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Record W836101300

Environmental Management Certification and Performance in the Hospitality Industry: A Comparative Analysis of ISO14001 Hotels in Spain

2011· article· en· W836101300 on OpenAlexfundno aff
Marival Segarra‐Oña, Ángel Peiró‐Signes, Rohit Verma

Bibliographic record

VenueCornell Peter and Stephanie Nolan School of Hotel Administration (Cornell University) · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsnot available
FundersMcGill University
KeywordsCertificationBusinessHospitality industrySustainabilityHospitalityMarketingHotel industryAccountingEarnings before interest, taxes, depreciation, and amortizationTourismEarningsEconomicsManagement
DOInot available

Abstract

fetched live from OpenAlex

As the number of hotels that are strongly interested in sustainability-related issues increases, the hotel industry is still seeking consensus on how sustainability can be measured and managed. One standard that provides both measurement and policies for sustainability management is ISO 14001, which is being adopted by an ever growing number of hotels, especially in Europe. Using a sample of over 2,000 independent hotels in Spain, this report analyzes the differences between those hotels that have implemented the ISO 14001 standard and those that haven’t. Also considered are the possible effects on the business results of such companies of moderating factors such as company size and the market segment in which the hotel operates. On balance the certified hotels recorded stronger sales and earnings before taxes and depreciation than those that were not certified. Certified hotels in Spain tended to be larger than uncertified properties, and certified hotels in city and beach locations enjoyed considerably stronger performance than those without the certification. The report challenges the often-heard contention that adopting sustainability programs will diminish hotels’ performance. Instead, these data show the reverse to be the case.

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 score0.006
Threshold uncertainty score0.675

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.044
GPT teacher head0.202
Teacher spread0.159 · 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

Citations5
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueCornell Peter and Stephanie Nolan School of Hotel Administration (Cornell University)Same topicEnvironmental Sustainability in BusinessFrench-language works237,207