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Record W4386957818 · doi:10.3917/qdm.226.0027

Le rôle clé des indicateurs non-financiers dans le pilotage de la phase amont des projets

2023· article· fr· W4386957818 on OpenAlex
Simon Alcouffe, Pascal Langevin, Patrice Maillot

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

VenueQuestion(s) de management · 2023
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsToronto Baptist Seminary and Bible College
Fundersnot available
KeywordsPilotagePolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Cet article étudie le rôle des indicateurs financiers et nonfinanciers dans le pilotage de la phase amont des projets. Une enquête par questionnaire a été menée auprès de 349 managers. Les résultats montrent que l’utilisation d’indicateurs pour piloter la phase amont des projets augmente significativement le taux de réussite de ces derniers. Néanmoins, si les indicateurs financiers restent davantage utilisés dans les entreprises de l’échantillon, seuls les indicateurs non-financiers contribuent significativement et favorablement à la réussite des projets. Ces résultats questionnent donc les pratiques des organisations et indiquent qu’elles devraient davantage utiliser des indicateurs non-financiers pour piloter la phase amont de leurs projets afin d’en assurer la réussite.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.009
GPT teacher head0.250
Teacher spread0.241 · 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