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Record W2909127049 · doi:10.1108/ijmpb-08-2018-0167

Investigating collective sensemaking of a major project success

2019· article· en· W2909127049 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Managing Projects in Business · 2019
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsÉcole de Technologie SupérieureHEC Montréal
Fundersnot available
KeywordsSensemakingOriginalityProcurementKnowledge managementProject managementProject governanceExploratory researchSociologyCorporate governancePublic relationsQualitative researchBusinessPolitical scienceEngineeringComputer science

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to investigate a case of collective sensemaking about the project success of the multifunctional amphitheater of Quebec (Canada). Design/methodology/approach For this explorative and qualitative research, the authors started from the post-mortem document and complemented their comprehension with six semi-structured interviews with the main project actors and other public documents regarding this project. Findings According to the respondents, the main success factors of this project can be attributed to: a clear governance structure; proven project management and construction methods; the use of emerging collaborative practices in construction (such as building information modeling (BIM) and lean construction); an adapted policy for procurement; as well as a code of values and ethics shared by all stakeholders. Originality/value The sensemaking perspective has been scarcely mobilized in project management studies, emerging from a constructivist view of reality and being sensitive about material-discursive practices. This exploratory study explores a case of collective sensemaking of a major project success and suggests avenues for major and megaprojects research. Lessons learned and implications for practice are also outlined. The conclusion allows a synthesis and an opening to consider how practitioners and researchers can build on this (and other successful) case(s) for future projects and research.

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)0.002
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 score0.089
Threshold uncertainty score0.502

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.075
GPT teacher head0.378
Teacher spread0.303 · 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