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Record W3171537149 · doi:10.1002/job.2539

Formal supervisors' role in stimulating team members' informal leader emergence: Supervisor and member status as critical moderators

2021· article· en· W3171537149 on OpenAlexaff
Roman Briker, Sebastian Hohmann, Frank Walter, Catherine K. Lam, Yong Zhang

Bibliographic record

VenueJournal of Organizational Behavior · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsWilfrid Laurier University
FundersNational Natural Science Foundation of China
KeywordsSupervisorPsychologySocial psychologyInformal learningPublic relationsPolitical sciencePedagogy

Abstract

fetched live from OpenAlex

Summary Teams can benefit markedly when formal supervisors stimulate their individual members' emergence as informal leaders. Combining insights from informal leadership research and social learning theory, we cast supervisors' role modeling of initiating structure and consideration behaviors as seemingly straightforward means of achieving this—but we suggest that the success of such role modeling critically hinges on supervisors' as well as members' status in the team . Results from a study of 220 nurses across 48 teams showed, accordingly, that a supervisor's initiating structure promoted individual members' informal leader emergence by increasing members' respective behavior. This indirect relationship only materialized, however, among relatively high‐status supervisors and relatively low‐status members. Moreover, although supervisors' and members' consideration were positively related (among relatively high‐status supervisors and largely irrespective of a member's status), such behavior did not influence members' emergence as informal leaders. Together, these findings offer novel insights into how , when , and why formal supervisors may aid their team members' attainment of informal leader roles. They shed new light on the complexity of formal–informal leadership linkages, with both supervisors' and members' standing in the team representing crucial, yet heretofore largely unexamined boundary conditions for formal supervisors' respective influence.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.004
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.016
GPT teacher head0.269
Teacher spread0.253 · 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.

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

Citations26
Published2021
Admission routes1
Has abstractyes

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