Title page for etd-0105114-121324


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URN etd-0105114-121324
Author Feng-Cheng Shieh
Author's Email Address free3724771@gmail.com
Statistics This thesis had been viewed 5377 times. Download 108 times.
Department Information Management
Year 2013
Semester 1
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Using CRM Data for Customer Loyalty Prediction – A Case Study in Electrical & Electronic Industry
Date of Defense 2014-01-24
Page Count 62
Keyword
  • Customer Relationship Management
  • Logistic Regression
  • Brand
  • Loyalty
  • Abstract Due to the advances in information and internet technology, customers nowadays can easily acquire information about prices and specifications of desired products. Thus, how to differentiate from other similar products in the market or even customized products has become a key factor for companies that try to thrive in today’s competitive market. To do so, companies need to understand their customers, and many of them have employ CRM related systems to collect data about their customers and subsequently perform analysis on the data. The intention is to retain the customers by establishing customer loyalty, which will in turn reduce the cost of maintaining customers and marketing.
       In this research, we focus on the electric and electronic (EE) industry and analyze the CRM database from the Taiwan branch of an international EE firm To allow for more comprehensive analysis, we further include inquiry and marketing information to predict customer’s loyalty. Our research findings as listed as follows:
    1. Customers in machine building etc. industry and service times are positively related to loyalty because more service times allow the company to interact more with the customer and subsequently build trust.
    2. The transaction waiting time is reversely related to loyalty. Note that in EE industry, product prices are usually high and their specifications are complicated. Loyal customers rely more on the company’s professional judgment and thus spend less time on making their own judgment.
    Advisory Committee
  • C. M. Chiu - chair
  • Wan-Shiou Yang - co-chair
  • S.Y. Hwang - advisor
  • Files
  • etd-0105114-121324.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2014-02-12

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