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Emotions and Performance Feedback: An Examination of Analyst Responses to Managers’ Emotions

2024· article· en· W4400479217 on OpenAlexaff
Hwee Hoon Tan, JM Goh, Daniela Blettner

Bibliographic record

VenueAcademy of Management Proceedings · 2024
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPsychologyCognitive psychologySocial psychologyApplied psychology

Abstract

fetched live from OpenAlex

The Behavioral Theory of the Firm (BTOF, Cyert & March, 1992) suggests that managers interpret performance feedback and, if feedback is negative, an organizational response involving the organization and its stakeholders such as financial analysts is triggered. Since the interpretation of feedback is crucial for the organizational response, scholars have become interested in how managers differ in their perceptions of feedback. One aspect that has been largely unexplored are the emotions that managers attach to performance feedback. Based on a large, longitudinal sample of conference calls and subsequent analyst evaluations, we study how emotions displayed by managers during conference calls influence analysts’ assessments. We find that managers’ emotions affect how analysts evaluate firms and contribute to the BTOF by studying the role of managers’ emotions and stakeholder’s perceptions in a complex feedback interpretation process.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.975
Threshold uncertainty score0.624

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.056
GPT teacher head0.354
Teacher spread0.298 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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