Open AccessImprovement project in higher education institutions: A BPEP-based model
Author(s) -
Marco Maciel-Monteon,
Jorge Limón-Romero,
Carlos Gastelum-Acosta,
Yolanda Báez-López,
Diego Tlapa,
Manuel Iván Rodríguez Borbón
Publication year - 2020
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0227353
Subject(s) - excellence , structural equation modeling , ibm , computer science , test (biology) , discriminant validity , quality (philosophy) , linear discriminant analysis , higher education , software , statistical hypothesis testing , confirmatory factor analysis , knowledge management , engineering management , process management , data science , psychology , engineering , mathematics , machine learning , artificial intelligence , statistics , psychometrics , political science , clinical psychology , operating system , philosophy , materials science , law , internal consistency , biology , paleontology , epistemology , nanotechnology
Improvement projects (IPs) are a fundamental element in any quality management system from any organization. In Higher Education Institutions (HEIs), IPs are constantly implemented to maintain excellence in academic and administrative processes. In this study, we propose a model for IP implementation that is based on the Baldrige Performance Excellence Program (BPEP). As a part of the model, we propose a series of research hypotheses to be tested. The data used to test the hypotheses were gathered from a questionnaire that was developed after an extensive literature review. The survey was administered to Mexican public HEIs, and more than 700 responses were collected. The data were assessed in terms of convergent and discriminant validity, obtaining satisfactory results. To test the proposed relationships between the model constructs, we utilized Structural Equation Modeling (SEM) using the software IBM SPSS Amos. The analysis confirmed the statistical validity of both the model and the hypotheses. In conclusion, our model for IP implementation is a useful tool for HEIs that seek to attain excellence in their processes through IPs.