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Record W2922284585 · doi:10.14488/bjopm.2019.v16.n1.a6

A contemporary vision of project success criteria

2019· article· en· W2922284585 on OpenAlex
Marcela Souto Castro, Bouchaïb Bahli, José Rodrigues de Farias Filho, André Barcauí

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

VenueBrazilian Journal of Operations & Production Management · 2019
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsOriginalityRanking (information retrieval)Project managementIdentification (biology)Scale (ratio)Management scienceSample (material)Success factorsValue (mathematics)Diversity (politics)Knowledge managementEngineeringProcess managementComputer scienceBusinessQualitative researchPolitical scienceSociologyGeographySystems engineering

Abstract

fetched live from OpenAlex

Goal: The objective of this research is to provide researchers and project management professionals with a contemporary view of the measurement of project success. Design/Methodology/Approach: After a dense literature review, a research-based study analyzes the project success criteria perspectives of 264 Brazilian project managers and provides a ranking of the most widely used measures in practice in Brazilian organizations. Results: The study analyzes contemporary literature on project success criteria and discusses overlaps and trends. One of the important findings of this research is the identification of mismatches between academic perspectives and those of project managers in regard to project success as well as real success criteria used in organizations. Limitations of the investigation: As the sample covered was comprised exclusively of Brazilian project managers, cross-cultural success criteria research is, therefore, encouraged. Practical implications: The proposed performance criteria can be used in future research and for professional proposes in success criteria assessment. Originality/Value: Given the diversity of success criteria measures, authors can have difficulty in finding the one that better fits their needs; alternatively, they can create their own scale. The reliability of several studies can be questioned due to their subjectivity and, in some cases, weakly defined measures. The present study can therefore provide project professionals with guidelines for success assessment that make measuring and comparing different projects possible.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.066
GPT teacher head0.398
Teacher spread0.332 · 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