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Modeling the enablers of AACSB implementation in business schools: ISM-Fuzzy MICMAC analysis

Goutam Kumar Kundu (Alliance School of Business, Alliance University, Bengaluru, India)
M.V. Moovendhan (Center for Management Studies (CMS), Jain University, Bangalore, India)
Nilesh G. Wankhade (Cognizant Technology Solutions, Teaneck, New Jersey, USA)

Journal of Applied Research in Higher Education

ISSN: 2050-7003

Article publication date: 14 November 2023

Issue publication date: 27 November 2024

56

Abstract

Purpose

The study aims to explore and classify the key enablers of the Association to Advance Collegiate Schools of Business (AACSB) implementation in business schools.

Design/methodology/approach

By applying the Interpretive Structural Model (ISM) approach, it builds a hierarchical model of the identified enablers of AACSB implementation. Additionally, the Fuzzy Matriced Impacts Croises-Multiplication Applique and Classement (FMICMAC) technique is used to classify and determine the influence of these enablers on the implementation of AACSB accreditation.

Findings

The paper presents an ISM model of the identified enablers and draws managerial insight from it. Categorization of the key enablers into four groups helps in understanding the relative influence of each group of enablers on the AACSB implementation in business schools.

Research limitations/implications

The proposed model of the key enablers will help business schools that are pursuing AACSB accreditation prioritize the enablers. As the study has considered experts' opinions to establish the model, some amount of bias cannot be discounted.

Originality/value

The development of the ISM model of the key enablers of AACSB implementation in business schools is a unique attempt. The findings will help business schools focus on the key enablers that influence implementation of AACSB standards.

Keywords

Citation

Kundu, G.K., Moovendhan, M.V. and Wankhade, N.G. (2024), "Modeling the enablers of AACSB implementation in business schools: ISM-Fuzzy MICMAC analysis", Journal of Applied Research in Higher Education, Vol. 16 No. 5, pp. 1688-1705. https://doi.org/10.1108/JARHE-06-2023-0265

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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