Sectoral Suitability of Digital Transformation Readiness and Maturity Models in Indonesia
A Comparative Framework Analysis
DOI:
https://doi.org/10.54099/jdemp.v2i1.576Keywords:
Comparative Framework Analysis, Digital Transformation Readiness, INDI 4.0, Indonesian Industry, KBLI 2020, Smart Industry Readiness Index (SIRI)Abstract
Purpose – This study aims to compare five digital transformation readiness and maturity assessment models—the Smart Industry Readiness Index (SIRI), Indonesia Industry 4.0 Readiness Index (INDI 4.0), acatech Industrie 4.0 Maturity Index, Digital Maturity Model (DMM), and Digital Transformation Readiness Model—and map their suitability to industrial sectors in Indonesia.
Methodology/approach – A qualitative, literature-based comparative framework analysis was employed. The models were evaluated according to their objectives, main focus, measurement dimensions, readiness–maturity orientation, sectoral applicability, and relevance to the Indonesian context, with reference to the KBLI 2020 classification.
Findings – The findings show that no single model is universally suitable. SIRI and INDI 4.0 are most appropriate for manufacturing because of their emphasis on factory operations, automation, production integration, and Industry 4.0 readiness. The Digital Transformation Readiness Model is more suitable for non-manufacturing sectors requiring organizational readiness assessment, while acatech and DMM are more appropriate for organizations evaluating digital maturity after implementation.
Novelty/value – This study provides a sector-sensitive decision guide that links assessment-model characteristics with industrial context and transformation stage, helping Indonesian organizations select a more appropriate digital readiness or maturity framework.
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