Administración Estratégica de Empresas (Dr.)

Permanent URI for this collectionhttp://98.81.228.127/handle/20.500.12404/779

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Impact of Human Factor Management on Company Productivity: The moderating effect of Digitalization
(Pontificia Universidad Católica del Perú, 2024-07-16) Kuong Rodríguez, Jorge Ulises; Arana Barbier, Pablo José
Digitalization phenomenon is changing the environment and markets very quickly, companies in search of competitiveness are aligning all their business processes with Industry 4.0, and human factor management is no exception to this. Study of the impact of human factor management on company productivity, with digitalization as a moderating variable was the purpose of this research, emphasizing medium and large companies in the service sector. Cross-sectional design and quantitative approach were used in this study. Structural equation modeling with the maximum likelihood estimation approach was the data analysis strategy used. The study used a sample of 330 individuals working of banking industry, in the city of Lima, in Peru. The primary findings of this study indicate a positive correlation between human factor management and company productivity. Additionally, digitalization was found to have a moderating effect on the relationship between productivity and human factor management, except for the human factor performance appraisal. These findings contribute to the existing literature and debate, as well as, allow to determine which dimensions of human factor management can be enhanced under the impact of a digital environment, thus contributing better to business performance.
Stock valuation through long-term financial multiples analysis
(Pontificia Universidad Católica del Perú, 2020-03-11) Arana Barbier, Pablo José; Burneo, Kurt
There is still a debate regarding which valuation multiples can estimate the price of a stock. Nevertheless, previous findings have not been considered in recent research, specifically geographic and company size delimitations, particularly for an emerging country. That leaves the valuation based on multiples still in an “exploratory” phase that targets multiples randomly. Besides, statistical validations have been left aside in several cases, and there is a lack of longterm valuation analysis that leads to understand the behavior of those multiples. The purpose of this investigation is to determine how strongly do the main valuation multiples explain the price of the stock in an emerging country such as Peru, through a panel data multiple linear regression, using two models: one composed by the most preferred valuation multiples among the literature, and the other one composed by those used by investigations in emerging countries. Also, a set of specific delimitations based on the literature are considered. The study has a quantitative approach, an explanatory scope, a longitudinal design and is non-experimental. The research is significant because its main findings: (a) the model composed by valuation multiples from emerging countries’ studies proves to be considerably stronger, (b) it can be reduced to a very short but statistically solvent model, and (c) a novel dummy variable is proposed and validated: the commodity-related business. The study will promote further debate and research regarding stock valuation in emerging versus developed countries.