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Structural characterization of ecommerce for its growth and development in Peru

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Fecha
2021
Autor(es)
Flores Pérez, Alberto Enrique
Ruiz Ruiz, Marcos Fernando
Caycho Vilchez, Winter Aaron
Cespedes Olaya, Duvant Alfonso
Metadatos
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Resumen
The objective of this study was to determine those key variables or factors that characterize ecommerce in Peru and will drive its growth and development to reach the turnover levels of the main Latin American economies. In this sense, a PEST analysis was conducted to identify the most relevant variables of the system studied. Then, based on an exploratory and descriptive design, a structural analysis (French strategic foresight technique) was carried out with the participation of 5 experts in ecommerce and digital media. Likewise, the MICMAC tool (Matrix of Cross Impacts Multiplication Applied to a Classification) was used to determine the levels of motricity and dependency of each proposed variable. The results identified consumer electronics culture as the most sensitive variable and, to a lesser extent, the variables of ecommerce application development, consumer banking and consumer distrust. Furthermore, it was found that the COVID 19 pandemic has had a positive impact on the adoption of ecommerce in Peru. Finally, this study constitutes a starting point for the planning and design of future scenarios for the behavior of the ecommerce system in Peru in the medium and long term.
URI
https://hdl.handle.net/20.500.12724/19882
DOI
https://doi.org/10.1109/SHIRCON53068.2021.9652237
Cómo citar
Caycho-Vilchez, A., Céspedes-Olaya, D., Flores-Perez, A. E., & Ruiz-Ruiz, M. F. (2021). Structural characterization of ecommerce for its growth and development in Peru. In Proceedings of the 5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021, Lima, Peru, November 2021. https://doi.org/10.1109/SHIRCON53068.2021.9652237
Editor
Institute of Electrical and Electronics Engineers Inc.
Temas
Pendiente
Evento
Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
Coleccion(es)
  • Ingeniería Industrial [182]


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