MétaCan
Menu
Back to cohort
Record W4410596693 · doi:10.22214/ijraset.2025.71249

The Impact of Transformational Leadership on Employee Motivation: A Study of Indian Private Sector Organizations

2025· article· en· W4410596693 on OpenAlex
Lokendra Chouksey

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal for Research in Applied Science and Engineering Technology · 2025
Typearticle
Languageen
FieldDecision Sciences
TopicLeadership, Behavior, and Decision-Making Studies
Canadian institutionsAlpha Technologies (Canada)
Fundersnot available
KeywordsTransformational leadershipBusinessPrivate sectorBusiness administrationManagementPublic relationsPolitical scienceEconomics

Abstract

fetched live from OpenAlex

Transformational leadership has emerged as a critical factor in enhancing employee motivation in modern organizations. This study explores the influence of transformational leadership behaviours—such as inspirational motivation, intellectual stimulation, idealized influence, and individualized consideration—on employee motivation levels in the Indian private sector. Using a quantitative research design, primary data was collected through a structured questionnaire distributed to 150 employees across various private sector organizations. The findings reveal a significant positive correlation between transformational leadership traits and employee motivation. The study offers valuable insights for human resource professionals and business leaders aiming to foster a motivated and productive workforce through effective leadership styles.

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.

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)0.006
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score0.876

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.251
GPT teacher head0.492
Teacher spread0.240 · 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