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Record W2110830750 · doi:10.1111/1467-6486.00301

Innovation, Identities and Resistance: The Social Construction of An Innovation Network

2002· article· en· W2110830750 on OpenAlexaff
Denis Harrisson, Murielle Laberge

Bibliographic record

VenueJournal of Management Studies · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicInformation Systems Theories and Implementation
Canadian institutionsUniversité du QuébecUniversité du Québec en Outaouais
Fundersnot available
KeywordsActor–network theoryOrder (exchange)Action (physics)Process (computing)Social constructionismInnovation processKnowledge managementResistance (ecology)SociologyBusinessMarketingWork in processComputer scienceSocial science

Abstract

fetched live from OpenAlex

This paper explores the process of diffusion of a socio‐technical innovation among workers of a large microelectronics firm. Actor–network theory (ANT), which draws on the sociology of science and technology, is applied to the analysis of socio‐technical innovation in order to understand the actions of creating and putting the actors’ arguments into action. Actors constructed and organized these arguments with the aim of diffusing innovation among workers whose support was essential to the project’s success. The authors of the innovation project wanted to change the state of relations between different actors. In the present study, the aligment of identities was established according to the criteria defined by the managers and engineers but the expected benefits of the innovation, in this case, technology and teamwork, were not automatically accepted. Network analysis reveals how persuasive arguments that repudiate the old reality and justify steps to create the new reality are constructed. This article will reveal how innovation is constituted and the form it takes by following the chain of arguments and the responses of the actors involved.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score0.659

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.058
GPT teacher head0.364
Teacher spread0.306 · 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

Citations12
Published2002
Admission routes1
Has abstractyes

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