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Record W2608197715 · doi:10.2523/109617-ms

A New Philosophy of R&D Management: Combining Third-Generation R&DManagement With Technology Road Mapping (TRM)

2007· article· en· W2608197715 on OpenAlexaff
Xianqi Li, Hong'en Dou, Changchun Chen, Yuwen Chang, Debin Qu

Bibliographic record

VenueProceedings of SPE Annual Technical Conference and Exhibition · 2007
Typearticle
Languageen
FieldEngineering
TopicTechnology Assessment and Management
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsTechnology managementComputer scienceEngineering managementVisionMilestoneTechnology developmentProcess managementEngineeringManufacturing engineeringKnowledge management

Abstract

fetched live from OpenAlex

This paper presents a new philosophy of research and development (R&D). it is combined the mode of third generation R&D management (Philip A. Roussel, Kamal N.Saad and Tamara J. Erickson, 1991) with technology road maping (TRM) (Jonah M. Duckles, and Edward J. Coyle, 2002, Alain Leger, Fausto Giunchilia, Ana V.Zhdanova and Niana Maynard, 2005). Main management system of the third generation R&D management and its functions, advantages and application of TRM of petroleum technology R&D were described in the paper. At the same time, milestone's elements of technology R&D and RTM's construction are discussed. This paper also point out how to keep company business target in accordance with the technology development target through identifying and prioritizing technology investment decisions, and repositioning company technology capabilities. The visions of the future technology scenario planning and translating the TRM to a technology strategy can be put forward. The methodologies, tools and templates of TRM are also presented in the paper, prioritizing technology capability and upgrading and sharing the technology future. Therefore, a chain was established among the technologies, products and services development plans, and linking of technologies to business drivers and strategy targets in order to reduce the risk of R&D of the technology. Finally, the paper proposes formulation of the TRM, and it also emphasizes that the RTM is an excellent management tool for analyzing and prioritizing potential future technology acquisition. At present, this method has been implemented to the R&D management in PetroChina.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score0.896

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.026
GPT teacher head0.246
Teacher spread0.220 · 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 designTheoretical or conceptual
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
Published2007
Admission routes1
Has abstractyes

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