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The Grass is Greener on the Other Side: What Motivates Backpackers to Leave Home and Why They Choose New Zealand as a Destination

2011· dissertation· en· W7047247591 sur OpenAlexaboutno aff

Notice bibliographique

RevueOtago University Research Archive (University of Otago) · 2011
Typedissertation
Langueen
DomainePhysics and Astronomy
ThématiqueLightning and Electromagnetic Phenomena
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTourismDestinationsIdentity (music)Order (exchange)Qualitative researchParticipant observationConsumer behaviourLived experiencePreferenceEthnography
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This research explores why backpackers decide to leave home and why they choose New Zealand specifically as a destination. While there has been some prior research focusing on backpacker motivations, very little has looked at both the backpacker‘s decision to leave home and his/her destination choice. Furthermore, almost no previous research has looked at both aspects together within a New Zealand context. New Zealand is a popular backpacker destination and has a well-established backpacker industry. This makes the findings of this research relevant for the academic literature and for New Zealand‘s backpacker industry and the tourism industry more generally. In this research backpackers were defined as young, long-term budget travellers who emphasise socialising and interacting with locals and other travellers. They travel independently and have flexible itineraries. Semi-structured in-depth interviews with fourteen backpackers were carried out in Queenstown in the South Island of New Zealand in August 2010. The backpackers were aged between nineteen and thirty-four years of age with five coming from England, three from Ireland, two from Canada and one each from Wales, France, Germany and the Netherlands. Six main themes emerged from the interviews to explain why backpackers choose to leave home and go backpacking. The first two relate to the desire to explore the wider world and meet new people; backpackers travel in order to have experiences unavailable at home. The third factor that emerged from the interviews relates to self-development and identity formation and this reflects the findings of previous research. While not necessarily a conscious motivating factor, the backpackers interviewed alluded to a desire for cultural capital. Many of the backpackers had been wanting to travel for a long time and often the decision to go backpacking was related to a lack of commitments at home coinciding with the availability of both time and money with which to travel. Three main themes emerged from the interviews to explain why backpackers specifically choose New Zealand as a destination. Overwhelmingly, the main motivating factor for coming to New Zealand related to the country‘s scenic landscapes. New Zealand is a highly recommended destination and all but one of the backpackers had friends and/or family who had previously visited the country. New Zealand is an extremely popular backpacker destination and the idea of a round-the-world ―backpacker route‖ including Asia, Australia, New Zealand, Fiji and the United States was mentioned by several interview participants. For some of the backpackers interviewed there was no specific reason to come to New Zealand except that it was perceived as a must-see backpacker destination. Somewhat surprisingly, neither Maori culture nor adventure tourism was found to be a motivating factor for backpackers to come to New Zealand. This thesis concludes by emphasising the implications of these research findings for both the academic literature and the New Zealand tourism industry. Suggestions are made regarding issues within backpacker tourism that require further research – particularly those relating to how backpacking is changing and developing in the twenty-first century.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,076
Score d'incertitude au seuil0,150

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0030,002
Communication savante0,0030,002
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

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.

Tête enseignante Opus0,021
Tête enseignante GPT0,241
Écart entre enseignants0,219 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2011
Routes d'admission1
Résumé présentoui

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