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Record W2534959280 · doi:10.6000/2371-1647.2016.02.08

Beyond the Big Five: Personality and Job Performance in an E-Commerce Firm

2016· article· en· W2534959280 on OpenAlexvenueno aff
Lennart Sjöberg

Bibliographic record

VenueJournal of Advances in Management Sciences & Information Systems · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPersonalityTest (biology)Social psychologyProxy (statistics)Applied psychologyStatisticsMathematics

Abstract

fetched live from OpenAlex

The purpose of this paper was to investigate of the relationship between personality and job performance with employees of a rapidly expanding Swedish e-commerce firm. Two studies were carried out with the UPPTM test of personality. In Study 1, seventy persons took the test on an Internet site. Three groups at NN AB participated: a group of top performers, selected by management, a group of employees selected at random, and 8 members of NN AB's top management. In Study 2, the validity of the UPPTM test was investigated with relation to supervisor assessments in a group of employees in customer service at NN AB. In Study 1, large and significant differences were found between the group of employees selected at random, and the other two groups. In terms of correlations, validity was = 0.44. In Study 2, the tested subjects were assessed by supervisors using a comprehensive assessment form (40 variables), which could reduced to three criterion dimensions. The validities for the three criterion dimensions of value for the company (halo), efficiency and social functioning were 0.66, 0.52 and 0.40. Analysis of proxy criteria (work motivation and similar attitude scales) gave similar results

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)0.000
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 score0.052
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.014
Open science0.0000.000
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 head0.015
GPT teacher head0.263
Teacher spread0.248 · 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
Published2016
Admission routes1
Has abstractyes

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