Universities’ Competitiveness Models in Academic Management: A National-Level Approach

Abstract

The developing international education market requires additional qualitative and detailed information on the comparative characteristics of universities. This study suggests a single synthetic model for describing and assessing universities’ competitiveness at the national level for advanced, emerging, and transitioning economies. The model is based on the same methodology as international university rankings, but employs different techniques for initial clustering and further analysis. We identified four different university clusters in the Russian Ministry of Education and Science database, distinguished by specific development goals. We argue that applying these clear and welldefined criteria as clustering attributes allows us to compare competitiveness in different settings, formulate academic management strategy and recommend policy guidelines tailored precisely for each university’s requirements.

Information Technology Readiness and Acceptance Model for Social Media Adoption in Blended Learning: A Case Study in Higher Education Institutions in West Java, Indonesia

“…With quite a large number of universities, around 3115 (Indonesia Central Bureau of Statistics; 2022), of course, the very large number of students will be a challenge in itself for using technology in blended learning model learning with the unequal distribution of skills and expertise. So many higher education institutions, especially private higher education institutions, need to be challenged to open up opportunities that can influence increasing the competitiveness and business of these universities so that they are sustainable and always adopt technological developments that support their sustainability [12], [13], [14].…”

Exploring the role of ranking systems towards university performance improvement: A focus group-based study

“…Historically, university rankings have been associated with students' decision-making and university management [ 5 ]. According to Belov, Chernova [ 6 ], ranking systems are being used for the assessment of the international performance of universities and also allow the stakeholders (students, university management, investors, recruitment heads, and teachers) to evaluate the standing of the institute based on different features like academic performance, student success ratio, H-index, the proportion of international faculty, etc. And aid them in decision-making [ 7 ].…”

University Rankings and Goals: A Cluster Analysis

“…The rankings were first developed to compare the scholarly power of American universities by assessing the research reputation of their academics (Bugaj and Rybkowski 2018). Nowadays, University rankings are used to assess universities internationally (Belov et al 2018). Moreover, University rankings are used to assess the university as a whole rather than the research reputation solely.…”

“…and "How many university clusters can be identified?" Some researchers clustered universities from a theoretical perspective like Belov et al (2018). Other researchers classified research universities as top and moderate research activity in Indian universities but did not include all types of universities (Jalote et al 2020).…”