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Record W3119661061 · doi:10.5267/j.msl.2020.12.015

The effect of psychological capital on team performance: The moderating role of leadership behavior in advertising agencies in Amman City

2021· article· en· W3119661061 on OpenAlexvenueno aff
Nesreen Tayseer Ayed, Abdallah Q. Bataineh, Mohammed Idris

Bibliographic record

VenueManagement Science Letters · 2021
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyOptimismCronbach's alphaConfirmatory factor analysisRegression analysisMultilevel modelPositive psychological capitalPsychological resilienceApplied psychologyTest (biology)Social psychologyMarketingBusinessStatisticsClinical psychologyPsychometrics

Abstract

fetched live from OpenAlex

This research aimed at identifying the impact of psychological capital dimensions (self-efficacy, hope, optimism and resilience) on team performance at advertising agencies operating in Amman city. Moreover, the study examines the moderating role of leadership behavior on the relationship between the psychological capital and team performance. The researchers rely on descriptive and analytical approach, where the research population consists of all employees working in thirteen advertising agencies operating in Amman city. Convenience sampling technique was applied to distribute (250) questionnaires on the research sample. To analyze the research data; the researchers used a set of statistical methods including Cronbach's alpha along with a normality test, standard deviation, exploratory factor analysis, confirmatory factor analysis, multiple regression, interactive hierarchical regression and process procedures methods using SPSS-V20 and AMOS-V23. The results indicate that there was a statistically impact of psychological capital dimensions (self-efficacy, hope, optimism and resilience) on team performance in advertising agencies operating in Amman city. There was also a significant and role for leadership behavior as moderating variable between psychological capital dimensions and team performance.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.226

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.022
GPT teacher head0.254
Teacher spread0.233 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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