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Record W2732044910 · doi:10.20286/jeas.v3i4.29

Integrated and Separated Logistics Management Study of Nigeria Bottling Company Plc and Nigeria Breweries Plc

2016· article· en· W2732044910 on OpenAlexvenueno aff
A. E. Ndu Oko, Ray O. Obasi

Bibliographic record

VenueNova Journal of Engineering and Applied Sciences · 2016
Typearticle
Languageen
FieldEngineering
TopicUrban and Freight Transport Logistics
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessShareholderBottling lineWelfareRanking (information retrieval)Scope (computer science)Work (physics)Likert scaleProfit maximizationProfit (economics)Operations managementEconomicsFinanceEngineering

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.036
GPT teacher head0.230
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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Same venueNova Journal of Engineering and Applied SciencesSame topicUrban and Freight Transport LogisticsFrench-language works237,207