Indonesia in the Headlight: Fighting Sustainability Through the Implementation of the Product-Oriented Product-Service Systems
Bibliographic record
Abstract
This research puts Indonesia in the headlight in its effort to fight sustainability through product-oriented Product–Service Systems (PSS) implementation. First, this research explores the Indonesian government support for sustainability. This is followed by examining the Indonesian motorcycle network existing implementation of product-oriented PSS. The paper then investigates the drivers and barriers of the product-oriented PSS implementation to improve sustainability by a qualitative approach through semi-structured interviews with thirteen senior managers from five Indonesian motorcycle companies–manufacturers, intermediaries and service partners. This study found key criteria for manufacturer to meet sustainability are waste management, decreasing the hazardous material uses, design for disassembly, increase the recyclable materials, take back and recycling policy, while for intermediaries and service partners are providing service, repair, maintenance and decreasing the hazardous material uses. Finally, through literature review, several recommendations about the role of government to tackle the barriers were given based on the previous studies. This study contributes to the body of knowledge by offering a new insight of improving the sustainability through the product-oriented PSS implementation by knowing the drivers and the barriers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".