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Record W3183066134 · doi:10.19255/jmpm02614

Enabling the Project Owner Role for Benefits Realization Management: a case study of an IT project in a public organization

2021· article· en· W3183066134 on OpenAlexaff
Alejandro Romero Torres

Bibliographic record

VenueJournal of Modern Project Management · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInformation Technology Governance and Strategy
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsDeliverableProject managementOPM3BusinessProject management triangleProject stakeholderProject charterProcess managementKnowledge managementExtreme project managementProject managerEngineeringComputer scienceSystems engineering

Abstract

fetched live from OpenAlex

Added value from projects doesn’t depend only on the temporary organization; rather it is deeply modulated by the actions undertaken by the permanent organization that have defined the project and will transform the project deliverables in outcomes, and then in organizational benefits. Research has introduced the role of the project owner as an organizational capability to realize benefits. Based on a case study, this paper aims at analyzing the organizational enablers allowing the adoption of the project owner role for the benefit realization. We identified six organizational enablers, such as benefits management practices, change management practices, organizational leadership, information infrastructure, strong relationship with the project supplier and urgency for realizing benefits. Our results reveal that organizational enablers for enabling the project owner role emerged within and throughout the entire business unit that has launched the project and obtained the expected benefits.

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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.004
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.273
Teacher spread0.232 · 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 designQualitative
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

Citations2
Published2021
Admission routes1
Has abstractyes

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