Colaboración y la crisis del covid-19 en la industria automotriz de México

• Autores: Gonzalo Maldonado Guzmán, Elena Patricia Mojica Carrillo, Lucero Jazmín Cuevas Pichardo
• Localización: Telos: Revista de Estudios Interdisciplinarios en Ciencias Sociales, ISSN-e 1317-0570, Vol. 25, Nº. 2 (mayo-agosto), 2023, págs. 231-247
• Idioma: español
• DOI: 10.36390/telos252.02
• Títulos paralelos:
  • Collaboration and covid-19 crisis in the automotive industry in mexico
• Enlaces
  • Texto completo (pdf)
• Resumen
  • español

    El objetivo general de este estudio es explorar los efectos de las actividades de colaboración en el rendimiento empresarial en un contexto de la crisis económica generada la pandemia del coronavirus COVID-19, a través de los aportes teóricos de Medrano y Olarte-Pascual (2016), Hannah y Eisemhardt (2018), Cortez y Johnston (2020) y Crick y Crick (2020a). Asimismo, para dar respuesta al objetivo planteado se considero pertinente la utilización de la metodología cuantitativa mediante la aplicación de una encuesta telefónica a una muestra de 65 empresas de la industria automotriz de México, analizando la información mediante la técnica estadística Partial Least Squares Structural Equation Modelling. Los resultados obtenidos sugieren que la colaboración tiene efectos positivos significativos en el rendimiento empresarial de las empresas de la industria automotriz, aún en una crisis económica generada por la pandemia del COVID-19.

  • English

    The general objective of this study is to explore the effects of collaborative activities on business performance in the context of the economic crisis generated by the coronavirus COVID-19 pandemic through the theoretical contributions of Medrano and Olarte-Pascual (2016), Hannah and Eisemhardt (2018), Cortez and Johnston (2020), and Crick and Crick (2020a). Likewise, in order to respond to the proposed objective, the use of quantitative methodology was considered pertinent by applying a telephone survey to a sample of 65 companies from the automotive industry in Mexico, analyzing the information through the statistical technique Partial Least Squares Structural Equation Modeling. The results suggest that collaboration has significant positive effects on business performance of companies in the automotive industry, even in an economic crisis caused by the COVID-19 pandemic.

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