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Record W1997228280 · doi:10.1177/1059601110390835

Team Self-Managing Behaviors and Team Effectiveness: The Moderating Effect of Task Routineness

2010· article· en· W1997228280 on OpenAlexaff
Vincent Rousseau, Caroline Aubé

Bibliographic record

VenueGroup & Organization Management · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsHEC MontréalUniversité de Montréal
Fundersnot available
KeywordsTeam effectivenessPsychological safetyPsychologyTeam compositionTask (project management)Applied psychologySample (material)Process (computing)Social psychologyKnowledge managementComputer scienceManagement

Abstract

fetched live from OpenAlex

This study investigates the role of team members’ self-managing behaviors in regard to three dimensions of team effectiveness. Furthermore, this study examines the moderating effect of task routineness on these relationships. The sample consists of 97 work teams (341 members and 97 immediate supervisors) drawn from a public safety organization. Results show that team self-managing behaviors are positively related to team performance, team viability, and team process improvement. Results also indicate that task routineness moderates the relationships that team self-managing behaviors have with team performance and team viability such that these relationships are stronger when the level of task routineness is low. However, this moderating effect is not significant in regard to the relationship between team self-managing behaviors and team process improvement. Taken together, these findings suggest that emphasis on team self-managing behaviors may enhance team effectiveness, but this enhancement effect is contingent on task routineness.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.003
GPT teacher head0.203
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), 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

Citations104
Published2010
Admission routes1
Has abstractyes

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