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Record W3010858718 · doi:10.1080/09669582.2020.1737092

A club perspective of sustainability certification schemes in the tourism and hospitality industry

2020· article· en· W3010858718 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 Sustainable Tourism · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsYork University
Fundersnot available
KeywordsSustainabilityCertificationMarketingHospitality industryBusinessTourismHospitalitySustainable tourismClubPerspective (graphical)Public relationsEnvironmental resource managementEnvironmental economicsManagementEconomicsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Drawing on club theory, this study examines the challenges and opportunities facing a sustainability certification program, the Green Key scheme, in terms of its recruitment and retention of members within the Dutch tourism and hospitality industry. Extant literature on sustainability certification in this industry tends to focus narrowly on motivations and retention problems at the firm level, or else on drivers of or barriers to the adoption of sustainability certification schemes. The links between scheme design characteristics and scheme effectiveness and their implications for recruitment and retention thus have remained relatively unexamined. To address this gap, this study proposes a theoretical framework that highlights how different design features of sustainability certification schemes might inform the recruitment and retention challenges that scheme managers often face.

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)0.003
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.010
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 integrity0.0000.001
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 head0.023
GPT teacher head0.273
Teacher spread0.250 · 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