PLS-SEM linear regression model to evaluate the effect of dynamic capabilities in the process of improving competitiveness in companies
Innovation is positively correlated with the competitiveness of companies. The knowledge of companies, characterized by their dynamic capabilities, influences their innovation and competitiveness. The objective of this work was to determine a linear regression model that allows determining the impac...
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| Main Authors: | , , |
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| Format: | Online |
| Language: | spa |
| Published: |
Universidad Autónoma de Tamaulipas
2024
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| Online Access: | https://revistaciencia.uat.edu.mx/index.php/CienciaUAT/article/view/1843 |
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| Summary: | Innovation is positively correlated with the competitiveness of companies. The knowledge of companies, characterized by their dynamic capabilities, influences their innovation and competitiveness. The objective of this work was to determine a linear regression model that allows determining the impact of dynamic capabilities on the Innovation Capacity (CIn) of companies. A multivariate linear regression model was built in which the causal relationship between dynamic capabilities intellectual capital (CI), competitive intelligence (IC), know-ledge management (GC), and absorption capacity (CA) was established with the CIn; model with which the critical factors and their effect on CIn are identified, in the implementing the innovation improvement process. This model was built using the structural equations model, with a partial least squares method, using a sample of 196 companies in the City of Hermosillo, Sonora, Mexico. The estimated model has an adequate explanatory and predictive capacity, in which the IC was the critical factor that had the greatest effect on CIn, followed by CG and CI, while CA has no significant impact on CIn. The developed model is applicable in the management and implementation of improvements in the CIn of companies located in study zone and probably in other regions. |
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