Title: Modelling and analysis of key enablers of digital transformation in food SMEs using ISM and MICMAC approach

Authors: Bhavesh Chandrayan; Sumit Gupta; Ravinder Kumar; Govind Sharan Dangayach; Sandeep Jagtap

Addresses: Department of Mechanical Engineering, Amity School of Engineering and Technology, Amity University, Uttar Pradesh, Noida, 201313, India ' Department of Mechanical Engineering, Amity School of Engineering and Technology, Amity University, Uttar Pradesh, Noida, 201313, India ' Department of Mechanical Engineering, Amity School of Engineering and Technology, Amity University, Uttar Pradesh, Noida, 201313, India ' Department of Mechanical Engineering, Malaviya National Institute of Technology Jaipur, 302017, India ' Sustainable Manufacturing Systems Centre, Cranfield University, Building 50, Cranfield MK43 0AL, UK

Abstract: The food business in India is the backbone of the country, meeting the fundamental human need of food for a large portion of the country's population while also exporting it to other countries. Small and medium-sized enterprises (SMEs) account for the major share of total food production, even though they lack the necessary technological infrastructure and operating standards. Due to COVID-19 crisis, the food sector has been obliged to resolve and upgrade to the new laws tralatitious by the government, which has significantly stimulated the long-awaited digital transformation of food SMEs in India. The purpose of this study is to identify and analyse the major enablers of digital transformation in food SMEs. The interpretive structural modelling (ISM) methodology has been used to categorise the identified enablers of digital transformation, which further helps in identifying the most proactive enabler and assess the integration of other enablers in the technological paradigm.

Keywords: digital transformation; enablers; Industry 4.0; interpretive structural modelling; ISM; food SMEs; MICMAC.

DOI: 10.1504/IJIE.2023.133826

International Journal of Intelligent Enterprise, 2023 Vol.10 No.4, pp.419 - 444

Accepted: 21 Feb 2022
Published online: 04 Oct 2023 *

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