Identifying and Describing the Network of Health, …...Analysis: Social network analysis (SNA) is a...
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THELINCYINSTITUTERESEARCHBRIEF SPECIALREPORTNO.1
November2013
IdentifyingandDescribingtheNetworkofHealth,Education,andSocialServiceNon‐ProfitOrganizationsinSouthernNevadaBYSHANNONM.MONNAT,PhDANNASMEDLEY,MAFATMANASOZ,PhD
Abstract
Thisbriefpresentstheresultsofapartneringsurveydesignedtomeasurethepartneringpowerofeachhealth,education,andsocialservicenon‐profitinsouthernNevadaindicatedbytheconnectionsbetweentheseorganizations.Thesurveydocumentswhichorganizationsengagedinthemostpartnering,increasingthepotentialthattheycouldbetterleverageinvestmentsandphilanthropythroughtheirsocialnetwork.UniversityofNevadaLasVegas(UNLV),UnitedWayofSouthernNevada(UWSN),HELPofSouthernNevada,CatholicCharities,ThreeSquare,theClarkCountySchoolDistrict,GoodwillofSouthernNevada,andOpportunityVillageconsistentlyrankedhighlyintermsofoverallparticipationandactivity,influence,accesstoinformationandresources,andabilitytomobilizethenon‐profitcommunity.Therewerealsoanumberofsmallerorganizationsthatwefoundtobeimportantbrokersandconnectors,andtheseorganizationscanbeusedasmodelsforimprovingthecapacityoflower‐budgetandlesser‐resourcedorganizationsinthecommunity.1
IntroductionandSummaryofFindingsManyoftheeconomic,social,anddemographicissuesfacingsouthernNevadaaredynamicandinterrelated,requiringacoordinatedapproachonthepartofsouthernNevada’snon‐profitcommunity.Thecoordinationofservices,skills,andtalentsenablescommunityneedstobeaddressedinwaysthatexceedthescopeandcapacityofanysingleorganization.Withtheincreasingdesireoffundingorganizationstosupportcollaborativeefforts,maintainingsustainable
connectionsbetweensouthernNevada’snon‐profitorganizationsisneedednowmorethanever.
ThisisthefirstcomprehensivestudyofsouthernNevada’shealth,education,andsocialservicenon‐profitnetwork.Viaaweb‐basedsurveyofnearly300executivedirectorsandotherleadersofhealth,education,andsocialservicerelatednon‐profitorganizationsinClarkCounty,wewereabletoconductasocialnetworkanalysistoidentifythestructureofthenon‐profitnetworkaswellasthepositionsofindividualorganizationswithinthatnetwork.
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WefoundthatsouthernNevada’snon‐profitnetworkisnotdense,dueinparttothevastsizeofthenetwork(460organizationswereidentified).Thelargestorganizationsarewellconnected,butthereareopportunitiesfordevelopingmoreconnectionsacrossorganizationsofallsizesandsectors.Ourfindingsshowthattheaverageorganizationisconnectedwithtenothernon‐profitorganizationsinsouthernNevada,buttherearealsoanumberofisolates(i.e.,completelydisconnectedorganizations).
Intermsofoverallparticipationandactivity,influence,accesstoinformationandresources,andabilitytomobilizethenon‐profitcommunity,UniversityofNevadaLasVegas,UnitedWayofSouthernNevada,HELPofSouthernNevada,CatholicCharities,ThreeSquare,theClarkCountySchoolDistrict,GoodwillofSouthernNevada,andOpportunityVillageconsistentlyrankedhighly.However,therewerealsoanumberofsmallerorganizationsthatwefoundtobeimportantbrokersandconnectors,andtheseorganizationscanbeusedasmodelsforhelpingtobuildthecapacityoflower‐budgetandlesser‐resourcedorganizationsinthecommunity.
Whenaskedaboutbarrierstocollaboration,surveyrespondentsindicatedlackoffundingandresources,perceptionsofterritorialityandcompetition,theneedfortraining,concernaboutlackofdataavailabilityandusage,thedesireformorenetworkingopportunities,andcritiquesofleadership.MotivationandPurposeThereisaneedwithinsouthernNevadatomanagenon‐profitorganizationsefficientlyandeffectivelyandtoaugmentnon‐profitorganizations’abilitiestobuildadaptiveprograms,successfullycompeteforfederalandfoundationalgrantfunding,andeffectivelyservetheresidentsofsouthernNevada.Todate,nosystematicstudyexploredcollaborationsamongsouthernNevada’snon‐profitorganizations.Evidencegeneratedthroughthisprojectcanhelpguidethedevelopmentofoptimalstrategiestoimprovenon‐profitorganizationalcooperation,collaboration,andperformance
relatedtosocial,health,andeducationaloutcomes.
Thisprojectidentifiesthestructureofnonprofithealth,education,andsocialservicenetworkswithaspecialemphasisonidentifyingthenonprofit“leaders”insouthernNevada.Nonprofitleadersarethosewhoinfluencetheopinions,motivations,and/orbehaviorsofotherorganizationsandstakeholders.Thesearetheagenciesthat“makethingshappen.”Leadership,mostoftendiscussedinthecontextofindividualopinionleadershipandthediffusionofinnovationsmodelcanbeappliedtothenonprofitsectortoidentifywhichorganizationsarethemostactivewithinsouthernNevada’snonprofitnetwork,whichorganizationshavethegreatestaccesstoinformationandresources,andwhichorganizationscanserveasbrokers,intermediaries,andinnovatorsofdevelopmentandchange.ResearchMethodsSampleandResearchTools:Theprimaryresearchtoolusedinthisstudywasaweb‐basedsurveyadministeredtoExecutiveDirectorsandotherleadersofhealth,education,andsocialservicenon‐profitorganizationslocatedinClarkCounty,Nevada.Thesurveyandresearchplanweredevelopedviaacollaborativeeffortbetweenthestudy’sprincipalinvestigator,TheLincyInstituteScholars,andtheExecutiveDirectorofTheLincyInstitute.TheresearchprotocolwasapprovedbytheUniversityofNevada,LasVegasInstitutionalReviewBoard(IRB).
Analysis:Socialnetworkanalysis(SNA)isadistinctivemethoddesignedtomap,measure,andanalyzethecomplexrelationshipsthatoccurbetweenpeople,groups,andorganizations.Usingmathematicalalgorithmsandappropriatesoftwaredesignedspecificallyfornetworkanalysis,wecanexamineinformationandresourceflows,levelsofcooperationandcollaboration,andoverallpatternsofrelationshipsbetweennon‐profitorganizationsandhowthosepatternsfacilitateorconstraintheoverallfunctioningofsouthernNevada’snon‐profitnetwork.Accordingly,inadditiontobasicstatisticsdescribingthesample,wehave
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providedtheresultsofournetworkanalyses,includingsociograms(Moreno&Jennings,1934)andsociometricstatisticsthatdescribethenetworkpositionsofselectedindividualorganizations(e.g.,organizationalcentrality)aswellascharacteristicsoftheentirenon‐profitnetwork(e.g.,networkdensity).OrganizationalCharacteristicsWeaskedrespondentstoidentifysomecharacteristicsabouttheirorganizations,includingyearsofoperation,numberofemployees,annualoperatingbudget,andtypesofservicesprovided.Whenarespondentdidnotidentifythestartyearoftheorganization,weattemptedtolocatethatinformationviatheorganization’swebpageorGuideStar.Thesamplesizesvaryacrosseachofthefiguresbelowduetoavaryingnon‐responserateoneachoftheitems.
AsshowninFigure1,thenon‐profitcommunityinsouthernNevadaisyoung;47.5%oforganizationswerestartedin2000orlater.Over78%ofhealth,education,andsocialservicenon‐profitorganizationsinsouthernNevadaareunder35yearsold.
Figure1YearOrganizationBegan,N=387
Mostorganizationsoperatewithsmallbudgets(under$1,000,000),asshowninFigure2below.34%ofrespondentsindicatedthattheirannualoperatingbudgetislessthan$250,000withanother13.7%reportinganoperatingbudgetof$250,000‐500,000.However,nearly20%ofrespondentsreportedannualoperatingbudgetsof$5,000,000ormore.Theseareoftengovernmentorganizations,funders,andthelargestprivatenon‐profitorganizations.
Figure2AnnualOperatingBudget,N=291
Mostorganizationsarealsoquitesmall;morethanhalfofrespondents(53.8%)reportedhaving10orfeweremployees.About12%oforganizationsemployed11‐30people,9.3%employ31‐50,andjustunderaquarteroforganizationsemploy51peopleormore(seeFigure3below).
Figure3NumberofEmployees,N=290
SocialNetworkAnalysisSocialnetworkanalysisprovidesinformationaboutboththestructureofthenon‐profitnetworkasawholeaswellasthepositionsofindividualorganizationswithinthenetwork.
Networkanalysisenablesustodeterminethemostwell‐connectedandinfluentialorganizationswithinanetworkaswellastheoverallcohesivenessofthenetwork.Toassessthehealth,education,andsocialservicenon‐profitnetworkstructure,weaskedrespondentstolistupto20southernNevadanon‐profitorganizationswithwhichtheyweremostconnected.Weindicatedthattheorganizationslistedcouldbeprivateorlocal/stategovernmentorganizationsbutspecifiedthattheymustbelocatedin
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southernNevadaandmustbeinthehealth,socialservices,oreducationalfields.Someexamplesofconnectionswere:havingaformalMemorandumofUnderstanding(MOU),sharingpersonnel,volunteers,spaceordata,referringclients,receivingclientreferrals,receivingfunding,providingfunding,havingboardmembersincommon,participatingincommonprojectsorinitiatives,collaboratingongrantproposals,andco‐sponsoringevents.Respondentscouldalsotypeinotherwaysinwhichtheywereconnectedthatwerenotlistedonthesurvey.
Figure4representsasociogram(graphicalpresentationofconnections)(Moreno&Jennings,1934)oftheentirehealth,education,andsocialservicenon‐profitnetworkinsouthernNevada,withlargercirclesrepresentingagreaternumberofconnections.Circlesarealsocolorcodedbaseduponsector(private,government,faith‐based,andphilanthropic).
Figure4SociogramofConnectionsbetweenHealth,Education,andSocialServiceNon‐profitOrganizationsinSouthernNV
Thesecondapplicationofsocialnetworkanalysisinthisprojectwastohelpusunderstandtherolesandpositionsofindividualorganizationswithintheoverallnetwork.Thepositionofanorganizationwithinthenetworkdeterminesitscapacitytoaccessknowledgeandresources,spreadthatknowledgeefficiently,andcontroltheflowofinformationandresources.Ultimately,theorganizationsthatscorethehighestonseveralkeynetworkmeasuresareconsideredtobethemostactiveandinfluentialwithintheoverallsystem.
Thereareanumberofwaystodescribeanorganization’sparticipationwithin,importanceto,orinfluenceovertheoverallnetwork.Themostcommonmeasuresofcentralityaredegree,eigenvector,betweenness,andcloseness.Networkswithmorecentralstructureshavegreatercapacitytocoordinateotherorganizationsandproviderapidresponsetonewopportunities.Theyalsohavegreatercapacitytoanticipateandcopewithuncertaintiesandchallenges(Blanchet&James,2011).
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DegreeCentrality–Howpopularisyourorganization?
Oneofthemostcommonwaystomeasurenetworkcentralityisviadegreecentrality.Degreecentralityissimplythenumberofimmediatecontactsanorganizationhasintheoverallnetwork.Degreecentralityisviewedastheorganization’slevelofinvolvementoractivityinthenetworkandcharacterizestheextenttowhichanorganizationcanbeconsideredtobeamajorchannelforinformation.Organizationswithhighdegreecentralityareinvolvedwithmanyother
organizationsandthushavethepotentialtoobtainanddisseminateinformationandresourcesquickly.Alistofthe20organizationswiththehighestdegreecentralityispresentedinTable1withtheoverallnumberofties(connectionswithotherorganizations)andthestandardizedmeasurethatrepresentstheproportionofconnectionstheorganizationhasoutofallpossibleconnections.Figure5belowpresentsasociogramofthese20organizationswiththehighestdegreecentralityscores.
Table1DegreeCentrality‐Top20Organizations
Wecanseethattheprivatenon‐profitorganizationsarethemostrepresentedwith11organizationswhilethefaith‐basedorganizationsaretheleastrepresentedwithonlyoneorganization(CatholicCharities).Overall,thetop20mostconnectedorganizationsarealsowellconnectedwitheachother.
UNLV,forexample,isdirectlyconnectedto11oftheseorganizations,andThreeSquareandCatholicCharitiesaredirectlyconnectedto14organizationseach.Everyorganizationwithinthetop20caneitherdirectlyreacheachotherorreacheachotherindirectlythroughapaththroughoneortwootherorganizations.
Organization DegreeCentrality(NumberofTies)
StandardizedDegreeCentrality
UNLV 97 0.213
UnitedWayofSouthernNevada 82 0.180
HELPofSouthernNevada 73 0.160
CatholicCharities 72 0.158
ThreeSquare 70 0.154
ClarkCountySchoolDistrict 66 0.145
OpportunityVillage 55 0.121
GoodwillofSouthernNevada 50 0.110
ClarkCountyFamilyServices 41 0.090
ClarkCountySocialServices 41 0.090
BoysandGirlsClubsofLasVegas 40 0.088
TheShadeTree 39 0.086
LasVegasUrbanLeague 38 0.083
NevadaPartners 38 0.083
NevadaPEP 38 0.083
SouthernNevadaHealthDistrict 37 0.081
MGMResortsFoundation 37 0.081
CityofLasVegas 36 0.079
LegalAidCenterofSouthernNevada 36 0.079
SafeNest 35 0.077
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Figure5SociogramofConnectionsbetweenthe20MostConnectedOrganizations
red=private;blue=government;green=funders;pink=faith‐based
EigenvectorCentrality–Howpopularareyourfriends?
Inadditiontohowmanyconnectionsanorganizationhas,itisalsoimportanttobeconnectedtothe“right”organizations.Thatis,anorganizationincreasesitscentralityinthenetworkanditsabilitytoobtaininformationandresourcesifitisconnectedtootherorganizationsthathavenumerousconnections.Inachildhoodfriendshipcircle,thiswouldbeafriendshipwiththemostpopularkids.Thismeasureisreferredtoaseigenvectorcentrality.
Organizationswithahighnumberoftiessometimesalsohavehigheigenvectorcentralityscores,butnotalways.Forexample,althoughTheSalvationArmyandCommunitiesinSchoolsNevadawerenotinthetop20fordegreecentrality,theredidratehighlyoneigenvectorcentrality.Thus,whilethoseorganizationsthemselvesdonothavethesamehighnumberofconnectionsasUNLVorUnitedWay,forexample,theyareconnectedtowell‐connectedorganizations,affordingthemaccesstoinformationandresources.
Table2liststhe20organizationswiththehighesteigenvectorcentrality.
Table2EigenvectorCentrality‐Top20Organizations
Organization EigenvectorCentrality
United WayofSN 0.239UNLV 0.222ThreeSquare 0.218HELPofSouthernNV 0.216CatholicCharities 0.214ClarkCountySchoolDistrict 0.186GoodwillofSouthernNV 0.161OpportunityVillage 0.151LasVegasUrbanLeague 0.144BoysandGirlsClubsofLV 0.142CityofLasVegas 0.141ClarkCountySocialServices 0.127TheSalvationArmySouthernNV 0.122NevadaPartners 0.121VegasPBS 0.120CommunitiesinSchoolNV 0.118TheShadeTree 0.115MGMResortsFoundation 0.114ClarkCountyFamilyServices 0.105CityofNorthLasVegas 0.101
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BetweennessCentrality–Whereistheorganizationlocatedinthenetwork?
Whereanorganizationislocatedinthenon‐profitnetworkisalsoimportant.Anorganizationthatissituatedbetweendisconnectedorganizationscanserveasanintermediaryoraninformationandresourcebroker.Thisplacementaffordstheorganizationcertainadvantagesandpowerbecauseitcancontroltheflowofinformationandresources.Ifanorganizationrestsbetweenmanyotherorganizationsinthenetwork,thatorganizationcangreatlyinfluencethenetworkbybeinganeffectivemessengerofinformation.Thistypeofnetworkcentralityisreferredtoasbetweennesscentrality.Researchindicatesthatbetweennesscentralitybestcapturesthemostimportantactorsinanetwork–thenon‐profitleadersormostinfluentialorganizations(Freeman,1979;Wasserman&Faust,1994)
Table3Freeman’sBetweennessCentrality‐Top20OrganizationsOrganization Betweenness
Centrality
UNLV 12.254UnitedWayofSN 8.007HELPofSouthernNevada 6.911OpportunityVillage 5.449CatholicCharities 5.329ThreeSquare 5.197ClarkCountySchoolDistrict 5.119TheShadeTree 2.682GoodwillofSouthernNevada 2.596NevadaPEP 2.371ClarkCountyFamilyServices 2.232MGMResortsFoundation 2.216SNHealthDistrict 2.159WestcareFoundation 2.134LegalAidCenterofSN 2.083NevadaStateCollege 1.990
NVHealthDivision&DivisionofMentalHealthServ.
1.977
ClarkCountySocialServices 1.961USOLasVegas 1.900NevadaGIVES 1.881Note:NormalizedValues
Anorganizationwithahighbetweennesscentralityscorecanbeconsideredabridgingorganization.
Ifthatorganizationwasremovedfromthenetwork,thenetworkwouldbecomedisconnectedorinthemostextremecaseitcouldcollapse.Table3liststhe20organizationswiththehighestbetweennesscentralityscores.
ClosenessCentrality–Howindependentistheorganization?
Closenesscentralityemphasizesanorganization’sindependence.Anorganizationthatisclosetomanyotherorganizationsisveryindependentbecauseitcanquicklyreachouttomanyotherswithoutneedingtorelymuchonintermediariesorbrokers.Theseorganizationscanalsoquicklymobilizeothersinthenetworkbecausetheycanmoreeasilyreachouttomanyorganizationsthancanmoredisconnectedorganizations.Researchershavelinkedclosenesscentralitywiththeabilitytoeasilyaccessinformationinanetwork(Leavitt,1951)andwithhavingpowerandinfluenceoverthenetwork(Coleman1973;Friedkin,1991).Table4liststhe20organizationswiththehighestclosenesscentralityscores.
PredictingCentrality
Aftercalculatingthemostcommoncentralityscoresforeachorganization,wemergedthosescoreswithdatacollectedfromtheorganizationsorinformationwecouldfindonlineabouttheirsize,budget,age,andtypesofservicesprovided.Withthatinformation,weareabletopredictthetypesoforganizationsthatshouldhavehighcentralityscores.Inotherwords,whatorganizationalcharacteristicsareassociatedwithdegree,eigenvector,betweenness,andclosenesscentrality?
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Table4ClosenessCentrality‐Top20Organizations
Organization ClosenessCentrality
UnitedWayofSN 8.318UNLV 8.308HELPofSouthernNevada 8.292ThreeSquare 8.276CatholicCharities 8.270ClarkCountySchoolDistrict 8.240OpportunityVillage 8.221GoodwillofSN 8.187MGMResortsFoundation 8.152SalvationArmySN 8.143LasVegasUrbanLeague 8.141CityofLasVegas 8.134ClarkCountyFamilyServices 8.133ClarkCountySocialServices 8.133LegalAidCenterofSN 8.133BoyandGirlsClubsofLV 8.131VegasPBS 8.123TheShadeTree 8.121NevadaGIVES 8.117CommunitiesinSchoolsofNV 8.115Note:NormalizedValues
Theresultsofbivariatecorrelationanalysesshowthattherearesignificantpositiverelationshipsbetweenorganizationage,numberofemployees,annualbudgetandcentralityscores.
Onaverage,olderandlargerorganizations,intermsofbothnumberofemployeesandbudget,havegreatercentralityinthenetwork,includinggreateractivity,influence,power,andaccesstoknowledgeandresources.Overall,thereisanegativerelationshipbetweenbeingaprivatenon‐profitorganizationandeachofthecentralityscores,butthisislargelybecausetherearesomanyprivatenon‐profitorganizationswith
onlyoneortwoconnections,andthoseoutnumberthehandfulofprivatenon‐profitorganizationswithalargenumberofconnections.Finally,beingagovernmentnon‐profitorganizationhasapositiverelationshipwithdegree,eigenvector,andbetweennesscentrality,whilethereisnorelationshipbetweenbeingafunderorfaith‐basedorganizationandcentralityscores.
Accordingly,wecalculatedthepredicted(i.e.expected)centralitymeasuresforalltheorganizationswithcompleteage,budget,andemployeenumberinformation.Therewere276suchorganizations.Aftercalculatingtheexpectedvalues,wecomparedthosetothemeasuredcentralitymeasuresvalues.Someorganizationsperformedbetterthanexpectedandsomeperformedworsethanexpectedineachcentralitymeasure.
Werankedtheover‐performingorganizationsusingtherelativedifferenceformula(i.e.,thedifferencebetweenthemeasuredandtheexpectedscorerelativetotheexpectedscore,whichtakesthesizeoftheexpectedscoreintoaccount).Tables5through8displaythetop10over‐performingorganizationsineachcentralitymeasure.
Amongtheunder‐performingorganizations,somedefaultedtothiscategorybecausetheirmainareasofoperationarenothealth,education,orsocialservices.However,someorganizationsareunder‐performingdespitethefactthattheyoperateinoneormoreofthoseareasandthattheirbudget,age,andnumberofemployeespredictthemtohavehighcentralityscores.TwoofthoseorganizationsareUniversityofNevadaCooperativeExtension(DegreeCentrality–Expected:25.550,Measured:4)andCure4theKidsFoundation(DegreeCentrality–Expected:24.627,Measured:5)
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Table5DegreeCentrality‐Top10Over‐PerformingOrganizations
Table6EigenvectorCentrality‐Top10Over‐PerformingOrganizations
Table7Freeman’sBetweennessCentrality‐Top10Over‐PerformingOrganizations
Organization Expected Measured RelativeDiff.UNLV 23.318 97 3.160UnitedWayofSouthernNevada 20.046 82 3.091NevadaGIVES 7.449 30 3.027MGMResortsFoundation 10.291 37 2.595NevadaPartners 11.671 38 2.256HELPofSouthernNevada 23.701 73 2.080CatholicCharities 23.426 72 2.074ThreeSquare 23.021 70 2.041FamilyTiesofNevada 7.548 22 1.915NevadaHomelessAlliance 7.565 22 1.908
Organization Expected Measured RelativeDiff.NevadaGIVES 0.019 0.093 3.905UnitedWayofSouthernNevada 0.058 0.239 3.135MGMResortsFoundation 0.028 0.114 3.123NevadaHomelessAlliance 0.019 0.077 2.988NevadaPartners 0.032 0.121 2.795NevadaPublicEducationFoundation 0.019 0.071 2.658ThreeSquare 0.066 0.218 2.285UNLV 0.069 0.222 2.229CatholicCharities 0.068 0.214 2.138HELPofSouthernNevada 0.069 0.216 2.136
Organization Expected Measured RelativeDiff.UNLV 1.134 12.254 9.801USOLasVegas 0.229 1.900 7.296UnitedWayofSouthernNevada 0.988 8.007 7.107NevadaGIVES 0.236 1.881 6.955SHARE 0.267 1.625 5.087MGMResortsFoundation 0.375 2.216 4.912ActionRed 0.232 1.353 4.843R&RPartnersFoundation 0.241 1.405 4.841FamilyTiesofNevada 0.253 1.479 4.835HELPofSouthernNevada 1.193 6.911 4.791
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Table8ClosenessCentrality‐Top10Over‐PerformingOrganizations
Organization Expected Measured RelativeDiff.HeartheCry 6.676 7.831 0.173EmergencyAidofBoulderCity 6.766 7.917 0.170HopeofNevada 6.679 7.787 0.166NevadaPartners 7.125 8.111 0.138NevadaGIVES 7.221 8.117 0.124JuniorLeague 7.058 7.922 0.122NevadaPublicEducationFoundation 7.184 8.028 0.117TheAdoptionExchange 7.165 7.971 0.113NevadaHomelessAlliance 7.197 8.003 0.112ProgressiveChoices 6.964 7.724 0.109
IdentifyingOpinionLeaders
Inadditiontoaskingsurveyrespondentstoidentifytheorganizationswithwhichtheirorganizationswereconnected,wealsoaskedthemtoidentifyupto10peoplewhomtheyperceivetobetheleadersand/orconnectorsofthenon‐profitcommunityofsouthernNevada.Wespecifiedthatthesearethepeopletowhomanexecutivedirector,programcoordinator,etc.,mightturnforadvice,expertise,assistance,orcollaborationwhenopportunitiesforfundingor
programmaticimprovementarose.Atotalof569peoplewereidentified.Mostofthosepeople(73%,N=414)wereidentifiedonlyonce.CassPalmerandStaceyWeddingwereidentifiedthemostfrequentlyat26timeseach.Thewordcloudbelow(Figure6)identifiesthepeoplewhoweremostcommonlylistedasopinionleaderswithlargerfontsizesindicatingmoretimesidentified.
Figure6WordMapofOpinionLeaders
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BarrierstoCollaborationWeaskedrespondentstorankthemostimportantbarrierstheyseetocollaboratingwithothernon‐profitorganizationsonafive‐itemscalefromgreatestbarriertolowestbarrier.TheresultsoftherankingarepresentedinFigure7.
Figure7PerceivedBarrierstoCollaboration(%),
N=217
Inadditiontoaskingaboutbarriers,weaskedrespondentstoindicatetheirperspectivesaboutthecapacityofthehealth,education,andsocialservicenon‐profitcommunitytoeffectivelysecuregrantfunding.Abargraphshowingthepercentageofrespondentswhoreportedthattheoverallcapacitywasexcellent,good,fair,andpoorisdisplayedinFigure8.
Figure8PerceivedCapacityoftheSouthernNevadaNon‐ProfitstoSuccessfullyCompeteforFunding;
N=240
ConclusionSouthernNevadaisanever‐changingcommunitywithadiversesetofsocial,economic,anddemographicchallenges.Nosingleorganizationisabletodealwiththesechallengeseffectively.AcoordinatedapproachtoservicedeliverycanhavemanyadvantagesfortheresidentsofsouthernNevada,aswellastheemployeesofnon‐profitorganizationsthemselves.Suchadvantagesincludethecomingtogetherofdiversestakeholderswithdifferingperspectives,thepoolingoftangibleandinformation‐basedresources,thesharingofideasandstrategies,thediversificationoftalentsandcapabilities,reductionsinoverlapinservicesandthecoordinationofexistingservices,researchandanalysesthatarebroaderinscopeandmoreexpansiveindetailthanthosedonebyasingleorganization,andauniquechancetobetterunderstandotherorganizationsinourcommunity.Collaborationdoesnotcomewithoutchallenges,however.Successfulcollaborationsdemandclearcommunicationbetweenorganizations,amutuallybeneficialandwell‐definedrelationship,acommitmenttomutualgoalsandobjectives,sharedresponsibility,mutualauthority,accountabilityandrespect,andthesharingofresourcesandrewards(Parkinson,2013).
WehopethatthisstudycanserveasastartingpointforalargerdiscussionaboutsouthernNevada’snon‐profitcommunity,thecapacityofourorganizationstosuccessfullycompeteforfundingandserveclients,andstrategiesforimprovingcollaborationandmakingsouthernNevadaabetterplaceforourresidentstolive,work,andplay.
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AbouttheAuthors
ShannonM.Monnat,PhD,isanAssistantProfessorofRuralSociologyandDemographyatPennStateUniversity.ShewasanAssistantProfessorofSociologyatUniversityofNevada,LasVegasfrom2008‐2013.ShereceivedherPhDinSociologyfromtheUniversityatAlbany,StateUniversityofNewYorkin2008.Herinterdisciplinaryresearchfocusesonthesocialdemographyofyouth,children,andfamilieslivinginruralandurbanareasoftheU.S.withaparticularfocusonsocialandspatialinequalitiesandsocialdeterminantsofhealth.Sheisinterestedinhowthecharacteristicsofneighborhoods,families,andschoolscreatebarrierstoorprovideopportunitiesforwell‐being.
AnnaSmedley,M.S.W.,isastudentintheSociologyPhDprogramattheUniversityofNevada,LasVegas.Sheiscompletingherdissertationonvariationinoccupationalmobilityamongwhite,black,Mexican,PuertoRicanandCubanwomenoverthepastthreedecades.Since2007Annahasbeeninvolvedinon‐goingdiversityandcommunityengagementinitiativesthataimtocreateacollege‐goingcultureinsouthernNevada,increaseaccesstohighereducationforunderrepresentedgroups,andcreateamoreinclusivecampusenvironment.Sheisinterestedinracialandethnicvariationsinsocialmobilityandteachingforsocialjustice.
FatmaNasoz,PhD,istheseniorresidentscholarofinformationtechnologywithTheLincyInstituteatUNLV.Previously,shewasanAssistantProfessoratUNLV’sSchoolofInformatics.SheischargedwithleadingtheInstitute’stechnologyinitiativesthatwillenhancetheITanddatacapabilitiesofsouthernNevada’snonprofitandgovernmentagencieswithinthesectorsofhealth,educationandsocialservices.HeracademicresearchfocusesonArtificialIntelligenceandHuman‐ComputerInteraction.ShereceivedherPhDinComputerSciencefromUniversityofCentralFloridain2004.
Acknowledgments
TheauthorswishtothankTheLincyInstituteatUNLVforprovidingfundingandtechnicalsupportforthisprojectandtheDepartmentofSociologyatUNLVforprovidingcomputingsupport.SpecialthankstograduateresearchassistantsinTheLincyInstitutefortheirhelpinlocatingcontactinformationforthenon‐profitorganizationsandtoRobertLang,LucyKlinkhammer,AlexandraNikolich,SonyaHorsford,RamonaDenbyBrinson,andDeniseTanataAshbyfortheirfeedbackontheresearchplanandsurveydesignandtheirassistancewithidentifyingthepoolofeligiblenon‐profitorganizationsinClarkCounty.
AboutUNLV
UNLV,foundedin1957,isaninstitutionofapproximately27,000studentsandnearly2,900facultyandstafflocatedonthesoutherntipofNevadaminutesfromtheLasVegasStrip.ClassifiedbytheCarnegieFoundationfortheAdvancementofTeachingasaresearchuniversitywithhighresearchactivity,UNLVoffersmorethan200undergraduate,graduateanddoctoraldegreeprogramsincludinginnovativeacademicdegreesinsuchfieldsasgamingmanagement,entrepreneurship,entertainmentengineeringandmuchmore.Theentertainmentcapitaloftheworld,LasVegasoffersstudentsa“livinglaboratory”forresearch,internships,andawidevarietyofjobopportunities.UNLVisdedicatedtodevelopingandsupportingthehumancapital,regionalinfrastructure,andeconomicdiversificationthatNevadaneedsforasustainablefuture.Formoreinformation,visit:http://www.unlv.edu/
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AboutTheLincyInstitute
Establishedin2009,TheLincyInstituteconductsandsupportsresearchthatfocusesonimprovingNevada’shealth,education,andsocialservices.ThisresearchwillbeusedtobuildcapacityforserviceprovidersandenhanceeffortstodrawstateandfederalmoneytothegreaterLasVegas.TheLincyInstitutewillalsohighlightkeyissuesthataffectpublicpolicyandquality‐of‐lifedecisionsonbehalfofchildren,seniors,andfamiliesin.RobertE.Lang,Ph.D.servesastheInstitute’sExecutiveDirector.Tolearnmorevisit:http://www.unlv.edu/lincyinstitute
4505S.MarylandParkway,Box453067LasVegas,NV89154(702)895‐0088
Thisinformationmaybeusedandcopiesmadefornon‐commercialpurposes.Properattributionisrequired.
Forcitationpurposes,pleaseuse:Monnat,S.M.et.al.(2013,October).IdentifyingandDescribingtheNetworkofHealth,Education,andSocialServiceNon‐ProfitOrganizationsinSouthernNevada,SpecialReportNo.1,TheLincyInstituteatUniversityofLasVegas.