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Record W7020251346

Innoframe: a project and portfolio management multilayer framework to support innovation-driven SMEs

2020· article· en· W7020251346 on OpenAlexaboutno aff

Bibliographic record

VenueRepositóriUM (Universidade do Minho) · 2020
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsnot available
FundersFundação para a Ciência e a Tecnologia
KeywordsProject portfolio managementPortfolioIT portfolio managementPipeline (software)Project managementApplication portfolio management
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this research was to discover what frameworks for project, portfolio, and innovation management there are and if necessary to propose a new framework useful for SMEs of the construction and building materials industry. Design/methodology/approach - The methodology used in this research was the case study, in which the Canadian construction and building materials industry was selected. The research was based on literature review, interviews, group discussion and survey. Findings - Although there are currently many frameworks available for the three management areas (project, portfolio and innovation), research has shown that a framework that helps companies to follow an approach that supports their business at these three levels is lacking. Originality/value - Innoframe is a new framework for project, portfolio, and innovation management that incorporates a pipeline and two phases as well as a performance management matrix, that can be used for project and portfolio management, to support innovation-driven SMEs.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.006
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.082
GPT teacher head0.352
Teacher spread0.270 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2020
Admission routes1
Has abstractyes

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