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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/52914


    Title: 應用Profile Monitoring分析網路使用並結合問卷調查網路服務之整合研究
    Other Titles: An Integrated Study of Profile Monitoring Techniques to Analyze the Users` Online Usage and Survey to Study the Web Services
    Authors: 洪叔民
    Contributors: 國立政治大學企業管理學系
    行政院國家科學委員會
    Keywords: 管理科學;網路使用
    Date: 2010
    Issue Date: 2012-05-18 13:32:47 (UTC+8)
    Abstract: Web2.0目前受到相當的關注，尤其在其成為一種新的商業模式後，更需要進一步的研究以了解它的相關議題及其對使用者的影響。本研究將應用Profile Monitoring 技術探討網路使用者的線上行為。七家台灣的網路公司，地圖日記、寶貝家庭親子網、推推網、愛評網、米亞社群、沿著菊島旅行、及口腔雷射學會將提供他們在Google Analytics上的資料供本研究使用。另外，由U2.0EX所發展的一個創新的產品也將提供其使用者的紀錄，以供本研究分析。在Profile Monitoring的Phase I分析中，我們將衡量使用者的穩定度，並找出其代表性的指標。接著在Profile Monitoring的Phase II中，藉由Phase I所獲得的控制指標，我們將能夠有效的找出離群值，這些離群值代表著重要的管理議題。接著藉由定期的問卷調查及訪談管理階層和重度使用者，我們將界定出導致這些離群值的事件及其代表的參數，最後，藉由階層演算決定群組數目，及K-mean決定各群的成員，各集群的組成將可確認，並可推導其相關的管理意涵。本研究的主要目的包含以下： 1. 成為第一個將Profile Monitoring應用在網路服務的研究。 2. 分析從數個性質各異的Web 2.0網站，從它們在Google Analytics的數據找出能代表服務績效的重要指標。 3. 提供一個實際可行的方法讓虛擬社群網站作更有效的管理。 4. 整合質化及量化的方法以解決實務的問題。 5. 針對一個創新的產品(U2.0EX)提供一個可行的分析，結果可應用在其他類似產業，如健康管理、旅遊、及主題公園的導引設備等。
    Web 2.0 has received a lot of attention recently, since many new business models have proliferated from this concept. This study will apply profiling monitoring to study the users’ online usage that are the Google Analytics data retrieved from seven Web 2.0 services based in Taiwan including Atlaspost, Babyhome, Funp, Ipeen, Meeya, Phsee, and Tad.org, and the data recorded from a revolutionary device developed for U2.0EX project. In the phase I of profile monitoring, we will evaluate the stability of the services and to estimate the parameters representing important measures of the Web service performance. In phase II analysis the objective is to detect shifts quickly in the process from the in-control parameter values estimated in phase I. These shifts represent the management issues that could either strength or weaken the performance of the Web services as well as the device for U2.0EX. By constant survey and interviews, we will identify the characteristics of the events causing the shifts. A hierarchical algorithm for group numbers and K-mean for group members will be used for cluster analysis. The corresponding management implications will be derived accordingly. The objectives of this research include the following - Become the first study applying profile monitoring technique on Web services to analyze online users’ behavior. - Identify the key parameters representing the performance of Web services by analyzing Google Analytics data from varied Web 2.0 services. - Provide substantial evidence and feasible guidelines to SNS for operating their web services more effectively. - Integrating quantitative and qualitative methods on service issues to solve a real world problem. - Provide the analysis for the revolutionary product, device for U2.0EX, and the methodology along the results can be extended to similar devices for different purposes such as health care, tourism, or guiding device in theme park.
    Relation: 應用研究
    學術補助
    研究期間:9908~ 10007
    研究經費:537仟元
    Data Type: report
    Appears in Collections:[企業管理學系] 國科會研究計畫

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