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Record W1982296688 · doi:10.1177/1548051811435793

Emotional, Social, and Cognitive Intelligence and Personality as Predictors of Sales Leadership Performance

2012· article· en· W1982296688 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Leadership & Organizational Studies · 2012
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsCaprion (Canada)
Fundersnot available
KeywordsPsychologyEmotional intelligenceSocial intelligencePersonalityVariance (accounting)SkepticismBig Five personality traitsSocial psychologyCognitionAdaptabilityApplied psychologyBusinessManagement

Abstract

fetched live from OpenAlex

Leaders of sales organizations must recruit and inspire salespeople to grow the organization. Skepticism remains about the role of emotional and social intelligence (ESI) in effective leadership. ESI is criticized as not providing distinctive variance in leadership performance beyond general intelligence and personality. This study assessed the role of the behavioral level of ESI competencies on leader performance. The number of new recruits was shown to predict new cash invested 6 years later. ESI significantly predicted leader performance (i.e., recruitment) whereas measures of generalized intelligence and personality did not. Adaptability and influence were two competencies distinctively predicting sales leadership 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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score0.679

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.311
GPT teacher head0.390
Teacher spread0.079 · 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