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Record W4319662998 · doi:10.1142/s0219877023420026

Innovation in SMEs in Times of Crisis: The Ability to Reconcile Formality, Agility and Speed

2023· article· en· W4319662998 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

VenueInternational Journal of Innovation and Technology Management · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBig Data and Business Intelligence
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsFormalityBusinessAgile software developmentProcess (computing)Product innovationProduct (mathematics)Exploratory researchCarry (investment)Small and medium-sized enterprisesMarketingNew product developmentProcess managementIndustrial organizationKnowledge managementComputer scienceManagementEconomicsFinance

Abstract

fetched live from OpenAlex

During the recent health crisis, certain small and medium-sized enterprises (SMEs) successfully developed and commercialized new products, sometimes outside their usual business sector. What practices were adopted to carry out these product innovations? To answer this question, an exploratory case study was conducted with two SMEs to learn about their motivations, practices and challenges. The results show that they engaged in innovation to survive, using a succinct and flexible innovation process, combining the principles of the stage gate system with certain aspects of the Xpress and Agile versions. During a crisis, SMEs can deploy an innovation process quickly and with agility if resources and skills are accessible and collaborations possible.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0000.000
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 head0.049
GPT teacher head0.322
Teacher spread0.273 · 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