Building competitive enterprises through supply chain 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
Purpose The purpose of this paper is to introduce a special issue that looks at how enterprises could build competitive advantage through supply chain management. Design/methodology/approach The paper provides an overview of competitiveness within a supply chain framework, introduces the issue papers and summarizes their major features. Findings Nowadays competition is increasingly between supply chains rather than individual companies. Thus, one would expect supply chain management to be a key in maintaining enterprises competitiveness. Through conceptual models and empirical studies this special issue's papers demonstrate how designing and operating efficient supply chains, through the effective use of information technology, can provide enterprises with a competitive advantage. Research limitations/implications The paper implies that enterprises can associate with a supply chain and develop a mechanism to fairly share surpluses. The papers in the special issue offer insight in to how an enterprise can position itself within a supply chain and how risks and profits can be shared equitably. Practical implications The paper introduces articles that report on practical implementation issues of supply chain principles. Originality/value The paper suggests a unified framework for the special issue papers.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.009 |
| 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 it