Digital management model for attendance and shifts to improve operational efficiency in gastronomic micro-enterprises
Luis Cuya-Camara J.; Pretell-Cruzado J.; Felipe Mendoza Rodriguez L.; Palomino Iriarte E.; Aroni Palomino D.; Antonio Cueva Melendez P.; Carlos Lázaro-Guillermo J. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2026) · DOI: 10.18687/laccei2026.1.1.1552
Resumen
Human resource management in micro-enterprises in the food service industry suffers from operational deficiencies due to the use of manual processes for attendance control, shift assignment, and payroll calculation, leading to administrative errors, delays, and limited decision-making. To address this problem, this study aims to propose and validate a conceptual model for digital attendance and shift management designed to improve operational efficiency. The research adopted a quantitative, explanatory, applied approach with a pre-experimental pretest-posttest design. The model was developed following the Rational Unified Process (RUP) and modeled using UML diagrams, integrating technological and process components. To evaluate its impact, indicators related to shift incidents, attendance records, and payroll calculation errors were used on a sample of 124 observations. Since the data did not follow a normal distribution, the Wilcoxon signed-rank test was applied with a significance level of 0.05. The results showed statistically significant operational improvements after the model's implementation, reflected in a reduction of administrative incidents, optimized operating time, and increased record accuracy. It is concluded that the proposed model constitutes a viable and replicable alternative for digitizing attendance and shift management in small food service businesses.
Instituciones: Universidad Nacional de Piura; Universidad Tecnológica del Perú; Universidad Nacional Intercultural de la Amazonia; Universidad Privada del Norte; Universidad Nacional de Educación Enrique Guzmán y Valle