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Evaluation of Leadership and Employee Commitment to Work in Nigeria Bottling Company

2011· article· en· W1767832878 on OpenAlexvenueno aff
Dosunmu Akinola George, Olusanya Olumide

Bibliographic record

VenueStudies in sociology of science · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsBottling lineLeadership styleWork (physics)Job satisfactionArgument (complex analysis)Servant leadershipPublic relationsBusinessManagementMarketingPolitical scienceEngineeringEconomics

Abstract

fetched live from OpenAlex

The issue of leadership role in industrial sector nowadays in Nigeria has generated various scholarly arguments among researchers leadeship and employee relationship within the manufacturing and industrial sector of Nigeria are more of servant and master relationship which invariably determines the worker commitment to their various work within the organization. Some of this argument on leadership styles within the Beverage’s company gave impetus for studying and evaluate the different leadership styles adopted in Nigerian Bottling Company. However, employees attitudes towards job utility and satisfaction were investigated in the research work.69 workers were investigated and their responses were tabulated and interpreted through simple percentage.Hence, results were generated from the research work and recommendations were made for future research. Key words: Leadership; Employee; Work; Management

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)0.003
metaresearch head score (Gemma)0.005
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 score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.392
GPT teacher head0.394
Teacher spread0.002 · 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

Citations7
Published2011
Admission routes1
Has abstractyes

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