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Record W4385700645 · doi:10.55908/sdgs.v11i3.810

Application of Innovative Methods of Managing the Labor Potential in the Hotel and Restaurant Business Establishments

2023· article· en· W4385700645 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Law and Sustainable Development · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLabor Market and Education
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsWorkforceHospitalityBusinessHospitality industryOrder (exchange)MarketingContext (archaeology)ProductivityWork (physics)PaymentEconomicsEconomic growthFinanceTourismEngineering

Abstract

fetched live from OpenAlex

Purpose: The purpose of the academic paper is to study the tendencies and practice of applying innovative methods of managing labor potential in the hotel and restaurant business in changing environmental conditions. Theoretical framework: Considering labor shortages in the hospitality industry and the necessity to attract employees after the pandemic, the EU hospitality and restaurant businesses have been changing their methods of managing the labor workforce. Design/methodology/approach: The research methodology is based on a systematic approach to studying trends and the practice of applying innovative methods of managing labor potential in the context of the external environment’s challenges. Based on the Eurostat panel data for 2020, linear regression models of the dependence between turnovers, employment, and labor productivity in the field of hospitality in EU countries were constructed. Secondary data from interviews with owners of the largest EU hotel chains were used to identify methods of managing labor potential after the pandemic. Findings: The results demonstrate the existence of challenges toward the EU hotel and restaurant chains related to the labor shortage in the conditions of spreading the pandemic, the set of skills and low-skilled migrants. In order to solve the problems outlined, network managers hire and quickly train employees without work experience from various social categories (young people, students, specialists from other sectors, migrants, etc.). Moreover, hotels’ and restaurants’ managers offer employees housing, additional wages, social insurance, bonus payments in order to attract the workforce. Research, Practical & Social implications: The research demonstrates a positive change in the employees’ working conditions in the hospitality industry in the EU states due to the problem of their shortage, which arose with spreading the pandemic and the labor force movement to other economy sectors. Originality/value: The practical value of the research lies in the possibility of using the knowledge about the identified trends of managing labor potential in the EU hospitality industry by small and micro enterprises of the industry.

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.752
Threshold uncertainty score0.160

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.268
Teacher spread0.252 · 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