An improved LINMAP for multicriteria decision: designing customized incentive portfolios in an organization

Jessica Rubiano-Moreno; Nucamendi-Guillén, Samuel; Alvaro Cordero-Franco; Alejandro Rodríguez-Magaña

doi:10.1007/s12351-022-00698-x

An improved LINMAP for multicriteria decision: designing customized incentive portfolios in an organization

Journal

Operational Research

ISSN

1109-2858

1866-1505

Date Issued

2022

Author(s)

Jessica Rubiano-Moreno

Nucamendi-Guillén, Samuel

Facultad de Ingeniería - CampGDL

Alvaro Cordero-Franco

Alejandro Rodríguez-Magaña

Facultad de Ciencias Económicas y Empresariales - CampGDL

Type

text::journal::journal article

DOI

10.1007/s12351-022-00698-x

URL

https://scripta.up.edu.mx/handle/20.500.12552/3919

Abstract

AbstractThis study proposes three new versions of the well-known linear programming technique for multidimensional preference analysis (LINMAP). LINMAP addresses the multi-criteria decision problem by analyzing individual differences in preferences in relation to a set of prespecified incentives in multidimensional attribute space. The proposed models satisfy the decision-maker’s specific needs, such as determining a fixed number of incentives to be active or assigning a minimum/maximum weight for the active incentives. The performance of the developed models is assessed using information from a case study in which a decision-maker desires to determine an optimal portfolio of incentives based on the preferences of individuals surveyed. Experimental results confirm that the proposed models could obtain solutions according to the decision-maker’s needs, yielding a better selection of incentives to activate and their corresponding distribution of the weights than those of the original LINMAP model. Moreover, the consistency of the proposed models is evaluated by performing a sensitivity analysis over database variations of the case study and comparing the outcomes with the results provided in the original case study. Overall, this work is promising when creating a design portfolio, considering individuals’ different preferences.