Title: Conceptual design of QMM-HEI-SP: a quality management model for HEIs students' performance

Authors: Valentyna Savkova; Manuel Mora; Jorge Marx Gómez; Igor Pampuha

Addresses: Department of System Analysis and Decision Making Theory, Faculty of Cybernetics, Taras Shevchenko National University of Kiev, Academician Glushkov Avenue, 4d, Kyiv, 03680, Ukraine ' Information Systems Department, Autonomous University of Aguascalientes, Boulevard Universidad 940, Edificio 202, Aguascalientes, Ags., 20131, Mexico ' Department of Business Informatics, University of Oldenburg, Ammerländer Heerstr. 114-118, 26129 Oldenburg, Germany ' Military Institute of Taras Schevchenko National University of Kiev, 03680, Kyiv-680, 81 Lomonosova Street, Kyiv, Ukraine

Abstract: This article reports the conceptual design of QMM-HEI-SP: a quality management model for higher education institutions (HEIs) students' performance. This model has been theoretically founded on recommendations from the ISO 9001 IWA 2:2007 international guidelines for HEIs. Higher education services contribute to the economic and social progress of countries, and therefore, the quality control of provided services from HEIs demands a relevant group-based decision-making activity to be properly performed and supported. The QMM-HEI-SP model is represented with a system dynamics modelling approach. System dynamics models have been used previously in the literature for similar purposes, but none has been founded on the ISO 9001 IWA 2:2007 guidelines. This research, thus, review exemplary related studies, and presents the conceptual design of QMM-HEI-SP. We end the article with recommendations for its implementation as a group-based decision support system (GDSS), and for further research.

Keywords: higher education institution; HEI; quality management system; QMS; ISO 9001 IWA 2:2007; HEI students' performance; system dynamics; group-based decision support system; GDSS; conceptual design research.

DOI: 10.1504/IJIDS.2017.086783

International Journal of Information and Decision Sciences, 2017 Vol.9 No.3, pp.247 - 275

Received: 29 Dec 2014
Accepted: 17 Jul 2015

Published online: 26 Sep 2017 *

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