Title page for etd-0713122-152824


URN etd-0713122-152824 Statistics This thesis had been viewed 68 times. Download 5 times.
Author Chun-Chung Liao
Author's Email Address lcc531030@gmail.com
Department Institute of Industrial Management
Year 2021 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 62
Title A Research Study on The Relationship among Real Estate Agents Customer Service, CSAT and Customer Royalty¡V an Empirical Study on Real Estate Agents in Songshan ¡B Xinyi ¡B Nangang
Keyword
  • Service Quality¡B Customer Satisfaction¡B Customer
  • Service Quality¡B Customer Satisfaction¡B Customer
  • Abstract After COVID-19, economic slump has bottomed out and ultra-low interest rate
    environment for housing market in 2021. The aim of this research was to determine the effect of customer satisfaction (CSAT) and customer loyalty and service quality was Taipei. The samples of this study were 328 persons. We use EFA, independent sample t test, ANOVA, Pearson to do a constitute a part of the research methodology. The result of this research confirmed that the income factor of people is a significant condition to service quality, the income factor of people is a significant condition to CSAT and the income factor of people is a significant condition to customer royalty. The result of the study found that¡G
    1. There is an obvious positive relationship between some factors of people and Service Quality.
    2. There is an obvious positive relationship between some factors of people and CSAT.
    3. There is no obvious positive relationship between some factors of people and Customer Royalty.
    4. There is obvious corresponding relationship between Service Quality and CSAT.
    5. There is obvious corresponding relationship between Service Quality and Customer Royalty.
    6. There is obvious corresponding relationship between CSAT and Customer Royalty.
    Keywords¡G Service Quality¡B Customer Satisfaction¡B Customer Royalty
    Advisor Committee
  • Chiu-Tang Lin - advisor
  • Chun-Han Shih - co-chair
  • Tung Liang Chen - co-chair
  • Files indicate access worldwide
    Date of Defense 2022-06-24 Date of Submission 2022-07-13

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