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Record W4393322786 · doi:10.32782/bses.85-25

FOREIGN EXPERIENCE IN DEVELOPING STRATEGIES FOR THE DEVELOPMENT OF THE HOSPITALITY AND TOURISM INDUSTRY

2024· article· en· W4393322786 on OpenAlexaboutno aff
Олександр Вікторович Коваленко, А. В. Новікова

Bibliographic record

VenueBlack Sea Economic Studies · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Business Development Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsTourismHospitalityHospitality industryBusinessSustainable developmentMarketingWork (physics)Sustainable tourismHospitality management studiesTourism geographyDestinationsEcotourismNatural resourcePolitical scienceEngineering

Abstract

fetched live from OpenAlex

In this work, the authors analyzed the foreign experience of developing strategies for the development of the hospitality and tourism industry, and also implemented the task of comparing the features of the development of strategies for the development of the hospitality and tourism industry in foreign countries, using the example of Finland, Turkey, and Canada, and in further scientific research to adapt the main provisions for improvement methods of developing a strategy for the development of the hospitality and tourism industry in our country. It is now clearly recognized that the hospitality and tourism industry needs to develop on a sustainable and managed basis. The authors of the work note that the application of a strategic approach to the development of the hospitality and tourism industry based on the theory of sustainable development will allow to significantly reduce the negative consequences between the need to satisfy the demand for tourist services, which is constantly growing, and a small amount of natural, anthropogenic, as well as material resources, irrational use which leads to deterioration of ecology and environment in tourist destinations. The article emphasizes the fact that the governments of many countries today pay a lot of attention to the formation of strategies for the development of regions, in particular, strategies for the development of the hospitality and tourism industry. The work also states that a properly developed strategy will increase the efficiency of the hospitality and tourism industry, both in the state as a whole and in its individual regions. The article also states that the analysis of foreign strategies for the development of the hospitality and tourism industry showed that in modern conditions it is impossible to develop the hospitality and tourism industry without a program for its development and effective functioning. In the studied countries, the income from the hospitality and tourism industry occupies a significant part of the gross product, which speaks of the effectiveness of the developed and applied development strategies.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.121
GPT teacher head0.303
Teacher spread0.183 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2024
Admission routes1
Has abstractyes

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