Modeling higher education institutional choice drivers: a pre- and in-pandemic study of business schools in India

IF 2.6 Q3 MANAGEMENT
Umashankar Venkatesh, Jones Mathew, R. Ojha, A. K. Agarwal
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Abstract

PurposeThe decision to select one amongst many choices of higher education institutions (HEIs) is a complex process. At a theory-building level, this study investigates the determinants of students' decisions as they consider investing in a long-term credence service higher education (HE) contract in pre- and in-pandemic and the implications for education managers. The second aspect is how disruptive global events influence such choice-making.Design/methodology/approachThe study hypothesized that there would be significant differences in the driving factors and their weight in students' decisions seeking admission into B-schools (Business schools). Structural equation modeling (SEM) and t-test validate the determinants and test hypothesized differences.FindingsResults reveal that core faculty quality, industry exposure, institutional brand name, placement offered, return on investment and specializations offered are the preferred choice criteria. The results reveal that choice criteria in the pre-and in-pandemic differ significantly.Originality/valueThe application of the SEM approach on a large primary database of students during the pre and in-pandemic periods to understand the changes in the choice of B-school for admission is the original aspect of the paper. Insights from the four hypotheses which got rejected provide value to stakeholders. As the pandemic is rearing its head once again across the globe, this study would be able to inform admissions managers on how to navigate for admissions success.
高等教育机构选择驱动因素建模:大流行前和流行中对印度商学院的研究
目的在高等教育机构的众多选择中选择一所是一个复杂的过程。在理论构建层面,本研究调查了学生在疫情前和疫情期间考虑投资于长期信用服务高等教育(HE)合同时的决策决定因素,以及对教育管理者的影响。第二个方面是破坏性的全球事件如何影响这种选择。设计/方法/方法该研究假设,在学生寻求进入商学院的决定中,驱动因素及其权重存在显著差异。结构方程建模(SEM)和t检验验证了决定因素,并检验了假设的差异。研究结果显示,核心师资素质、行业知名度、机构品牌、提供的职位、投资回报率和提供的专业是首选标准。结果表明,疫情前和疫情中的选择标准存在显著差异。独创性/价值SEM方法在疫情前和疫情期间学生的大型初级数据库中的应用,以了解B校录取选择的变化,这是本文的独创性。从四个被拒绝的假设中得出的见解为利益相关者提供了价值。随着疫情再次在全球蔓延,这项研究将能够为招生管理人员提供如何成功招生的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.50
自引率
3.20%
发文量
30
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