Customer Value Analysis in Security Industry

碩士 === 國立臺北大學 === 企業管理學系碩士在職專班 === 102 === In recent years, economic events such as European debt crisis, the United States fiscal cliff, petrol and electricity prices rising and the taxation on capital gains on securities in Taiwan disrupted the stock market and caused the turbulence. The persisten...

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Main Authors: Huang,Chih-Min, 黃志敏
Other Authors: Chiu, Kuang-Hui
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/31719980765914853515
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spelling ndltd-TW-102NTPU11210032016-02-21T04:21:00Z http://ndltd.ncl.edu.tw/handle/31719980765914853515 Customer Value Analysis in Security Industry 證券業顧客價值分析之研究 Huang,Chih-Min 黃志敏 碩士 國立臺北大學 企業管理學系碩士在職專班 102 In recent years, economic events such as European debt crisis, the United States fiscal cliff, petrol and electricity prices rising and the taxation on capital gains on securities in Taiwan disrupted the stock market and caused the turbulence. The persistency of capital flight and the lack of momentum on trading volume in stock market made it even worse. How to create higher customer value and build customer loyalty becomes a critical issue for security dealers. Even with the limitation upon the enterprise resources, this study not only intends to define the customers groups in different values, but also brings up the corresponding management strategies. This study (based on RFMLI five variables) design used Kohonen Net and K-Means two stages clustering in combination with Reinartz and Kumar (2002) - Loyalty Strategic Matrix analysis, which successfully segment active customers to four groups including True Friends, Butterflies, Strangers and Barnacles. Security dealers can dedicate themselves to targeted customers and proactively offer specific services to enhance their customer relationship management and customer loyalty. Moreover, the study applies Decision Tree C5.0 and Logistic Regression algorithm on the result of clustering to establish customer value and behavior analysis model and customer investment preference scoring model. All these are expected to apply on the development of customer business strategy and are also able to be implemented into the databases for the future review. This research can assist the enterprise to develop a deeper relationship with the customers, further achieve the database marketing project for the targeted investment behaviors and persistently enhance the models and regulations in the future. This is provided for security dealers’ reference and it could be of help in some ways. Chiu, Kuang-Hui 邱光輝 2014 學位論文 ; thesis 79 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺北大學 === 企業管理學系碩士在職專班 === 102 === In recent years, economic events such as European debt crisis, the United States fiscal cliff, petrol and electricity prices rising and the taxation on capital gains on securities in Taiwan disrupted the stock market and caused the turbulence. The persistency of capital flight and the lack of momentum on trading volume in stock market made it even worse. How to create higher customer value and build customer loyalty becomes a critical issue for security dealers. Even with the limitation upon the enterprise resources, this study not only intends to define the customers groups in different values, but also brings up the corresponding management strategies. This study (based on RFMLI five variables) design used Kohonen Net and K-Means two stages clustering in combination with Reinartz and Kumar (2002) - Loyalty Strategic Matrix analysis, which successfully segment active customers to four groups including True Friends, Butterflies, Strangers and Barnacles. Security dealers can dedicate themselves to targeted customers and proactively offer specific services to enhance their customer relationship management and customer loyalty. Moreover, the study applies Decision Tree C5.0 and Logistic Regression algorithm on the result of clustering to establish customer value and behavior analysis model and customer investment preference scoring model. All these are expected to apply on the development of customer business strategy and are also able to be implemented into the databases for the future review. This research can assist the enterprise to develop a deeper relationship with the customers, further achieve the database marketing project for the targeted investment behaviors and persistently enhance the models and regulations in the future. This is provided for security dealers’ reference and it could be of help in some ways.
author2 Chiu, Kuang-Hui
author_facet Chiu, Kuang-Hui
Huang,Chih-Min
黃志敏
author Huang,Chih-Min
黃志敏
spellingShingle Huang,Chih-Min
黃志敏
Customer Value Analysis in Security Industry
author_sort Huang,Chih-Min
title Customer Value Analysis in Security Industry
title_short Customer Value Analysis in Security Industry
title_full Customer Value Analysis in Security Industry
title_fullStr Customer Value Analysis in Security Industry
title_full_unstemmed Customer Value Analysis in Security Industry
title_sort customer value analysis in security industry
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/31719980765914853515
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