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Study on New Product Development: Based on the Process Innovation of Organization

2010· article· en· W2123920717 on OpenAlexvenueno aff
Chunsheng Shi, Meng Da-peng

Bibliographic record

VenueCanadian social science · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCollaboration in agile enterprises
Canadian institutionsnot available
Fundersnot available
KeywordsNew product developmentHumanitiesBusinessBusiness administrationPolitical scienceMarketingPhilosophy

Abstract

fetched live from OpenAlex

The global pressures of modern market are placing an ever-increasing emphasis on the rapid development and introduction of new products. In view of the importance of new product development to the survival and development of enterprises, this paper proposed how process innovation effects the new product development in organization by developing a theoretical model based on the mechanism discussion between them. Based on the methods of factor analysis, correlation analysis and data mining, using IMSS database, an empirical analysis has been done and the theoretical model is proved to be true. At last, this paper gives a case study by represents the research project on DaGang Company. A number of organization deficiencies in the new product development process are identified and proposals based on concurrent engineering subsequently are adopted which enhances the effectiveness of this process. Key words: Concurrent engineering, New product -development, Organizational innovation, Process innovation Resume: La pression globale du marche moderne met l’accent de plus en plus sur le developpement rapide et l’introduction de nouveaux produits. Etant donne l’importance du developpement de nouveaux produits pour la survie et le developpement des entreprises, l’article present examine comment le processus d’innovation influe le developpement de nouveau produit dans l’organisation en developpant un modele theorique base sur le mecanisme de discussion entre eux. Basee sur les methodes de l’analyse de facteurs, l’analyse de correlation et l’extraction des donnees, en utilisant la banque de donnees IMSS, une analyse empirique a deja ete effectuee et le modele theorique est prouve correct. Enfin, l’article donne une etude de cas qui represente le projet de recherche sur l’Entreprise DaGang. Bon nombre d’insuffisances d’organistion dans le processus du developpement de nouveau produit sont identifiees et des propositions fondees sur l’ingenierie simultanee sont adoptees qui amelioreront l’efficacite de ce processus. Mots-Cles: ingenierie simultanee, developpement de nouveau produit, innovation organisationnelle, processus d’innovation

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)0.000
metaresearch head score (Gemma)0.001
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 score0.170
Threshold uncertainty score0.719

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.006
Science and technology studies0.0010.000
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 head0.017
GPT teacher head0.249
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2010
Admission routes1
Has abstractyes

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