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Mapping the barrier of halal food industry performance and the policy insight: combination of ISM-DEMATEL approach Cover

Mapping the barrier of halal food industry performance and the policy insight: combination of ISM-DEMATEL approach

Open Access
|Dec 2024

Abstract

The study aims to understand interlinkages and the relative importance of barriers to maximising the performance of the halal industry in Indonesia using Integrated Interpretive Structural Modelling (ISM) and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology. This study uses the content validity method to find the relevant or valid barrier, the ISM methodology to examine the interrelationship between the valid barriers, and the DEMATEL methodology to find the cause–effect relationships and revise the ISM digraph. To the best of the authors’ knowledge, this study is the first to investigate the barriers to systematically maximising halal industry performance in Indonesia, elaborating on the relationship between relevant theories and practical issues to identify the barriers. The study’s integrated approach helps corporate and political decision-makers identify essential barriers to development and explore the interdependencies between barriers. This can help decision-makers overcome critical obstacles, use resources more efficiently, and find innovative solutions for the industry’s viability and dynamic development.

DOI: https://doi.org/10.2478/emj-2024-0034 | Journal eISSN: 2543-912X | Journal ISSN: 2543-6597
Language: English
Page range: 69 - 95
Submitted on: Jan 17, 2024
Accepted on: Sep 30, 2024
Published on: Dec 24, 2024
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Aries Susanty, Nia Budi Puspitasari, Shinta Devi Mariana, Mária Fekete-Farkas, Balázs Gyenge, La Ode Nazaruddin, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.