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Record W2011919828 · doi:10.5539/ass.v8n9p32

The Relationship between Organizational Citizenship Behavior and Counterproductive Work Behavior

2012· article· en· W2011919828 on OpenAlexvenueno aff
Sarah Waheeda Muhammad Hafidz, Suzana Mohd Hoesni, Fatimah Omar

Bibliographic record

VenueAsian Social Science · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsCounterproductive work behaviorOrganizational citizenship behaviorPsychologySocial psychologyOrganizational commitmentOrganizational behaviorWork behaviorWork (physics)CitizenshipIndustrial and organizational psychologyJob performanceJob satisfactionPolitical science

Abstract

fetched live from OpenAlex

Job performance is the most researched concept studied in industrial and organizational psychology, with the emphasis being on organizational citizenship behavior (OCB) and counterproductive work behavior (CWB) as two dimensions of it. The relationship between these two dimensions of job performance are unclear, hence the objective of the current study was to examine the relationship between organizational citizenship behavior and counterproductive work behavior. A total of 267 students studying psychology were given a questionnaire that measured organizational citizenship behavior and counterproductive work behavior (most have had part-time work experience). Correlational analysis found OCB and CWB to have only a moderate negative correlation which suggests OCB and CWB are two separate but related constructs. It was also found that females and longer-tenured individuals tend to show more OCB but no difference was found for CWB. The findings showed that individuals can engage in OCB and CWB at the same time, which necessitates organizations to find a way to encourage their employees to engage in OCB and not in CWB.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0010.001
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 head0.029
GPT teacher head0.278
Teacher spread0.249 · 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.

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

Citations38
Published2012
Admission routes1
Has abstractyes

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