Bibliographic citations
Bañon, D., Tume, J. (2023). Sector exportador peruano de servicios financieros: principales desafíos que han limitado su desempeño comercial internacional del 2017 al 2022 [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/669658
Bañon, D., Tume, J. Sector exportador peruano de servicios financieros: principales desafíos que han limitado su desempeño comercial internacional del 2017 al 2022 [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2023. http://hdl.handle.net/10757/669658
@misc{renati/408613,
title = "Sector exportador peruano de servicios financieros: principales desafíos que han limitado su desempeño comercial internacional del 2017 al 2022",
author = "Tume Miranda, Jaime Alberto",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2023"
}
Since 2010, the export value of the international financial services industry has increased by 89%. This is due to various factors such as the development and improvement of mobile devices, the digitization of currency, the promotion of fintech and to mitigate the economic impact of the pandemic caused by COVID-19. However, despite the aforementioned global statistics, the Peruvian export industry of this type of services, since 2010, has maintained low export levels of up to -3%, suggesting that it has not been able to replicate this global boom due to to various challenges that the local industry has faced. Therefore, the objective of this research is to determine the main challenges that have limited the international commercial performance of the Peruvian export sector of financial services between 2017 and 2022. For this reason, this research has been designed under a quantitative approach at a relational level, non-experimental design, transversal and correlational type. For this purpose, questionnaires have been applied to professionals from 36 companies in the sector, in order to elucidate the difficulties they have faced internationally. In addition to this, data processing has been carried out in IBM SPSS Statistics applying the logistic regression model, which established a significant relationship between the challenges and the commercial stagnation produced within the sector in question.
This item is licensed under a Creative Commons License