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Record W2029939086 · doi:10.1108/17538370910930491

Risk management applied to projects, programs, and portfolios

2009· article· en· W2029939086 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

VenueInternational Journal of Managing Projects in Business · 2009
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsProject portfolio managementRisk managementRisk analysis (engineering)OriginalityVulnerability (computing)Computer sciencePortfolioProject managementProcess (computing)Process managementField (mathematics)Management scienceBusinessEngineeringSystems engineeringSociologyQualitative research

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to present a review of recent risk management literature applied to projects, programs and project portfolios performed inside an organization with the aim of finding areas of opportunity to continue research and the development of current guides and methodologies. Design/methodology/approach The paper uses a review of recent literature published by international organizations and journals specializing in the field of project, programs, and portfolios. Findings The review shows that project risk management is a well developed domain in comparison to the program risk management and portfolio risk management fields, for which specifically written methodologies are difficult to find. The review also demonstrates the need to include better tools to perform a continuous control and monitoring process. Integrating a vulnerability approach is also necessary in order to consider the project, program or portfolio characteristics which mediate between consequences and the exposure to hazards and opportunities. Research limitations/implications The review does not consider white papers or popular media. Originality/value The limitations found in current risk management methodologies show the challenges researchers must undertake to continue improving this domain for projects performed inside an organization. The paper exhibits the areas of opportunity where methodologies and guides can be further improved to evolve towards better management structures.

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)0.003
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.950
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.046
GPT teacher head0.343
Teacher spread0.297 · 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