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Determinants of integrated product development diffusion

2006· article· en· W2146167818 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.

Bibliographic record

VenueR and D Management · 2006
Typearticle
Languageen
FieldEngineering
TopicTechnology Assessment and Management
Canadian institutionsCarleton UniversitySt. Francis Xavier University
Fundersnot available
KeywordsNew product developmentProcess managementProduct (mathematics)BusinessOrder (exchange)Knowledge managementDiffusionKey (lock)Concurrent engineeringProduct lifecycleOperations managementMarketingComputer scienceEngineering

Abstract

fetched live from OpenAlex

Integrated product development (IPD) is an approach for developing new products focused on the early and active involvement of design, manufacturing, marketing and other key new product development (NPD) stakeholders in order to achieve cross‐functional integration and concurrent execution of various NPD activities. The benefits of IPD are well known in both the academic literature and popular press, including significant reductions in NPD cycle time and costs. However, in spite of these benefits, for the majority of manufacturing organizations, IPD is not used on 100% of NPD projects. This research develops a model of the organizational contextual factors influencing the diffusion of IPD in organizations. Results of surveying 269 NPD managers indicate that the complexity of certain IPD practices and support for IPD directly influence IPD diffusion, while an innovative organizational climate and the complexity of the organization's NPD activities indirectly influence IPD diffusion through IPD support.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.861
Threshold uncertainty score0.332

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.004
GPT teacher head0.197
Teacher spread0.192 · 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