To read this content please select one of the options below:

Modelling the factors in the adoption of artificial intelligence in Indian management institutes

Samant Shant Priya (Department of Marketing Management, Lal Bahadur Shastri Institute of Management, New Delhi, India)
Vineet Jain (Department of Mechanical Engineering, Mewat Engineering College, Nuh, India)
Meenu Shant Priya (School of Business, Galgotias University, Greater Noida, India)
Sushil Kumar Dixit (Department of Strategic Management, Lal Bahadur Shastri Institute of Management, Delhi, India)
Gaurav Joshi (Department of Marketing Management, Lal Bahadur Shastri Institute of Management, Delhi, India)

Foresight

ISSN: 1463-6689

Article publication date: 17 March 2022

Issue publication date: 16 March 2023

849

Abstract

Purpose

This study aims to examine which organisational and other factors can facilitate the adoption of artificial intelligence (AI) in Indian management institutes and their interrelationship.

Design/methodology/approach

To determine the factors influencing AI adoption, a synthesis-based examination of the literature was used. The interpretative structural modelling (ISM) method is used to determine the most effective factors among the identified ones and the inter-relationship among the factors, while the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used to analyse the cause-and-effect relationships among the factors in a quantitative manner. The approaches used in the analysis aid in understanding the relationship among the factors affecting AI adoption in management institutes of India.

Findings

This study concludes that leadership support plays the most significant role in the adoption of AI in Indian management institutes. The results from the DEMATEL analysis also confirmed the findings from the ISM and Matrice d’ Impacts croises- multiplication applique and classment (MICMAC) analyses. Remarkably, no linkage factor (unstable one) was reported in the research. Leadership support, technological context, financial consideration, organizational context and human resource readiness are reported as independent factors.

Practical implications

This study provides a listing of the important factors affecting the adoption of AI in Indian management institutes with their structural relationships. The findings provide a deeper insight about AI adoption. The study's societal implications include the delivery of better outcomes by Indian management institutes.

Originality/value

According to the authors, this study is a one-of-a-kind effort that involves the synthesis of several validated models and frameworks and uncovers the key elements and their connections in the adoption of AI in Indian management institutes.

Keywords

Citation

Shant Priya, S., Jain, V., Priya, M.S., Dixit, S.K. and Joshi, G. (2023), "Modelling the factors in the adoption of artificial intelligence in Indian management institutes", Foresight, Vol. 25 No. 1, pp. 20-40. https://doi.org/10.1108/FS-09-2021-0181

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

Related articles