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Record W3161271563 · doi:10.5430/ijba.v12n3p98

Motivation Practices and Employee Discipline of Selected Federal Paramilitary Agencies in South West, Nigeria

2021· article· en· W3161271563 on OpenAlexvenueno aff
A. T. Ogunkanmi

Bibliographic record

VenueInternational Journal of Business Administration · 2021
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsLazinessHuman resourcesPublic relationsAffect (linguistics)PopulationDescriptive researchData collectionBusinessPolitical scienceSociologyLawSocial science

Abstract

fetched live from OpenAlex

Motivation is imperative for employee discipline, as it is also critical to the success and survival of organisations. Some scholars are of the opinion that the most difficult factor, of all the factors of production in the organisation, is the human element. In the same vein human beings are considered as the most important assets of organization. Employee's behaviours, such as discipline and indiscipline affect the image of organisations both positively and negatively. The image of the organisation may be damaged by acts of indiscipline exhibited by employees. Such acts may include, lateness, laziness, leaking of official secrets, going against the rules and regulations of the organisation, brutality, corrupt practices and general misconducts.Indiscipline among employees is a common phenomenon and it contributes to the negative images of many organisations. The high level of indiscipline among paramilitary officers is also a global issue. The study adopted quantitative research technique, with a study population of 22,235 personnel of selected paramilitary agencies in South-West, Nigeria. One thousand copies of validated questionnaires were used for collection of responses from respondents. The response rate was 91%, and data collected were analyzed by employing both descriptive and inferential methods. The result of the study confirmed that motivation had positive effect on employee discipline of the selected Federal paramilitary agencies in South-West, Nigeria.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.012
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

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

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 head0.066
GPT teacher head0.372
Teacher spread0.306 · 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 teacher head, 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
Published2021
Admission routes1
Has abstractyes

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