Understanding tourist-host interactions and their influence on quality tourism experiences
Notice bibliographique
Résumé
In response to the rise in visitor harassment in tourist destinations, there is a need to further our understanding of its impacts on the tourist experience. The purpose of this study was to understand tourist-host interactions in the context of harassment and its influence on overall quality of the tourism experience. Tourist attitudes towards hosts is an under researched topic in the academic literature. Thus, this thesis makes use of the social exchange theory, tourism development cycles, and the concept of segmentation (traditionally used to explain residents’ attitudes towards tourism/tourists), to help understand tourists’ attitudes towards hosts. Similarly, there are few studies that investigate tourist harassment by local people. Tourists’ attitudes towards the local people of Jamaica and the island itself were examined generally, and then with reference to the host behavior towards tourists and its potential for causing dissatisfaction with the overall quality of the tourism experience.\nThis thesis utilized mixed methods in the form of surveys (quantitative data) and event-logs (qualitative data) to explore harassments impact on tourists’ perceptions, attitudes, and experiences. Data was collected on the island of Jamiaca, in Montego Bay and Negril. A total of 209 surveys were collected and 15 events were logged via BlackBerries over a weekend period. Both methodological approaches were employed during participants’ tourism experience, with the intent to capture their “in the moment” attitudinal responses towards the island, the local people, and the behavior of harassment.\nResults suggest that nearly 59% of participants experienced harassment, most often in the form of pestering vendors, and taking place on the street. Generally, participants’ attitudes towards the island of Jamaica and local people were positive. Although, when harassed and non-harassed participants were compared, those who were harassed expressed slightly more negative views. These negative views however, did not deter the majority of harassed participants from recommending or returning to Jamaica in the future. The findings of the present study raised important implications for tourism managers, operators, and planners, as harassment, although deemed an annoying local behavior, did not appear to negatively impact participants' tourism experience of Jamaica. Furthermore, this tehsis advocates the need for continued research on the topics of visitor harassment and host-guest interactions, specifically hosts ability to influence the quality of tourists’ experiences.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,005 | 0,001 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».