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Record W3120665010 · doi:10.5430/ijfr.v12n1p297

The Moderating Effect of Leaders’ Experience on Leadership Styles and Crisis Management in the Jordanian Hotel Sector

2021· article· en· W3120665010 on OpenAlexvenueno aff
Raed Hussam Alzoubi, Amar Hisham Jaaffar

Bibliographic record

VenueInternational Journal of Financial Research · 2021
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsTransformational leadershipTransactional leadershipLeadership styleSituational leadership theoryPsychologyPublic relationsValue (mathematics)BusinessShared leadershipCost leadershipCrisis managementContingencyContingency theoryMarketingManagementPolitical scienceEconomicsComputer science

Abstract

fetched live from OpenAlex

Crisis management is vital for hotels to survive in the present competitive business climate in Jordan. Previous research into leadership and crisis management produced inconclusive results. Therefore, the influence of a leader’s experience on the relationship between leadership styles and crisis management needed to be further investigated and analyzed. A quantitative study involving a self-administered questionnaire was carried out using respondents in management roles at 3 to 5-star hotels operating in Jordan. The Smart-PLS 3.0 was used to analyze the survey data. Results show that transformational and transactional leadership has a positive and significant relationship with crisis management practice. Furthermore, a leader’s experience plays an important role in improving the relationship between a transformational leadership style and crisis management. However, the results show that although, leadership style is important, a leader’s experience can be of even greater value if they possess a transformational leadership style. From the perspective of contingency theory, when managing a crisis, the style of leadership is contingent on situational factors and a leader with experience may have an extra advantage in influencing his/her subordinates to practice crisis management.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.211

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.107
GPT teacher head0.376
Teacher spread0.269 · 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 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

Citations2
Published2021
Admission routes1
Has abstractyes

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