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Record W2284106664 · doi:10.5539/ibr.v9n3p143

Beyond the Expected Activities: The Role of Impulsivity between Emotional Intelligence and Employee Creativity

2016· article· en· W2284106664 on OpenAlexvenueno aff
Ebru Gözükara

Bibliographic record

VenueInternational Business Research · 2016
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsCreativityPsychologyImpulsivityEmotional intelligenceSensation seekingSocial psychologyApplied psychologyDevelopmental psychologyPersonality

Abstract

fetched live from OpenAlex

<p>Individual creativity is considered as an individual phenomenon level that provides the production of new and extremely valuable ideas for organizations. Organizational level studies indicate that there are lots of factors examined in individual and group levels within organizations like innovation climate effecting individual creativity, group communication, leadership style and creativity core competences. This study is based on the employees of a company who are affected by the individual impulsivity behavior, providing positive increase in the performance of the company by the help of creativity features of the employees. Accordingly, individuals’ behaviors leading to impulsivity are examined in a number of dimensions such as premeditation, urgency, sensation seeking and perseverance. These dimensions influence the creativity of employees. Impulsivity is an important psychological situation, studied in many individuals and generally in systematic level. In addition, this study examines the assumption that emotional intelligence, consisting self-emotion appraisal, other-emotion appraisal, use of emotion, regulation of emotion dimensions has an influence on the relation between employee impulsivity behavior and employee creativity. This study also examines whether the relationship among the impulsivity behavior, emotional intelligence and creativity of an employee changes with respect to gender.</p>

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.153
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.101
GPT teacher head0.424
Teacher spread0.322 · 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

Citations6
Published2016
Admission routes1
Has abstractyes

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