Supply chain integration practices and its impact on financial and operational performance of the Tunisian industrial sector
Bibliographic record
Abstract
Supply chain integration is a key factor in improving business performance. Despite this growing interest, little research has highlighted this issue that will determine the survival of many companies. The purpose of this study was to examine the relationship between the supply chain integration practices (SCMP) and the financial and operational performance of Tunisian manufacturing companies. To achieve this, a questionnaire was used as a research tool for data collection. Multiple regression analysis using SPSS26 software was used to answer study questions and examine study hypotheses. According to research, SCMP includes customer relationship management (CRM), supplier relationship management (SRM), buyer-supplier collaboration (BSC), joint knowledge creation (JCK), level of information sharing (IS), goal congruence (GC) , risk management (RM), internet usage (IU), quality management (QM) , except information quality (IQ), collaborative planning, forecasting and replenishment practices (CPFR), and just-in-time (JIT), are all significantly related to the financial and operational performance of the companies surveyed. Some recommendations are proposed to help managers better manage knowledge throughout the supply chain.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".