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- W137927711 abstract "Theinternethasbecomeavitalelementinmodernsocietyandmodernbusiness.Ensuringthatitfunctionsproperlyhasbecomeacrucialtask.Theinternetneedsatoughinfrastructuretofunctionwell.Thedigitaleconomydependsonthisinfrastructureforsharinganytypeofcontent.Theinternetinfrastructureiscreatedandmanagedbyavarietyofcompanies.Thisstudyfocusesononeofthesecompanies,namelythehostingproviderOxilion.Thecompany,likeanyhostingprovider,offersaservicethatallowsbusinessestostoreandpublishanytypeofdataontheinternet.ThesebusinessesareinneedofareliablepartnerandexpectthatOxilion’sserviceisalwaysupandrunning.ThesecustomerexpectationspressureOxiliontomanageitscomplexnetworkinfrastructureextremelywell.TheinfrastructureofOxilionisdesignedtocopewithfailures,butitcannothandleunanticipatedfailures.Whenunanticipatedfailuresoccur,employeesmustbeabletotakeappropriateaction.However,whatenablesemployeestotakeappropriateaction?Additionally,howshouldthisbemonitored?Oneassumesthatbytakingappropriateaction(behaviour)employeescaneliminatethreatstoreliability.Theiractionsareinfluencedbytheirmotivationandtheirknowledge.Anindividual’sattitudeandperceivedsubjectivenorms(collectivelycalledmotivation)guidethewayinwhichanindividualevaluatesalternativecoursesofactionandconsequentlythewayheorshebehaves.Anindividual’sknowledgespecifiesthepotentialrangeofactionsthatheorshecantakeandconsequentlypotentialbehaviour.BasedonOxilion’spracticalproblemandtheproposedassumptions,threeresearchgoalsweredrafted.First,thisstudyaimstodescribewhatknowledgeandmotivationsareneededtocreateappropriatebehaviour.Second,thisstudyaimstoprovidea‘tool’thatcanbeusedtomonitorreliability,behaviour,motivationandknowledge.Third,thisstudyaimstodescribehowOxilioncanlearnfromtheinformationgatheredbymonitoringreliability.Thestudyusesaconcurrenttransformativemixedmethoddesignencompassingsixdatacollectionmethods.Theresearchdiarymethodistheprimarymethodforcollectingdata.Datacollectionspannedaperiodoffourmonths(April–July2010).Thelengthofthedatacollectionperiodanditsbroadspectrumresultedinawealthofdata.ThisdatawasanalyseddescriptivelyandbymeansofthequalitativedataanalysismethoddevelopedbyCreswell(2009).Thismethodinvolvescodingdata.DuringtheanalysisitbecameclearthatnotallpossibleinteractionsofOxilion’scomplexandchangingtechnologycouldbeunderstoodandanticipatedto.Asaresult,employeeswereoftenEnablinghighreliabilityofnetworkinfrastructure–ThijsAlinkV‘trouble-‐shooting’,meaningthattheywerecontainingtheeffectsofincidentsthathadalreadyoccurred.Thismodeofrealizingreliabilityrequiresaspecialconfigurationofmotivationsandknowledge.Firstofall,itrequiresappropriatecontainmentmotivationsthatfocusonresilience.Threeclassesofmotivationsdemonstratedtobeespeciallyimportant,namely:(1)motivationsregardingdiagnosisandresolution,(2)motivationsregardingcommunicationandcollaboration,and(3)motivationsregardingknowledgedevelopmentandsharing.Second,twoformsofexperientialknowledgewererequired:(1)acomplexsetofunderstandingsandexperiencesregardingatechnologytointerpretedsignalsofafailurecorrectlyand(2)anacquaintancewithanentitytoeffectivelyacquireinformation(propositionalknowledge)aboutthediagnosesandresolutionofincidents.Inordertorealizehighreliability,Oxilionshouldnotonlybeabletocreateappropriatemotivationandknowledge(andtherebybehaviourandreliability),theorganizationshouldalsotomonitoranychangesinthevariables.Motivationandknowledge,theaspectsthatenableappropriatebehaviour,shouldbemonitoredbyahalf-‐yearlyinternalsurveyandhalf-‐yearlyassessmentrespectively.BothmonitoringtoolsshouldbetailoredtothemotivationsandformsofknowledgeneededbyOxilion.Thesemotivationsandformsofknowledgewerediscussedabove.Theinformationgatheredwiththemonitoringtoolscanbeusedtodecidewhetherinitiativesforimprovementshouldbedeployedand,ifso,onwhataspectstheseinitiativesshouldfocus.Reliabilityshouldbemonitoredbyarchivingthreatstoreliability.Eachthreatshouldberegisteredandstoredinanincidentdatabase.ThisinformationcouldbeusedtodeterminethereliabilitylevelofOxilion.Additionally,theinformationstoredinthedatabasecouldbeusedforlearningpurposes.Byreusingstoredresolutionstrategiestheorganizationcouldachievemoreeffectiveerror-‐correction(single-‐looplearning).Byinnovatingandcombiningstoredresolutionstrategiestheorganizationcoulddevelopnewresolutionstrategies(double-‐looplearning).Theinsightsprovidedbythemonitoringtoolmightleadtoanadjustmentinlearningstyleandconsequentlydeuterolearning(learningtolearn).Tosumup,inordertorealizereliability,Oxilionshoulduseatoolthatconsistsoutofthreesubtools:(1)anincidentdatabasetomonitorreliabilityandfacilitatelearning,(2)ahalf-‐yearlyinternalsurveytomonitormotivationand(3)ahalf-‐yearlyassessmenttomonitorexperientialknowledge." @default.
- W137927711 created "2016-06-24" @default.
- W137927711 creator A5055180834 @default.
- W137927711 date "2010-01-01" @default.
- W137927711 modified "2023-09-27" @default.
- W137927711 title "Enabling high reliability of network infrastructure; an explorative study to map and monitor appropriate motivations and forms of knowledge that enable reliability" @default.
- W137927711 hasPublicationYear "2010" @default.
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