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Food consumption value in tourism: an integrative discussion and its impact on post-purchase behavior

Jingjing Guan et al.

Journal of Foodservice Business Research2026https://doi.org/10.1080/15378020.2026.2625127article
AJG 1ABDC C
Weight
0.50

What the paper says

This study proposes a comprehensive framework for assessing the value of local food consumption in the context of tourism by integrating trade-off, experiential, and dynamic perspectives from consumer value theory. A multidimensional construct termed Desired Food Consumption Value in Tourism (D-FCVT) was developed, incorporating a new value perspective—sustainable value, which reflects the experiential approach. This study investigates a novel model using data (n = 897) collected in Hangzhou, China. The model analyzes how the benefit variable (i.e., D-FCVT) and sacrifice variables influence Perceived Food Consumption Value in Tourism (P-FCVT), testing the trade-off effects among these factors. Additionally, the model captures the dynamic nature of food consumption value by incorporating individual food preferences, product characteristics, and tourism-specific contextual factors. The study contributes to the understanding of the value of local food consumption and clarifies the theoretical and empirical relationships between them.

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https://doi.org/https://doi.org/10.1080/15378020.2026.2625127

Or copy a formatted citation

@article{jingjing2026,
  title        = {{Food consumption value in tourism: an integrative discussion and its impact on post-purchase behavior}},
  author       = {Jingjing Guan et al.},
  journal      = {Journal of Foodservice Business Research},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/15378020.2026.2625127},
}

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Food consumption value in tourism: an integrative discussion and its impact on post-purchase behavior

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.