Corporate social responsibility in tourism and hospitality
Bibliographic record
Abstract
The past decade has seen significant growth in the tourism and hospitality literature on corporate social responsibility (CSR). Indeed, over 70% of the articles on this topic have been published in the past five years. Through the application of a stakeholder lens, this paper explores how CSR has developed within the extant literature, paying particular attention to current gaps and highlighting the contributions of the research in this special issue. This emerging research on CSR in the context of tourism and hospitality is pushing past the boundaries of early approaches to corporate sustainability by providing empirical evidence to support the importance of integrating a range of stakeholder perspectives and needs throughout the planning, implementation, and evaluation of CSR initiatives. We observe that while there is ample research on certain stakeholder groups such as management, employees, shareholders, and consumers, there is less emphasis on the role of communities and ecosystems as stakeholders and very little related to suppliers, NGOs, and government. Although tourism and hospitality firms may not be subject to the same pressures as other industries, there remain important opportunities to both document and engage these external stakeholders in the journey towards sustainability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".