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APPLYING SCENARIO‐DRIVEN STRATEGY TO INTEGRATE ENVIRONMENTAL MANAGEMENT AND PRODUCT DESIGN

2003· article· en· W2172017219 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

VenueProduction and Operations Management · 2003
Typearticle
Languageen
FieldEngineering
TopicTechnology Assessment and Management
Canadian institutionsQueen's UniversityWilfrid Laurier University
Fundersnot available
KeywordsFlexibility (engineering)Process (computing)Competitive advantageKey (lock)Computer scienceProcess managementNew product developmentRisk analysis (engineering)Product (mathematics)BusinessMarketingEconomics

Abstract

fetched live from OpenAlex

The successful development of breakthrough products with environmental attributes can not only create competitive advantage through operations excellence but also benefit the environment. This paper proposes a comprehensive scenario‐driven method with detailed implementation steps for planning and developing breakthrough products with environmental attributes. A case study based on the development process of biotechnology products is presented to show the applications of the method and the resulting importance of flexibility as a key ingredient in operations strategy. The paper also discusses various operational, marketing, technological, economic, and environmental issues concerning the development of biotechnology products, an area that could have a significant impact on both human health and the natural environment.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.810
Threshold uncertainty score0.828

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 head0.013
GPT teacher head0.212
Teacher spread0.199 · 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