How Do Tourists’ Value Perceptions of Food Experiences Influence Their Perceived Destination Image and Revisit Intention? A Moderated Mediation Model
Abstract
:1. Introduction
2. Literature Review and Development of Hypotheses
2.1. Tourists’ Value Perception of Food Experiences
2.2. Relationship between Tourists’ Value Perception of Food Experiences, Perceived Destination Image, and Revisit Intention
2.3. The Moderating Role of Gender
3. Materials and Methods
3.1. Description of the Research Case
3.2. Questionnaire Design
3.3. Data Collection and Analysis
4. Results
4.1. Sample Profile
4.2. Measurement Model Testing
4.2.1. Reliability Test and CFA
4.2.2. Validity Test
4.3. Structural Model and Hypotheses Testing
4.3.1. Hypotheses Tests
4.3.2. The Mediating Role of Perceived Destination Image
4.3.3. The Moderating Role of Gender
5. Discussion
5.1. Theoretical Implications
5.2. Practical Implications
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Frequency (n = 458) | Percentage (%) | ||
---|---|---|---|
Gender | Male | 232 | 50.7 |
Female | 226 | 49.3 | |
Age | 18 to 22 years | 79 | 17.2 |
23 to 35 years | 144 | 31.4 | |
36 to 45 years | 105 | 22.9 | |
46 to 55 years | 75 | 16.4 | |
56 to 65 years | 41 | 9.0 | |
Over 65 years | 14 | 3.1 | |
Education | High school or below | 60 | 13.1 |
Associate degree | 148 | 32.3 | |
Bachelor’s degree | 206 | 45.0 | |
Master’s degree or above | 44 | 9.6 | |
Occupation | Company employee | 201 | 43.9 |
Self-employment or owner | 60 | 13.1 | |
Student | 76 | 16.6 | |
Government official | 49 | 10.7 | |
Professional, teacher, or technical | 39 | 8.5 | |
Personnel in farming, forestry, livestock, or fishing | 19 | 4.1 | |
Other | 14 | 3.1 | |
Personal monthly income (CNY) | Less than 3000 | 87 | 19.0 |
3001–4500 | 13 | 2.8 | |
4501–6000 | 74 | 16.2 | |
6001–7500 | 165 | 36.0 | |
7501–10,000 | 82 | 17.9 | |
10,001–15,000 | 23 | 5.0 | |
More than 15,000 | 14 | 3.1 |
Variables | Mean (SD) | Factor Loading | CR | AVE | Cronbach’s α |
---|---|---|---|---|---|
Functional value (FV) | 0.832 | 0.554 | 0.831 | ||
It is convenient | 3.50 (1.15) | 0.74 | |||
The service is quick. | 3.48 (1.10) | 0.73 | |||
There is a variety of menu choice. | 3.48 (1.06) | 0.72 | |||
The food portion is enough to satisfy my hunger. | 3.53 (1.04) | 0.78 | |||
Social value (SV) | 0.865 | 0.681 | 0.864 | ||
Having the food in Nanjing Impressions obtain social approval. | 3.36 (1.15) | 0.78 | |||
Many people that I know used to go to the restaurant. | 3.29 (1.20) | 0.86 | |||
The customers in the restaurant or having the food have certain level and style. | 3.32 (1.11) | 0.84 | |||
Emotional value (EmV) | 0.880 | 0.646 | 0.879 | ||
The foods in the restaurant can make me feel happy | 3.56 (1.21) | 0.83 | |||
The foods in the restaurant can give me pleasure. | 3.49 (1.15) | 0.77 | |||
The foods in the restaurant make me feel excited. | 3.45 (1.11) | 0.79 | |||
The foods in the restaurant make me crave it. | 3.53 (1.20) | 0.83 | |||
Epistemic value (EpV) | 0.853 | 0.660 | 0.852 | ||
I want to seek out more information about foods in Nanjing. | 3.64 (1.05) | 0.77 | |||
I want to try more diverse foods in Nanjing | 3.64 (1.06) | 0.86 | |||
It is a good opportunity for me to learn something new about the food in Nanjing. | 3.61 (1.06) | 0.80 | |||
Cultural value (CuV) | 0.907 | 0.583 | 0.907 | ||
It enables me to learn what this local food tastes like. | 3.58 (1.14) | 0.76 | |||
It provides authentic experience. | 3.50 (1.13) | 0.73 | |||
It helps me see how local people live. | 3.43 (1.04) | 0.76 | |||
It makes me see the things that I don’t normally see. | 3.50 (1.06) | 0.73 | |||
It offers a unique opportunity to understand local cultures. | 3.45 (1.08) | 0.71 | |||
It provides special dining experience in its traditional setting. | 3.46 (1.06) | 0.80 | |||
It gives me an opportunity to increase my knowledge about different cultures. | 3.47 (1.12) | 0.86 | |||
Health value (HV) | 0.885 | 0.659 | 0.885 | ||
The foods in the restaurant are hygienic. | 3.59 (1.02) | 0.83 | |||
The foods in the restaurant are safe. | 3.72 (1.11) | 0.81 | |||
The foods and restaurant make me healthy. | 3.62 (1.09) | 0.80 | |||
The foods in the restaurant can provide me with good nutrition. | 3.66 (1.07) | 0.80 | |||
Conditional value (CoV) | 0.890 | 0.802 | 0.886 | ||
I would try the Nanjing salted duck | 3.49 (1.07) | 0.95 | |||
I would try the vermicelli cooked with duck blood | 3.53 (1.09) | 0.84 | |||
Perceived destination image (PDI) | 0.925 | 0.607 | 0.925 | ||
Nanjing is a city full of opportunity for adventure | 3.64 (1.04) | 0.78 | |||
Nanjing is rich in exciting nightlife and entertainment | 3.68 (1.02) | 0.77 | |||
Nanjing is relaxing | 3.66 (1.07) | 0.78 | |||
Nanjing is pleasant | 3.78 (1.05) | 0.80 | |||
The residents of Nanjing are friendly and trustworthy | 3.69 (1.03) | 0.78 | |||
The residents of Nanjing are communicative | 3.72 (1.03) | 0.79 | |||
Nanjing is very safe | 3.67 (1.01) | 0.78 | |||
Nanjing has attractive tourist sightseeings and activities | 3.67 (0.97) | 0.74 | |||
Revisit intention (RI) | 0.858 | 0.669 | 0.857 | ||
I’d love to come to Nanjing again | 3.81 (1.02) | 0.86 | |||
I will come back to Nanjing in near future | 3.77 (1.00) | 0.79 | |||
I will encourage family and friends to visit Nanjing | 3.71 (1.00) | 0.80 |
Model | χ2/df (<3) | GFI (>0.9) | RMSEA (<0.10) | RMR (<0.05) | CFI (>0.9) | NFI (>0.9) | NNFI (>0.9) |
---|---|---|---|---|---|---|---|
Nine factors (A, B, C, D, E, F, G, H, I) | 1.143 | 0.926 | 0.018 | 0.031 | 0.991 | 0.935 | 0.990 |
Eight factors (A + B, C, D, E, F, G, H, I) | 2.073 | 0.865 | 0.048 | 0.058 | 0.934 | 0.880 | 0.927 |
Seven factors (A + B + C, D, E, F, G, H, I) | 3.075 | 0.780 | 0.067 | 0.078 | 0.870 | 0.820 | 0.859 |
Six factors (A + B + C + D, E, F, G, H, I) | 3.884 | 0.744 | 0.079 | 0.089 | 0.818 | 0.771 | 0.803 |
Five factors (A + B + C + D + E, F, G, H, I) | 5.065 | 0.660 | 0.094 | 0.115 | 0.742 | 0.699 | 0.723 |
Four factors (A + B + C + D + E + F, G, H, I) | 6.149 | 0.609 | 0.106 | 0.119 | 0.671 | 0.632 | 0.649 |
Three factors (A + B + C + D + E + F + G, H, I) | 6.792 | 0.595 | 0.113 | 0.123 | 0.628 | 0.592 | 0.605 |
Two factors (A + B + C + D + E + F + G + H, I) | 7.509 | 0.568 | 0.119 | 0.125 | 0.581 | 0.547 | 0.556 |
One factor (A + B + C + D + E + F + G + H + I) | 7.567 | 0.567 | 0.120 | 0.125 | 0.577 | 0.543 | 0.552 |
Hypothesis Paths | Estimate | S.E. | t | p | Results |
---|---|---|---|---|---|
H1a: FV ⟶ PDI | 0.387 | 0.048 | 7.186 | *** | Supported |
H1b: SV ⟶ PDI | 0.163 | 0.032 | 4.300 | *** | Supported |
H1c: EmV ⟶ PDI | 0.178 | 0.037 | 3.953 | *** | Supported |
H1d: EpV ⟶ PDI | 0.054 | 0.038 | 1.375 | 0.168 | Not supported |
H1e: CuV ⟶ PDI | 0.213 | 0.037 | 4.817 | *** | Supported |
H1f: HV ⟶ PDI | 0.136 | 0.042 | 3.170 | 0.001 ** | Supported |
H1g: CoV ⟶ PDI | 0.047 | 0.033 | 1.301 | 0.192 | Not supported |
H2a: FV ⟶ RI | 0.244 | 0.047 | 5.012 | *** | Supported |
H2b: SV ⟶ RI | 0.103 | 0.029 | 3.196 | 0.001 ** | Supported |
H2c: EmV ⟶ RI | 0.128 | 0.033 | 3.341 | *** | Supported |
H2d: EpV ⟶ RI | 0.031 | 0.034 | 0.969 | 0.331 | Not supported |
H2e: CuV ⟶ RI | 0.081 | 0.033 | 2.173 | 0.029 * | Supported |
H2f: HV ⟶ RI | 0.106 | 0.038 | 2.966 | 0.003 ** | Supported |
H2g: CoV ⟶ RI | 0.048 | 0.029 | 1.608 | 0.107 | Not supported |
H3: DI ⟶ RI | 0.484 | 0.061 | 8.542 | *** | Supported |
Hypothesis Paths | Point Estimate | Product of Coefficients | Bias-Corrected 95% CI | Percentile 95% CI | |||
---|---|---|---|---|---|---|---|
SE | Z (≥1.96) | Lower | Upper | Lower | Upper | ||
H4a: FV ⟶ PDI ⟶ RI | 0.214 | 0.043 | 4.977 | 0.119 | 0.263 | 0.115 | 0.257 |
H4b: SV ⟶ PDI ⟶ RI | 0.080 | 0.023 | 3.478 | 0.037 | 0.121 | 0.034 | 0.113 |
H4c: EmV ⟶ PDI ⟶ RI | 0.076 | 0.022 | 3.455 | 0.037 | 0.128 | 0.034 | 0.123 |
H4d: EpV ⟶ PDI ⟶ RI | 0.028 | 0.022 | 1.273 | −0.012 | 0.075 | −0.015 | 0.072 |
H4e: CuV ⟶ PDI ⟶ RI | 0.106 | 0.027 | 3.926 | 0.051 | 0.148 | 0.047 | 0.142 |
H4f: HV ⟶ PDI ⟶ RI | 0.065 | 0.026 | 2.500 | 0.023 | 0.137 | 0.017 | 0.127 |
H4g: CoV ⟶ PDI ⟶ RI | 0.019 | 0.016 | 1.188 | −0.011 | 0.057 | −0.014 | 0.055 |
Model | χ2 | df | χ2/df (<2.00) | p | TLI (>0.90) | CFI (>0.90) | IFI (>0.90) | RMSEA (<0.05) | AIC | ECVI |
---|---|---|---|---|---|---|---|---|---|---|
Unconstrained | 1515.574 | 1258 | 1.205 | 0.000 | 0.972 | 0.975 | 0.976 | 0.021 | 1963.574 | 4.306 |
Measurement weights | 1552.156 | 1287 | 1.206 | 0.000 | 0.972 | 0.974 | 0.975 | 0.021 | 1942.156 | 4.259 |
Structural weights | 1648.182 | 1302 | 1.266 | 0.000 | 0.964 | 0.967 | 0.967 | 0.024 | 2008.182 | 4.404 |
Structural residuals | 1884.074 | 1332 | 1.414 | 0.000 | 0.944 | 0.947 | 0.947 | 0.030 | 2185.374 | 4.792 |
Measurement residuals | 1972.204 | 1370 | 1.44 | 0.000 | 0.94 | 0.942 | 0.942 | 0.031 | 2184.074 | 4.79 |
Model | Δχ2 | Δdf | p | ΔNFI | ΔRFI | ΔIFI | ΔTLI | ΔCFI | ΔGFI | ΔAGFI |
---|---|---|---|---|---|---|---|---|---|---|
Measurement weights | 36.582 | 29 | 0.160 | −0.003 | 0.000 | −0.001 | 0.000 | −0.001 | −0.003 | 0.000 |
Structural weights | 132.608 | 44 | 0.000 | −0.011 | −0.007 | −0.009 | −0.008 | −0.008 | −0.010 | −0.006 |
Structural residuals | 368.500 | 74 | 0.000 | −0.031 | −0.025 | −0.029 | −0.028 | −0.028 | −0.026 | −0.020 |
Measurement residuals | 456.630 | 112 | 0.000 | −0.039 | −0.028 | −0.034 | −0.032 | −0.033 | −0.032 | −0.021 |
Hypothesis Paths | Male Group | Female Group | |CRD| | ||||
---|---|---|---|---|---|---|---|
Estimate | t | p | Estimate | t | p | ||
H5a: FV ⟶ PDI | 0.459 | 6.036 | *** | 0.163 | 2.448 | 0.014 * | 3.334 |
H5b: SV ⟶ PDI | 0.220 | 3.422 | *** | 0.061 | 1.299 | 0.194 | 2.280 |
H5c: EmV ⟶ PDI | 0.093 | 1.812 | 0.070 | 0.185 | 2.241 | 0.025 * | 0.822 |
H5d: EpV ⟶ PDI | 0.161 | 2.658 | 0.008 ** | −0.064 | −1.358 | 0.174 | 2.937 |
H5e: CuV ⟶ PDI | 0.090 | 1.785 | 0.074 | 0.263 | 3.102 | 0.002 ** | 1.613 |
H5f: HV ⟶ PDI | 0.022 | 0.427 | 0.669 | 0.367 | 3.705 | *** | 3.264 |
H5g: CoV ⟶ PDI | 0.150 | 2.818 | 0.005 ** | −0.073 | −1.57 | 0.116 | 3.168 |
H6a: FV ⟶ RI | 0.216 | 2.766 | 0.006 ** | 0.244 | 4.245 | *** | 0.310 |
H6b: SV ⟶ RI | 0.169 | 2.859 | 0.004 ** | 0.045 | 1.157 | 0.247 | 1.843 |
H6c: EmV ⟶ RI | 0.075 | 1.641 | 0.101 | 0.151 | 2.202 | 0.028 * | 0.944 |
H6d: EpV ⟶ RI | 0.108 | 1.99 | 0.047 * | −0.029 | −0.75 | 0.453 | 2.039 |
H6e: CuV ⟶ RI | −0.005 | −0.111 | 0.912 | 0.233 | 3.265 | 0.001 ** | 2.840 |
H6f: HV ⟶ RI | 0.050 | 1.111 | 0.267 | 0.21 | 2.387 | 0.017 * | 1.869 |
H6g: CoV ⟶ RI | 0.101 | 2.079 | 0.038 * | 0.019 | 0.486 | 0.627 | 1.377 |
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Zhu, Y.; Zhu, L.; Weng, L. How Do Tourists’ Value Perceptions of Food Experiences Influence Their Perceived Destination Image and Revisit Intention? A Moderated Mediation Model. Foods 2024, 13, 412. https://doi.org/10.3390/foods13030412
Zhu Y, Zhu L, Weng L. How Do Tourists’ Value Perceptions of Food Experiences Influence Their Perceived Destination Image and Revisit Intention? A Moderated Mediation Model. Foods. 2024; 13(3):412. https://doi.org/10.3390/foods13030412
Chicago/Turabian StyleZhu, Yijin, Liqun Zhu, and Lisheng Weng. 2024. "How Do Tourists’ Value Perceptions of Food Experiences Influence Their Perceived Destination Image and Revisit Intention? A Moderated Mediation Model" Foods 13, no. 3: 412. https://doi.org/10.3390/foods13030412
APA StyleZhu, Y., Zhu, L., & Weng, L. (2024). How Do Tourists’ Value Perceptions of Food Experiences Influence Their Perceived Destination Image and Revisit Intention? A Moderated Mediation Model. Foods, 13(3), 412. https://doi.org/10.3390/foods13030412