The role of green human resource management in creating green supply chain culture in a service industry
Bibliographic record
Abstract
This article investigates the supply chain analysis of the role of green human resource management including green behavior on the green work environment by emphasizing on the effect of direct supply chain analysis relation to green organizational culture and moderation of individual green values. This type of research is quantitative research. Primary data obtained from questionnaires distributed to 145 respondents. The collected data were analyzed using SEM-PLS (Structural Equation Model- Pear Least Square). Green organizational culture has a positive but insignificant effect on the work environment, green organizational culture has a positive and significant effect on green behavior, green behavior has a positive and significant effect on the green work environment, individual green values have a positive and significant effect on green work environments, green values individuals do not moderate the relationship between green organizational culture and green work environment, green behavior mediates the relationship between green organizational culture and green work environment. This research provides insight to leaders that to create a green work supply chain environment requires the role of green behavior as an intervening variable. However, the finding does not show the effect of individual green values as a moderating variable, so that green organizational culture can affect the green work supply chain environment. The existence of a green behavior variable that mediates the relationship between green organizational culture and green work environment is the originality of this study.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".