Bibliographic citations
Arévalo, D., (2018). La influencia de la implementación de las tecnologías de información en la productividad de empresas de servicios [Pontificia Universidad Católica del Perú]. http://hdl.handle.net/20.500.12404/12794
Arévalo, D., La influencia de la implementación de las tecnologías de información en la productividad de empresas de servicios []. PE: Pontificia Universidad Católica del Perú; 2018. http://hdl.handle.net/20.500.12404/12794
@phdthesis{sunedu/2657642,
title = "La influencia de la implementación de las tecnologías de información en la productividad de empresas de servicios",
author = "Arévalo Avecillas, Danny Xavier",
publisher = "Pontificia Universidad Católica del Perú",
year = "2018"
}
Today we live in the era of technology and we can observe how it evolves everywhere at a vertiginous pace. Many developed countries use information technology (IT) to generate more systematized and efficient processes within firms. There are several empirical studies that show that in these countries, investment in information technology has had a significant impact on the performance and productivity of companies. The objective of this research is to analyze the relationship between IT and the productivity of firms from the service sector in Ecuador. In addition, this study analyzed whether the investment in training, knowledge management and administrative practices moderate the relationship between IT and productivity. The research used the methodology of panel data and binary logistic regression, so this study is of deductive logic and quantitative approach. The proposed paradigm is of positivist horizon, deductive logic and of non-experimental design. The data collection was done based on primary and secondary information that allowed to generate a solid and robust work. We also performed a descriptive and deep statistical analysis of each of the variables considered in the study, with a rigorous hypothesis test and an analysis of goodness of fit indexes to better explain the structure of the model used. The analysis of panel data is relevant to know if there are moderating variables and explanatory variables that directly affect the endogenous variable, which in this case is the productivity of service companies. Finally, a binary logistic analysis was developed, which is an appropriate statistical method to determine if the devices, functionalities and potentialities of IT influence the productivity of service firms. The service sector was taken into consideration for the population in this study; since there is a great diversification of strata in this sector that enrich this research
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