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Towards quality assurance of the study process using the Multi-Criteria Decision-Making Method

Author

Listed:
  • Rimvydas Labanauskis

    (Vilnius Gediminas Technical University (VILNIUS TECH), Lithuania)

  • Aurelija Kasparavičiūtė

    (Vilnius Gediminas Technical University (VILNIUS TECH), Lithuania)

  • Vida Davidavičienė

    (Vilnius Gediminas Technical University (VILNIUS TECH), Lithuania)

  • Dovilė Deltuvienė

    (Vilnius Gediminas Technical University (VILNIUS TECH), Lithuania)

Abstract

The article explores in detail higher education studies that appear as one of the essential university processes. University studies are not a new phenomenon; however, they are overwhelmed by the volume of information surrounded by a wide range of diverse stakeholders. Therefore, the university inevitably needs changes in the adequate fulfillment of its mission thus meeting and harmonizing the expectations of different stakeholders of modern society and the state. Therefore, the concept and role of the study process itself in society are changing. The studies considered to be timely and qualitative are becoming a more and more relevant question to universities. Based on the previous scientific analysis of the study process at the university level and a concept of Quality Assurance for university studies formulated by the Bologna Process, the article examines the relationships and importance of the components (criteria) composing the study process at the university level. The article is aimed at revealing the diversity of the study process and at evaluating the importance and significance of the criteria composing it. To achieve this goal, the multi-criteria decision-making method the Analytical Hierarchy Process were invoked. The representatives of two major Lithuanian universities participated in the carried out research the results of which demonstrated that the criteria of the study process were fundamentally different, and some of those were difficult to measure applying quantitative parameters. Despite this circumstance, giving more attention to a combination of criteria for a particular process of university studies creates conditions for purposeful modeling the study process and the pursuit of high-quality university studies.

Suggested Citation

  • Rimvydas Labanauskis & Aurelija Kasparavičiūtė & Vida Davidavičienė & Dovilė Deltuvienė, 2018. "Towards quality assurance of the study process using the Multi-Criteria Decision-Making Method," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(2), pages 799-819, December.
  • Handle: RePEc:ssi:jouesi:v:6:y:2018:i:2:p:799-819
    DOI: 10.9770/jesi.2018.6.2(22)
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    References listed on IDEAS

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    1. Thomas L. Saaty, 1994. "How to Make a Decision: The Analytic Hierarchy Process," Interfaces, INFORMS, vol. 24(6), pages 19-43, December.
    2. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    3. Serene Dalati & Salah Eddin Al Hamwi, 2016. "Sustainable development in higher education through service quality and price fairness: empirical evidence from private universities in Syria," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 4(1), pages 25-38, September.
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    Cited by:

    1. Inna Gryshova & Nataliia Demchuk & Iryna Koshkalda & Nataliia Stebliuk & Nataliia Volosova, 2019. "Strategic Imperatives of Managing the Sustainable Innovative Development of the Market of Educational Services in the Higher Education System," Sustainability, MDPI, vol. 11(24), pages 1-16, December.

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    More about this item

    Keywords

    study process; universities; Bologna Process; Multi-Criteria Decision-Making Method; Analytical Hierarchic Process (AHP);
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
    • M00 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General - - - General
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other

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