In order to achieve worldwide Net zero carbon emission, global greenhouse gas emission need to be reduced. Electrical vehicle (EV) enhances green and clean technology which potentially enable a low carbon emission over conventional vehicle. However, EVs adoption in previous study, the consumer perspective has been widely studied which different from industry perspective. In addition, the result mostly done with one methodology and demonstrate only weighting without relationship among factors. Therefore, this study intends to identify, prioritize, display relationship between EVs adoption barriers for automotive industry perspective by using analytic network process (ANP) and decision-making trial and evaluation laboratory (DEMATEL) method.
The 12 barriers were identified from previous researches. The listed barriers were separated into 5 categories: financial, infrastructure, technology, customer behavior and policy. Then two multi-criteria decision making (MCDM) method were applied and compared for analysis. The result from two method consistently shows that Battery capacity and lifespan barrier from technology category has the highest weighing and influencing on other barriers. The second weighting ranked barrier is Government support. For the third and fourth place, the result from 2 methods swaps between Impacts of tax and subsidy policies and High manufacturing cost. The study provides 2 contributions. First, the identified and prioritized barriers that automakers encounter to EVs transition also explored the interrelationships among these barriers. Second, a model comparison of two multi-criteria decision-making approaches for prioritizing and identifying the interlinkages amongst EV uptake barriers.

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