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Record W1485937599

Integrating Information and Communication Technologies in Established Products: A New Managerial Challenge?

2005· article· en· W1485937599 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.

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

VenueChalmers Publication Library (Chalmers University of Technology) · 2005
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsnot available
Fundersnot available
KeywordsOrder (exchange)BusinessProduct (mathematics)LicenseKnowledge managementTask (project management)RevenueValue (mathematics)MarketingBuild to orderProduct innovationIndustrial organizationComputer scienceProcess managementProduction (economics)EngineeringEconomicsMicroeconomicsSystems engineering
DOInot available

Abstract

fetched live from OpenAlex

This paper addresses the integration of information and communication technologies into established mechanical engineering products. By adding e.g. sensors, communication capability, and real-time information systems, the customer value provided by mature products can be substantially increased, thus offering an interesting way of differentiation for products that are normally exposed to severe price competition. The specific task of integrating information and communication technologies in established products appears to have some specific characteristics, and does not seem to fit into earlier suggested typologies of innovation. An explorative in-depth case study of an attempt to undertake this type of innovation at the Swedish multi-national company Alfa Laval has been performed. The empirical observations show that the most difficult challenges confronted in order to realize the innovation in question regarded the management of technological competences and business model changes, both showing increased complexity. The latter involved substantial changes to the revenue model used, involving the use of license fees, in order to make it possible for the innovating firm to appropriate a large share of the additional value created by the new and improved product.

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 score0.936
Threshold uncertainty score0.874

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0000.009
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 head0.009
GPT teacher head0.176
Teacher spread0.168 · 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