Innovation and Digital Marketing Adoption in Mexican Small Business
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.
Bibliographic record
Abstract
Today, companies are under enormous pressure to innovate (Steinhoff & Trommosdorff, 2013) due to rapid technological evolution, reduced product life cycles and globalized markets (Rovira & Tolstoy, 2016), coupled with the fact that the user is increasingly interactive with digital media, which emphasizes the fact that companies must have presence on the web to be able to cope with the current environment. The main objective of the present study is to investigate how innovation in products, processes, marketing and organization generates opportunities for efficient marketing of companies, transforming it into digital marketing. The present study was carried out in a sample of 256 companies in the state of Aguascalientes (Mexico) using the technique of structural equations modeling (SEM), where the results show positive and significant effects of the innovation on the adoption of digital marketing.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it