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Record W4409101426 · doi:10.1016/j.jdmm.2025.101001

Institutional theory - Assessing longitudinal change towards sustainability in Tofino, Canada

2025· article· en· W4409101426 on OpenAlexaffabout
Rachel Dodds, Wayne Smith

Bibliographic record

VenueJournal of Destination Marketing & Management · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsTed Rogers Centre for Heart Research
Fundersnot available
KeywordsSustainabilityInstitutional changeTheory of changeClimate changePolitical scienceEnvironmental planningEnvironmental resource managementRegional scienceEconomic geographyGeographyEnvironmental scienceEconomicsPublic administrationManagementGeologyEcology

Abstract

fetched live from OpenAlex

Sustainability efforts are often examined at a firm or organizational level, however, examining multiple organizations under a broader destination level provides insight into how organizations interact within an institutional field. Undertaking a qualitative approach of multi-stakeholder interviews and content analysis, this study used institutional theory to determine which pressures have affected the move toward sustainability in Tofino, Canada. Findings show that coercive pressures have mainly forwarded movements toward sustainability. Mimetic and normative behaviours also affect change, and often, one isomorphic pressure affects another. Although there are still issues in the destination, the findings from this research provide many practical examples for other destinations to duplicate to achieve more sustainable development, which benefits all stakeholders and addresses the broader issue of equity, inclusion, conservation and planning. • Mimetic, coercive and normative pressures that affect a destination are often interrelated and intertwined. • Institutional Theory is a useful framework to understanding isomorphic pressures for sustainable development at a destination level. • The understanding of what sustainability means has broadened to include environmental, social, equity, justice and economic issues. • The inclusion of indigenous and nonprofit sectors are imperative for tourism destination management. • Longitudinal exploration is beneficial in understanding how stakeholders interact and how pressures shift.

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)0.006
metaresearch head score (Gemma)0.002
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 score0.286
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.014
GPT teacher head0.255
Teacher spread0.241 · 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

Citations8
Published2025
Admission routes2
Has abstractyes

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