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Record W3183927839 · doi:10.5430/bmr.v10n2p27

Achieving Continuous Growth through Entrepreneurial Leadership: A Comprehensive Study on ABC Institute

2021· article· en· W3183927839 on OpenAlexvenueno aff
A. A. S. N. Munasinghe, Dinithi Ranasinghe

Bibliographic record

VenueBusiness and Management Research · 2021
Typearticle
Languageen
FieldDecision Sciences
TopicInnovations and Analysis in Business and Education
Canadian institutionsnot available
Fundersnot available
KeywordsConstructiveSri lankaPublic relationsFocus groupQualitative researchMarketingPrime ministerEntrepreneurshipBusinessSociologyManagementPolitical scienceEconomicsProcess (computing)Social sciencePoliticsFinanceComputer science

Abstract

fetched live from OpenAlex

At a time where the term uncertainty had taken over the significance in all the forms of a business, the role played by the leaders would be of utmost importance in dealing with the challenges which are unforeseen. Entrepreneurial Leadership concerned with the ability to guide the followers with a clear vision, and in a smart manner of identifying and seeking opportunities in complex market settings would be a silver lining enabling the organizations to remain strong facing any crisis. Intending to discover the success of Higher Educational Institutions in Sri Lanka, the study commenced with the prime objective of exploring the success story upon the growth an institute named ABC, which had achieved a rare feat among all the private education providers in Sri Lanka. With a comprehensive data collection carried out by in-depth interviews and focus group discussions, the contributions made towards the growth were identified, whislt further supporting with decondary data. A constructive qualitative analysis was highlighting the contribution made by the entrepreneurial leadership in driving ABC Institute towards a successful growth.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.652
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.507
GPT teacher head0.484
Teacher spread0.023 · 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
Published2021
Admission routes1
Has abstractyes

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