Profiling food festivals by type, name and descriptive content
A population level study
Bibliographic Data
| ID | 21296559 |
|---|---|
| Authors | Muhammet Kesgin (0000-0003-0980-6708, Rochester Institute of Technology), Rajendran Murthy (0000-0002-6492-462X, Rochester Institute of Technology), Rick Lagiewski (0000-0003-2863-3654, Rochester Institute of Technology) |
| Year | 2022 |
| Volume | 124 |
| Issue | 2 |
| Pages | 530-549 |
| Publication date | 2022-01-14 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | British Food Journal (JOURNAL) |
| Journal identifiers | ISSN: 0007-070X • E-ISSN: 1758-4108 |
| Publisher | Emerald (PUBLISHER) |
| DOI | 10.1108/bfj-04-2021-0412 |
| OpenAlex | W3216202514 |
| Language | EN |
| Citations received | 2 |
| References cited | 54 |
Purpose This research aims to classify and describe food festivals and examine the patterns in food festival naming and festival descriptions in online media. Design/methodology/approach This research represents the first population-level empirical examination of food festivals in the United States using a purpose-built dataset ( N = 2,626). Methodology includes text mining to examine food festival communications. Findings Food festival size varies across local and regional spheres within the country. Food festivals employ geographical (place-, destination-based) associations in their names. Food festivals' descriptions and online communications showcase a welcoming environment predominantly emphasizing family-oriented and live entertainment experiences. Food festivals across the country show common naming patterns based on the elements of longevity, recurrence, location name, brand name, geographic scope, theme, and occasion. Originality/value The study makes an original contribution to the theory and practice by identifying festival forms, styles, functions, and their diversity. A population level examination of food festivals does not currently exist. Therefore, this research will serve as a foundation for scholarly work in the future and as a benchmark for evaluating current and future research
Advertising · Business · Diversity (politics) · Entertainment · Geography · Originality · Political science · Population · Profiling (computer programming) · Scope (computer science) · Social science · Sociology · Computer Science · Culinary Culture and Tourism · Demography · Marketing · Media, Gender, and Advertising · Sport and Mega-Event Impacts
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| Citations per year | 0.5 |
|---|---|
| Citation span | 2022 - 2026 (5) |
| Highly cited | No |