Citas bibligráficas
Caqui, N., (2021). Control de activos fijos y su incidencia en la gestión financiera de la empresa Transportes Pomacocha SAC, en la Provincia Constitucional del Callao- 2019 [Universidad Peruana de Las Américas]. http://repositorio.ulasamericas.edu.pe/handle/upa/1223
Caqui, N., Control de activos fijos y su incidencia en la gestión financiera de la empresa Transportes Pomacocha SAC, en la Provincia Constitucional del Callao- 2019 []. PE: Universidad Peruana de Las Américas; 2021. http://repositorio.ulasamericas.edu.pe/handle/upa/1223
@misc{renati/4944,
title = "Control de activos fijos y su incidencia en la gestión financiera de la empresa Transportes Pomacocha SAC, en la Provincia Constitucional del Callao- 2019",
author = "Caqui Alejandro, Normila Anita",
publisher = "Universidad Peruana de Las Américas",
year = "2021"
}
The Control of fixed assets and its impact on the financial management of the company Transportes Pomacocha SAC in the Constitutional Province of Callao in 2019, has the main objective: To demonstrate how the control of fixed assets improves the financial management of the company Transportes Pomacocha SAC The research has a quantitative approach, the cross-sectional design - non-experimental, the population is made up of 48 workers among them. A general manager, assistant manager, general accountant, 1 accountant, 3 administrative assistants, 4 accounting assistants, 4 in finance area, 3 accountant assistant, 2 accountant practitioners, 2 secretaries, 26 drivers (drivers), all of them fundamental pillars within the company , the technique used is the survey, the instrument to be used was the questionnaire to obtain the results, The results of the research indicated that a correlation was found between the control of fixed assets and financial management, with a Pearson correlation coefficient of 0.647, with a significance (sig = 0.000), and a minimum level of error of 0.01 means that when the control of fixed assets increases the financial management increases, likewise the linear regression between both variables was found, thus determining that the R squared was of (0.418).
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