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Record W4387343717 · doi:10.1177/15480518231204675

Even Nectar is Poisonous in Excess: The Impact of Leader Humility on Pride, Entitlement, and Organizational Citizenship Behavior

2023· article· en· W4387343717 on OpenAlexaff
Somayeh Bahmannia, Darren K. B, Daan van Knippenberg, Kevin B. Lowe

Bibliographic record

VenueJournal of Leadership & Organizational Studies · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsHumilityPrideOrganizational citizenship behaviorEntitlement (fair division)Social psychologyPsychologyOrganizational commitmentPolitical scienceEconomicsLawMicroeconomics

Abstract

fetched live from OpenAlex

Studies on the effect of leader humility generally portray leader humility as beneficial, whereas a minority of studies recognize potential negative influences. This is probably most clearly the case in the study of organizational citizenship behavior (OCB) for which both positive and negative relationships with leader humility have been established. We advance the analysis of the leader humility—OCB relationship by proposing that leader humility has diminishing returns, such that its effects are positive at lower levels but at higher levels turn negative. We argue that high levels of leader humility boost followers’ views of themselves, as expressed in higher levels of pride, which gives rise to psychological entitlement. Such entitlement in turn reduces OCB. This suggests a model in which leader humility has a curvilinear, increasing returns, relationship with follower entitlement, mediated by follower pride, that in turn mediates a curvilinear, decreasing returns, relationship with OCB. Results of a multiwave, multisource survey supported these predictions.

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 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 score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.107
GPT teacher head0.330
Teacher spread0.223 · 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

Citations7
Published2023
Admission routes1
Has abstractyes

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