JournalofManagementInformationSystems/Spring2008,Vol.24,No.4,pp.199–224. ©2008M.E.Sharpe,Inc. 0742–1222/2008$9.50+0.00. DOI10.2753/MIS0742-1222240408
BrandingAlliancesandWebSite
QualityonInitialConsumerTrustof
E-CommerceWebSites
PAULBENJAMINLOWRY,ANTHONYVANCE,GREGMOODY, BRYANBECKMAN,ANDAARONREAD
PAULBENJAMINLOWRYisanAssistantProfessorofInformationSystemsattheMarriott School,BrighamYoungUniversity,andaKevinandDebraRollinsFacultyFellow. His interests include human–computer interaction (collaboration, communication, entertainment),e-business(privacy,security,trust),andscientometricsofinformation systemsresearch.HereceivedhisPh.D.inManagementInformationSystemsfrom theUniversityofArizona.HehasarticlespublishedintheJournalofManagement InformationSystems,JournaloftheAIS,CommunicationsoftheACM, Communica-tions of theAIS,Decision Support Systems,IEEETransactions on Systems, Man, andCybernetics,IEEETransactionsonProfessionalCommunication,SmallGroup Research,InformationSciences,JournalofBusinessCommunication,andothers.He servesasanassociateeditoroftheCommunicationsoftheAIS.
ANTHONYVANCEisaPh.D.candidateinComputerInformationSystemsintheJ.Mack RobinsonCollegeofBusinessatGeorgiaStateUniversityandtheUniversitéParis– Dauphine,ResearchCenterinManagementandOrganization(DRM/CREPA).His researchinterestsincludetrustandIT,ISsecurity,internalcontrol,andinternational issuesofIT.BeforeundertakinghisPh.D.,heworkedasanITsecurityconsultant forDeloitte.
GREGMOODY isaPh.D.studentinInformationSystemsattheUniversityofPitts-burgh.HehasanM.S.inInformationSystemsManagementfromtheMarriottSchool, BrighamYoungUniversity,wherehewasalsoenrolledintheInformationSystems Ph.D.PreparationProgram.Hisinterestsincludee-business(electronicmarkets,trust) andhuman–computerinteraction(Websitebrowsing,entertainment).
BRYANBECKMANisaPh.D.studentinComputerInformationSystemsintheJ.Mack RobinsonCollegeofBusinessatGeorgiaStateUniversity.HeearnedaB.A.inNear EasternStudiesandanM.S.inInformationSystemsManagementfromtheMarriott School,BrighamYoungUniversity,wherehewasalsoenrolledintheInformation SystemsPh.D.PreparationProgram.HisresearchinterestsincludeISmanagement andstrategy,useracceptanceofIT,andonlinetrustandreputationmechanisms.
theFacilitatorsofTechnicalKnowledgeSharing.”HealsoreceivedanM.S.inInfor-mationSystemsManagementfromtheMarriottSchool,BrighamYoungUniversity, wherehewasalsoenrolledintheInformationSystemsPh.D.PreparationProgram.
ABSTRACT:Trustisacrucialfactorine-commerce.However,consumersarelesslikely totrustunknownWebsites.Thisstudyexploreshowless-familiare-commerceWeb sitescanusebrandingalliancesandWebsitequalitytoincreasethelikelihoodofinitial consumertrust.Weusetheassociativenetworkmodelofmemorytoexplainbrand knowledgeandtoshowhowthemereexposureeffectcanbeleveragedtoimprovea Website’sbrandimage.Wealsoextendinformationintegrationtheorytoexplainhow brandingalliancesareabletoincreaseinitialtrustandtransferpositiveeffectstoWeb sites.Testingofourmodelshowsthatthemostimportantconstructsforincreasing initialtrustinourexperimentalcontextarebrandingandWebsitequality.Finally,we discussfutureresearchideas,limitations,implications,andideasforpractitioners.
KEYWORDSANDPHRASES:associativenetworkmodelofmemory,brandawareness, brandimage,brandingalliance,e-commerce,informationintegrationtheory,Internet, trust,Websitequality.
TRUSTISCRITICALINFACILITATINGE-COMMERCEandonlinetransactions[3,24,26,37,43, 56]andinforminglong-termcustomerrelationships[15,23,37].Trustisastrong, positivepredictorofaconsumer’sintentiontopurchase,whichinturnisagoodpre-dictorofpurchasing[15,16,39,67].However,thegrowthofe-commercecontinues tobeimpededbyconsumers’lackoftrustinonlinevendors[3,24,26,37,43,56].
Akeychallengetoe-commerceisthatcreatingtrusttypicallyrequiresmultiple interactionsandsuperiorserviceoveraperiodoftime[22,37].Also,e-commerce Websitesthatdonothaveestablishedreputationsorbrandsareatadisadvantage becauseconsumersaremoretrustingofWebsiteswithrecognizedbrands[4,71].For example,e-commerceWebsiteswithmoreestablishedbrandsmaybeabletocharge significantlyhigherpricesthanWebsiteswithoutestablishedbrands[11].Also,unlike offlinecommerce,greatervulnerabilityexistsinonlinetransactionsduetotheseller’s physicalabsence[3,13,24,43].Whenconsumersareunfamiliarwithavendor’sWeb site,theyarelesslikelytotrustitandarethereforelesslikelytoinquireaboutitand purchaseproductsfromit[22,27].Suchfactorscanbesubstantialimpedimentsto start-upcompanies,lesser-knownfirms,andfirmsenteringnewmarkets.
Theinclusionofthebrandofawell-knownthird-partycompanyallowsconsumers torecallmoremeaningful,powerfulinformationwhendecidingonapurchase[34,35]. Co-brandingalliancescancausethepositiveassociationsofawell-knowncompany tobeattributedtoalessfamiliarentity[27,63,69].Thus,co-brandingalliancescould beeffectiveinimprovingtrustinWebsites;however,littleispresentlyknownabout co-brandingwithWebsites.
reflectionofthetrustworthinessofacompany(asalsosupportedby[31]);however, theirclaimsarenotsupportedbyempiricalevidence.Anadequatemodelintegrating trustandWebsitequalityhasyettobesetforth,eitherduetoalackofamodelto accountforempiricalsupportofWebsitequalityleadingtotrust(e.g.,[5,50])ora lackofempiricalsupportoftheproposedmodel[22].Giventheimportanceoftrust inonlinetransactionsandthechallengeofdevelopingtrustwhenaWebsiteinvolves alesser-knownbrand,thisstudyaddressesthefollowingresearchquestions:Whena companyorbrandisnotwell-known,arethereways—suchasbrandingandWebsite quality—todeveloptrustmorerapidly,orshouldavendorrelysolelyonexhibiting trustworthybehaviorovertime?Ifbranding,Websitequality,andpersonaldisposition totrustallimpactconsumertrust,whichfactorsaremostimportant?Inthispaper, weanswerthesequestionsandprovidetheoreticalexplanationsforwhythird-party co-brandingalliancesandWebsitequalityshouldimproveinitialtrustinunfamiliar e-commerceWebsites.Weanswerthesequestionswhileaccountingforthecomplex, multidimensionalnatureoftrust—initsnomologicalnetwork—whichistypically overlookedincurrente-commercestudies[49].
Background
DefiningBrandEquity,BrandAwareness,andBrandImage
AKEYGOALOFANYWEB-BASEDBUSINESSshouldbetobuildbrandequitytoincrease onlinetransactions.Abrandis“aname,term,sign,symbol,ordesign,orcombination ofthemwhichisintendedtoidentifythegoodsandservicesofonesellerorgroup ofsellersandtodifferentiatethemfromthoseofcompetitors”[38,p.442].Brand equityisameasureofthefavorablemarketoutcomesthatwouldnothaveoccurred ifthesameproductorservicedidnothavethatbrandassociatedwiththeproductor service[35].Brandequityiscreatedwhenaconsumerhasanawarenessofabrand andanassociatedpositiveimagethattogethercreateuniquebrandassociations[35]. Hence,toachievemarketadvantages,itiscriticalforaWebsitetoincreasebrand knowledge.Brandknowledge[35]iscomposedofbrandawarenessandbrandimage. Brandawareness isaconsumer’sabilitytoidentifyabrandunderdifferentcondi-tions[35].Brandawarenessconsistsofbrandrecognition(aconsumer’sabilityto recognizethatheorshehasbeenpreviouslyexposedtothebrand)andbrandrecall (theabilityofaconsumertogeneratethebrandfrommemorygivenarelatedcue, suchasaproductcategory)[35].Brandimagedefinesthesetofnegativeorpositive associationsaconsumerhaswithabrand[35].Thesebrandassociations“aretheother informationalnodeslinkedtothebrandnodeinmemoryandcontainthemeaningof thebrandforconsumers”andcanvaryinstrength[35,p.3].
TheAssociativeNetworkModelofMemory:
StoringBrandInformation
Beforeproceedingtothetheoreticalmodel,wedescribetheassociativenetworkmodel ofmemoryuponwhichourtheoreticalmodelisbuilt.Cognitivescienceresearchers generallyagreethattheassociativenetworkmodelisausefulmodeloflong-term memory(LTM)[1,34].Inthismodel,LTMis“representedasanetworkofnodes andconnectinglinks,wherenodesrepresentstoredinformationorconceptsandlinks representthestrengthofassociationbetweennodes”[34,p.317].Thismodelispar-ticularlypowerfulwithinthecontextofbranding.Thismodelexplainsthatanything thatrelatestobrandknowledge,suchasbrand-specificinformation,brandidentifica-tion,productcategory,andsoon,canbestoredasamemorynode[34].Theretrieval ofinformationinLTMcomesthroughspreadingactivation[1,34]:
AparticularnodeinLTMisactivatedbyaretrievalcue,andactivationspreads fromthatnodetootherlinkednodesinLTM.Whentheactivationofaparticular nodeexceedsathresholdlevel,itscontentsarerecalled.Thestrengthsofthe associationbetweentheactivatednodeandallotherlinkednodesdetermine whichnodesareactivated.[34,p.317]
Asanillustration,Figure1representstheLTMofahypotheticalconsumerwith respecttohisorherbrandknowledgeofRitz-Carlton.Thestrengthofthelinksbe-tweenthenodesisrepresentedbythethicknessofthelines.Thus,givenaretrieval cue—forinstance,aRitz-Carltonlogo—thefirstnodetobeactivatedwouldbethe “Ritz-Carlton”node.Next,throughspreadingactivation,themostlikelynodestobe activatedwouldbehotelandtopservice,thenclassy,refined,discreet,roomservice, sleepingin,pleasant,andrelaxation.
Aneffectiveretrievalcueisthekeytoretrievinginformationfromanode.Brands, logos,andsoonserveassuchcues[34].Thus,strongbrandfamiliarityprovidesan effectiveretrievalcueforaccessingbrandknowledge.Brandfamiliarity“captures consumers’brandknowledgestructures,thatis,brandassociationsthatexistwithina consumer’smemory”[12,p.293].Itisimportanttonotethat“establishedsuccessful brandshelptocreatedifferentiationthroughbrandassociationsthatgobeyondthe limitsofthefeaturesandattributesoftheproductitself”[42,p.35].
TheoreticalModel
showhowbrandalliancescancreatestrongerassociationsbetweenwell-knownbrands andunknownWebsites.Fourth,fornomologicalvalidity,weintegrateourtheoryby confirmingandextendingMcKnightetal.’s[49]modeloftrusttoadditionallyshow thatinitialtrustingbeliefswillbeaffectedbyconsumers’institution-basedtrustand dispositiontotrust.Thosebeliefs,inturn,affectinitialtrustingintentions.
BATMStage1:StrengtheningStoredBrandImageThrough
Exposure
Wepositthatgreaterbrandawarenessthroughrepeatedexposurewillpositivelyin-creasetheimageofabrandbycreatingorstrengtheningexistingimagenodes’links tothebrandnodesstoredinmemorythroughthemereexposureeffect.Themere exposureeffectistheobservedphenomenonthatthe“mererepeatedexposureofthe stimulusisasufficientconditionfortheenhancementoftheindividual’sattitudeto thatstimulus”[72,p.384].Bornsteinconductedaseminalmeta-analysisofmore than200experimentsonthemereexposureeffectandsummedupthephenomenon bystatingthat“familiarityleadstoliking”[8,p.265].
Thetwo-factormodelofmereexposureeffects,initiallydevelopedinBerlyne[6]and extendedinStang[65],providesstronginsightsastowhyandhowthemereexposure effectoccurs[8].Thismodelconsidersthecombinedeffectsofstimulushabituation andboredom[8](thelatter,whichrelatestolong-termeffectsofrepeatedexposure, isnotaddressedinthisstudy).Stimulushabitationaccountsforthemereexposure effectprimarilythroughtheideathatpeoplejudgetheunfamiliartobethreatening andthusdevelopnegativeimpressionstowardunfamiliarthings.
Impressionsthroughmereexposurearerepresentedeitherbynewnodesrepresent-ingtheimpressionsinmemoryassociatedwiththebrandknowledgenode(s)orby
strengtheningtheassociationbetweenexistingimpressionnodesandbrandknowledge nodes.Becausenodeswithlinksofhigherstrengtharemorelikelytoberetrieved [34],effortstoenhanceimpressionsthroughrepetitionincreasethelikelihoodoffuture positiveimpressionretrieval.
Wenowapplythismodeltobrandawarenessandbrandimageandextendthemodel toe-commerceWebsites.Brandawarenessincreaseswithexposuretoabrandand typicallyoccursthroughrepeatedadvertisingexposureovertime.Brandswiththe mostadvertisingtendtodevelopthemostawarenessandfamiliarityamongconsumers [7].Thepositiveeffectsofrepetitionhavelongbeenstudiedinadvertisingandare foundtohelpimprovepositiveimpressionandrecall,whichinturnresultinahigher intentiontopurchase[61,62].Repetitionoflogoshasalsobeenusedtohelpprime positiveimpression[58].Moreover,asbrandsbecomemorefamiliarthroughincreased awareness,theyaremorelikelytobefavoredastried-and-trusted,familiarsignals [29].Morebrandawarenessgenerallyresultsinlessthreattoconsumersbecauseof increasedfamiliarity,andthusresultsinmorepositiveimpressions,asmanifested throughimprovedbrandimage.Forexample,inFigure1,thebrandimageofRitz-Carlton would largely be manifested through spreading activation of the positive impressiontraitsofclassy,refined,discreet,andpossiblythroughfurtheractivation ofrelaxationandpleasant.
Conversely,littleexposuretoabrandresultsinlittleawareness(manifestedbyfew tononodesbeingrecalled,givenaretrievalcue),whichshouldresultinincreased threattoconsumers,becauseoftheunfamiliarandriskiernatureofthebrand,andthus morenegativeimpressions,whichwillbemanifestedthroughanegativebrandimage. Giventheabove,weproposethatbrandawarenesspositivelyaffectsbrandimage:
Hypothesis1:Exposuretoabrandofwhichaconsumerhashighbrandaware-nesswillcauseamorepositivebrandimagethanexposuretoabrandofwhich aconsumerhaslowbrandawareness.
BATMStage2:IncreasingTrustwithBrandAwarenessand
Image,andWebSiteQuality
Trusthasbeenaddressedinseverale-commercestudies(see[24,26,48,55]fora morecompletereview).Ourstudyfocusesprimarilyoninitialtrustbecauseofits criticaleffectonfirst-timevisitorstoaWebsite[43,51].Initialtrusthasbeendefined astheabilityofthetrustertobelieveandrelyuponthetrusteewithoutanyfirsthand knowledgeofthetrustee[51].
WebSiteQuality(TrustSource1)
WenowexplainhowpositiveimpressionsofaWebsite’squalityenhanceinitialtrust-ingbeliefs.PerceivedWebsitequalityreflectsconsumers’overallperceptionsofhow welltheythinkaWebsiteworksandlooks,particularlyincomparisontoothersites [49].Websitequalityhasbeenexaminedbyadiversenumberofstudieswithinthe informationsystems(IS)[36,60]andmarketingdisciplines[73].Moststudieshave conceptualizedWebsitequalityasaformativeconstructcomposedofseveralsubcon-structs,althoughthereisnoclearconsensusastowhichsubconstructstouse[70].At least30differentsubconstructsofWebsitequalityhavebeenidentifiedinliterature [20].However,typicalcomponentsofconceptualizationsofWebsitequalityinclude navigability[45],graphicalstyle[53],andfunctionality[74].WefollowMcKnight etal.[49],withWebsitequalitybeingdefinedbytheuser’sgeneralperceptionof navigability,aesthetics,andfunctionalityoftheWebsite.
ThepositivelinkbetweenWebsitequalityandtrustissupportedbyEverardand Galletta[16],whoexplainhowimpressionformationbasedonWebsitequalityaf-fectstrustinaveryshortperiodoftime.Theypredict,andshowempiricalsupport, thattheinitialimpressionsofperceivedWebsitequalitypositivelyaffecttrust.Thus, perceivedWebsitequalityservesasaretrievalcueandenablesconsumerstoplace trustintheWebsitebecauseitevokesfeelingsoftrusttowardthevendor.Similarly, HaandPerks[27]conductedastudythatfoundthatincreasedexperiencewithanef-fectivelydesignedWebsiteincreasedthetendencyofconsumerstotrusttheWebsite. Initialtrustcanalsobeincreasedbycuesorimpressionsthatserveasthestrongest firstgeneralimpressionoftheWebsite[43].
Accordingly,ifaconsumer’sinitialexperiencewithaWebsiteisnegative(e.g.,from anonresponsive,inaccurate,orflawedpresentation),thenhisorherinitialimpression (whichwillbeusedasaretrievalcue)islikelytoactivateanodeandassociatedlinks thatinvolvenegativeimpressions;thiswouldcausetheconsumertoinfernegative beliefsaboutthevendor’sattributes.Conversely,aconsumer’sinitialimpressionof aprofessional,timely,andhigh-qualityWebsiteasaretrievalcueislikelytoactivate anLTMnodeandassociatedlinksthatinvolvepositiveimpressions,whichwould enabletheconsumertoinferpositivebeliefsabouttheattributesofthevendorthat enableinitialtrustandimprovetheperceptionofthebrand’simage.
WhilenomemorynodesexistforanewWebsite,thepositivefeaturesofthenew WebsitecouldactasretrievalcuestonodesforqualityWebsitesorothercontextsof highprofessionalismthattheuserhasestablishedinLTM.BylinkingthenewWeb sitetothesetypesoftrustedattributes,trustingbeliefswouldbeindirectlyassociated withthenewWebsitenodethroughthetrust-relatedattributesassociatedwiththe Website.Moreover,astheWebsitestimulatesattributesneededforatrustedvendor, perceivedWebsitequalityshouldalsoincreasetheperceivedbrandimageofthe unknownWebsite.
Brand(TrustSource2)
Anexploratorystudyoftheantecedentsofonlinetrustshowedapositiverelation-shipbetweenawarenessofacompanyandtrustinitsWebsite[71].LikeWebsite quality,brandservesasaretrievalcuetoaffecttheattributesofthevendor’simage, whichenablestrustingbeliefs.Therearemanybrandattributesthatcaninfluencethe feelingsoftrustthatconsumershavetowardabrand,whichareconveyedthrough thesenseofbrandimage.Brandswithpositivebrandimageconveypositiveimpres-sionsthatserveasassociationstostrengthentheconsumer’sbeliefthatthetrusteehas positiveattributesthatarebeneficialtothetruster.Conversely,brandswithnegative imagesandunknownbrandsdonothaveassociationswithintheconsumer’smemory topositivelyaffectthebeliefsofthetruster.Asaresult,brandsthathaveapositive imageareassociatedwithpositiveattributesthatenablethetrustertoinferincreased trustingbeliefsinthevendor.Thisindirectassociationthroughbrandimageprovides abasisforconsumerstoestablishinitialtrustingbeliefsinaWebvendorwithoutthe previousinteractionsthatwouldnormallyprovidethebasisfortrust.Thetiebetween brandandtrustbecomesmoreimportantwithinthecontextofe-commerceWebsites because“brandscanprovidegreatercomfortonlinethanofflineincustomerchoice [13,71]”[4,p.136].
BATMStage3:IncorporatingInformationIntegrationTheory
GivenStages1and2,wecannowexplainhowbrandalliancescanbeusedasretrieval cues to activate associated positive attribute nodes and create positive links with unknownWebsites.Abrandallianceisthe“short-orlong-termassociationoftwo ormoreindividualbrands,products,and/orotherdistinctiveproprietaryassets”[64, p.31].Brandallianceisalsoanumbrellatermforco-brandingandsimilartechniques suchascross-promotion,jointmarketing,andjointbranding[64].Brandalliancescan applytothecontextofe-commerceWebsitesbecausesuchalliancescanbesymbolic throughuseofbrandnamesorlogos[64].Brandalliancesallowunfamiliarbrandsto sharetheimageofhigher-imagebrands.
SimoninandRuth[64]proposeatheorythatshowshowpreexistingimpressionsor associationswithbothbrandsinabrandalliancecombinewithperceptionsofproduct fitandbrandfittocreateanoverallimpressionofthealliance,whichinturndirectly predictstheoverallimpressionofeachbrand.SimoninandRuth’stheoryisbasedon researchshowingthatsecondary,non-product-basedassociationsarepowerfulinflu-encesonthebrandimagenodesinmemory[35].Theselinksneednotbedirectly relatedtoabrand—theysimplyneedtobeassociatedwithabrandsothattheassocia-tionandbrandarerecordedaslinkedassociationsinmemory.ThemodelSimoninand Ruth[64]usetoexplainthesetiesiscalledinformationintegrationtheory[2],which furtherexplainshowpeoplewilllikelyprocessexistingnodesandassociationsand createnewlinksbetweennodes(inourcase,becauseofbrandalliances).
associatedwiththebrandareused[17,18,64].Whensuchanassociativenodeismore accessible,itwillbiastheinformationprocessingregardingthebrandinthedirection oftheassociatedpositiveornegativeimpression[19,30,64].Intermsoftheassocia-tivenetworkmodel,strongimpressionstowardbrandshavestrongerandmorelinks tobrandinformationnodesthanweakimpressions.Theseimpressionsarethusmore likelytoberetrievedwhenanexternalretrievalcueisgiven,resultinginincreased positiveornegativeimpressions.Applyingthistheorytobrandalliances,
Judgmentsaboutthebrandalliancearelikelytobeaffectedbypriorattitudes towardeachbrand,andsubsequentjudgmentsabouteachbrandarelikelyto beaffectedbythecontextoftheotherbrand.Thebrandalliancestimulusinfor-mation,presentedthroughadvertisingorbyexperiencingitdirectly,accesses relatedaffectandbeliefsaboutthosebrandsandtheproductsthatarestoredin memory.[64,p.32]
Inourcontext,thebrandalliancestimulusinformation(retrievalcue)isthebrand nameorlogo.
Toclarifyourmodel,ifonebrandalliancepartnerhasaweaknetworkofassocia-tionsandpooraccessibility(theunknownWebsiteinourcontext),thenthepositive spillovereffectofthestrongalliancepartner(theknownbrandinourcontext)onthe weakerbrandalliancepartnerwillbestrong[17,18,64].Asaresult,anyrecalledas-sociationsrelatingtothestrongermemberofthealliancewillthenbeassociatedwith theweakerpartneraswell[10,64].However,“attitudestowardafamiliarbrandwill bemoreresistanttochange”[64,p.34]becausethestrongbrandwillhaveanexten-sivenetworkofnodeswithstrongassociationsandisthuslesslikelytobenegatively affectedbytheunknownpartner.
SimoninandRuth’s[64]empiricalfindingssupporttheirtheoryandshowstrong evidenceforthenotionofalesser-knownbrandgettinga“freerider”effectoutofan unequalbrandalliance.SimoninandRuthalsoshowthatbecausehighlyfamiliarbrands arehighlyresistanttochanges[64],lesser-knownbrandsgenerallydonotnegatively affecttheimageofwell-known,entrenchedbrands[69].Infact,mostwell-known brandsgenerallybenefitfrombrandingalliancesbystrengtheningpreexistingposi-tivebrandknowledge[67,69].Thesameresearchsuggeststhatco-brandingcouldbe effectiveforintroducingnewproductswithunknownbrandnames[69].Weextend thisassumption,whichprovidesanextremeformofabrandalliance,topartnering withanunknownbrand.Althoughthescenarioofapurefreeriderhasnotbeentested, thesametrusttransfershouldoccurifourtheoryholds.Combiningthetheoryinthis section(onbrandalliances)withthetheoryintheprevioussection(whichdescribes howbrandawareness,brandimage,andWebsitequalityaffectinitialtrustingbeliefs) yieldsthefollowinghypotheses:
Hypothesis3:AWebsiteofanunknownbranddisplayinganassociatedthird-partybrandofwhichaconsumerhasapositivebrandimagewillelicitmore initialtrustingbeliefsthanasimilarWebsitewithabrandforwhichalessposi-tivebrandimageexists.
Hypothesis4:AWebsiteofanunknownbrandthatisperceivedtohavehighWeb sitequalitywillelicitmoreinitialtrustingbeliefsthanasimilarWebsitethatis perceivedtohavelowWebsitequality.
Furthermore,ifthismodelholds,theimpactofpositiveaffectiveassociationsshould gobothways:aslongastheadditionalaffectiveinformationdoesnotconflictwith existingassociations,anunknownWebsitethatisjudgedtobeofhighqualityshould createapositiveassociationforathird-partybrandthatservesastheretrievalcuefor theunknownWebsite.
Hypothesis5:AWebsiteofanunknownbrandthatisperceivedtohavehigh Websitequalitywillgenerateagreaterincreaseinpositivebrandimageforan associatedthird-partybrandthanasimilarWebsitethatisperceivedtohave lowWebsitequality.
BATMStage4:ExtendingtoMcKnightetal.’sModelofTrust
To complete our trust predictions and to maximize the nomological validity of our study, we include the predictors of trusting beliefs that have been previously examined—dispositiontotrustandinstitution-basedtrust.Weincludethesepredictors becausetheyaccountforalternativeexplanationsofhowinitialtrustingbeliefsmay beaffectedinourstudy[43].
DispositiontoTrust
theserelationshipsarecharacterizedbysocialdistance,whichlimitstheamountof informationaconsumerhasaboutthevendor”[52,p.254].Wereplicateandextend thesepredictionsandfindings:
Hypothesis6:One’sdispositiontotrustpositivelyaffectsone’sinitialtrusting beliefs.
Hypothesis7:One’sdispositiontotrustpositivelyaffectsone’sinstitution-based trust.
Institution-BasedTrust
McKnightetal.defineinstitution-basedtrustas“thebeliefthattheneededstructural conditionsarepresent(e.g.,intheInternet)toenhancetheprobabilityofachieving a successful outcome in an endeavor like e-commerce” [49, p.339].They define twodimensionsofinstitution-basedtrust:structuralassurance,which“meansone believesthatstructureslikeguarantees,regulations,promises,legalrecourse,orother proceduresareinplacetopromotesuccess”[49,p.339],andsituationalnormality, which“meansonebelievesthattheenvironmentisinproperorderandsuccessis likelybecausethesituationisnormalorfavorable”[49,p.339].Theyalsopredictthat institution-basedtrustisapositivepredictoroftrustingbeliefstowardaWeb-based vendor.Inarelatedstudy,McKnightetal.[52]foundthatone’sstructuralassurance positivelyaffectedone’strustinaWebsite.Theexplanationforthisrelationshipis that“consumerswhofeelsafeabouttheInternetingeneralaremorelikelytotrust aspecificwebbusiness”[52,p.255],aclaimsupportedinGefenetal.[26],Kimet al.[37],McKnightandChervany[48],Pavlou[54],andPavlouandGefen[57].We replicateandextendthesepredictionsandfindingstotestthenomologicalvalidity ofourmodel:
Hypothesis8:One’sinstitution-basedtrustpositivelyaffectsone’sinitialtrust-ingbeliefs.
Hypothesis9:One’sinitialtrustingbeliefspositivelyaffectsone’sinitialtrusting intentions.
Figure 2 graphically summarizes the hypotheses that operationalize our BATM theorywiththenomologicalextensiontoMcKnightetal.’smodel.
Method
Design
Participants
Atotalof298studentsatalargesoutheasternuniversityparticipatedintheexperi- ment.AllwerestudentsinsectionsofanintroductoryIScourserequiredforbusi-nessundergraduatesandwereofferedextracredittoparticipateinthestudy.Thus, arangeofbusinessmajorswasrepresentedinoursample.Thesamefacilitatorand samecoursewereusedforalldatacollection,whichwasdoneatfourdifferenttimes betweenDecember2005andJanuary2007.Human-participantapprovalwasobtained forthisstudy,andallstandardprocedureswerefollowed.Theparticipantpoolwas wellbalancedintermsofgenderanddiversitywithrespecttothedemographicsof theuniversity.Eventhoughparticipantswereinanintroductorycourse,thestudents tendedtobeolderandmoreexperiencedthantypicalintroductorycoursestudents: theaverageagewas22.8(standarddeviation[SD]6.8),andtheaverageyearsincol-legewere3.8(SD1.2).
Treatments
TheexperimentconsistedofaWeb-basedsimulationofahotelreservationWebsite similartoExpedia(www.expedia.com).Accordingtoanestablishedrandomization algorithm,aserverrandomlyassignedparticipantstoatreatment.Thismaximized randomizationbutcausedunequalsizesoftreatments.Participantswereassignedto
acontrol(nonameorlogo),nameonly,logoonly,ornameandlogobrandingtreat-mentwithahigh,low,orunknownthird-partybrandontheexperimentalWebsite.We chosetodeliverbrandingknowledgeinthesecombinationssothatwecouldalsotest whetheranyoftheseformsofretrievalcuesweresuperiortotheothers.Thisproce-dureresultedina3×3,fullycrossedexperimentwithacontroltreatment.Beforeany treatmentwasexperienced,allparticipantsreadinstructionsabouttheexperimentand itsprocedures,providedbasicdemographicinformation,andparticipatedinapretest developedbyMcKnightetal.thatmeasuresone’sdispositiontotrust[49].Table1 summarizesthetreatments.
BrandAwarenessandBrandImage
ParticipantsviewedtheHotelBooking.comWebsite(thefictionalWebsitecreatedfor theexperiment)withathird-partybrandasindicatedbyanameand/orlogoonthetop andbottomofthepage.Participantsweregiventherealistictaskofconfirmingaroom reservationonthissimulatedhotelWebsite.Bothhigh-image(Ritz-Carlton)andlow-image(Motel6)brandconditionswereconsideredhigh-brand-awarenessconditions, whereasthefictitioushotelwasconsideredalow-brand-awarenesscondition.
High,Low,orUnknownThird-PartyImage
Eachparticipantwasshownathird-partylogoand/ornameforahigh-image,low-image,orunknownlodgingcompany.Weusedthenamesandlogosoftwoactual lodgingcompaniestoserveashigh-andlow-imageexamples,andcreatedaname andlogoforafictitioushoteltoserveasanunknownbrand.
Control
ControlparticipantsviewedthesimulatedWebsitewithnothird-partysponsorshown onthepage.Thiswastheno-brand-awareness/no-brand-imagecondition.Participants wereaskedtocompletethesametaskasparticipantsintheothertreatments. Table1.SummaryofTreatmentsandNumberTested(N=298)
High-image Low-image Unknown
third-party third-party third-party
Treatment brand brand brand Control
1. Logo-only
branding 37 33 39 —
2. Name-only
branding 18 20 18 —
3.Logoandname
branding 31 29 32 —
Aftercompletingthetask,participantsansweredquestionsthatgatheredtheirpercep-tionsabouttheirperceivedlevelsoftrustandtheirperceivedimageofthethird-party brander.Thisprocedureenabledustogathertheperceivedimagethateachthirdparty hadoneachparticipantandtheperceivedleveloftrustthattheparticipanthadinthe simulatedWebsite.
Measures
WeusedaninstrumentdevelopedbyJavalgietal.[33]tomeasureperceivedimage andanotherinstrumentdevelopedbyLastovickaandGardner[40]tomeasurebrand awareness.Aseparateinstrumentwasusedtomeasureperceivedonlinetrust[49]. Minorwordingchangesweremadetotheimageandtheonlinetrustinstrumentsso thattheywereparticularlyapplicabletothehotelbookingWebsitetask.1
Procedures
TheexperimentinvolvedasimulatedWebsitethatparticipantsaccessedfromacom-puter.Experimentalproceduresgiveninaninstructionalpacketwereadministered uniformlyforallparticipants.Theinformationpacketcontainedaninformedconsent formandinstructionsfortheexperimentaltask.Allrelevantinformationwascontained inthepacket.Onceparticipantsfinishedreadingthepacket,theyproceededtothe simulationWebsite.
Allparticipantscompletedabasicdemographicsurveyandthepretestportionsof theMcKnightetal.[49]onlinetrustinstrument,whichassessedparticipants’dispo-sitiontotrust.OnceparticipantsaccessedtheexperimentWebsite,thesimulation serverrandomlyassignedparticipantstoonetreatmentandforwardedthemtothe appropriateWebsite.
Wehelpedpreventhypothesisguessingbyassigningarealistictaskthatdidnot directlyaffectanyofourhypothesesorrevealthenatureofourstudy.OntheHotel-Booking.comsimulationWebsite,participantswereaskedtoconfirmthereservation ofanalreadyselectedhotelroomasoutlinedintheirinformationpacket.Participants wererequiredtousefakeidentitiesforthepurposeoftheexperimentasrequiredbythe universityinstitutionalreviewboardtocompletethereservation.Oncetheparticipants reviewedthecompletenessandaccuracyoftheinformationandofthereservation, theexperimentalsimulationwascomplete.Theparticipantswereforwardedtothe posttreatmentinstrumentonaseparateWebpage.
Analysis
ManipulationValidityandTreatmentTests
questionswereaddedtotheposttesttodeterminetowhatdegreeparticipantsper-ceivedtheirtreatmentmanipulations.Themanipulationcheckascertainedwhether theparticipanthadnoticedthethird-partycompanylogoand/ornamedisplayedon thesimulationWebpages.Ofthe298participants,18didnotnoticethemanipulation (notcountingthe41controlparticipants).Althoughthe18unmanipulatedparticipants mighthaveaddedunexplainedvariancetotheresults,datafortheseindividualswere retainedforanalysis.Straubetal.suggestthatalthoughunmanipulatedparticipants addadditionalvariancetoresults,datafortheseparticipantsmayprofitablybere-tainedinthedatasettoprovide“amorerobusttestingofthehypotheses”[68,p. 408].Havingestablishedthatthemajorityoftheparticipantsinourexperimentwere consciousofthemanipulation,wechosetheconservativeapproachofretainingthe unmanipulatedindividualstoenhancetherobustnessofourtests,thoughthisreten-tionweakensourresults.
We also tested whether brand and image treatments had the expected effect. In performingthesetests,weretainedthedataoftheparticipantswhobelievedthey werenotmanipulated;thus,theresultsarequiteconservative.Tochecktheefficacy ofbrandtreatments,wegroupedtheparticipantsbythewell-knownbrandscondi-tions(µ=4.30,SD=0.86),andthecontrolcondition(nobrand)andthefakebrand wereclassifiedasunknownbrands(µ=4.04,SD=0.88).Usinganalysisofvariance (ANOVA),thistestedpositivelyatF=6.30(1,298),p=0.013.Tochecktheeffect ofimagetreatments,wegroupedthecontrolconditionandfakebrandasunknown brandsthatshouldhavehadlowimages(µ=4.12,SD=0.83),andweseparatedthe low-imagecondition(µ=4.08,SD=0.8)andhigh-imagecondition(µ=4.5,SD= 0.79),withtheexpectationthatthehigh-imageconditionshouldhavethehighestim-age.PosthocTukey’scomparisonspartiallyconfirmedtheefficacyofthistreatment atF=6.37(1,298),p =0.002,showingthatthehigh-imageconditionhadthehigh-estimage;however,itwasalsoshownthattheunknownbrandsstatisticallyhadthe sameimageasthelow-imagecondition.(Thisinterestingresultisfurtherexplained intheDiscussionsection.)
FormativeVersusReflectiveIndicators
AkeystepbeforeassessingfactorialvaliditythathasrecentlycometolightinIS research is to determine which constructs are formative and which are reflective. Given that all of our measures were carefully validated in previous research, our analysiswaslargelyconfirmatory[14,32,59].Likewise,itisalsocriticaltoconsider whetheranyoftheconstructsrepresentsecond-orderconstructscomposedoffirst-orderconstructs(ordimensions),whichcanbeeitherreflectiveorformative[46,59]. Basedonthisrecentliterature,thefollowingconstructsareformative—generalWeb experience,branding,andimage.Conversely,personalinnovativenessisreflective. WefollowedtheclearconceptualizationsandvalidationsbyMcKnightetal.[49]on allofthetrustconstructs.(Foradetaileddescriptionofthetrustconstructs,referto McKnightetal.[49].)
AssessingValidityandReliability
Toestablishthefactorialvalidityofourreflectiveindicators,wefollowedtheproce-duresoutlinedinGefenandStraub[25]andusedpartialleastsquares(PLS)forour structuralequationmodeling(SEM)analysis.Followingtheseproceduresyieldedvery highconvergentvalidity.Fordiscriminantvalidity,wefirstlookedatthecorrelationof thelatentvariablescores,whichshowedverystrongdiscriminantvalidity(exceptfor item1offollowadvice,whichwasthendropped).Wenextcomparedthesquareroot oftheaveragevarianceextracted(AVE)foreachconstructtothecorrelationsamong constructs(e.g.,[66]).This,too,confirmedhighdiscriminantvalidityaftertheone-itemadjustmentinthepreviousstep.Thishighdiscriminantvalidityisnotablegiven thelargenumberofhighlyrelatedbutconceptuallydistinctfirst-ordertrustfactors. Finally,thecompositereliabilityscores(similartoCronbach’sαinthattheyareboth measuresofinternalconsistency)showedhighreliability.2
Validating formative measures is particularly challenging because indicators in formativemeasurescanmoveinoppositedirectionsfromeachotherandcantheoreti-callycovarywithotherconstructs;thus,reliabilitymeasuresforformativemeasures aremeaningless,andtraditionalapplicationsofconvergentanddiscriminantvalidity donotapply[59].
We used a modified multitrait–multimethod approach to validate our formative constructs,asoriginallyproposedinDiamantopoulosandWinklhofer[14]andbuilt onanddemonstratedinLochetal.[44]andPetteretal.[59].Wefollowedtheemerg-ingpracticeforcheckingconvergentvalidityanddiscriminantvalidity,allowingusto concludethatreasonablediscriminantvalidityexistswithourformativeconstructs.3 Finally,becauseofthenatureofformativemeasures,reliabilitycheckscannotbe reasonablymade[14].
ResultsofTheoreticalModelTesting
Table2summarizesthehypotheses,thepathcoefficients,andthet-valuesforeachof thetheoreticalpathsinthemodel.Thespecificresultsarealsodepictedgraphically inFigure3.Figure4summarizestherefinedmodel.Thesecond-orderconstructsare representedwiththickerconstructborders.
Discussion
SummaryofResults
BASEDONOURSTUDYCONDITIONS,WEFOUND severalimportantrelationshipsthatsup-port our underlying theoretical model. Brand awareness positively affected brand image (H1) and initial trust beliefs (H2), brand image positively affected initial trustingbeliefs(H3),Websitequalitypositivelyaffectedinitialtrustingbeliefs(H4) andbrandimage(H5),dispositiontotrustpositivelyaffectedinstitution-basedtrust (H7),institution-basedtrustpositivelyaffectedinitialtrustingbeliefs(H8),andinitial trustingbeliefspositivelyaffectedinitialtrustingintentions(H9).Theoneprediction thatwasnotsupportedwastheproposedpositiverelationshipbetweendispositionto trustandinitialtrustingbeliefs(H6).
Contributions
This study provides several contributions for researchers and practitioners. Most importantly,weshowthatanunknownWebsitecancreateabrandingalliancewith aknownbrand(preferablyonewithahighbrandingimage)andalmostimmediately gainanincreaseintrustingbeliefsandintentionsfromWebsitevisitors.Accordingly, thisisthefirststudytoconfirmtheabilityofafull“freerider”(completelyunknown Web site) to positively participate in a branding alliance first studied by Simonin andRuth[64].ShowingthattrustcanberapidlyfosteredforanunknownWebsite throughabrandingallianceisalsoveryrelevantforpractice.Aspreviouslyshown, trustiscriticalinfacilitatingonlinetransactionsandisastrong,positivepredictorofa consumer’sintentiontopurchase,whichinturnisagoodpredictorofpurchases.Our theoryandfindingsareparticularlyusefulforstart-upcompaniesandfirmsentering newmarketsbecauseitmeanstheycancompetemoreeffectivelyintheshort-term throughbrandalliances.
LOWR
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ET
AL.
Expected Path t-value
Hypothesis Correspondingpaths (actual)sign coefficient (df=298)
H1 Brandawareness→brandimage + 0.384 6.57***
H2 Brandawareness→initialtrustingbeliefs + 0.142 2.74**
H3 Brandimage→initialtrustingbeliefs + 0.274 4.90***
H4 Websitequality→initialtrustingbeliefs + 0.395 7.11***
H5 Websitequality→brandimage + 0.333 6.24***
H6 Dispositiontotrust→initialtrustingbeliefs + –0.029 0.52ns
H7 Dispositiontotrust→institution-basedtrust + 0.507 10.86***
H8 Institution-basedtrust→initialtrustingbeliefs + 0.243 5.23*** H9 Initialtrustingbeliefs→initialtrustingintentions + 0.807 34.69*** N/A Dispositiontotrust—benevolenceisafirst-orderfactorofdispositiontotrust + 0.354 11.38*** N/A Dispositiontotrust—integrityisafirst-orderfactorofdispositiontotrust + 0.380 16.35*** N/A Dispositiontotrust—competenceisafirst-orderfactorofdispositiontotrust + 0.325 11.47*** N/A Dispositiontotrust—trustingstanceisafirst-orderfactorofdispositiontotrust + 0.343 10.46*** N/A Situationalnormality—generalisafirst-orderfactorofinstitution-basedtrust + 0.161 21.23*** N/A Situationalnormality—benevolenceisafirst-orderfactorofinstitution-basedtrust + 0.228 24.44*** N/A Situationalnormality—integrityisafirst-orderfactorofinstitution-basedtrust + 0.266 27.59*** N/A Situationalnormality—competenceisafirst-orderfactorofinstitution-basedtrust + 0.251 22.12*** N/A Structuralassuranceisafirst-orderfactorofinstitution-basedtrust + 0.312 22.06*** N/A Trustingintentions—dependisafirst-orderfactorofinitialtrustingintentions + 0.388 21.70*** N/A Trustingintentions—followadviceisafirst-orderfactorofinitialtrustingintentions + 0.483 24.07*** N/A Trustingintentions—giveinformationisafirst-orderfactorofinitialtrustingintentions + 0.146 12.73*** N/A Trustingintentions—makepurchaseisafirst-orderfactorofinitialtrustingintentions + 0.191 12.71*** N/A Trustingbeliefs—benevolenceisafirst-orderfactorofinitialtrustingbeliefs + 0.269 26.16*** N/A Trustingbeliefs—integrityisafirst-orderfactorofinitialtrustingbeliefs + 0.418 48.49*** N/A Trustingbeliefs—competenceisafirst-orderfactorofinitialtrustingbeliefs + 0.413 35.43***
N/A Personalinnovativeness→Websitequality N/A 0.348 6.34***
N/A Webexperience→Websitequality N/A –0.176 2.46**
Figure3.ModelTestingResults
Notes:TB=initialtrustingbeliefs;DT=dispositiontotrust;SN=situationalnormality; SA=structuralassurance;TI=trustingintentions.Varianceexplainedisindicatedforeach constructasR2.Thepathcoefficients,orbetas,areindicatedonthepathsbetweentwo
constructs,alongwiththeirdirectionandsignificance.Thesecond-orderconstructsare representedwiththickerconstructborders(dispositiontotrust,institution-basedtrust,initial trustingbeliefs,andinitialtrustingintentions).Thesignificanceofthepathestimateswas calculatedusingabootstraptechniquewith200resamples.Aswouldbeexpected,theR2sof
thesecond-orderfactorsdidnotincludethefirst-orderfactorsthatmadeupthesecond-order factorsbecausethesewouldaccountfor100percentofthevarianceinPLS.**p<0.01; ***p<0.001.
potentiallyexplainswhyconditionsoflow/nobrandknowledgehadstatisticallyequal perceivedbrandimageasdidthelow-imagebrandcondition.Absentanyotherbrand knowledgecues,participantslookedtotheWebsitequalityforretrievalcueswith whichtomakeassociationswithbrandimage.Hence,theonlywaytheno/lowbrand knowledgeconditionswouldhavehadlowerbrandimagewouldhavebeenthrough associationwithlow-qualityWebsites.Thisfindingcanhaveabigpracticalimpact onmarketingcampaignsthatbuildbrandawareness—indicatingthatWebsitequality needstobeconsideredasakeytoolinbuildingsuchawareness.
Toincreasethenomologicalvalidityofourmodel,weextendeditwithafullin-tegrationofMcKnightetal.’s[49]modeloftrustsothatwecouldaccountforthe complexandmultidimensionalnatureoftrustthatisoftenoverlookedine-commerce research.First,weaffirmedseveralimportantrelationshipsinourcontext:between dispositiontotrustandinstitution-basedtrust(H7),betweeninstitution-basedtrust andinitialtrustingbeliefs(H8),andbetweeninitialtrustingbeliefsandinitialtrusting intentions(H9).
Second,wealsoconfirmedandfurthervalidatedthemultidimensionalmodelof trustine-commercedevelopedbyMcKnightetal.’s[49]theorywhereoneoftheir findingsdidnotfullysupporttheirtheory—indicatingthattheirpredictionwascorrect. Webothpredictedthatinstitution-basedtrustwouldpositivelyaffectinitialtrusting beliefs.However,McKnightetal.foundnopositiveempiricallinkbetweenthetwo, whilewedid.Onekeydifferencebetweenourstudiesisthattheirtaskinvolveda legalWebsite,whereasoursfocusedonahotelreservationsite.Itcouldbethatpeople arelesslikelytotrustalegalWebsitethanahotelreservationsitebecausethelaw iscomplicated(andthusonemaybeatgreaterrisktotrustalegalWebsite),andour
studywasbasedonsimulatedpersonalinformation.Exploratoryresearchhasshown thatthedeterminantsofandinfluencesontrustdifferaccordingtothetypeofWeb siteandconsumer[4]:ifinformationriskishigh,privacyandorderfulfillmentmust tiestronglytotrust;forinformation-intensivesites,navigationandpresentationare the greatest determinants; for high-involvement categoryWeb sites (i.e., financial servicesandcars),brandstrengthisthegreatestdeterminant.Hence,animportant theoreticalextensionthatneedsfurtherinvestigationisthedegreetowhichperceived riskisanegativemoderatoroftherelationshipbetweeninstitution-basedtrustand trustingbeliefs.Finally,weshowedthatalogo,name,orcombinationofalogoand nameweresimilarlyeffectiveincreatingaretrievalcueforLTMbrandknowledge. Ourmodelisabletoexplainthatifabrandiswell-known,itcanberetrievedbyits nameorlogo.
Limitations
Onekeylimitationofourresearchisthatthediminishedstrengthofourmanipulations likelydiminishedthestrengthofourresults.Wedidnotpretestthehigh-imagebrand andlow-imagebrandtreatmentsmanipulationstoseeiftheycorrespondeddirectly tohighandlowbrandimages;thiscorrespondencewasarguedthroughlogicand thensupportedbyourempiricalcollection.However,wemayhavebeenabletofind strongerdifferencesbetweenotherbrandsinpretesting.Inthecaseofthefakebrand treatment,apilottestcouldhaverevealedwhetherparticipantswereabletodiscern whetherthebrandwasreal.
Furthermore, as this study involved an experiment, the study is limited in its generalizabilitytoreal-lifesettings.Thisstudymayalsobeboundedinitsabilityto begeneralizedtootherbusiness-to-consumerofferingsoutsideoftheonlinehotel reservationserviceoffering.Thisstudyisalsolimitedbytheabilityofsurvey-based measurementstofullyreflectthetruefeelingsofrespondents.Theparticipantsmay nothaveperceivedthepersonalinformationgiventheminthepacketastrulycon-fidentialandthereforemaynothaveassociatedthesamelevelofriskwiththeWeb sitesimulationastheywouldhavehadtheyusedtheirownpersonalinformation.The experimentaltaskmayhavediminishedthestrengthoftheresults.
Theothergeneralizabilitylimitationinthisstudymaybetheuseofstudents.Al-thoughstudentsarecertainlyappropriatetargetusersofcommercialtravelWebsites, theylikelyhavekeydifferencesfromless-educatedorolderusers.Webelievethat theseotherusersmaybeaffectedmorestronglybyperceptionsofWebsitequality andco-brandingbecausetheylikelyhavealowerlevelofinstitutionaltrustinthe Internet because of less experience and exposure.This supposition clearly merits furtherresearch.
ExtensionstoFutureResearch
ofsitesandtransactiontypes.Notsurprisingly,theneedfortrustandthedeterminants oftrustarenotthesameforallconsumersandforalltypesofonlinetransactions. BasedonMcKnightetal.’sstudyandourownresults,additionalresearchclearly needstobeconductedtoexamineotherdeterminantsoftrustandtocreatetypologies ofdeterminantsoftrustfordifferenttypesofWebsitesandconsumers.
However,itisimportanttoemphasizethatanypositivelinkstoanunknownWebsite couldbetemporaryandephemeralinnaturebecauserepeatedexposureisnecessary todevelopLTM.Thus,whilethefirstimpressionmaybepositive,repeatedexposure (holdingtruetoourmodel)iscriticalforanyenduringeffects.Futureresearchshould considerthelong-termtrust-developmentprocessinvolvingtheuseofbrandingalli-ancesandperformance.Lackofperformancewillalwaysunderminetrustandcreate anegativereputation.
Asbrandsbecomemorefamiliarthroughincreasedawareness,theyaremorelikely tobefavoredastried-and-trustedfamiliarsignals.However,thisprinciplehasalso been shown to occur with fake brands (called the false familiarity effect) [29]. It mightalsobeusefultoinvestigatewhetherfakeretrievalcuescouldbeusedinthe placeofhighlysimilarandlegitimateretrievalcues.Anotherpointoffutureresearch relatestothe14participantswhofelttheydidnotexperiencetheintendedmanipula-tion.Interestingly,eventhoughweretainedtheseparticipants’datainourmodel,the modelresultswereverystrong.Thus,itispossiblethatmostoftheparticipantswere subconsciouslymanipulated.Thiscouldbeanimportantartifactoftheexposureeffect, onwhichwebuildpartofourtheory.Bornstein’s[8]seminalmeta-analysisshows thattoexperiencetheexposureeffect,participantsneednotrecognizethestimulus. Thus,furtherresearchshouldinvestigatewhetherbriefexposurestobrandingalli-ancesresultinapositiveeffectsimilartothepositiveeffectthatoccurswhenone recognizestheexposure.
OtherthanthequalityoftheWebsite,wemeasuredandexploredfactorsthatmay contributetoperceivedWebsitequality.ExploratoryanalysissuggestedthataWeb siteuser’spersonaldispositiontowardinnovationisastrongpositivefactorinassess-ingWebsitequality.YetexperiencewithWebsiteswasaweaknegativepredictor ofperceivedWebsitequality.Thus,totheextentthatWebsitedesigncanencourage explorationandinnovation,itispossiblethatperceptionsofWebsitequalitycouldbe manipulated,despitetheexperienceoftheWebsiteuser.Wesuspectthattherecould beastrongrelationshipbetweencomputerself-efficacyandpersonalinnovativeness withWebsites.JointresearchonWebsitefactorsthatcouldimprovetheseconstructs wouldbenefitWebsitequalityimpressions—and,mostimportantly,perceptionsof trust.
privacyandsecuritysealscouldincreasetrustinWebsites.Instead,theresearchers showedthatreputation,Websitecosmetics,andotherWebsiteattributesappearto betterencouragetrust.
Conclusion
Findingwaystoincreaseinitialtrustinunknowne-commerceWebsiteswasthe maingoalofthisstudy.Researchshowsthatwell-known,familiarbrandsaremore trusted;yetapplyingthisknowledgetounfamiliare-commerceWebsiteshasbeen overlooked.Accordingly,thisstudyexploredhowbrandingalliancesareableto transferpositiveimpressionstounknownWebsitesandincreasethelikelihoodof initialtrustbyconsumers.Ourstudyindicatesthat,inourcontext,Websitequal-ityandWebsitebrandingareimportantconstructsindevelopingconsumertrust ofunknownWebsites.Furthermore,Websitequalityhasanimportanteffecton brandimage.
Acknowledgments:Theauthorsappreciatefundingandsupportreceivedforthisstudyfromthe InformationSystemsDepartmentandaMentoredEnvironmentGrant,bothatBrighamYoung University.TheyalsoappreciatefundingandsupportwithdatacollectionfromtheInformation SystemsDepartmentatGeorgiaStateUniversity.TheythankDetmarStraubforassistingwith theresearchdesignandprovidingfeedbackthroughouttheproject.Finally,theyaregrateful forreviewsandcopyeditingbyHarrisonMcKnight,TrevorHigbee,MarvinK.Gardner,Paul Rawlins,LoriAnnBruton,AaronBailey,andJacobWilkes.
N
OTES1.Fulldocumentationofthescalesisavailableuponrequestfromtheauthors.
2.Specificresultsofeachfactorialvaliditystepareavailableuponrequestfromtheau-thors.
3. Specific results of the formative validity check are available upon request from the authors.
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