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Record W2976406441 · doi:10.1002/jls.21655

Advancing the Transformational–Transactional Model of Effective Leadership: Integrating two Classic Leadership Models with a Video‐Based Method

2019· article· en· W2976406441 on OpenAlexaff
Marcella Hoogeboom, Celeste P.M. Wilderom

Bibliographic record

VenueJournal of Leadership Studies · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsNuclear Waste Management Organization
Fundersnot available
KeywordsTransformational leadershipTransactional leadershipModerationPsychologyVariance (accounting)Leadership styleBass (fish)Shared leadershipSocial psychologyTransactional analysisBusiness

Abstract

fetched live from OpenAlex

The presented empirical study demonstrates that the predictive validity of Bass' “transformational‐transactional” model of leadership can be enhanced by incorporating certain aspects of the older Ohio State “initiating structure‐consideration” model of leadership. A precise, fine‐grained video‐based method shows that “initiating structure” behaviors (e.g., directing, informing, structuring) explained the variance in leader and team effectiveness better than “transactional behavior.” Thus, a refined version of Bass' augmentation thesis is supported: initiating structure behaviors (and not transactional behaviors, as originally posed) plus transformational leader behaviors are associated with high leader effectiveness. Another moderation effect of transformational leadership is established: between management‐by‐exception active and team effectiveness. The resulting expanded version of the transformational–transactional model calls for further video‐based research of effective (team) leadership behaviors.

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)0.002
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.961
Threshold uncertainty score0.930

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
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 head0.113
GPT teacher head0.293
Teacher spread0.180 · 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 designSimulation or modeling
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

Citations19
Published2019
Admission routes1
Has abstractyes

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