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Record W7120689241

Padrões de inovação aberta no desenvolvimento de produtos: um estudo comparativo entre as indústrias aeroespaciais brasileira e canadense.

2013· dissertation· en· W7120689241 on OpenAlex
Fabiano Armellini

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDigital Library of Theses and Dissertations (Universidade de São Paulo) · 2013
Typedissertation
Languageen
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAerospaceProduct (mathematics)Sample (material)Process (computing)Face (sociological concept)New product developmentProduct innovationOpen innovation
DOInot available

Abstract

fetched live from OpenAlex

Open innovation is a new research line that emerges from a new industrial organization of research, development and innovation (R,D&I): after a period of vertical integration and accumulation, economy seems to walk towards a more plain level with lesser barriers to new entrants due to a new scenario of collaboration and knowledge dissemination. In this new mindset, firms can and should use external ideas as well as internal ideas, and internal and external paths to market, as firms look to advance in their technologies. The general goal of this research project is to analyze the depth and the impact of open innovation practices, as well as to identify patterns of their integration to the product development process (PDP) with focus on aerospace, a traditional high-tech segment within the metal-mechanic sector. For such, a reference model is elaborated and analyzed in two different contexts, in comparison study between Brazilian (emerging economy) and Canadian (developed economy) industries, more specifically the aerospace clusters in São Paulo and Quebec. The research comprises an aerospace market analysis, as well as the study of both countries national systems of innovation, supported by a survey that measures the intensity and importance of open innovation in Brazilian and Canadian aerospace companies plants. The survey is carried out by means of in-company questionnaire-based face interviews with R&D managers. The sample of analysis comprises a total of 53 aerospace plants, 22 of them in Brazil and 31 in Canada. Through a descriptive analysis of survey data, it is possible to identify similarities and differences in the patterns of open innovation in the two clusters. Among the similarities one highlights the focus on the product, the early involvement of customers in the PDP, the strategies adopted regarding intellectual property (IP) protection, the concentration of collaborative arrangements within the boundaries of the aerospace industry and the low intensity use of pecuniary tools, such as venture capital, spin-offs and/or acquisitions. Among the differences, Canada stands out with respect to its innovation public policies and assistance programs, which are found to be more effective in relation to Brazilian policies. Besides, Canadian plants seem to have a better innovative performance, at the cutting edge of aerospace technologies and higher international relevance. The survey also finds that the intensities of openness in Brazil and Canada are quite similar, although the patterns and motivations differ: Brazilian plants are more engaged in providing R&D services for products of third parties under direct contract (and not within collaborative arrangements) to local customers, while Canadian plants seem to be more engaged in a wider spam of collaborative fronts in a wider geographical range. Besides, Brazilian plants are much less intense in the adoption of formal IP protection methods in relation to Canadian ones, which hinders (but not prevents) the full adoption of open innovation in the Brazilian cluster. Based on the results, this text concludes with recommendations directed to the three vertices of the triple helix in both countries, namely: enterprises, science and technology institutes and the government.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.357
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.003
Open science0.0010.000
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 head0.030
GPT teacher head0.293
Teacher spread0.263 · 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