The Effects of Absorptive Capacity, Intellectual Property and Innovation in SMEs
Bibliographic record
Abstract
The ability to learn and acquire knowledge has been one of the most important challenges for most companies, and especially for SMEs. The purpose of this study was to examine the effects of absorptive capacity on innovation, market orientation, and intellectual property management in SMEs. We also analyzed the influence of these variables on financial results in SMEs. The study was based on a sample of 412 companies in the industrial (manufacturing and agro-industry) and services (telecommunications and real estate) sectors operating in the Mexican Northwest. Data collection was carried out from June to October, 2014, using self-directed interviews with company managers. The estimation of relationships was tested by variance-based SEM statistical method with the PLS technique, using the SmartPLS software (version 3.2.6). Results showed that absorptive capacity has a significant influence on innovation and market orientation. Moreover, innovation and market orientation were found to have a significant influence on business profitability. No empirical support was found to explain the relationship between intellectual property management and absorptive capacity, innovation, and SME profitability. SME managers should continue with internal and external training of employees to strengthen their skills and knowledge. In addition, they must adopt and implement a business model that connects knowledge with intellectual property and innovation, through an R&D department, in order to increase profitability. With these actions the companies through their managers will have employees with greater skills, knowledge and with greater creativity. Leading to the SMEs to take advantage of its capabilities to develop new products, patent processes and products and protect their knowledge. It is also important for managers to continue to implement marketing strategies that allow them to become more competitive global markets. With the market focus companies can compete in global markets and achieve sustained profitability. This study is a contribution to absorptive capacity literature and to the resource-based view.
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How this classification was reachedexpand
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".