Title page for etd-0825121-141541


URN etd-0825121-141541 Statistics This thesis had been viewed 89 times. Download 0 times.
Author Su-mei Chang
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 66
Title The influence of brand image, service quality and professional knowledge on customer behavior intentions-a case of locomotive dealers
Keyword
  • behavior intention
  • customer satisfaction
  • professional knowledge
  • service quality
  • Brand image
  • Brand image
  • service quality
  • professional knowledge
  • customer satisfaction
  • behavior intention
  • Abstract This study will take a dealer as an example, and use multiple regression analysis to explore the relationship between dealer¡¦s brand image, dealer¡¦s service quality, professional knowledge, customer satisfaction, and customer¡¦s behavioral intentions, as well as the perception of customer background information on behavioral intentions. There are significant differences. Taking the consumers of a certain dealership in Taipei City as the subject of the study, we compare the differences of different variables. Through in-depth discussion, the following research results were obtained¡G
    1. There is a significant difference between the number of visits by consumers of a certain distributor to the behavioral intentions of customers.
    2. There is a significant difference between the consumer's educational background of a certain distributor and the behavioral intention of the customer.
    3. There is a significant difference between the brand image of a dealer and the behavioral intentions of customers.
    4. The service quality of a dealer has a significant difference to the behavioral intentions of customers.
    5. There is a significant difference between a dealer¡¦s customer satisfaction and the customer¡¦s behavioral intentions.
    This study conducted a sample questionnaire survey on the dealer¡¦s customers from September 1, 2020 to January 14, 2021. A total of 264 questionnaires were distributed and returned. Of the 250 copies, 13 invalid questionnaires were excluded, and a total of 237 valid questionnaires were recovered, with an availability rate of 94%. The research data is analyzed, summarized and classified by computer software packages such as the Chinese version of SPSS25.0 for windows. Finally, the results of multiple regression analysis are used to discover the key factors of brand image, service quality, and customer satisfaction to customer behavior intentions.
    Advisor Committee
  • none - advisor
  • none - advisor
  • none - co-chair
  • Files indicate in-campus access at 5 years and off-campus access at 5 years
    Date of Defense 2021-07-20 Date of Submission 2021-08-31

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