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Record W2997981614 · doi:10.1177/0312896219895065

In the driving seat: Executive’s perceived control over environment

2019· article· en· W2997981614 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

VenueAustralian Journal of Management · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsBrock University
Fundersnot available
KeywordsControl (management)Upper echelonsInformation processingPerceived controlInformation processing theoryTask (project management)BusinessTest (biology)CognitionKnowledge managementPerceptionMarketingPsychologyComputer scienceManagementStrategic managementSocial psychologyEconomicsCognitive psychology

Abstract

fetched live from OpenAlex

This study investigates executives’ perceived control over their environment. Drawing on managerial cognition and upper echelons theory, we test a model that specifies perceived control over environment as made up of organizational routines (i.e. information processing capability and decision comprehensiveness) and executive understanding of performance (i.e. organizational effectiveness and organizational slack). Findings from a scenario study of 46 executives in 14 pharmaceutical firms show perceived control over the internal environment can be explained by information processing capability, and the interactions between organizational routines and resources. Perceived control over the external task environment can be explained by information processing. This difference accounts for the extent to which executives perceive that they can control their environment, adding to the more traditional view focused on the requirements for a strategic fit to environment. JEL Classification: M10, M12, L20

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)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.226
Teacher spread0.213 · 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