Bibliographic citations
Montes, C., (2021). Influencia de la rotación de mercadería en las ventas de la empresa Socopur S.A.C., periodo 2014 - 2018 [Universidad Nacional de la Amazonía Peruana]. https://hdl.handle.net/20.500.12737/7268
Montes, C., Influencia de la rotación de mercadería en las ventas de la empresa Socopur S.A.C., periodo 2014 - 2018 []. PE: Universidad Nacional de la Amazonía Peruana; 2021. https://hdl.handle.net/20.500.12737/7268
@mastersthesis{renati/922452,
title = "Influencia de la rotación de mercadería en las ventas de la empresa Socopur S.A.C., periodo 2014 - 2018",
author = "Montes Vásquez, Carmen Lucy",
publisher = "Universidad Nacional de la Amazonía Peruana",
year = "2021"
}
Inventory management is vital in any modern company, since it seeks to optimize the level of merchandise, trying not to have too much that means immobilized money, nor so little that it is not enough to meet the requirements. The objective of the investigation was to determine the influence of the turnover of merchandise on the sales of the company SOCOPUR S.A.C., in the period 2014 - 2018; In this sense, this research of the Quantitative type, Correlational level and Non-Experimental design is executed. The investigation concludes that there is no relationship between the merchandise stock and the sales of the company, contrasted by the statistical test that used the Correlation Coefficient (r), which was r = -0.621684272; very far from +1 and -1 demonstrating that there is no association between variables; and the Correlation Coefficient (R2) that resulted in R2 = 0.386491335; away from 1; showing that the variation in merchandise stock does not determine sales. The merchandise stock maintained a growing trend throughout the series under study, starting 2014 with a value of S /. 6,107,607.60 and ended 2018 with S /. 7,832,182.62. Sales showed a similar trend, being S /. 8,521,821.43 in 2014, and ending 2018 with S /. 31,767,268.90. On the other hand, the analysis of sales through the payment condition shows that 60% were “Credit” while 40% were “Cash”, subtracting liquidity.
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