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Modeling higher education institutional choice drivers: a pre- and in-pandemic study of business schools in India
Journal of Advances in Management Research Pub Date : 2023-07-31 , DOI: 10.1108/jamr-02-2023-0044
Umashankar Venkatesh , Jones Mathew , Ravindra Ojha , Alpana Agarwal

Purpose

The 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/approach

The 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.

Findings

Results 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/value

The 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.



中文翻译:

高等教育机构选择驱动因素建模:对印度商学院的流行病前和流行中研究

目的

从众多高等教育机构 (HEIs) 中选择一所的决定是一个复杂的过程。在理论构建层面上,本研究调查了学生在考虑在大流行前和大流行期间投资长期学历服务高等教育(HE)合同时决策的决定因素以及对教育管理者的影响。第二个方面是破坏性全球事件如何影响这种选择。

设计/方法论/途径

该研究假设,学生就读商学院(商学院)的决定中的驱动因素及其权重存在显着差异。结构方程模型 (SEM) 和t检验验证决定因素并测试假设的差异。

发现

结果显示,核心师资质量、行业知名度、机构品牌、提供的安置、投资回报和提供的专业是首选标准。结果表明,大流行前和大流行期间的选择标准存在显着差异。

原创性/价值

将SEM方法应用于大流行前和大流行期间学生的大型小学数据库,以了解商学院入学选择的变化是本文的原创部分。被拒绝的四个假设的见解为利益相关者提供了价值。随着疫情在全球范围内再次抬头,这项研究将能够为招生经理提供如何引导招生取得成功的信息。

更新日期:2023-07-31
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