Competitiveness, Social Networks, and Innovation as Econometric Variables: Their Impact on Managerial Decision-Making

Authors

  • Xavier Antonio Mosquera Rodríguez Instituto Superior Blue Hill College, Guayaquil, Ecuador
  • José Enrique Townsend Valencia Universidad Tecnológica Empresarial de Guayaquil, Ecuador

Keywords:

Social networks, decision, imports, uncertainty, model

Abstract

This study examines the growth of internet users, the use of social media, investment in innovation, and competitive capacity in the retail sector, aligning with the uncertainty in the importation of selected goods. It adopts an econometric perspective for decision-making in retail companies, addressing the research question: Does the combination of information contribute to improving managerial decision-making? This inquiry is contrasted with the use of a theoretical model of environmental information by Laudon and Laudon, combined with a constraints approach, to develop an econometric management model. The research is quantitative in nature, and the approach is constructivist-positivist with a correlational analysis of its variables. The hypothesis posits a relationship between importation and the use of new technological information in econometric analysis. The research results highlight that retail companies need to extract knowledge with a sophisticated level to identify business requirements, adapt technological infrastructure, define data sources, and, ultimately, the analysis process to counterbalance Ecuador's development model.

Downloads

Download data is not yet available.

Downloads

Published

2024-10-25

How to Cite

Mosquera Rodríguez, X. A., & Townsend Valencia, J. E. (2024). Competitiveness, Social Networks, and Innovation as Econometric Variables: Their Impact on Managerial Decision-Making. Journal of Technology Management & Innovation, 19(3), 88–96. Retrieved from https://www.jotmi.org/index.php/GT/article/view/4542

Issue

Section

Research Articles

Similar Articles

<< < 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 > >> 

You may also start an advanced similarity search for this article.