Integrated and Separated Logistics Management Study of Nigeria Bottling Company Plc and Nigeria Breweries Plc
Bibliographic record
Abstract
Firms are challenged in the decision in favour of the adoption of the separated or integrated logistics management programmes given the advantage of each. Hence this work surveyed the activities of the Nigeria Bottling Company Plc and the Nigeria brewery Plc, as firms in the different divides of these logistics management programmes based on the evaluation of firms’ annual accounts for the period 2000-2010 on the bases of the firms’ market share acquisition, profit earnings and shareholders’ welfare using the pearson correlation co-efficiency,‘t’ test statistics for difference of mean, spearman’s rank correlation co-efficiency as well as the likert ranking scale. Findings show that neither the separated or integrated logistics programme based firm has absolute rather comparative advantage over the other. Hence this work recommends discipline in the adoption of either programme for internal or external economy of scale benefits based of economy of scope benefits maximization. Keywords: Separated, integrated, logistics management, economy of scale and economy of scope.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".