Research opportunities in purchasing and supply management
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
Purchasing and supply management (PSM) are crucial for the effective and efficient operation of manufacturing firms, now more than ever. The PSM function has evolved from being routine and mechanical to a function that can deliver true competitive advantage. The trend toward increased globalisation and outsourcing, along with a focus on innovation- and capability-driven supply management, has led to an increased reliance on suppliers. This has significantly enhanced the importance of PSM for manufacturing companies. The heightened significance in practice has been paralleled by an increasing attention of researchers in developing theories and chronicling best practices. At the same time, the rapid rate of change represents both daunting challenges and exciting opportunities for research in PSM. It is the goal of this article to highlight such challenges and discuss ensuing opportunities in PSM research. This objective is accomplished via the nominal group technique involving a panel of leading scholars in the purchasing and supply management field. As such, the article presents a synthesis and discussion of important research themes, poses a set of intriguing research opportunities, and serves as a motivation for future investigation.
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 | 0.012 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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