Electric Vehicle Adoption Barriers in Thailand

Tsai, Jung-Fa; Wu, Sheng-Che; Kathinthong, Pajaree; Tran, Thu-Hien; Lin, Ming-Hua

doi:10.3390/su16041642

Cited by 4 publications

(2 citation statements)

References 40 publications

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“…In the second phase, the interrelationship among the finalised barriers is identified. Several methods are available in the literature to identify the causal relationship, such as Interpretative Structural Modelling (ISM), Total Interpretative Structural Modelling (TISM), Weighted-Influence Non-linear Gauge System (WINGS), and DEMATEL [43,44]. These approaches have some drawbacks, particularly TISM and ISM [45].…”

Section: Methodsmentioning

confidence: 99%

“…For this reason, it is preferable to investigate the causal relationships between the finalised barriers using DEMATEL. Tsai et al [43] and Yazo-Cabuya et al [48] describe the DEMATEL approach as a decision-making strategy that relies on paired comparisons. This approach, which is component-based and micro-focused, may be used to analyse and make decisions in complex systems [46,49].…”

Section: Methodsmentioning

confidence: 99%

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Analysing the Barriers of Strategic Entrepreneurship: A DEMATEL Approach

Khan,

Fatma,

Ali

et al. 2024

Sustainability

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Entrepreneurship research has developed in the last twenty years and now the focus is on Strategic Entrepreneurship (SE). SE can provide the sustainable growth of an organisation and increase its competitiveness globally. Despite these advantages, developing countries cannot reap the benefits of SE due to various barriers. Therefore, this study aims to identify and model the barriers of SE to the development of organisational management. Initially, the barriers of SE are identified through a literature review and further validated with a domain expert. The causal relationship among the barriers is modelled using the decision-making trial and evaluation laboratory (DEMATEL) method. The result suggests that low awareness of SE, risk aversion, and low financial support are the major barriers in the development of SE that need to be mitigated. Further, this analysis also categorises these barriers into a cause-and-effect group. Six barriers belong to the cause group and the remaining four are part of the effect group. Knowledge of the barriers is helpful for policymakers to design development strategies and helps business development managers in the successive planning of the organisation. The understanding of the interrelationship among the barriers will help the organisation to remove these barriers in an optimal manner. The findings of the study will be helpful for top management and strategic planners to advance design thinking and strategic planning. The contribution of this research lies in the identification of barriers to SE and their causal relationships, which have been scarcely examined in the existing literature.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Analysing the Barriers of Strategic Entrepreneurship: A DEMATEL Approach

Khan,

Fatma,

Ali

et al. 2024

Sustainability

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Analyzing barriers to the adoption and development of electric vehicles: A roadmap towards sustainable transportation system

Zhang,

Irfan,

et al. 2024

Renewable Energy

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Adaptive Multi-Agent Reinforcement Learning for Optimizing Dynamic Electric Vehicle Charging Networks in Thailand

Jamjuntr,

Techawatcharapaikul,

Suanpang

2024

WEVJ

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The rapid growth of electric vehicles (EVs) necessitates efficient management of dynamic EV charging networks to optimize resource utilization and enhance service reliability. This paper explores the application of adaptive multi-agent reinforcement learning (MARL) to address the complexities of EV charging infrastructure in Thailand. By employing MARL, multiple autonomous agents learn to optimize charging strategies based on real-time data by adapting to fluctuating demand and varying electricity prices. Building upon previous research that applied MARL to static network configurations, this study extends the application to dynamic and real-world scenarios, integrating real-time data to refine agent learning processes and also evaluating the effectiveness of adaptive MARL in maximizing rewards and improving operational efficiency compared to traditional methods. Experimental results indicate that MARL-based strategies increased efficiency by 20% and reduced energy costs by 15% relative to conventional algorithms. Key findings demonstrate the potential of extending MARL in transforming EV charging network management, highlighting its benefits for stakeholders, including EV owners, operators, and utility providers. This research contributes insights into advancing electric mobility and energy management in Thailand through innovative AI-driven approaches. The implications of this study include significant improvements in the reliability and cost-effectiveness of EV charging networks, fostering greater adoption of electric vehicles and supporting sustainable energy initiatives. Future research directions include enhancing MARL adaptability and scalability as well as integrating predictive analytics for proactive network optimization and sustainability. These advancements promise to further refine the efficacy of EV charging networks, ensuring that they meet the growing demands of Thailand’s evolving electric mobility landscape.

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Electric Vehicle Adoption Barriers in Thailand

Cited by 4 publications

References 40 publications

Analysing the Barriers of Strategic Entrepreneurship: A DEMATEL Approach

Analysing the Barriers of Strategic Entrepreneurship: A DEMATEL Approach

Analyzing barriers to the adoption and development of electric vehicles: A roadmap towards sustainable transportation system

Adaptive Multi-Agent Reinforcement Learning for Optimizing Dynamic Electric Vehicle Charging Networks in Thailand

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