Customer Service Knowledge Management System in Application of Electronic Science and Technology Industry

碩士 === 國立臺北科技大學 === 工業工程與管理研究所 === 98 === Nowadays, the competitions in society industry are getting fiercer than ever. How to stand out from the crowd in a competitive market to be the leader is the goal in many enterprises. In order to achieve this goal, the companies not only improve the tech...

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Main Authors: Kung-Yui Liu, 劉康宇
Other Authors: 林榮禾
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/bs7dgz
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spelling ndltd-TW-098TIT051170272019-05-15T20:33:24Z http://ndltd.ncl.edu.tw/handle/bs7dgz Customer Service Knowledge Management System in Application of Electronic Science and Technology Industry 客訴服務知識管理系統於電子科技業之應用 Kung-Yui Liu 劉康宇 碩士 國立臺北科技大學 工業工程與管理研究所 98 Nowadays, the competitions in society industry are getting fiercer than ever. How to stand out from the crowd in a competitive market to be the leader is the goal in many enterprises. In order to achieve this goal, the companies not only improve the technology, quality, design and cost, but also introduced “customer primarily” to enhance the competitiveness of enterprises; thus many high-tech companies in Taiwan define themselves are “customer-oriented” service industry to achieve world-class enterprise standard. How to handle customer complaints and questions in a timely and proper manner is an issue of paramount importance in “customer-oriented” businesses, which has accordingly triggered extensive studies in recent years. An online customer service system capable of automatically classifying incoming questions and providing immediate responses will thus be a valuable asset in enhancing service quality and customer satisfaction. To save internal labor costs and time costs, it is necessary to reduce redundant duplication information dealing with the same or frequency questions for the sake of facilitating real-time responses to customers. The study is proposing the set of semi-automated customer service system with the concept of two-stage approach to carry out: (1). Automatic Classification ︰ First, using text mining techniques to classify the initial customer messages automatically. Second, using the system sends classified messages to the responsible departments respectively. (2). Customer Problems Automatic Reply︰Application case based reasoning technology, and the case keywords for similarity matching. Compared to customer questions, the highly similar case can immediately reply to customer. Reference to the past solution processing, real-time and reply promptly to customer, will enhance customer satisfaction and corporate loyalty. 林榮禾 2010 學位論文 ; thesis 65 zh-TW
collection NDLTD
language zh-TW
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sources NDLTD
description 碩士 === 國立臺北科技大學 === 工業工程與管理研究所 === 98 === Nowadays, the competitions in society industry are getting fiercer than ever. How to stand out from the crowd in a competitive market to be the leader is the goal in many enterprises. In order to achieve this goal, the companies not only improve the technology, quality, design and cost, but also introduced “customer primarily” to enhance the competitiveness of enterprises; thus many high-tech companies in Taiwan define themselves are “customer-oriented” service industry to achieve world-class enterprise standard. How to handle customer complaints and questions in a timely and proper manner is an issue of paramount importance in “customer-oriented” businesses, which has accordingly triggered extensive studies in recent years. An online customer service system capable of automatically classifying incoming questions and providing immediate responses will thus be a valuable asset in enhancing service quality and customer satisfaction. To save internal labor costs and time costs, it is necessary to reduce redundant duplication information dealing with the same or frequency questions for the sake of facilitating real-time responses to customers. The study is proposing the set of semi-automated customer service system with the concept of two-stage approach to carry out: (1). Automatic Classification ︰ First, using text mining techniques to classify the initial customer messages automatically. Second, using the system sends classified messages to the responsible departments respectively. (2). Customer Problems Automatic Reply︰Application case based reasoning technology, and the case keywords for similarity matching. Compared to customer questions, the highly similar case can immediately reply to customer. Reference to the past solution processing, real-time and reply promptly to customer, will enhance customer satisfaction and corporate loyalty.
author2 林榮禾
author_facet 林榮禾
Kung-Yui Liu
劉康宇
author Kung-Yui Liu
劉康宇
spellingShingle Kung-Yui Liu
劉康宇
Customer Service Knowledge Management System in Application of Electronic Science and Technology Industry
author_sort Kung-Yui Liu
title Customer Service Knowledge Management System in Application of Electronic Science and Technology Industry
title_short Customer Service Knowledge Management System in Application of Electronic Science and Technology Industry
title_full Customer Service Knowledge Management System in Application of Electronic Science and Technology Industry
title_fullStr Customer Service Knowledge Management System in Application of Electronic Science and Technology Industry
title_full_unstemmed Customer Service Knowledge Management System in Application of Electronic Science and Technology Industry
title_sort customer service knowledge management system in application of electronic science and technology industry
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/bs7dgz
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