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Examination of the Relationship Between Organizational Effectiveness and Transformational Leadership

2024· book-chapter· en· W4390717191 on OpenAlexaff
Maria Lavina M. Alonzo, Cataldo Zuccaro, Michel Plaisent, Prosper Bernard

Bibliographic record

VenueAdvances in business strategy and competitive advantage book series · 2024
Typebook-chapter
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsTransformational leadershipPsychologyOrganizational effectivenessTransactional leadershipRegression analysisPublic relationsBusinessManagementSocial psychologyPolitical scienceEconomicsMathematicsStatistics

Abstract

fetched live from OpenAlex

This chapter aims to examine the impact of transformational leadership on the management effectiveness of charities organizations, a less often studied organizations compared to those which focus on revenue building. Furthermore, as women remain underrepresented in both leadership and managerial positions but constitute a significant percentage of managers in registered charities and non-for-profit organizations, the study also aimed to analyze leadership and organizational effectiveness of women leaders in these organizations. Results of the analysis of the responses to the survey strongly support the capacity of the instrument to measure the transformational leadership and organizational effectiveness constructs. In addition, results confirm the existence of a positive and statistically significant relationship between the two constructs. Finally, results of dummy regression analysis do not show that gender has a statistically significant effect on organizations.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.951
Threshold uncertainty score0.758

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 studies0.0000.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
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 head0.036
GPT teacher head0.286
Teacher spread0.250 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations1
Published2024
Admission routes1
Has abstractyes

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