to travel negatively impacts future wine tourism intentions | 0.102 (0.063)* | Not supported |
| H8. A reduction of the time available to travel negatively impacts future wine tourism intentions | −0.159 (0.004)*** | Supported |
| Hypothesis tested | Standardized path | Outcome |
|---|---|---|
| −0.386 (0.000)*** | Supported | |
| 0.192 (0.024)** | Path direction not supported; small significant effect found | |
| Path direction not supported; significant effect found | ||
| 0.279 (0.002)*** | Supported | |
| 0.503 (0.000)*** | Supported | |
| Supported | ||
| 0.102 (0.063)* | Not supported | |
| −0.159 (0.004)*** | Supported |
Notes:
Existing literature exploring travel intentions, including for wine tourism, underlined they can change based, among other things, on socio-demographic factors like gender and age (Li et al., 2019a; Chew and Jahari, 2014; Bruwer and Huang, 2012). Therefore, we have also estimated the model with age and gender as control variables on endogenous constructs in the model, with similar results ( Appendix 3)
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