Identifying Performance Factors Impact on Motorcycle Purchase Intention of Z Generation
Department of Business Administration, FPT University, 90000, Can Tho City, Vietnam.
Dang Vo Gia Le
International Business, Faculty of Business Administration, FPT University, Can Tho City, Vietnam.
Son Hoang Tran
International Business, Faculty of Business Administration, FPT University, Can Tho City, Vietnam
Ngan Kim Huynh
International Business, Faculty of Business Administration, FPT University, Can Tho City, Vietnam
Thu Anh Nguyen
International Business, Faculty of Business Administration, FPT University, Can Tho City, Vietnam
Mo Nhu Pham
International Business, Faculty of Business Administration, FPT University, Can Tho City, Vietnam
Abstract
Electric vehicles (EVs) have emerged as a very efficient substitute for reducing pollutants associated with transportation. To promote the extensive use of electric automobiles (EVs) in the current transportation system, it is essential to have a comprehensive understanding of the factors that influence consumers' willingness to purchase EVs. The objective of this project is to enhance understanding of how Gen Z customers embrace electric automobiles. This will be achieved by developing a theoretical framework that combines the technological acceptance model (TAM) with the theory of planned behaviour (TPB). Additionally, it examines the essential factors that impact their buying choices. The primary objective of this research is to examine the factors that impact the likelihood of Generation Z customers to buy electric bikes. A total of 395 consumers in Can Tho, Vietnam were surveyed to collect data. The research findings are evaluated with Amos 25.0 and IBM SPSS. After using several experimental methodologies to assess the six hypotheses, it was concluded that technology, environmental consciousness, and mentality had a positive impact. Based on these findings, the research proposed measures for both businesses and the government to promote the growth of the electric motorcycle sector.