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基于顧客忠誠的鐵路旅客市場細分研究

發(fā)布時間:2018-05-25 20:38

  本文選題:顧客忠誠 + 市場細分 ; 參考:《北京交通大學(xué)》2013年碩士論文


【摘要】:隨著客運市場競爭的日益加劇,鐵路運輸企業(yè)面臨的競爭壓力越來越大。如何在復(fù)雜多變的市場競爭環(huán)境中制定行之有效的營銷策略,發(fā)揮自身優(yōu)勢,求得長期穩(wěn)定發(fā)展,是鐵路運輸企業(yè)亟待解決的問題。而市場細分是進行有效市場營銷的前提條件,它通過將整個市場劃分為不同的消費群體,根據(jù)不同的消費特征,幫助企業(yè)有針對性的制定服務(wù)管理措施。 以往開展的鐵路旅客市場細分工作,大都是基于旅客人口統(tǒng)計特征、地理環(huán)境因素等進行的,很少涉及到旅客的消費心理及消費行為,而基于顧客忠誠的鐵路旅客市場細分,將從這個角度出發(fā),幫助鐵路運輸企業(yè)識別有價值的旅客群體,了解不同群體的個性化需求,提升服務(wù)質(zhì)量,培養(yǎng)顧客忠誠,為企業(yè)帶來持久的經(jīng)濟效益。 本文首先通過研究顧客忠誠的相關(guān)文獻,明確了影響顧客忠誠的相關(guān)因素包括顧客滿意、顧客信任、轉(zhuǎn)換成本等,在此基礎(chǔ)上,結(jié)合結(jié)構(gòu)方程模型理論,確定了顧客忠誠相關(guān)因素的各指標變量,構(gòu)建出顧客忠誠結(jié)構(gòu)方程模型,將此模型作為量化顧客忠誠的依據(jù)。然后,根據(jù)市場細分的相關(guān)理論知識,以顧客滿意、顧客忠誠、客戶價值為細分變量,以K-Means聚類分析法為市場細分的統(tǒng)計方法,構(gòu)建鐵路旅客市場細分的流程模型。最后,以海南東環(huán)客運通道作為實證分析對象,利用SPSS、AMOS統(tǒng)計分析軟件,進行基于顧客忠誠的旅客市場細分研究,通過市場細分,將旅客群體劃分為五個不同的細分子市場:忠誠型旅客、風(fēng)險型旅客、潛力型旅客、不穩(wěn)定型旅客以及無關(guān)緊要型旅客,并對不同細分子市場上的旅客群體進行相關(guān)分析,有針對性的提出了常旅客計劃、票種多樣化以及差異化服務(wù)管理等提升顧客忠誠的相關(guān)建議。
[Abstract]:With the increasing competition in passenger transport market, railway transport enterprises are facing more and more competition pressure. How to make effective marketing strategy in the complex and changeable market competition environment, give play to its own advantages and obtain long-term stable development, is the urgent problem to be solved by railway transportation enterprises. Market segmentation is the precondition of effective marketing. It can help enterprises to formulate service management measures according to different consumption characteristics by dividing the whole market into different consumer groups. In the past, most of the railway passenger market segmentation work is based on the demographic characteristics of passengers, geographical environment factors and other factors, rarely involving the consumer psychology and consumer behavior, but based on customer loyalty of railway passenger market segmentation. From this point of view, it will help railway transportation enterprises identify valuable passenger groups, understand the individual needs of different groups, improve service quality, cultivate customer loyalty, and bring lasting economic benefits for enterprises. First of all, by studying the relevant documents of customer loyalty, this paper clarifies the related factors that affect customer loyalty, such as customer satisfaction, customer trust, conversion cost and so on. On this basis, combined with structural equation model theory, The index variables of the related factors of customer loyalty are determined, and the structural equation model of customer loyalty is constructed, which is regarded as the basis for quantifying customer loyalty. Then, according to the relevant theoretical knowledge of market segmentation, taking customer satisfaction, customer loyalty and customer value as subdivision variables, and taking K-Means cluster analysis as the statistical method of market segmentation, the process model of railway passenger market segmentation is constructed. Finally, taking Hainan East Ring passenger Passage as the empirical analysis object, using SPSS Amos statistical analysis software to carry on the passenger market segmentation research based on customer loyalty, through the market segmentation, The passenger group is divided into five different fine molecular markets: loyalty type passenger, risk type passenger, potential type passenger, unstable type passenger and insignificant type passenger, and the correlation analysis is carried out on the different fine molecular market passenger groups. Some suggestions on how to improve customer loyalty, such as frequent passenger plan, ticket diversification and differentiated service management, are put forward.
【學(xué)位授予單位】:北京交通大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2013
【分類號】:F274;F532.6;U293.1

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