MétaCan
Menu
Back to cohort
Record W2053184511 · doi:10.1108/17554211311314137

Trends in hotel investment and financial management in Canada

2013· article· en· W2053184511 on OpenAlexaffabout
Paul Willie, Alam Pirani, Chandana Jayawardena, Altaf Sovani, Reza Davoodi

Bibliographic record

VenueWorldwide Hospitality and Tourism Themes · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSharing Economy and Platforms
Canadian institutionsGolder Associates (Canada)George Brown CollegeAlgonquin CollegeNiagara College
Fundersnot available
KeywordsHospitality industryFinanceTourismContext (archaeology)RevenueMarketingBusinessHospitality management studiesHospitalityInvestment (military)Political science

Abstract

fetched live from OpenAlex

Purpose This paper aims to analyse trends related to hotel investment in Canada and propose innovative practices for the financial management of hotels. Design/methodology/approach The foundation for this paper was laid during a well‐attended Worldwide Hospitality and Tourism Themes (WHATT) roundtable discussion between industry leaders and hospitality educators in May 2012. Topics of hotel investment and financial management in Canada are discussed in the context of the theme for the 2012 Canadian WHATT roundtable and the strategic question: “What innovations are needed in the Canadian hotel industry and how might they be implemented to secure the industry's future?” Findings The paper outlines historic hotel investment patterns dating back to the 1980s and analyses the current investment climate. Out of 850 hotels sold in Canada during the first decade of this millennium, foreign investor participation was less than 10 per cent. Currently the foreign interest in hotel investment in Canada is increasing and hotel assets in the 100‐175‐room range are more popular. Practical implications The paper presents three innovative practical tools for strong financial management of hotels to optimise ROIs – profit sensitivity analysis, strategic revenue management and embracing historical low interest rates. Originality/value Although Canada has done well weathering the global financial storm, Canadian hoteliers should exercise due diligence in financial management. As the team of authors represents both the industry and academia, this paper will be of immense value to students, researchers, and educators, as well as practitioners.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.574

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.008
GPT teacher head0.181
Teacher spread0.173 · 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 teacher head, 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

Citations3
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueWorldwide Hospitality and Tourism ThemesSame topicSharing Economy and PlatformsFrench-language works237,207