Environmentally Specific Servant Leadership and Brand Citizenship Behavior: The Role of Green-Crafting Behavior and Employee-Perceived Meaningful Work
Bibliographic record
Abstract
Sustainability and environmental concerns have become increasingly important in the business world, with organizations seeking to integrate sustainable practices and enhance their brand citizenship behavior. Servant leadership that is focused on the environment is a type of leadership approach that gives prominence to preserving and promoting environmental sustainability. This study aims to examine the impact of environmentally specific servant leadership on brand citizenship behavior, with a focus on the mediating roles of green-crafting behavior and employee-identified meaningful work. Drawing on data from a survey of 319 employees working in hotels, this study conducted partial least square-structural equation modeling (PLS-SEM) to test a dual-moderated mediation model to explore the direct and indirect effects of environmentally specific servant leadership on brand citizenship behavior. The results of this study reveal that environmentally specific servant leadership has a significant and positive impact on green-crafting behavior and employee meaningful work. Moreover, green-crafting behavior and employee-perceived meaningful work both mediate the link between environmentally specific servant leadership and brand citizenship behavior. Specifically, green-crafting behavior acts as a mediator between environmentally specific servant leadership and employee-perceived meaningful work, while employee-perceived meaningful work mediates the link between green-crafting behavior and brand citizenship behavior. These findings have important implications for managers and organizations that seek to enhance their sustainability and brand citizenship behavior. Specifically, this study highlights the critical role of environmentally specific servant leadership (ESSL) in promoting green-crafting behavior and employee-perceived meaningful work, which in turn influence brand citizenship behavior. Therefore, organizations can improve their brand citizenship performance by developing ESSL behaviors and practices that foster green-crafting behavior and employee-perceived meaningful work.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".