The Study of Distributors’Knowledge Sharing Using Personalized Recommendation and Case-Based Reasoning

碩士 === 國立彰化師範大學 === 資訊管理學系所 === 93 === Under the age of knowledge-based economy as Peter F•Drucker’s predicting–knowledge will become the most important production factor﹒Thus﹐knowledge management has become one important management issue for enterprise﹒In knowledge management﹐knowledge sharing is n...

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Bibliographic Details
Main Author: 葉信宏
Other Authors: 黃木榮
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/6n2x7q
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spelling ndltd-TW-093NCUE53960152019-05-15T19:18:40Z http://ndltd.ncl.edu.tw/handle/6n2x7q The Study of Distributors’Knowledge Sharing Using Personalized Recommendation and Case-Based Reasoning 應用個人化推薦與案例式推理於傳銷商知識分享之研究 葉信宏 碩士 國立彰化師範大學 資訊管理學系所 93 Under the age of knowledge-based economy as Peter F•Drucker’s predicting–knowledge will become the most important production factor﹒Thus﹐knowledge management has become one important management issue for enterprise﹒In knowledge management﹐knowledge sharing is not only the first step to create knowledge﹐but also the critical factor to affect success or failure﹒The key to implement the knowledge management is to bring knowledge sharing mechanism into full play﹒ Today multi-level marketing industry’s competition is not confined to the same industry﹒Facing competition multi-level marketing﹐ enterprises always think first to enhance the distributor’s ability because they stress on multiplication and duplication﹒Although the information technology is prospered﹐only a few multi-level marketing enterprises adopt the information technology to enhance the distributors’ ability﹒This study try to combine Case-Based Reasoning and personalized recommendation to help distributors to share information mutually using information technology and then immediately get the solutions of problems that they have met﹒Therefore the distributors can enhance their ability and the multi-level marketing enterprise also can improve their competition﹒ 黃木榮 2005 學位論文 ; thesis 71 zh-TW
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description 碩士 === 國立彰化師範大學 === 資訊管理學系所 === 93 === Under the age of knowledge-based economy as Peter F•Drucker’s predicting–knowledge will become the most important production factor﹒Thus﹐knowledge management has become one important management issue for enterprise﹒In knowledge management﹐knowledge sharing is not only the first step to create knowledge﹐but also the critical factor to affect success or failure﹒The key to implement the knowledge management is to bring knowledge sharing mechanism into full play﹒ Today multi-level marketing industry’s competition is not confined to the same industry﹒Facing competition multi-level marketing﹐ enterprises always think first to enhance the distributor’s ability because they stress on multiplication and duplication﹒Although the information technology is prospered﹐only a few multi-level marketing enterprises adopt the information technology to enhance the distributors’ ability﹒This study try to combine Case-Based Reasoning and personalized recommendation to help distributors to share information mutually using information technology and then immediately get the solutions of problems that they have met﹒Therefore the distributors can enhance their ability and the multi-level marketing enterprise also can improve their competition﹒
author2 黃木榮
author_facet 黃木榮
葉信宏
author 葉信宏
spellingShingle 葉信宏
The Study of Distributors’Knowledge Sharing Using Personalized Recommendation and Case-Based Reasoning
author_sort 葉信宏
title The Study of Distributors’Knowledge Sharing Using Personalized Recommendation and Case-Based Reasoning
title_short The Study of Distributors’Knowledge Sharing Using Personalized Recommendation and Case-Based Reasoning
title_full The Study of Distributors’Knowledge Sharing Using Personalized Recommendation and Case-Based Reasoning
title_fullStr The Study of Distributors’Knowledge Sharing Using Personalized Recommendation and Case-Based Reasoning
title_full_unstemmed The Study of Distributors’Knowledge Sharing Using Personalized Recommendation and Case-Based Reasoning
title_sort study of distributors’knowledge sharing using personalized recommendation and case-based reasoning
publishDate 2005
url http://ndltd.ncl.edu.tw/handle/6n2x7q
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