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Record W1594850400 · doi:10.1108/17538371211269040

Critical success factors in projects

2012· article· en· W1594850400 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 · 2012
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsAthabasca University
Fundersnot available
KeywordsCritical success factorOriginalityPopularityProject managementValue (mathematics)Success factorsDiversity (politics)SociologyManagementMarketingPsychologyComputer scienceCreativityBusinessSocial psychologyEconomics

Abstract

fetched live from OpenAlex

Purpose Few scholars have been cited as frequently as Pinto, Slevin, and Prescott for their contributions to project success and related critical success factors (CSF) in the 1980s. Studies since then built on their articles to broaden and refine our understanding of the topic. The purpose of this paper is to discuss the reasons for the impact of these seminal contributions and how the topic of project success continues to evolve. Design/methodology/approach The paper analyses the popularity of Pinto and his colleagues' contributions to project success and reviews the development of this field of research since then. Findings Project success remains a vibrant school of thought as do the earlier definitions, measurement scales and dimensions, and assessment techniques that Pinto and his colleagues developed. The authors view success more broadly and think of it strategically because they consider longer‐term business objectives. Some research is now based on managerial or organizational theories and reflects the multi‐dimensional and networked nature of project success. Practical implications Practically, the classic contributions in project success continue to be valid. The authors see diversity in how success is defined and measured. The CSFs vary by project types, life cycle phases, industries, nationalities, individuals, and organizations. Originality/value The paper relates earlier understandings of project success to subsequent research in the field and underscores the significant findings by Pinto, Slevin, and Prescott.

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)0.004
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 score0.034
Threshold uncertainty score0.521

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0000.003
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 head0.116
GPT teacher head0.413
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