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Record W1500035233 · doi:10.1108/ci-01-2014-0013

Embedded contexts of innovation

2015· article· en· W1500035233 on OpenAlexaff
Érik Poirier, Sheryl Staub‐French, Daniel Forgues

Bibliographic record

VenueConstruction Innovation · 2015
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsUniversity of British ColumbiaÉcole de Technologie Supérieure
Fundersnot available
KeywordsOriginalityLeverage (statistics)Process (computing)BusinessInnovation processProcess managementKnowledge managementBridge (graph theory)Perspective (graphical)MarketingComputer scienceWork in processQualitative researchSociology

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to study the radical innovation process behind the adoption and implementation of building information modelling (BIM) for a specialty contracting small or medium enterprise (SME). This paper offers two distinct perspectives on BIM adoption and implementation, which are underrepresented in the current literature: the SME perspective and the specialty contractor perspective. It also attempts to bridge the gap between the growing literature on BIM adoption and implementation and the established literature on innovation by developing the notion of embedded contexts in the innovation process. Design/methodology/approach – A mixed-method, longitudinal case study approach was used in this research project to study the evolution of the innovation process and its impact on the Organisation over time. The objectives of this research were to investigate and document the different factors mediating the BIM adoption and implementation process for the Organisation across various contexts, the mechanisms put in place to facilitate this process and the perceived impact within the Organisation. Findings – The initial transition to BIM represented a radical innovation for the Organisation. Subsequently, a series of incremental innovations took place to further advance the Organisation’s BIM capabilities. This innovation process is influenced by different layers of embedded contextual factors, which can be mitigated by, among others, a clear strategic approach towards the innovation process. Furthermore, despite a limited sphere of influence, specialty contractors can leverage BIM within their own supply chain to reap significant benefits. Originality/value – This paper offers an in-depth study of radical innovation within a specialty contracting SME. This study discusses the influence of four embedded contexts on innovation for a specialty contracting SME: the industry context, the institutional context, the organisational context and the project context. It also offers insight into the factors, mechanisms and their impact on the innovation process.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0050.027
Scholarly communication0.0120.009
Open science0.0010.012
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.023
GPT teacher head0.242
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations121
Published2015
Admission routes1
Has abstractyes

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