A Multi-Methodological Framework for Electric Vehicle Policy in Emerging Economies: Integrating Soft Systems Methodology, Innovation Diffusion Theory, Principal-Agent Theory, and Strategic Choice Approach through a Systematic Literature Review
DOI:
https://doi.org/10.31098/ijmesh.v10i1.4356Keywords:
Soft Systems Methodology, Multi-Methodology Integration, Electric Vehicle Policy, Wicked Problems, Emerging Economies, Systematic Literature ReviewAbstract
Electric vehicle (EV) adoption in emerging economies is shaped by interacting technical, economic, institutional, and behavioral factors. In Indonesia, despite substantial fiscal and non-fiscal incentives, EV adoption remains below 1% of vehicle sales, reflecting persistent misalignment among government targets, industry capabilities, and consumer acceptance. Existing studies tend to analyze these challenges in isolation and rarely integrate behavioral and institutional dimensions within a single coherent framework suited to such "wicked" policy problems. This study is conceptual and methodological in nature. Through a systematic literature review (SLR) of 81 articles, supported by a System of Systems Methodologies (SOSM) analysis and refined by a pilot workshop with Indonesian experts, it develops an integrated problem-structuring framework. The review indicates that Problem Structuring Methods, particularly Soft Systems Methodology (SSM), remain underutilized in emerging-economy transport policy. On this basis, the study proposes a six-stage integration protocol that positions SSM as the methodological backbone, complemented by Innovation Diffusion Theory (IDT), Principal-Agent Theory (PAT), and Strategic Choice Approach (SCA), spanning problem exploration, innovation analysis, incentive mapping, conceptual modeling, uncertainty management, and implementation strategy. The framework offers a structured way to combine interpretive, behavioral, institutional, and strategic perspectives while maintaining theoretical coherence. Its applicability is illustrated through an exploratory application to Indonesia's EV charging-infrastructure policy, with broader empirical validation identified as a priority for future research.
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