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Record W4416284432 · doi:10.63329/av3nz12313

The Role of Agile Leadership in Enhancing Team Dynamics in Digital Organizations

2025· article· W4416284432 on OpenAlexaff
Harmandeep Kaur, Ali Sher

Bibliographic record

VenueScientific Societal & Behavioral Research Journal · 2025
Typearticle
Language
FieldBusiness, Management and Accounting
TopicCollaboration in agile enterprises
Canadian institutionsYorkville UniversityConcordia University
Fundersnot available
KeywordsAgile software developmentShared leadershipTransformational leadershipPsychological safetyServant leadershipLeadership styleVariance (accounting)Key (lock)Transformative learning

Abstract

fetched live from OpenAlex

The transformative influence of agile leadership in improving team dynamics in digital organizations is examined in this research. This study employs a quantitative, cross-sectional research design to empirically test the relationships between key agile leadership characteristics including adaptability, servant leadership, emotional intelligence, transparency, and critical team dynamics such as psychological safety, trust, and conflict resolution. A total of 121 respondents participated. We employed purposive, quota, and networking and connections to reach target audience. The findings indicate that these leadership traits collectively explain 58% of the variance in organizational agility, with transparency emerging as the single most influential predictor. Furthermore, the research establishes that team dynamics, particularly psychological safety and productivity, serve as significant mediators, amplifying the impact of agile leadership on ultimate outcomes like innovation speed and customer responsiveness.

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)0.009
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.837
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.017
Science and technology studies0.0030.002
Scholarly communication0.0110.003
Open science0.0020.001
Research integrity0.0000.002
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 head0.078
GPT teacher head0.371
Teacher spread0.293 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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