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Record W2517774331 · doi:10.1108/jmp-08-2015-0304

Yes, we complain … so what?

2016· article· en· W2517774331 on OpenAlexaffabout
Caroline Aubé, Vincent Rousseau

Bibliographic record

VenueJournal of Managerial Psychology · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsUniversité de MontréalHEC Montréal
Fundersnot available
KeywordsOriginalityPsychologyTask (project management)Social psychologyValue (mathematics)Mechanism (biology)Test (biology)Applied psychologyManagement

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to theorize and test a model concerning the role of complaining behaviors in work teams. Despite the prevalence of workplace complaining, there is no consensus in the literature regarding the consequences of those behaviors and the extent to which they are harmful. Design/methodology/approach Using a multisource approach and a team-level design, the authors collected data from 82 teams (i.e. 394 members and their 82 immediate superiors) working in a Canadian public safety organization. Findings The results show that complaining behaviors are negatively related to two effectiveness outcomes (i.e. team performance and team process improvement) and that meaningfulness mediates these relationships. The results also reveal that task interdependence moderates the relationship between complaining behaviors and meaningfulness. More specifically, complaining behaviors have a stronger relationship with meaningfulness when the level of task interdependence is high. Originality/value The present study contributes to the literature on counterproductive behaviors by deepening the understanding of emergent states and outcomes stemming from workplace complaining, particularly in work teams. The findings of this study highlight the negative consequences that complaining behaviors may have in a team setting, the underlying mechanism involved in these relationships, and the moderating role of task interdependence.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score1.000

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 communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.024
GPT teacher head0.288
Teacher spread0.264 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations13
Published2016
Admission routes2
Has abstractyes

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