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Record W3095720023 · doi:10.58885/ijbe.v05i2.009.rm

THE ROLE OF EMOTIONAL INTELLIGENCE IN CONFLICT MANAGEMENT STYLE ADOPTION

2020· article· en· W3095720023 on OpenAlexaff
Radwa Hazem, Tarek A. El Badawy, Mariam M. Magdy

Bibliographic record

VenueInternational Journal of Business & Economics (IJBE) · 2020
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsStyle (visual arts)Emotional intelligencePsychologyConflict managementSocial psychologyManagement stylesCognitive psychologyPolitical scienceSociologyPublic relationsHistorySocial science

Abstract

fetched live from OpenAlex

This study investigated the influences of different levels of emotional intelligence on the choice of conflict management styles. A sample of employees working in multinational organizations located in Egypt completed the questionnaires. Results demonstrated that individuals with high levels of emotional intelligence prefer the competing style of conflict resolution more frequently than the other styles. Participants reported near averages of using the other styles of conflict management, however, no significant associations were found between these styles and levels of emotional intelligence. These results contradict the argument that Arab and Middle Eastern employees prefer the avoiding conflict resolution style in handling interpersonal conflicts in the workplace.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score0.649

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.035
GPT teacher head0.302
Teacher spread0.266 · 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
Published2020
Admission routes1
Has abstractyes

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