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Record W2787114595

Turismo colaborativo: Un nuevo modelo de negocios en el rubro de la alimentación brasileña

2018· article· es· W2787114595 on OpenAlexaff
Cibele Lopes Souto Maior-Cabanne, Maria Conceição Melo Silva Luft, Aline França de Abreu

Bibliographic record

VenueEstudios y perspectivas en turismo · 2018
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicSharing Economy and Platforms
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTourismHumanitiesPolitical scienceGeographyBusinessArt
DOInot available

Abstract

fetched live from OpenAlex

espanolLas plataformas de Turismo Colaborativo permiten que los turistas obtengan a traves de los individuos comunes los bienes y servicios que necesitan. Este nuevo modelo economico ha conquistado un numero cada vez mayor de personas en todo el mundo, incomodando a las empresas tradicionales del sector. En Brasil el Turismo Colaborativo se torno aun mas atractivo gracias a las condiciones desfavorables de la economia, significando una fuente alternativa de ingresos para aquellos que desean alquilar sus activos ociosos a los turistas o reducir los costos de quienes viajan. Inmersa en este contexto, esta investigacion tiene como objetivo analizar el modelo de negocio de Dinneer, una plataforma brasilena de Turismo Colaborativo del ramo de la alimentacion en base al framework Business Model Canvas. Dicha empresa fue elegida para esta investigacion debido a su exclusividad en el mercado, ya que es la unica que provee el servicio de compartir una comida (el turista participa de una comida exclusiva en la casa de un chef). Por lo tanto, se pretende contribuir con la revelacion de la diversidad de negocios de la Economia Colaborativa, un fenomeno en ascenso que demanda mayor exploracion academica EnglishCollaborative Tourism. The Emergence of a New Business Model in the Brazilian Food Branch. Collaborative Tourism platforms enable tourists to obtain the goods and services they require from ordinary people. This new economic model has been conquering an increasing number of people around the world and, consequently, bothering the traditional companies of the industry. In Brazil, Collaborative Tourism is even more attractive because of the unfavorable economic conditions, meaning an alternative source of income for those who offer their own idle assets for tourists or even a reduction of costs for those who travel. Immersed in this context, this research aims to analyze the business model of Dinneer, a Brazilian Collaborative Tourism platform in the food branch, based on the Business Model Canvas. Such a company was chosen for this investigation because of its exclusivity in the market: it is the only one that provides a meal sharing service wherewith the tourist participates of an exclusive meal in a chef’s house. Therefore, it is intended to contribute to a revelation of the diversity of business of the Collaborative Economy, an emerging phenomenon that demands greater academic exploration

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.266
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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