Article
Version 1
Preserved in Portico This version is not peer-reviewed
Design of a Structural Equation Model to Evaluate the Strategic Prospective of SMEs
Version 1
: Received: 2 May 2021 / Approved: 5 May 2021 / Online: 5 May 2021 (12:36:09 CEST)
How to cite: Rayas, F. S. Design of a Structural Equation Model to Evaluate the Strategic Prospective of SMEs. Preprints 2021, 2021050052. https://doi.org/10.20944/preprints202105.0052.v1 Rayas, F. S. Design of a Structural Equation Model to Evaluate the Strategic Prospective of SMEs. Preprints 2021, 2021050052. https://doi.org/10.20944/preprints202105.0052.v1
Abstract
Queretaro is currently one of the states with the highest growth rate in the automotive industry. In the last five years, the number of companies has increased, reaching more than 300 small and medium-sized companies in the sector. However, they show a high degree of ignorance and lack of strategic foresight, which translates into poor planning in the short, medium and long term and low competitiveness, leading many of them to failure. This paper presents the results of a study within a strategic foresight evaluation with the development of a Structural Equation Model that allows the analysis of foresight and strategic planning within the automotive SMEs in the state of Queretaro. The study analyzes the necessary indicators to be evaluated and establishes the relationship of dependence between the variables, which is necessary to create the constructs of the model. It is confirmed that the adjustment of the model used is adequate for the evaluation of SMEs. The contributions of the research were: A theoretical contribution related to strategic foresight within SMEs and the construction of the structural equation model to evaluate strategic foresight in automotive SMEs in the state of Queretaro.
Keywords
Strategic Foresight Model; Structural Equations; Pymes
Subject
Business, Economics and Management, Accounting and Taxation
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment