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Facebook Dominant, Majority, Growing, and Emerge a Marketing Segmentation Approach Facebook占主导地位,多数,成长,并出现营销细分方法
Pub Date : 2018-01-01 DOI: 10.4018/IJVCSN.2018010101
Chunsing Yung
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引用次数: 1
Variable Selection of Customers for Churn Analysis in Telecommunication Industry 电信行业客户流失分析的变量选择
Pub Date : 2018-01-01 DOI: 10.4018/IJVCSN.2018010102
Vishal Mahajan, Renuka Mahajan
Thetelecommunicationindustryconsiderscustomerrelationshipmanagementasasignificantissue fororganizationaladaptation.MobileserviceprovidershaveenforcedCRMwiththeobjectiveto reducethenumberofcustomersthatchurn.Theobjectiveofthisarticleistodetecthighimpactfactors leadingtocustomerchurninthemobileindustryoverthepresent-daymarketsituationinDelhi-NCR byusingaquestionnairesurveyandexaminetheirimportance.Thestudyisdonetounderstandusage patternsofcustomersusingmobiledataservices.Thedatacollectedwasanalyzedusingdescriptive statisticstoidentifythemostcommonissuestoidentifyattributesofselectingaserviceprovider, cellularusage,andservicequality.Thus,theauthorshaveselectedpossiblevariablesformodeling thedecisiontreetobuildachurnpredictionmodel.Arenewedcustomerservice,afteranalyzing thisexperience,couldpredictthosecustomerswhoareatriskofswitchingtoadifferentprovider. KeywoRdS Churn Prediction, Customer Churn, Customer Relationship Management (CRM), Customer Satisfaction, Mobile Number Portability, Mobile Service Provider, Telecommunication Industry
Thetelecommunicationindustryconsiderscustomerrelationshipmanagementasasignificantissue fororganizationaladaptation。MobileserviceprovidershaveenforcedCRMwiththeobjectiveto reducethenumberofcustomersthatchurn。Theobjectiveofthisarticleistodetecthighimpactfactors leadingtocustomerchurninthemobileindustryoverthepresent-daymarketsituationinDelhi-NCR byusingaquestionnairesurveyandexaminetheirimportance。Thestudyisdonetounderstandusage patternsofcustomersusingmobiledataservices。Thedatacollectedwasanalyzedusingdescriptive statisticstoidentifythemostcommonissuestoidentifyattributesofselectingaserviceprovider, cellularusage,andservicequality。Thus,theauthorshaveselectedpossiblevariablesformodeling thedecisiontreetobuildachurnpredictionmodel。Arenewedcustomerservice,afteranalyzing thisexperience,couldpredictthosecustomerswhoareatriskofswitchingtoadifferentprovider。关键词:流失预测,客户流失,客户关系管理,客户满意度,移动号码可携性,移动服务提供商,电信行业
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引用次数: 2
Sustainability Analysis of Tourism in India: Data Envelopment Analysis Approach 印度旅游业的可持续性分析:数据包络分析法
Pub Date : 2018-01-01 DOI: 10.4018/IJVCSN.2018010103
Surender Kumar
Intherecentpast,understandingandpracticeofsustainabilityintourismarebecomingincreasingly important tobothacademiciansand tourismplanners. In the last twodecades, theattainmentof sustainabledevelopmentandtheprotectionoftouristicassetshavebeenattheforefrontofcentral policyissuesinglobaltourismdevelopment.Inadditiontosocialandeconomicimpactoftourism, overuseofnaturalresourcesandclimatechangeareleadingtotheimportanceofdriveforsustainable tourism development. Consequently, there is a growing research interest in investigating the performanceofcountries,especiallyintermsofenvironmentalefficiency.Inthisarticle,theauthors haveempiricallyexploredsocio-economicefficiencyofthetoptenperformingcountriesandIndia. Theirbasiccontentissummarised,alongwiththemajorfindings.Inthisway,bothmeasurementof countries’performanceandthenonparametricapproachofDEAhavebeengivendeservedattention. Tourismbenchmarkingandtheassessmentoftourismmanagementperformancesareacrucialand challengingtaskinthedirectionofevaluatingtourismsustainabilityandreshapingtourismactivities. Theproposedefficiencyassessmentprocedureisbasedondataenvelopmentanalysis(DEA).DEAis amethodologyforevaluatingtherelativeefficiencywhenfacingmultipleinputandoutput.Although themethodologyisextremelyversatile,forthesakeofexemplification,inthisarticleitisappliedto theevaluationandcomparisonofsustainabletourismmanagementofIndia. KEywoRDS Data Envelopment Analysis, Economic, Efficiency, Environment, Social, Sustainable Tourism
Intherecentpast,understandingandpracticeofsustainabilityintourismarebecomingincreasingly重要的tobothacademiciansand tourismplanners。>在>最后> twodecades, > theattainmentof sustainabledevelopmentandtheprotectionoftouristicassetshavebeenattheforefrontofcentral policyissuesinglobaltourismdevelopment。Inadditiontosocialandeconomicimpactoftourism, overuseofnaturalresourcesandclimatechangeareleadingtotheimportanceofdriveforsustainable旅游发展。因此,对这一问题的研究越来越有兴趣performanceofcountries,especiallyintermsofenvironmentalefficiency。Inthisarticle,theauthors haveempiricallyexploredsocio-economicefficiencyofthetoptenperformingcountriesandIndia。Theirbasiccontentissummarised,alongwiththemajorfindings。Inthisway,bothmeasurementof国家的performanceandthenonparametricapproachofDEAhavebeengivendeservedattention。Tourismbenchmarkingandtheassessmentoftourismmanagementperformancesareacrucialand challengingtaskinthedirectionofevaluatingtourismsustainabilityandreshapingtourismactivities。Theproposedefficiencyassessmentprocedureisbasedondataenvelopmentanalysis(DEA)。DEAis amethodologyforevaluatingtherelativeefficiencywhenfacingmultipleinputandoutput。Although themethodologyisextremelyversatile,forthesakeofexemplification,inthisarticleitisappliedto theevaluationandcomparisonofsustainabletourismmanagementofIndia。关键词:数据包络分析经济效率环境社会可持续旅游
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引用次数: 2
A Study of Digital Payments: Trends, Challenges and Implementation in Indian Banking System 数字支付研究:印度银行系统的趋势、挑战与实施
Pub Date : 2018-01-01 DOI: 10.4018/IJVCSN.2018010104
N. Bhasin, A. Rajesh
ThechallengesandemergenceofaglobaleconomyandaDigitalFirstWorldhascreatedfinancial disruptionsine-commerceande-businessaroundtheglobe.ThecollaborationsofbankswithFintech companieshaveledtodigitalizationbeinganimportantcomponentoftheirbusinessandmarketing strategy.Theapplicationofe-bankinghasbeendemonstratedasaneffectivecostreduction,risk managementandprovidesquickservicestothecustomers.Nowadays,e-bankingserviceshavealready ensuredopportunities to reduce expendituresonphysical structures.However, in someprevious studiesithasbeenshowedthate-bankinghashelpedbanksandfinancialinstitutionstoreducecosts, increaserevenue,andincreasecustomerexperience.WiththegrowthofdigitalbankinginIndia,itis significanttoanalyzetheactualsituationofcustomersatisfactioninthebankingsector.Thisarticle evaluatesthevariousnewdigitalbankingtechnologiesinthebankingsectorofIndiawhichhave gainedmomentumaftervariousbankingreformslikethedigitalfinancialinclusion,demonetization andGST implementation. It also identifies the relationshipbetween the increasing trends in the usageofelectronicbankingandacustomerparadigmshiftfromtraditionalcashandpaper-based chequepaymentsystemsandevaluatesvariouschallengesandopportunitiesintheimplementation ofdigitalization.Thisresearchwascarriedoutusingmultiplemethodologies. KeywoRDS Digital Banking, E-Banking, Mobile Banking, Payment Systems, Risk Management
ThechallengesandemergenceofaglobaleconomyandaDigitalFirstWorldhascreatedfinancial disruptionsine-commerceande-businessaroundtheglobe。ThecollaborationsofbankswithFintech companieshaveledtodigitalizationbeinganimportantcomponentoftheirbusinessandmarketing策略。Theapplicationofe-bankinghasbeendemonstratedasaneffectivecostreduction,risk managementandprovidesquickservicestothecustomers。Nowadays,e-bankingserviceshavealready ensuredopportunities以减少expendituresonphysical结构。However, someprevious studiesithasbeenshowedthate-bankinghashelpedbanksandfinancialinstitutionstoreducecosts, increaserevenue,andincreasecustomerexperience。WiththegrowthofdigitalbankinginIndia,itis significanttoanalyzetheactualsituationofcustomersatisfactioninthebankingsector。Thisarticle evaluatesthevariousnewdigitalbankingtechnologiesinthebankingsectorofIndiawhichhave gainedmomentumaftervariousbankingreformslikethedigitalfinancialinclusion,demonetization andGST实现。它还确定了在usageofelectronicbankingandacustomerparadigmshiftfromtraditionalcashandpaper-based chequepaymentsystemsandevaluatesvariouschallengesandopportunitiesintheimplementation ofdigitalization.Thisresearchwascarriedoutusingmultiplemethodologies上的增长趋势。关键词:数字银行,电子银行,手机银行,支付系统,风险管理
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引用次数: 4
Social Computing: An Examination of Self, Social, and Use Factors 社会计算:对自我、社会和使用因素的考察
Pub Date : 2017-10-01 DOI: 10.4018/IJVCSN.2017100103
Sandra A. Vannoy, B. Medlin
Thisarticleexplorestheinfluenceofsocial,self,andusefactorsontheintentiontoperformsocial computingactionsinonlinesocialsites.Asurveywasconductedusingpeer-to-peerfilesharingas representativeofasocialcomputingaction.Collecteddatawasanalyzedusingthestructuralequation modelingmethodwithpartialleastsquares.Thesefindingsshowthatsocialcomputingconsensus andsocialcomputingcooperationare important social factors thathavesignificant influenceon theformationofsocialnorms,whichinturnincreasestheintentionofmemberstoperformsocial computingactions.Interestingly,thewidelytestedusefactorsperceivedusefulnessandperceived easeofusehavenosignificanteffectuponauser’sintentiontoperformsocialcomputingactions. Furthermore,whilesocialnormshavesignificantinfluenceuponauser’sintentiontoperformsocial computing actions, self-identity has no significant impact. These findings lead to academic and practicalimplicationsontheefficacyofsocial,self,andusefactorsinfurtheringunderstandingof socialcomputing. KEywoRdS Partial Least Squares, Peer-to-Peer, Perceived Ease of Use, Perceived Usefulness, Social Computing Consensus, Social Computing, Social Computing Cooperation, Structural Equation Modeling
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引用次数: 0
Entropy Based Identification of Fake Profiles in Social Network: An Application of Cyberbullying 基于熵的社交网络虚假资料识别:网络欺凌的应用
Pub Date : 2017-10-01 DOI: 10.4018/IJVCSN.2017100102
Geetika Sarna, M. Bhatia
Cyberbullyingisafeloniousactcarriedoutagainstthevictimbysendingharassing/embarrassing/ abusinginformationonline.Normallyoffenderscreatefakeprofilesinordertohidetheiridentityfor unscrupulousactivities.Assumingafakeidentityisveryharmfulastherealpictureoftheoffender isnotvisible,andalsoitcanbecomedifficulttoentrapthem.Sometimes,sometrustworthyfriends canalsotakeadvantageofthefakeidentityinordertoharmthevictim.Culpritscanrevealvictim’s personalinformationlikefinancialdetails,personalhistory,family,etc.,andalongwithit,hecan harass,threatenorblackmailthevictimusingfakeprofilesandpermeatesthatinformationonthe socialnetwork.So,itisnecessarytoresolvethisissue.Inthisarticle,theauthorsusedtheconcept ofentropyandcrossentropytoidentifyfakeprofilesasentropyworksonthedegreeofuncertainty. Also,thisarticleshowsthecomparisonofproposedmethodwiththeexistingclassifiers. KEywoRdS Cross Entropy, Cyberbullying, Entropy, Fake Profiles, Jaro-Winkler Distance, Levenshtein Distance
Cyberbullyingisafeloniousactcarriedoutagainstthevictimbysendingharassing/embarrassing/ abusinginformationonline。Normallyoffenderscreatefakeprofilesinordertohidetheiridentityfor unscrupulousactivities。Assumingafakeidentityisveryharmfulastherealpictureoftheoffender isnotvisible,andalsoitcanbecomedifficulttoentrapthem。Sometimes,sometrustworthyfriends canalsotakeadvantageofthefakeidentityinordertoharmthevictim。Culpritscanrevealvictim的personalinformationlikefinancialdetails,personalhistory,family,etc。,andalongwithit,hecan骚扰,threatenorblackmailthevictimusingfakeprofilesandpermeatesthatinformationonthe socialnetwork.So,itisnecessarytoresolvethisissue。Inthisarticle,theauthorsusedtheconcept ofentropyandcrossentropytoidentifyfakeprofilesasentropyworksonthedegreeofuncertainty。还有,thisarticleshowsthecomparisonofproposedmethodwiththeexistingclassifiers。关键词交叉熵,网络欺凌,熵,虚假个人资料,Jaro-Winkler距离,Levenshtein距离
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引用次数: 3
Influence and Information Flow in Online Social Networks 在线社交网络中的影响与信息流
Pub Date : 2017-10-01 DOI: 10.4018/IJVCSN.2017100101
A. Agah, Mehran Asadi
This article introduces a new method to discover the role of influential people in online social networks and presents an algorithm that recognizes influential users to reach a target in the network, in order to provide a strategic advantage for organizations to direct the scope of their digital marketing strategies. Social links among friends play an important role in dictating their behavior in online social networks, these social links determine the flow of information in form of wall posts via shares, likes, re-tweets, mentions, etc., which determines the influence of a node. This article initially identities the correlated nodes in large data sets using customized divide-and-conquer algorithm and then measures the influence of each of these nodes using a linear function. Furthermore, the empirical results show that users who have the highest influence are those whose total number of friends are closer to the total number of friends of each node divided by the total number of nodes in the network.
本文介绍了一种发现在线社交网络中有影响力的人的作用的新方法,并提出了一种识别有影响力的用户以达到网络目标的算法,以便为组织指导其数字营销策略的范围提供战略优势。在网络社交网络中,朋友之间的社交链接对他们的行为起着重要的支配作用,这些社交链接通过分享、点赞、转发、提及等方式,决定了信息以墙帖的形式流动,从而决定了一个节点的影响力。本文首先使用定制的分治算法确定大型数据集中的相关节点,然后使用线性函数测量每个节点的影响。此外,实证结果表明,影响力最高的用户是那些朋友总数更接近于每个节点的朋友总数除以网络中节点总数的用户。
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引用次数: 0
Cluster Based Architecture and Algorithm to Improve the Design of Social Networks 基于聚类的结构和算法改进社交网络的设计
Pub Date : 2017-07-01 DOI: 10.4018/IJVCSN.2017070103
S. Dutta, Payel Roy
Inasocialnetworkpeopleareconnectedbyrelationships,businesspurposeortransactionactivity. Theincreasingdemandofsocialnetworkanalysisandhowtoimprovethearchitectureisofutmost importancefortheorganizationswhoareregularlytryingtoimprovetheservicethroughsocialnetwork analysis.Socialnetworkanalysisviewssocialrelationshipintermsofnetworktheory.Socialnetworks connectpeopleatverylowcostandthisnetworkactsasacustomerrelationshipmanagementtool forincreasingsalesoforganizationintermsofgoodsandservices.Differentmodelsareproposed andutilizedindifferentplatforms.Inthismodel,theauthorshaveproposedacluster-basedstructure toimproveperformanceofsocialnetworks. KeywoRDS Cluster, Customer Relationship Management, Social Network Analysis, Social Network
Inasocialnetworkpeopleareconnectedbyrelationships,businesspurposeortransactionactivity。Theincreasingdemandofsocialnetworkanalysisandhowtoimprovethearchitectureisofutmost importancefortheorganizationswhoareregularlytryingtoimprovetheservicethroughsocialnetwork analysis.Socialnetworkanalysisviewssocialrelationshipintermsofnetworktheory。Socialnetworks connectpeopleatverylowcostandthisnetworkactsasacustomerrelationshipmanagementtool forincreasingsalesoforganizationintermsofgoodsandservices。Differentmodelsareproposed andutilizedindifferentplatforms。Inthismodel,theauthorshaveproposedacluster-basedstructure toimproveperformanceofsocialnetworks。关键词集群,客户关系管理,社会网络分析,社会网络
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引用次数: 1
Multimedia Documents Adaptation Based on Semantic Multi-Partite Social Context-Aware Networks 基于语义多部社会上下文感知网络的多媒体文档适配
Pub Date : 2017-07-01 DOI: 10.4018/IJVCSN.2017070104
A. Adel, Roose Philippe, Laborie Sébastien
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引用次数: 3
User's Social Network Site Loyalty 用户对社交网站的忠诚度
Pub Date : 2017-07-01 DOI: 10.4018/IJVCSN.2017070101
Bo Han
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引用次数: 0
期刊
International journal of virtual communities and social networking
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