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Assessing Infrastructure Project Innovation Potential as a Function of Procurement Mode

2008· article· en· W2146152604 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Management in Engineering · 2008
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsUniversity of British ColumbiaShell (Canada)
FundersInfrastructure Canada
KeywordsIntegrated project deliveryProcurementBusinessGeneral partnershipProcess managementProcess (computing)Function (biology)Variety (cybernetics)StakeholderProject managementMarketingFinanceEconomicsSystems engineeringComputer scienceEngineering

Abstract

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The delivery of infrastructure projects as long-term capital investments is impacted in most cases by critical issues of budget constraints, program delays, quality and safety concerns, and an increasingly complex stakeholder environment. Innovation, as it relates to the physical, process, organizational/contractual, and financial/revenue dimensions of a project, has a central role to play in not only contributing to the requirements set for a wide variety of project performance metrics but also improving upon them. Proposed in this paper is a theory in the form of a set of factors (drivers/inhibitors to innovation) and related state values that influence the potential for the identification and adoption of innovations that improve project efficiency or offer increased value. This theory is embedded in a supporting assessment framework to assist with selecting and structuring a project’s procurement mode to enhance the innovation potential of a project from the perspective of a government agency tasked with such decisions. The framework was developed in response to a lack of tools to help practitioners with tasks relating to innovation assessment, especially in regard to conducting a public sector comparator analysis when a public–private partnership procurement mode is being considered among others; and aligning terms and conditions in bid documents, requests for proposals, and concession agreements in a way that fosters beneficial innovations to the extent that factor states can be controlled. The framework provides the project evaluation process with a means of assessing project innovation potential at the very front end of the procurement mode selection process, and is meant to be comprehensive yet simple and easy to use in practice. It can also be used by researchers to help analyze on a postproject basis reasons why innovations were or were not adopted for a specific project context. The framework is applied to case studies on two infrastructure projects in Scandinavia and the United States to demonstrate its application and to assess the role that choice of procurement mode had in influencing the innovations used.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.055
GPT teacher head0.344
Teacher spread0.289 · 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