CONSUMER'S BEHAVIOR CHANGE BASED ON THE ARRIVAL OF A NEW PRODUCT TO THE MARKET: THE CASE OF ELECTRIC VEHICLES

本论文以中国及全球的消费者为研究对象。中国电动汽车的迅猛发展深刻影响了人们的购车选择。在本研究中，我们运用变分法，更确切地说是拉格朗日公式，来分析全球不同地区电动汽车的销售动态。我们 然后确定系统的自由参数，并将这些自由参数与全球消费者的心理和行为联系起来。这项研究意义重大，因为电动汽车是一种新产品，它们在市场上的出现会影响消费者的行为和选择。不同地区的经济和文化方面是理解电动汽车购买动态的关键因素。网络数据调查是通过网络收集客户数据，主要分析客户选择有轨电车的因素。现有研究已经确定了影响消费者选择有轨电车的 X 个因素：价格、舒适度、实用性和性价比。随着电动汽车的快速发展，吸引新消费者的同时留住现有消费者也是许多汽车行业的挑战。因此，电动汽车制造商是否应该避免卷入价格战，通过降低产品质量和价格来吸引更多的消费者，以牺牲可持续发展为代价？相反，他们应该优先考虑消费者的实际需求，并尽最大努力满足他们的期望。

This thesis chooses consumers in China and the world as the research object. The rapid
development of electric vehicles in China has profoundly affected people's choice of cars. In this
research, we use the variational methods, or more specifically the Lagrangian formulation, in
order to analyze the dynamics of electric vehicles sold in different places around the world. We
then identify the free-parameters of the system and we relate these free-parameters to the
psychology and behavior of the consumers worldwide.
This study is of great significance because the electric vehicles are a new product and their
appearance in the market affects the consumer behavior and choice.
The economy and cultural aspects of different regions are key factors for understanding the
purchasing dynamics of electric vehicles.
Network data survey is to collect customer data through the network, which mainly analyzes the
factors that customers choose for trams. Existing studies have identified X factors that influence
consumers' choice of trams: price, comfort, practicality, and cost performance. With the rapid
development of electric vehicles, attracting more new consumers while retaining existing
consumers is also a challenge for many automotive industries. Therefore, should electric vehicle
manufacturers avoid getting involved in a price war and attract more consumers by reducing
product quality and lowering prices, at the expense of sustainable development? Instead, they
should give priority to the actual needs of consumers and do their best to meet their expectations.