Una nueva solucion para la distribucion de recursos basada en niveles y asignacion de incentivos

Luz Judith Rodriguez Esparza (), Julio Cesar Macias Ponce and Roberto Alejandro Ku Carrillo
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Luz Judith Rodriguez Esparza: Conahcyt-Universidad Autonoma de Aguascalientes. Mexico
Julio Cesar Macias Ponce: Universidad Autonoma de Aguascalientes, Depto. de Matematicas y Fisica. Mexico
Roberto Alejandro Ku Carrillo: Universidad Autonoma de Aguascalientes, Depto. de Matematicas y Fisica. Mexico

EconoQuantum, Revista de Economia y Finanzas, 2024, vol. 21, issue 2, 29-46

Abstract: Objective: this work aims to propose an alternative for distribution of incentives by levels. Methodology: distribution by levels is obtained through a simple linear regression between the distribution of incentives assigned to each agent and the amount demanded according to their level in the ladder structure. Results: the proposed solution manages to exactly distribute the available resource among all agents, presenting a simple and practical implementation. Three examples are included that illustrate the application of this new method, highlighting the differences as compared to both the usual and proportional distribution modes. Limitations: the simple linear regression used assumes a linear relationship between the level and incentives, which may not reflect the complexity of some organizational structures. Originality: the distribution solution developed in this work offers an interpretation in terms of individual performances, which expands its applicability to various areas. Conclusions: our distribution proposal acts as a mediator between the usual and proportional distributions. It is ob-served that the usual distribution favors the lowest perfor-mance levels, while the proportional distribution benefits the highest levels.

Keywords: allocation problems; levels; incentives; simple linear regression. (search for similar items in EconPapers)
JEL-codes: C02 C69 C79 (search for similar items in EconPapers)
Date: 2024
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