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Record W2394734122 · doi:10.1111/1475-679x.12102

The Role of Visual Attention in the Managerial Judgment of Balanced‐Scorecard Performance Evaluation: Insights from Using an Eye‐Tracking Device

2015· article· en· W2394734122 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Accounting Research · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsSimon Fraser University
FundersNanjing UniversitySimon Fraser University
KeywordsBalanced scorecardEye trackingPresentation (obstetrics)Affect (linguistics)PsychologyTracking (education)Performance managementVisual attentionFocus (optics)Cognitive psychologyProcess managementComputer scienceBusinessPerceptionMarketing

Abstract

fetched live from OpenAlex

ABSTRACT This paper investigates the role of visual attention in managerial judgments during balanced‐scorecard performance evaluations. Using the Locarna eye tracker to establish the amount of time managers spent focused on visual cues, we found that managers who look more at strategically linked performance measures are more likely to make decisions consistent with the achievement of their subordinates’ strategic objectives. When aware of strategy, managers focused more on strategically linked performance measures than on nonlinked measures. The presentation format of the strategy information did not significantly affect this focus. Our findings indicate that awareness of strategically linked performance measures, but not their presentation, appears to be important in helping managers to make better decisions. This study contributes to the management accounting literature by generating useful insights into the impact of visual attention on judgments and decision‐making processes.

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)0.011
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 score0.245
Threshold uncertainty score0.534

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
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 head0.097
GPT teacher head0.365
Teacher spread0.268 · 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