Multivariate analysis of the impact and interdependence of teleworking with variables of productivity, efficiency, effectiveness, job satisfaction and knowledge in digital tools: a case study.
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Keywords

telecommuting
multivariate analysis
principal components

How to Cite

Alviarez, J. (2022). Multivariate analysis of the impact and interdependence of teleworking with variables of productivity, efficiency, effectiveness, job satisfaction and knowledge in digital tools: a case study. Minerva, 3(8), 42-53. https://doi.org/10.47460/minerva.v3i8.63

Abstract

Based on the review and research on the teleworking modality and the variables that impact it at the organizational level, such as quality of life, communication, organizational culture or productivity, a case study is proposed under the innovation and teleworking model of a company. Japanese automotive industry for the application of Multivariate Analysis techniques such as Principal Component Analysis and Linear Regression, in order to condense the information provided by multiple variables into principal components and validate the relationships and impact that exist between them, thus determining the interdependence and correlation of the same with the telework variable, allowing to simplify the complexity of sample spaces with many dimensions. It was possible to identify the main components with the variables' own labels and the dependent and predictive variables of the case were statistically validated, through the use of the IBM SPSS.

https://doi.org/10.47460/minerva.v3i8.63
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References

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