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Record W3148741636 · doi:10.1108/lodj-06-2020-0260

Silence and proactivity in managing supervisor ostracism: implications for creativity

2021· article· en· W3148741636 on OpenAlexaff
Sadia Jahanzeb, Dave Bouckenooghe, Rabia Mushtaq

Bibliographic record

VenueLeadership & Organization Development Journal · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsBrock University
Fundersnot available
KeywordsProactivityOstracismSupervisorSocial psychologyPsychologySilenceCreativityOriginalityAgency (philosophy)BelongingnessManagementSociology

Abstract

fetched live from OpenAlex

Purpose Anchored in a social control theory framework, this study aims to investigate the mediating effect of defensive silence in the relationship between employees' perception of supervisor ostracism and their creative performance, as well as the buffering role of proactivity in this process. Design/methodology/approach The hypotheses were tested using three-wave survey data collected from employees in North American organizations. Findings The authors found that an important reason for supervisor ostracism adversely affecting employee creativity is their observance of defensive silence. This mechanism, in turn, is less prominent among employees who show agency and change-oriented behavior (i.e. proactivity). Practical implications For practitioners, this study identifies defensive silence as a key mechanism through which supervisor ostracism hinders employee creativity. Further, this process is less likely to escalate when their proactivity makes them less vulnerable to experience such social exclusion. Originality/value This study establishes a more complete understanding of the connection between supervisor ostracism and employee creativity, with particular attention to mediating mechanism of defensive silence and the moderating role of proactivity in this relationship.

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 score0.085
Threshold uncertainty score0.672

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.078
GPT teacher head0.265
Teacher spread0.187 · 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

Citations28
Published2021
Admission routes1
Has abstractyes

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