English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109874/140825 (78%)
Visitors : 45909301      Online Users : 453
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/124371

    Title: 貝式網路應用於美髮產業服務失敗對企業獲利之研究 — 蒙地卡羅模擬法
    The Application of Bayesian Network Model for Analyzing Impact of Service Failures on Business Profits: Monte Carlo Simulation
    Authors: 林君憶
    Contributors: 2019智慧企業資訊應用發展國際研討會
    Keywords: 服務失敗;扎根理論;貝氏網路;蒙地卡羅模擬法
    Service Failures;Grounded Theory;Bayesian Network Model;Monte Carlo Simulation
    Date: 2019-06
    Issue Date: 2019-07-17 15:14:39 (UTC+8)
    Abstract: 本文使用質化紮根理論、量化問卷、貝氏網路與蒙地卡羅法進行美髮產業服務失敗對企業獲利影響之模擬研究。本文透過貝氏網路建構美髮產業服務失敗對企業獲利影響之模型,並以蒙地卡羅模擬法進行服務失敗對企業獲利之預測分析,幫助美髮產業建構一套完成的模擬流程方法,以解決三大研究問題:1.預估不同的顧客抱怨所產生的機會成本差異;2.透過「what-if」分析預估各種不同服務補救策略和創新服務體驗策略的決策組合來評估對企業獲利的影響程度;3.最後基於服務失敗的分析,以RMF模型建立美髮產業顧客區隔管理。
    The paper focuses on exploring the relationship between service failures and profits in the Taiwanese hairdressing industry through conducting both qualitative and quantitative research, including the grounded theory, survey method, a Bayesian network model and Monte Carlo simulation. A Bayesian network model is used to assess the extent to which service failures influence profits in the Taiwanese hairdressing industry, and Monte Carlo Simulation is conducted to analyze the outputs of the Bayesian network model and to provide a format for prediction as well. This enables the Taiwanese hairdressing industry to create a simulation process, which is able to deal with three research questions: 1. To predict the differences between opportunity cost resulted from different customers complaints; 2. To assess the extent to which a combination of service recovery strategies and strategic experiential model may greatly have an influence on business profits through “what-if” analysis; 3. To create a customer segment based on the reasons of service failures through the RMF model.
    Relation: 2019智慧企業資訊應用發展國際研討會
    Data Type: conference
    Appears in Collections:[2019智慧企業資訊應用發展國際研討會] 會議論文

    Files in This Item:

    File Description SizeFormat
    51.pdf131KbAdobe PDF2114View/Open

    All items in 政大典藏 are protected by copyright, with all rights reserved.

    社群 sharing

    著作權政策宣告 Copyright Announcement
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback