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Record W1802030535 · doi:10.3963/jmpm.v1i1.8

“STAKEPARTNER MANAGEMENT" IN PROJECTS. A turn-of-the-century TURNAROUND AT ALCAN

2013· article· en· W1802030535 on OpenAlexaffabout
François Labelle, Christophe Leyrie

Bibliographic record

VenueLe dépôt institutionnel (Université du Québec à Trois-Rivières) · 2013
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsUniversité du Québec à ChicoutimiUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsGeneral partnershipProject managementStakeholderProject stakeholderBusinessStakeholder managementMultinational corporationProject portfolio managementProcess managementEngineeringProject charterOperations managementManagementEconomicsFinance

Abstract

fetched live from OpenAlex

The ideas behind project management have changed significantly since the 1980s. Traditionally based around engineering principles, project management is now primarily focused on creating value jor various groups of stakeholders (SH). In turn, an integral part of stakeholder management moved from a basically contractual approach to a communication focused, or public relations, approach before recently evolving yet again to a partnership approach. The aim of this article is to illustrate the move towards partnership management of stakeholders and to use a case study to discuss the consequences of such a move on management and leadership. The case study in question involved the implementation of a new project management philosophy at Alcan, a multinational company in the aluminum sector, during the construction of an aluminum smelting plant at Alma in Quebec in the early 2000s. This large project involved an investment of over two billion CAD and had the potential to cause significant environmental and socio-economic impacts. Alcan's new project management philosophy and new stakeholder approach directly influenced every stage of the process and were translated into specific and innovative actions that allowed the company to complete the project in the best conditions while obtaining a very high level of social acceptability.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.007
Scholarly communication0.0100.004
Open science0.0010.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.030
GPT teacher head0.242
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations5
Published2013
Admission routes2
Has abstractyes

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