MétaCan
Menu
Back to cohort
Record W3133861950 · doi:10.5430/ijba.v12n2p76

What Are the Sources of Organizational Change Capability? The Role of Transformational Leadership and Organizational Justice

2021· article· en· W3133861950 on OpenAlexvenueno aff
Thanh Tung Ha, Phong Ba Le

Bibliographic record

VenueInternational Journal of Business Administration · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Leadership and Management Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsTransformational leadershipStructural equation modelingBusinessOrganizational cultureOrganizational justiceOrganizational changeVietnameseCompetence (human resources)Context (archaeology)Public relationsOrganizational commitmentPolitical sciencePsychologySocial psychologyComputer science

Abstract

fetched live from OpenAlex

The paper aims to clarify the influences of transformational leadership (TL) and aspects of organizational justice on change capacity of organizations. Structural equation modelling is applied to test the relationship among the research factors based on the survey of 315 employees in 72 Vietnamese firms. The results show aspects of organizational justice act as mediating roles in the relationship between TL and organizational change capacity. TL has greater effects on innovative culture, while organizational justice has greater effects on capable champions. This study highlights the importance of building the environment of justice in an organization to link TL and organizational change capacity. This study has provided valuable initiatives and deeper insights on the new and effective pathways for firms to improve their change competence and response more successfully and rapidly towards the shift of competitive context and business environment.

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)0.002
metaresearch head score (Gemma)0.017
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.037
GPT teacher head0.240
Teacher spread0.203 · 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

Citations14
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Business AdministrationSame topicOrganizational Leadership and Management StrategiesFrench-language works237,207