| URN | etd-0728121-135549 | Statistics | This thesis had been viewed 90 times. Download 1 times. |
| Author | Jun-Ying Huang | ||
| Author's Email Address | No Public. | ||
| Department | Institute Of Mechanical Engineering | ||
| Year | 2020 | Semester | 2 |
| Degree | Master | Type of Document | Master's Thesis |
| Language | zh-TW.Big5 Chinese | Page Count | 91 |
| Title | Analysis of Purchase Intentions for New Energy Vehicles | ||
| Keyword | |||
| Abstract | Due to the worsening situation of the global warming, governments of various countries have formulated plans to ban the sale of petrol cars in the future and the European Union has gradually increased its vehicle emission standards. In response, car manufacturers have begun to develop new energy vehicles, such as hybrid electric vehicles and electric vehicles. This paper investigates consumers¡¦ purchasing intentions for hybrid electric vehicles and electric vehicles, using both paper and online questionnaires as the survey tools and the SPSS software to perform the reliability analysis, descriptive statistics, independent sample t test and the one-way analysis of variance. Based on the results of the survey, the acceptability of and the opinions on the current hybrid electric vehicles and electric vehicles on the market for the general public are also explored. The research results have shown that there are significant differences in purchasing decisions between different genders; different age groups demonstrate significant differences in purchasing decisions, perceived risk, brand/vehicle dependence, product/consumer innovation, product involvement/knowledge, and product attributes; the same results are also observed for customers with diverse monthly incomes; for different occupation groups and for customers with dissimilar education levels, the same results excluding the product/consumer innovation, and excluding the perceived risk and the brand/vehicle dependence, respectively, are found in this research. In addition to the above results, it can be concluded that the factors affecting consumers¡¦ purchase intentions for hybrid electric vehicles/electric vehicles are price, endurance, battery consumption, warranty period, vehicle style, handling and vehicle-related expenses. |
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| Files | indicate in-campus access immediately and off-campus access at 3 years | ||
| Date of Defense | 2021-07-20 | Date of Submission | 2021-07-28 |