Effects of the attributes of supply chain openness on sustainable supply chain performance
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 empirically examine the effects of the attributes of supply chain openness on sustainable supply chain performance (SSCP). Design/methodology/approach Data were collected by questionnaire survey from 259 supply chain executives in Pakistan. Structural equation modeling (SEM) was used to test the hypotheses. Findings The results indicate that the relative openness of supply chain organizations in Pakistan is very low. Further, all the attributes of supply chain openness have positive but weak association with SSCP. This indicates that there is some awareness of sustainable supply chain but there remains a significant room for improvement with regard to the relationships among different attributes of supply chain openness and SSCP. Pakistani organizations do not fully embrace the concept of supply chain openness in order to achieve SSCP. Originality/value The current paper makes three important contributions to the existing literature. First, it empirically examines the attributes of supply chain openness. Second, it contributes to the broader sustainable supply chain management literature by exploring the effects of the attributes of supply chain openness on SSCP. Third, given the limited studies that address sustainable supply chain issues in the context of developing countries, this is one of the few studies that add value to the body of literature in the context of developing countries, such as Pakistan.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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