Corporate Social Responsibility: Adoption of Green Marketing by Hotel Industry
Bibliographic record
Abstract
This study which is based on a widespread review of literature discusses about adoption of green marketing by hotels as a mechanism to perform corporate social responsibility (CSR). This paper examines in detail the literature and theories surrounding CSR, Malaysian government’s role in protecting the environment, the challenges of green marketing and the state of CSR within the hotel industry. The discussion reveals that hotels are found to be under constant pressure to balance the diverse forms of corporate social responsibility. By knowing the significance of sustainability, the Malaysian government has been encouraging the hotels and other sectors to embrace green technology and practices by providing incentives and tax breaks. Whilst hoteliers are striving to achieve financial performance by practicing green marketing, gaining the trust and meeting the expectations of the public have become more challenging. Further review discloses that strategy such as greenwashing needs to be avoided by hoteliers to gain the confidence among green consumers towards the green claims. The paper further concludes that green marketing is being used as a tool by hotels to perform their CSR while it provides competitive advantage for hotels in ensuring a balance between development and environmental 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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".