Model Application Multiattribute (M.A.U) in decision-making processes for departmental charges in Education Technical University of Babahoyo, Quevedo Extension

This document is intended to determine the model application Multiattribute (M.A.U.) in processes of decision making educational department heads of the Technical University of Babahoyo Extension Quevedo, describe the main features and structure of alternative solutions that reflect the needs of the...

Full description

Bibliographic Details
Main Author: Gonzalo Arturo Peñafiel Nivela
Format: Article
Language:Spanish
Published: Universidad Técnica de Babahoyo 2017-05-01
Series:Journal of Science and Research
Subjects:
Online Access:http://revistas.utb.edu.ec/index.php/sr/article/view/168
Description
Summary:This document is intended to determine the model application Multiattribute (M.A.U.) in processes of decision making educational department heads of the Technical University of Babahoyo Extension Quevedo, describe the main features and structure of alternative solutions that reflect the needs of the institution as such. Within higher education institutions the evaluative processes require the department head specific solutions for presentation of evidence, forcing the leader or boss to take immediate decisions in context, this by requiring higher hierarchical approval for decision making spends time and allows state loss for the institution. It is essential to consolidate this quantitative tool gives the possibility to analyze their real needs (OUTPUT) the weight required to address the problem vs. the realities of the candidates or tenders for them (INPUT), the same that will be contrasted to its logical selection and application. The methodology describes the presentation of hypothetical methods deductive with deductive logic and cuantitavos analysis of data generated in recruitment for academic programs each semester process should justify hiring his staff at the university and socialized to the university community Council.
ISSN:2528-8083
2528-8083