MétaCan
Menu
Back to cohort
Record W4292298019 · doi:10.1108/jkm-01-2022-0029

Antecedents and consequences of knowledge sabotage in the Turkish telecommunication and retail sectors

2022· article· en· W4292298019 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Knowledge Management · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsKnowledge workerOrganizational justiceBusinessInteractional justiceIncivilityStructural equation modelingOriginalityPsychologyTurkishValue (mathematics)Social psychologyPublic relationsOrganizational commitmentPolitical science

Abstract

fetched live from OpenAlex

Purpose This study aims to propose and test a model explicating the antecedents and consequences of knowledge sabotage. Design/methodology/approach Data obtained from 330 employees working in the Turkish retail and telecommunication sectors were analyzed by means of the Partial Least Squares Structural Equation Modeling technique. Findings Co-worker knowledge sabotage is the key factor driving knowledge sabotage behavior of individual employees, followed by co-worker incivility. Interactional justice suppresses individual knowledge sabotage, while supervisor incivility does not affect it. Co-worker knowledge sabotage reduces job satisfaction of other employees, which, in turn, triggers their voluntary turnover intention. Contrary to a popular belief that perpetrators generally benefit from their organizational misbehavior, the findings indicate that knowledge saboteurs suffer from the consequences of their action because they find it mentally difficult to stay in their current organization. Employees understate their own knowledge sabotage engagement and/or overstate that of others. Practical implications Managers should realize that interactional justice is an important mechanism that can thwart knowledge sabotage behavior, promote a civil organizational culture, develop proactive approaches to reduce co-worker incivility and strive towards a zero rate of knowledge sabotage incidents in their organizations. Co-worker incivility and co-worker knowledge sabotage in the workplace are possible inhibitors of intraorganizational knowledge flows and are starting points for job dissatisfaction, which may increase workers’ turnover intention. Originality/value This study is among the first to further our knowledge on the cognitive mechanisms linking interactional justice and uncivil organizational behavior with knowledge sabotage and employee outcomes.

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.

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)0.005
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.564
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.040
GPT teacher head0.315
Teacher spread0.274 · 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