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Record W2945866322 · doi:10.5430/jms.v10n3p37

Employee/Management Sabotage Effects on Organizational Output

2019· article· en· W2945866322 on OpenAlexvenueno aff
Etebong Attah Umana, Lawrence Chima Okafor

Bibliographic record

VenueJournal of Management and Strategy · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsEmployee researchBusinessReputationEmployee engagementEmployee moraleOrganizational effectivenessPublic relationsOrganizational performanceWork (physics)MarketingEngineeringPolitical science

Abstract

fetched live from OpenAlex

This study examines how employee sabotage affects organizational output in First Bank Plc, Calabar. The purpose was to identify the causes of employee sabotage, to examine how employee sabotage destroys the image and reputation of the organization, to examine how employee insubordination thwart the achievement of team work accomplishment and organizational effectiveness, to examine how employee refusal to produce product/service affect organizational output and to determine how employee sabotage reduce the security strength of the organization. The study employed survey design and used questionnaire to gather data from sampled respondents. Data was analyzed using simple percentage method. Based on the findings, it was revealed that sabotage at workplace by employee can damage the property, image and reputation of an organization. It was also revealed that employee insubordination thwart the achievement of team work accomplishment and organizational effectiveness. It was equally shown that employee sabotage reduces the security strength of the organization, thus expose the organization to competitive thread and that sabotage by employee leads to waste of resources in the organization, thus low organizational output. It was thus recommended that organizations should do a thorough background checks to know the type of employee that has been hired. Also, organizations should reinforce codes of conduct which will add weight to disciplinary response (court claim) to regulate employees’ behaviours if the employee abuses the rules.

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)0.000
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 score0.367
Threshold uncertainty score0.775

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.001

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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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