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Record W1572423543 · doi:10.1108/jmtm-08-2011-0079

Effective management of international technology transfer projects

2014· article· en· W1572423543 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

VenueJournal of Manufacturing Technology Management · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsMount Royal University
Fundersnot available
KeywordsContext (archaeology)TextileTextile industryCompetition (biology)BusinessQuality (philosophy)Industrial organizationOrder (exchange)Product (mathematics)Process (computing)MarketingComputer science

Abstract

fetched live from OpenAlex

Purpose – The Brazilian textile industry has been facing fierce competition from low-cost imports from China and other Far East countries. To maintain their competitiveness in the local market, Brazilian companies have been adopting the product differentiation strategy. By using new technologies, they are able to develop new products with better quality at lower costs. With regard to new technologies, companies in the Brazilian textile industry have been using get-some and buy-some strategy, and international technology transfer (TT) has become an important part of their business strategies. However, due to lack of planning, many projects failed to achieve the desired results. This paper aims to provide theoretical insights and practical guidance on how textile firms could use a stage-gate model to enhance the effectiveness of their TT projects. Design/methodology/approach – In order to investigate the TT practices in the Brazilian context, three issues are assessed. First, the paper evaluates the possibility of deploying TT practices used by firms in similar industries, to enhance the effectiveness of TT process. Second, it verifies whether it is possible for the textile firms to use a stage-gate model to manage their TT processes, using as a normative framework the stage-gate model proposed by Jagoda and Ramanathan and Jagoda et al. Finally, possible changes to the stage-gate model are evaluated to specifically fit the Brazilian textile sector. This step is accomplished through four case studies from the Brazilian textile industry. Findings – The analyses of TT projects carried out by four companies show that there are many similarities and differences among the TT practices that are employed by the four companies that were investigated. The evaluation of the TT practices of the Brazilian textile companies against the stage-gate framework allowed authors to identify the gaps between the model and the TT practices of the companies investigated. Broader guidelines in adapting the stage-gate model to improve the TT process in the textile industry are discussed in the final part of this study. Originality/value – The TT process in the Brazilian textile industry is not a widely investigated phenomenon; however, this process has been critical to enhancing Brazil's competitiveness. Thus, providing a better framework to support the TT process in the local textile sector could be relevant information for improving management action in the area.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.777
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.008
GPT teacher head0.220
Teacher spread0.212 · 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