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Record W215930248

MANAGEMENT COMPETENCIES:ARE THEY RELATED TO HOTEL PERFORMANCE?

2009· article· en· W215930248 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSSRN Electronic Journal · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHospitality and Tourism Education
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsIndex (typography)BusinessMarketingPerformance managementPerformance measurementHotel managementOperations managementEngineeringComputer scienceGeographyTourism
DOInot available

Abstract

fetched live from OpenAlex

This research identified the capabilities used by Canadian hotel general managers during a time of economic stress and examines the relationships between capabilities and hotel performance. The instrument used in this study was the New Zealand Management Capability Index (NZIMCI) and contains eight drivers and a performance measurement. Financial management was identified as the most practiced capability. This finding coincides with other studies and agrees with the results obtained from New Zealand managers. A multiple regression analysis found two drivers within the NZIMCI were significant for hotel performance and were performance leadership and organization capability. However, these two drivers only scored as number three and five respectively out of the total of eight. Financial management, though rated as the highest, was not significant. This disconnect requires further investigation to determine which capabilities have the greatest impact on performance and how managers can prepare themselves for further stressful economic conditions

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.006
GPT teacher head0.208
Teacher spread0.203 · 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