Volume 36, Issue 3 (IJIEPR- In Progress 2025)                   IJIEPR 2025, 36(3): 37-57 | Back to browse issues page


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Pujiyono R, Marimin M, Suroso A I, Djohar S. The Strategy Development of the Local Content Requirements Policy in Indonesia Paints Industry Supply Chain. IJIEPR 2025; 36 (3) :37-57
URL: http://ijiepr.iust.ac.ir/article-1-2219-en.html
1- School of Business of IPB University, Bogor, Indonesia
2- School of Business of IPB University, Bogor, Indonesia. , marimin@ipb.ac.id
3- Department of School of Management, PPM, Menteng, Jakarta, Indonesia.
Abstract:   (365 Views)
The Indonesian paint industry contributes significantly to the national economy but remains highly dependent on imported raw materials, constituting approximately 77% of the total supply. This study aims to develop strategic solutions to increase local content and reduce import dependency by applying the Analytic Hierarchy Process (AHP) and Interpretive Structural Modeling (ISM). Based on AHP results, Capacity Building and Workforce Development emerged as the top-ranked strategy, with a final priority value of 0.330, followed by Strengthening Local Supply Chain (0.262). ISM analysis identified the Centre for Increasing Local Content as a key institutional driver influencing other actors in the supply chain. The sensitivity analysis confirmed the robustness of the AHP prioritization, showing less than 5% variation in rankings across multiple expert input scenarios. This indicates that the proposed strategies are stable and reliable under varying assumptions. The research provides a structured, multi-criteria framework aligning local strategies with national policy and international trade obligations. The study offers policymakers and industry leaders practical insights by integrating technology, human capital, and supply chain optimization to support a resilient and sustainable local content policy. Integrating AHP and ISM methods presents a novel approach, contributing original insights to the industrial strategy literature.
Full-Text [PDF 451 kb]   (78 Downloads)    
Type of Study: Research | Subject: Decision Analysis and Methods
Received: 2024/12/14 | Accepted: 2025/06/11 | Published: 2025/09/8

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