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Record W3110248069 · doi:10.5539/mas.v14n12p27

The Impact of Transformational Leadership on Crisis Management in the Cellular Communications Sector in Jordan

2020· article· en· W3110248069 on OpenAlexvenueno aff
Ethar Khalaf Ibrahim ALHumeisat, Samer A. Al-Bashabsheh

Bibliographic record

VenueModern Applied Science · 2020
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsTransformational leadershipBusinessPopulationPublic relationsKnowledge managementPolitical scienceSociologyComputer science

Abstract

fetched live from OpenAlex

The current study aimed to identify the impact of transformational leadership on crisis management in the Cellular Communications sector in Jordan. This study relies on the descriptive and analytical approach for this study. The study population includes administrators working in Zain, Orange, and Umniah companies. A Convenience non-probability sample of 100 managers was taken to distribute the study questionnaire to them. Moreover, the study reached the following results: There is a statistically significant impact at (α ≤ 0.05) for transformational leadership with its dimensions (ideal effect, inspirational stimulation, intellectual stimulation, individual considerations) on crisis management in Jordan cellular communications sector. In light of the previous results, the researcher recommends the following: The necessity for the administration to use the information network security system to retrieve information before the crisis occurs. Senior management's necessity to benefit from its previous experiences to generate knowledge benefits the organization's employees—the need to create an organizational culture that promotes the useful application of transformational leadership.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.870
Threshold uncertainty score0.534

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0030.000
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 head0.078
GPT teacher head0.270
Teacher spread0.192 · 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 designSimulation or modeling
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

Citations6
Published2020
Admission routes1
Has abstractyes

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