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Record W4408364617 · doi:10.1016/j.tmp.2025.101351

Social entrepreneurship in tourism: A framework-based scoping review and research agenda

2025· article· en· W4408364617 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueTourism Management Perspectives · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsTourismEntrepreneurshipSocial entrepreneurshipSociologyPublic relationsPolitical science

Abstract

fetched live from OpenAlex

While tourism social entrepreneurship (TSE) has been gaining the interest of tourism scholars, little is known about the extent of knowledge on TSE and how understanding this phenomenon may be advanced. To address these gaps, we conducted a framework-based scoping review of academic publications ( N = 190) on this topic published from 2006 to 2023. We operationalised Gartner's (1985) framework for new venture creation comprising four dimensions namely individuals , organisations , environment , and processes , which we have extended to include a fifth dimension on impacts to further reflect the societal value of TSE. We found that knowledge of TSE is centred on processes , indicating a strong focus on the supply side of this tourism development approach and signalling critical knowledge gaps especially on individuals and impacts of TSE. We propose a conceptual model that shows the complexity and multidimensionality of TSE. Finally, we contribute a research agenda to advance knowledge of TSE.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.843
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
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.052
GPT teacher head0.365
Teacher spread0.313 · 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