基于结构方程模型(sem)的顾客忠诚度分析——以快速消费品行业为例

基于结构方程模型(sem)的顾客忠诚度分析——以快速消费品行业为例

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时间:2019-01-31

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1、Basedonstructuralequationmodel(SEM)studyofcustomerloyalty——Afast—movingconsumergoodsindustryasanexampleHouWenxia(Administer)DirectedbyProf.GaoXinweiAbstractWiththecompetitionpickingupandthecustomercontestcostrisingintheconsumermarket,thedevelopingandprotectingloyalcustomercolonyhasbecometh

2、eenterprise’Simportantstrategytowinthemarket.Therefore,howtOestablishandretaincustomerloyaltyhasbecomeafocusonthemanagementacademiaandpractitioner.ThepaperfocusesontheinfluencefactorsoftheFMCG(fastmovingconsumergoods)consumablemarketofcustomerloyalty,usingthelatestresearchresultofcustomerl

3、oyalty,combinationthetheoriesofFMCGconsumablemarketanditspurchasebehaviorcharaeteristic.Asareset,aninfluencefactormodelisprovidedforcustomerloyalty.Avarietyofstudyapproachesareadoptedintheresearchsuchastheoreticalanalysisandinterviewsurvey.Combinationtheanalysiswithshampoomarket’Sconsumer,

4、thisstudydemonstratesandexaminesthismodelofinfluencingfactorscustomerloyalty.Theworkofthisthesismainlyincludesthreeaspectsasfollows:1.Basedonthevariouspreviouspaperandacademicanalysis,thispapertheoreticallyputsforwardmanyinfluencingfactorstocustomerloyalty;2.Combiningthetheoreticalresearch

5、andempiricalstudiesathomeandabroad,itanalyzestheinfluencingfactorsandconstructthebasismodel;3.Providingthevolumeofquestioningandcollectingdata,combiningwiththeSPSSl3.0andAMOS7.0analysistechnologysuchasthecorrelationanalysisandregressionanalysisamongthesefactors,drawingconclusionsandpropose

6、recommendationstoimprovecustomerloyalty.Throughtheaboveresearchwork,themainconclusionsareasfollows:1.Customerloyaltyisaffectedbyavarietyoffactors.Therearecustomersatisfaction,customervalue,customertrustandcustomerswitchingbarriers(includingreplacerattractionandswitchingcosts)andSOon.Thesef

7、actorsplaydirectorindirecteffectsoncustomerloyalty.Customertrustistheoneofmostimportantofcustomerloyaltyfactors,followedbycustomersatisfaction.2.Theimpactofcustomerloyaltyfactorsalsoaffectstherelationshipbetweeneachother.Keywords:CustomerLoyalty;InfluencingFac

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