Managers' risk perception and the adoption of sustainable consumption strategies in the hospitality sector: the moderating role of stakeholder salience attributes
Bibliographic record
Abstract
Purpose This study investigates the relationship between managers' risk perception and the adoption of sustainable water consumption strategies and analyzes the moderating effect of stakeholders' salience attributes on this relationship. Design/methodology/approach A conceptual framework that builds on the stakeholder theory was developed to illustrate the direct and moderating role of the study variables. The derived hypotheses were tested quantitatively using multiple regression analysis. Findings Results indicate that managers' risk perception and the three stakeholder salience attributes were significantly associated with sustainable water consumption strategies, and that the legitimacy attribute was a successful moderator between the study variables. Research limitations/implications The limited ability to generalize results as the study is centered on the hospitality sector. Although the results were comparable to other studies, it is not possible to claim that the findings represent the views of the majority of managers in different industry sectors. Practical implications The research highlights to managers in the hospitality sector, the significant influence of risk perception and stakeholder salience attributes on the adoption of sustainable water consumption strategies. Social implications The research revealed that media, consumers and competitors are powerful, legitimate and urgent stakeholders, respectively. Therefore, the research findings will guide policymakers and nonprofit organizations to support those stakeholders in order to strengthen their power, legitimacy and urgency attributes. Originality/value Although it has been claimed that risk perception has the potential to influence sustainable consumption of natural resources, few studies empirically investigated the association of risk perception of a specific environmental threat with responsible consumption. Moreover, even though there is general agreement in the literature that the adoption of sustainable water consumption strategies is shaped by the degree to which stakeholders exercise their salience attributes, studies that empirically examine the influence of these attributes within the hospitality sector are lacking. Therefore, this study fills a gap in the current literature by empirically examining the influence of managers' risk perception and stakeholder's salience attributes on firms' adoption of sustainable consumption strategies.
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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 | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".