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Record W2788661070 · doi:10.5539/ibr.v11n4p7

Innovation Adoption in Mexican Small Family Firms

2018· article· en· W2788661070 on OpenAlexvenueno aff
Sandra Yesenia Pinzón Castro, Gonzalo Maldonado Guzmán, José Trinidad Marín Aguilar

Bibliographic record

VenueInternational Business Research · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessConstruct (python library)MarketingSmall businessEmpirical researchSmall and medium-sized enterprisesIndustrial organizationFamily businessKnowledge managementFinance

Abstract

fetched live from OpenAlex

Innovation is a topic that has been widely analyzed and discussed in the literature of business and management sciences and there a far and wide consensus among scholars, researchers and professionals that innovation activities should be considered not only as a business strategy but also as a daily activity in enterprises, especially in small and medium-sized ones. However, a high percentage of theoretical and empirical published investigations have focused in the innovation activities of big enterprises while only a small percentage has analyzed this construct in small and medium-sized enterprises. Only a few of them have focused in small, family-owned enterprises even when this type of business is the most representative of the economy and society in country around the world. Therefore, the main goal of this empirical research is the analysis of adopting innovation activities in small, family-owned businesses in an emerging country, as it is the case of Mexico. The results obtained show that there is a clear adoption of innovation in products, processes and management systems from small family businesses.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.107
GPT teacher head0.355
Teacher spread0.248 · 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.

Study designObservational
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

Citations1
Published2018
Admission routes1
Has abstractyes

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