Sustainable Product Development and its Effect on Performance in High-Technology Firms
Bibliographic record
Abstract
The widely acknowledged need for sustainable development has impacted not only countries and society but also organizations and how they conduct business. While literature has focussed on the environmental impact of organizations and people, as well as how to model the design of products to be environmentally sustainable; not many have focussed on how to develop products that are sustainable for the organization. This study endeavours to understand how organizations can aim their sustainable-product development processes so as to create sustainable products. It is posited that the strategic orientation of an organization influences the sustainable-product development processes that take place, which in turn impact the attributes of the product(s) being developed as well as the performance of the organization. This study consists of two parts; the first is exploratory in nature. Most of the research originates from the field of new product development and is tested in the context of sustainable products. In the second part, the study conducts an empirical survey to confirm the learning from the exploratory study. This research is important since it provides essential insights into how organizations develop products that are sustainable in nature by incorporating changes at the strategic level.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".