Methodological Aspects of Strategic Management of Financial Risks during Construction of Hotel Business Objects
Bibliographic record
Abstract
The article substantiates the actuality of strategic management of financial risks during construction of hotel business objects. Two main strategies of hotel business development are described: strategy of geographical expansion, based on the active entering the new markets by means of starting the larger number of standard hotels, and focused geographical strategy which supposes lower growth rates, as the growth is achieved by means of increasing the number of hotels with unique and first-class service and unmatched atmosphere. Financial risks are viewed in the article as many-aspect notion, depending on multiple factors of external and internal environment of a hotel enterprise. It is substantiated that formation of financial and economic model of risks management should be based on a complex approach to the analysis of the environment of organization functioning. At that, a special attention in these models should be paid to the risks related to financing of investment projects and evaluation of their cost. The authors offer and describe the strategy of hotel business development with implementation of targeted function of management – cost increase. This model allows determining the directions of hotel business cost increase and finding the main vector of development. The showed results of research supplement the existing approaches to strategic management in hotel business and stipulate the formation of methodological instrumentarium which allows minimizing financial risks during construction of hotel business objects. Implementation of well-balanced model of the structure of sources for financing hotel business enterprises will allow determining risks at the stage of construction, evaluating their significance, and developing timely measures for their minimization and liquidation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".