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Record W4411618403 · doi:10.51847/ek0ok7gnno

10.51847/Ek0ok7GnnO

2000· article· en· W4411618403 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsCustomer satisfactionPsychologyBusinessMarketing

Abstract

fetched live from OpenAlex

This study aimed to investigate the relationship between social intelligence of employees on customer satisfaction in Melli National Banks in Rafsanjan.The method has been descriptive-correlational, respectively.The study population included all the staff and customers of Melli Banks in Rafsanjan, numbered 173 People.Considering the number of employees due to the small population size and the number of customers using census method according to Cochran's formula, 384 people were randomly selected.To collect data from two standard questionnaires of social intelligence (2010) with 20 items with a validity of 94/0 and stability of 89/0 and standard questionnaire with 25 questions of customer satisfaction, Hashem Zadeh (2009) with a validity of 86/0 stability 83/0 were used.In order to analyze the data with software SPSS 19, the multivariate regression analysis and Pearson were used.The results showed that there is a significant relationship between employees with social intelligence and customer satisfaction.Considering social awareness among employees, social information processing and social skills, there is a significant positive relationship between employees and customer satisfaction.customer satisfaction is the most important predictor of social awareness and social skills.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.961
Threshold uncertainty score0.262

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.9550.990

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 head0.005
GPT teacher head0.164
Teacher spread0.159 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2000
Admission routes1
Has abstractyes

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