The value of strategy and flexibility in new product development
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose – The purpose of this paper is to examine the relationship between strategy and flexibility in new product development, and the operational and financial performance in the supply chain context. The motives for conducting this research are to introduce the supply chain strategies and new product development flexibility (NPDF) as constructs that could have the potential to contribute to the success of supply chain performance. Based on the relational view of the firm, the authors propose that supply chain strategy is an antecedent of NPDF and can create value for the buying firm in terms of better financial and non-financial performance. Design/methodology/approach – The structural equation modeling approach was used to evaluate the proposed model and analyze hypothesized relationships. The analysis, based on data collected from 175 small- and medium-sized (SME) Canadian manufacturing companies. Findings – The analysis shows that there are direct positive effects from strategy on NPDF. The findings indicate also a direct positive association between NPDF and performance and showed that the total effect (direct and indirect) positively influenced performance. Originality/value – The literature did not reveal any study which attempted to examine strategy, NPDF, and performance in the supply chain context of SMEs. The current study fills this important gap in the literature.
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.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| 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 it