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題名:馬可夫鏈模式於服務品質衡量之應用
書刊名:科技管理學刊
作者:高崑銘吳信宏
作者(外文):Kao, Kun-mingWu, Hsin-hung
出版日期:2009
卷期:14:4
頁次:頁57-81
主題關鍵詞:馬可夫鏈模式期望首次經過時間服務品質服務品質模式服務品質量表便利商店A Markov chain modelMean first passage timeService qualityService quality modelSERVQUALA convenience store
原始連結:連回原系統網址new window
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  • 點閱點閱:193
馬可夫鏈模式是一種隨機過程預測方法,藉由過去一段期間系統所呈現的狀態,推測未來系統各期的狀態以及發生的可能性。本研究藉由觀察便利商店消費者的資料,運用馬可夫鏈模式衡量消費者認知的服務品質。此外,並利用期望首次經過時間觀測不同認知服務品質消費者之消費金額於各狀態間預期轉移的次數。此模式將可提供研究者另一個用以衡量服務品質的方式。
A Markov chain model is one of the stochastic process methods to forecast the state of the systematic changes in a timely basis. This study applies a Markov chain model to analyze perceived service quality by observing customer behaviors of a convenient store. In addition, the mean first passage times are computed to evaluate the expected number of transitions from one state to another in terms of money spent with different customers' perceived service quality. This approach provides researchers to measure service quality from another viewpoint.
期刊論文
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14.Ciecka, J., Donley, T.,、Goldman, J.(1997)。“A Markov Process Model of Work Life Expectancies Based on Labor Market Activity in 1994-95”。Journal of Legal Economics,Vol. 7 (1),pp. 2-25。  new window
15.Ciecka, J., Donley, T.,、Goldman, J.(1999)。A Markov Process Model of Work-Life Expectancies Based on Labor Market Activity in 1997-98。Journal of Legal Economics,Vol. 9 (3),pp. 33-68。  new window
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17.Hirotsu, N.、Wright, M.(2002)。“Using a Markov Process Model of An Association Football Match to Determine the Optimal Timing of Substitution and Tactical Decisions”。Journal of the Operational Research Society,Vol. 53 (1),pp. 88–96。  new window
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19.Murakami, Y.、Ohashi, Y.(2001)。“Projected Number of Diabetic Renal Disease Patients Among Insulin-Dependent Diabetes Mellitus Children in Japan Using a Markov Model with Probabilistic Sensitivity Analysis”。International Journal of Epidemiology,Vol. 30 (5),pp. 1078-1083。  new window
20.Stawicki, R. J.、Lawrence, K. D.(1994)。“Using Markov Chains to Identify Potential Large Donors”。The Journal of Business Forecasting Methods & Systems,Vol. 13 (2),pp. 3-7。  new window
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圖書
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