Design of a Decision Support System for Resource Allocation in Brazil Public Universities

Carolina Lino Martins, Adiel Teixeira de Almeida and Danielle Costa Morais
Additional contact information
Carolina Lino Martins: Universidade Federal de Pernambuco, CDSID, Center for Decision System and Information Development, Recife, Brazil
Adiel Teixeira de Almeida: Universidade Federal de Pernambuco, Center for Decision System and Information Development, Recife, Brazil
Danielle Costa Morais: Universidade Federal de Pernambuco, CDSID, Center for Decision System and Information Development, Recife, Brazil

International Journal of Decision Support System Technology (IJDSST), 2019, vol. 11, issue 1, 20-34

Abstract: This study aims to demonstrate how the design of a decision support system (DSS) can improve the process of internal resource allocation in Brazil public universities. Currently, there are not any kind of general DSS for such a problem. To do so, the analysis is carried out by identifying the general model from the Brazilian Ministry of Education and the models from every federal university, finding similarities between each model, and dividing the models into categories, according to their similarities. Thus, a DSS resource allocation model prototype was proposed. The perspectives are to contribute to the decision problem of how to allocate resources properly faced by Brazilians public universities, take safer and reliable decisions, seeking to reduce uncertainties and to maximize their results.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJDSST.2019010102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jdsst0:v:11:y:2019:i:1:p:20-34

Access Statistics for this article

International Journal of Decision Support System Technology (IJDSST) is currently edited by Shaofeng Liu

More articles in International Journal of Decision Support System Technology (IJDSST) from IGI Global
Bibliographic data for series maintained by Journal Editor ().