Impact of HR, Suppliers and Finance on the Production-Operation of MYPES del Comercio in Huacho, Peru: Markov Prediction (#2046)

Authors

Palomino Tiznado, Máximo Darío

Chávez Zavaleta, Raúl

Azabache Rojas, Mariluz Gianella

Ochoa Cuartas, Bibian Patricia

Navarrete Fernández, Ángel Custodio

Abstract

Abstract- The aim of this study is to analyze the impact of HR, Suppliers and Finance on Production-Operation of MSMEs in the trade in Huacho, Peru, using Markov Prediction Chains. This is applied research, with a non-experimental design, predictive level, cross-section and quantitative approach. The independent variables were HR, Suppliers and Finance, while the dependent variable was Production-Operation, measured by 20 items taken from the RELAYN book. POM-QM software was used for the analysis. The applied questionnaire presented a high internal consistency, evidenced by a Cronbach's Alpha and McDonald's Omega of 0.914. The Kolmogorov-Smirnov normality test indicated that the data did not follow a normal distribution (p = 0.000). Likewise, the Friedman test showed significant differences between the medians of the evaluated groups (χ² = 217.230, p = 0.000, W = 0.018). The multiple regression analysis generated the equation: Production-Operation = 5.823 + 0.192 (HR) + 0.286 (Suppliers) + 0.259 (Finance), with an adjusted R² of 74.3%. The Spearman correlation showed significant associations between the variables, highlighting the relationship between Production-Operation and Finance (ρ = 0.679). Finally, the Markov analysis projected 12 transitions, anticipating a 29.11% probability of remaining in the same state by January 2026. It was concluded that the HR, Suppliers and Finance factors significantly influence the Production-Operation of the MYPES of commerce in Huacho. Keywords: Human Resources (HR), Suppliers, Finance, Production-Operation, Markov Prediction Chains.