Relationship of Innovation and Market Orientation With the Profitability of SMEs in Mexico
Bibliographic record
Abstract
The objective of this research is to analyse the effect of innovation and market orientation of small and medium-sized enterprises (SMEs) on their profitability in 2018 in Mexico, because they are two key elements in the development and growth of these companies, which compete with large companies within a globalized and constantly evolving market. For this analysis, an empitical study was carried out through a survey on a sample 300 companies selected by simple random sampling adapting the scales of Kohli & Jaworski (1990) to measure market orientation, for innovation the scale proposed by the OECD (2005) was adapted and business profitability and adaptation was made to the cale proposed by Gadenne, Mia, Sands, Winata, & Hooi (2012). Reliability and validity of the scales were evaluated through the Confirmatory Factor Analysis, which shows that the higher level of orientation to the SME market, the higher level of business profitability so companies must seek to implement innovation activities in their products, processes and management to see better, results reflected, in addition, the influence exerted by market orientation on innovation activities drives the company to meet the needs of the client and in this way conquering their preference.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".