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EnglishThis paper is rooted in network science and contributes to filling two gaps, developing multiple case studies in order i) to measure the complex structure of tourism destination and ii) to explore its evolution over time, by mapping turning points. The findings put forward ten new analyses, allowing the research team to test two hypotheses: i) concerning the complex structure, the tendency of tourism destinations to remain far from the chaos threshold, ii) concerning turning points, the ability of different destinations to show also different evolution through time. The paper uses the Horizontal Visibility Graph Algorithm and applies it to a sample of ten tourism destinations in the second leading Italian tourism region per size: Trentino-Alto Adige. Findings confirm both hypotheses. Limitations and research implications are drawn.
Complexity traits and dynamics of tourism destinations, 2017-07.
| Autori: | Sainaghi, Ruggero; Baggio, Rodolfo |
| Data di pubblicazione: | lug-2017 |
| Titolo: | Complexity traits and dynamics of tourism destinations |
| Rivista: | |
| Editore: | Elsevier |
| Volume: | 63 |
| Pagina iniziale: | 368 |
| Pagina finale: | 382 |
| Numero di pagine: | 15 |
| Revisione (peer review): | esperti anonimi |
| IF: | con ISI Impact Factor |
| Rilevanza: | internazionale |
| Lingua: | English |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.tourman.2017.07.004 |
| Settore Scientifico Disciplinare: | Settore SECS-P/07 - Economia Aziendale |
| Keywords: | Complex systems; Time series; Horizontal visibility graph algorithm; Turning points; Multiple case studies |
| Abstract: | This paper is rooted in network science and contributes to filling two gaps, developing multiple case studies in order i) to measure the complex structure of tourism destination and ii) to explore its evolution over time, by mapping turning points. The findings put forward ten new analyses, allowing the research team to test two hypotheses: i) concerning the complex structure, the tendency of tourism destinations to remain far from the chaos threshold, ii) concerning turning points, the ability of different destinations to show also different evolution through time. The paper uses the Horizontal Visibility Graph Algorithm and applies it to a sample of ten tourism destinations in the second leading Italian tourism region per size: Trentino-Alto Adige. Findings confirm both hypotheses. Limitations and research implications are drawn. |
| Numero degli autori: | 2 |
| Supporto: | A stampa |
| Data di accettazione: | lug-2017 |
| Appare nelle tipologie: | 1.01 Articolo in rivista |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| 10_Sainaghi_Baggio_TM_2017.pdf | Manuscript | N/A | Administrator |
http://hdl.handle.net/10808/24124
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